CN105816163A - Method, device and wearable equipment for detecting heart rate - Google Patents
Method, device and wearable equipment for detecting heart rate Download PDFInfo
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Classifications
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
- A61B5/02416—Detecting, measuring or recording pulse rate or heart rate using photoplethysmograph signals, e.g. generated by infrared radiation
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1118—Determining activity level
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7203—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
Abstract
The invention provides a method, device and wearable equipment for detecting heart rate. The method comprises the following steps: calculating a time domain characteristic value and a frequency domain characteristic value of first PPG data acquired in a preset time cycle; determining the heart rate signal quality in the preset time cycle according to the time domain characteristic value and frequency domain characteristic value of the first PPG data and the activity of the user in the preset time cycle; and determining the heart rate value of the user in the preset time cycle according to the time domain characteristic value and the frequency domain characteristic value of the first PPG data, the heart rate signal quality in the preset time cycle and the heart rate related data in the previous preset time cycle, wherein the heart rate related data comprises the heart rate value and the heart rate signal quality. By adopting the technical scheme, the influence of noise for PPG data can be effectively reduced, and the accuracy of resting heart rate calculation can be improved.
Description
Technical field
The application relates to wearable device technical field, particularly relates to a kind of detect the method for heart rate, device and wearable device.
Background technology
Heart rate refers to the number of times of heart beating per minute under normal person's rest state, determines that the important indicator that the person is the most healthy, and real-time and convenient measurement heart rate is increasingly subject to people's attention.
In prior art, photoplethaysmography (PhotoPlethysmoGraphy, PPG) technology for detection human heart rate can be passed through.Affected by many factors, the PPG data of use equipment collection may be interfered, such as, relative displacement of equipment wearing position, the body gesture of user of wearable device, skin and equipment etc. all can produce interference to PPG data, PPG data is polluted, the PPG data gathered cannot ensure heart rate signal quality, causes heart rate detection inaccurate, and then the judgement that impact is to user's body health.
Summary of the invention
In view of this, the application provides a kind of new technical scheme, can solve the inaccurate technical problem of heart rate detection caused due to heart rate signal quality.
For achieving the above object, the application provides technical scheme as follows:
First aspect according to the application, it is proposed that a kind of method detecting heart rate, applies on wearable device, including:
The temporal signatures value of the first photoplethaysmography PPG data obtained in calculating preset time period and frequency domain character value；
Temporal signatures value according to described first PPG data, described frequency domain character value and described user activity in described preset time period, determine the heart rate signal quality in described preset time period；
Heart rate signal quality in temporal signatures value according to described first PPG data, described frequency domain character value, described preset time period and the heart rate related data of previous preset time period, determine described user heart rate value in described preset time period, wherein, described heart rate related data includes heart rate value and heart rate signal quality.
Second aspect according to the application, it is proposed that a kind of device detecting heart rate, applies on wearable device, including:
Computing module, the temporal signatures value of the first photoplethaysmography PPG data obtained in calculating preset time period and frequency domain character value；
Quality determination module, for the temporal signatures value according to calculated described first PPG data of described computing module, described frequency domain character value and described user activity in described preset time period, determine the heart rate signal quality in described preset time period；
Heart rate determines module, heart rate signal quality in the described preset time period that the temporal signatures value of described first PPG data calculated according to described computing module, described frequency domain character value, described quality determination module determine and the heart rate related data of previous preset time period, determine described user heart rate value in described preset time period, wherein, described heart rate related data includes heart rate value and heart rate signal quality.
The third aspect according to the application, it is proposed that a kind of wearable device, described wearable device includes:
Processor；
For storing the memorizer of described processor executable；
Wherein, described processor, the method being configured to perform the detection heart rate described in the claims.
From above technical scheme, the application can accurately determine the heart rate signal quality of user, temporal signatures value and frequency domain character value, thus realize in the case of heart rate signal quality being taken into account, combine the temporal signatures value of PPG data and the heart rate value of frequency domain character value calculating user, the noise impact on PPG data can be effectively reduced, improve the accuracy that HRrest calculates；Additionally, the application can also use history heart rate related data to be modified Current heart rate value, and then can ensure that stability and the accuracy of heart rate value, improve the credibility to user's heart rate detection.
Accompanying drawing explanation
Figure 1A shows the schematic flow sheet of the method for the detection heart rate according to one example embodiment of the present invention；
Figure 1B shows the schematic diagram of the second PPG data of the collection according to one example embodiment of the present invention；
Fig. 1 C shows the time domain data schematic diagram that the second PPG data shown in Figure 1B carries out pretreated first PPG data according to one example embodiment of the present invention；
Fig. 1 D show the time domain data that the second PPG data shown in Figure 1B is carried out pretreated first PPG data according to one example embodiment of the present invention carry out fast Fourier transform (FastFourierTransformation, FFT) after frequency domain data schematic diagram；
Fig. 1 E shows the schematic diagram of the another PPG data of the collection according to one example embodiment of the present invention；
Fig. 1 F shows the heart rate result schematic diagram that the another PPG data shown in Fig. 1 E to gathering of the technical scheme according to one example embodiment of the present invention obtains after processing；
Fig. 1 G shows the schematic diagram of the wearable device for detecting heart rate according to one example embodiment of the present invention；
Fig. 2 A shows the schematic flow sheet how obtaining heart rate signal quality in accordance with a further exemplary embodiment of the present invention；
Fig. 2 B shows heart rate signal Mass Calculation mode schematic diagram in accordance with a further exemplary embodiment of the present invention；
Fig. 3 shows the schematic flow sheet how calculating heart rate value in accordance with a further exemplary embodiment of the present invention；
Fig. 4 shows the schematic flow sheet of the method for detection heart rate in accordance with a further exemplary embodiment of the present invention；
Fig. 5 shows the structural representation of the wearable device according to one example embodiment of the present invention；
Fig. 6 shows the structural representation of the device of the detection heart rate according to one example embodiment of the present invention；
Fig. 7 shows the structural representation of the device of detection heart rate in accordance with a further exemplary embodiment of the present invention；
Fig. 8 shows the structural representation of the device of detection heart rate in accordance with an alternative illustrative embodiment of the present invention.
Detailed description of the invention
Here will illustrate exemplary embodiment in detail, its example represents in the accompanying drawings.When explained below relates to accompanying drawing, unless otherwise indicated, the same numbers in different accompanying drawings represents same or analogous key element.Embodiment described in following exemplary embodiment does not represent all embodiments consistent with the application.On the contrary, they only with describe in detail in appended claims, the application some in terms of the example of consistent apparatus and method.
It is only merely for describing the purpose of specific embodiment at term used in this application, and is not intended to be limiting the application." a kind of ", " described " and " being somebody's turn to do " of singulative used in the application and appended claims is also intended to include most form, unless context clearly shows that other implications.It is also understood that any or all possible combination that term "and/or" used herein refers to and comprises one or more project of listing being associated.
Although should be appreciated that in the application possible employing term first, second, third, etc. to describe various information, but these information should not necessarily be limited by these terms.These terms are only used for same type of information is distinguished from each other out.Such as, in the case of without departing from the application scope, the first information can also be referred to as the second information, and similarly, the second information can also be referred to as the first information.Depend on linguistic context, word as used in this " if " can be construed to " ... time " or " when ... " or " in response to determining ".
For the application is further described, it is provided that the following example:
nullFigure 1A shows the schematic flow sheet of the method for the detection heart rate according to one example embodiment of the present invention，Figure 1B shows the schematic diagram of the second PPG data of the collection according to one example embodiment of the present invention，Fig. 1 C shows the time domain data schematic diagram that the second PPG data shown in Figure 1B carries out pretreated first PPG data according to one example embodiment of the present invention，Fig. 1 D show the time domain data that the second PPG data shown in Figure 1B is carried out pretreated first PPG data according to one example embodiment of the present invention carry out FFT after frequency domain data schematic diagram，Fig. 1 E shows the schematic diagram of the another PPG data of the collection according to one example embodiment of the present invention，Fig. 1 F shows the heart rate result schematic diagram that the another PPG data shown in Fig. 1 E to gathering of the technical scheme according to one example embodiment of the present invention obtains after processing，Fig. 1 G shows the schematic diagram of the wearable device for detecting heart rate according to one example embodiment of the present invention；The present embodiment can be applicable to, on wearable device (Intelligent bracelet, Intelligent foot ring etc.), as shown in Figure 1A, comprise the steps:
Step 101, the temporal signatures value of the first photoplethaysmography PPG data obtained in calculating preset time period and frequency domain character value.
In one embodiment, preset time period can be per minute or each second etc. sets time interval.
In one embodiment, owing to the second PPG data gathered is often with high-frequency noise even impulsive noise etc., therefore the second PPG data can be carried out pretreatment, obtain the first PPG data.
In one embodiment, pretreatment includes but not limited to: Filtering Processing (such as: the filtering methods such as time-domain filtering, smothing filtering, medium filtering and adaptive-filtering), the process of reduction sample rate.
As shown in Figure 1B, by the waveform diagram of the second PPG data that the photelectric receiver of wearable device is gathered, transverse axis represents sampling time point, and " 150 " that such as transverse axis is corresponding represent the 150th sampled point, and the longitudinal axis represents the amplitude of PPG data.
As shown in Figure 1 C, for the time domain data waveform diagram to the first PPG data shown in Figure 1B, wherein, transverse axis represents sampling time point, and " 150 " that such as transverse axis is corresponding represent the 150th sampled point, and the longitudinal axis represents the amplitude of PPG data.
As shown in figure ip, carrying out, for the second PPG data shown in Figure 1B carries out pretreated time domain data, the frequency domain data waveform diagram that FFT obtains, wherein, transverse axis represents that frequency, the longitudinal axis represent amplitude.
In one embodiment, the temporal signatures value of the first PPG data includes but not limited to any one in following characteristics value or the combination of more than two: time domain waveform dispersion degree (F1), maximum (F2), the amplitude average (F3) of all sampled points and wave character are (such as the peak-peak (F4) of heart rate volatility, the most greatly crest value (F5), peak valley concussion value (F6, the i.e. difference of adjacent maximum wave peak value and minimum valley value in time window), maximum wave peak separation (F7, sampling number apart between the most adjacent very big crest)).
In one embodiment, the frequency domain character value of the first PPG data includes but not limited to following any one or the combination of more than two: basic frequency (F8), frequency domain dispersion degree (F9), and with the similarity (F10) of historical spectrum.
It will be appreciated by persons skilled in the art that the first PPG data can use multiple method to calculate temporal signatures value and frequency domain character value, such as: can obtain by seeking the methods such as variance, difference, average, translation.
Step 102, according to temporal signatures value, frequency domain character value and user's activity in preset time period of the first PPG data, determines the heart rate signal quality in preset time period.
In one embodiment, user's activity (F11) in preset time period can obtain according to the acceleration information that the acceleration transducer in wearable device detects.In one embodiment, acceleration transducer can gather acceleration information in preset time period, and determines user's activity in preset time period according to acceleration information.
In one embodiment, heart rate signal quality can be obtained by following Fig. 2 A embodiment, does not first describe in detail here.
Step 103, according to the heart rate signal quality in the temporal signatures value of the first PPG data, frequency domain character value, preset time period and the heart rate related data of previous preset time period, determines user's heart rate value in preset time period.
In one embodiment, heart rate related data includes heart rate value and heart rate signal quality.
In one embodiment, heart rate value can be obtained by following Fig. 3 embodiment, does not first describe in detail here.
In one embodiment, for the PPG data having motion artifacts collected, the heart rate value obtained by technical scheme is used can more to approach the result of heart rate band.Fig. 1 E is the schematic diagram of the another PPG data of the collection according to one example embodiment of the present invention, and transverse axis represents sampling time point, and the longitudinal axis represents the amplitude of PPG data；Fig. 1 F is the heart rate result schematic diagram obtained after the another PPG data shown in Fig. 1 E to gathering of the technical scheme according to one example embodiment of the present invention processes, the application combines frequency domain data and time domain data processes, avoid frequency-domain calculations result to the full extent to be affected by resolution and motion artifacts, the problem that can not accurately approach actual heart rate value, avoids the problem that time-domain calculation method can introduce error when there is the disappearance of part heart rate or impulse disturbances simultaneously.
In an exemplary scenario, as shown in Figure 1 G, illustrate illustrative as a example by wearable device is as Intelligent bracelet, in wearable device, photoemitter 110 and photelectric receiver 120 are positioned at close position, and it is positioned on wearable device the side close to user's skin, after the optical signal that photoemitter 110 sends is irradiated to user's skin, can return photosignal by the way of reflection and be received by photelectric receiver 120, wearable device can determine human heart rate to the PPG data that photelectric receiver 120 receives.Additionally, in order to obtain the heart rate signal that user is under rest state, also can built-in acceleration sensor 130 in wearable device, for determining the acceleration information of wearable device, and then determine the kinestate of user, and then the PPG data gathered when can get rid of kinestate by violent state, or it is that PPG data determines different signal qualitys according to kinestate, heart rate value to be modified according to signal quality when calculating heart rate value, improve the accuracy of heart rate detection.
Seen from the above description, the embodiment of the present invention can accurately determine the heart rate signal quality of user, temporal signatures value and frequency domain character value by above-mentioned steps 101-step 104, thus realize in the case of heart rate signal quality being taken into account, combine the temporal signatures value of PPG data and the heart rate value of frequency domain character value calculating user, the noise impact on PPG data can be effectively reduced, improve the accuracy that HRrest calculates；Additionally, the application can also use history heart rate related data to be modified Current heart rate value, and then can ensure that stability and the accuracy of heart rate value, improve the credibility to user's heart rate detection.
Fig. 2 A shows the schematic flow sheet how obtaining heart rate signal quality in accordance with a further exemplary embodiment of the present invention, and Fig. 2 B shows heart rate signal Mass Calculation mode schematic diagram in accordance with a further exemplary embodiment of the present invention；As shown in Figure 2 A, comprise the following steps:
Step 201, temporal signatures value is preset according to first in user's activity in preset time period, temporal signatures value, and first in frequency domain character value preset frequency domain character value and determine whether user is in the first active state, if user is in the first active state, then perform step 202, otherwise perform step 203.
In one embodiment, the first active state is used for representing that user is active.
In one embodiment, if the position that user wears wearable device there occurs strenuous exercise, wearable device can detect according to the acceleration information of acceleration transducer collection.
In another embodiment, if the wearable device of user simply has slight rocking in gathering data procedures, then acceleration transducer possibly cannot detect, then can combine first and preset temporal signatures value and first and preset frequency domain character value and determine whether user is active.
In one embodiment, first presets temporal signatures value includes following any one or the combination of more than two: peak valley concussion value (F6, the i.e. difference of adjacent maximum wave peak value and minimum valley value in preset time period) and maximum wave peak separation (F7, sampling number apart between the most adjacent very big crest).
In one embodiment, first preset frequency domain character value and include the similarity (F10) of historical spectrum.
In one embodiment, consideration F6, F7, F10, F11, F12 eigenvalue can be combined and determine whether user is in the first active state.Such as, according in the characteristic sequence that F6 obtains, if maximum peak valley concussion value (F6a) > 2* average peak valley concussion value (F6b), and according in the characteristic sequence that F7 obtains, maximum corrugation pitch (F7a) > 2* minimum corrugation pitch (F7b), then may determine that whether user is in the first active state.In another embodiment, if the similarity of PPG frequency spectrum (F10) is less than 0.4, and activity (F11) is more than the empirical value T1 set, then can also judge that user is in the first active state.The form using set is expressed as:
((F6a>2*F6b)^(F7a>2*F7b))ⅴ((F10<0.4)^(F11>T1))
So combine consideration F6, F7, F10, F11 feature, it is believed that user is in the first active state.
Step 202, determines that the heart rate signal quality of the first PPG data is the first preset quality.
In one embodiment, if user is in the first active state, then it represents that the heart rate signal of the first PPG data obtained is second-rate, then may be configured as the first preset quality, such as heart rate signal quality SQ:1 in Fig. 2 B.
Step 203, presets temporal signatures value according to second in temporal signatures value and determines whether the first PPG data is noise data, if noise data, then performs step 204, if not being noise data, then performs step 207.
In one embodiment, if user is not at the first active state, then can preset temporal signatures value according to second further and determine whether the first PPG data has disturbance.
In one embodiment, second preset temporal signatures value and include following any one or the combination of more than two: maximum (F2), the amplitude average (F3) of all sampled points, the peak-peak (F4) of heart rate volatility, average greatly crest value (F5).Wearable device can data be rule of thumb the certain weight (data that wherein, empirical data is added up when can use wearable device detection heart rate in minute section according to user obtain) of each eigenvalue distribution when determining whether the first PPG data has a disturbance according to features described above value.Such as, according to the characteristic sequence in feature (F2), if the maximum in maximum (F2a) > 2* maximum average (F2b), or peak-peak (F4) > 3* amplitude average (F3), or the ratio of average greatly crest value (F5) and the peak-peak (F4) in preset time period is less than empirical value (T2), uses the form of set to be expressed as:
(F2a>2*F2b)ⅴ(F3>1.5*F3)ⅴ(F5/F4<T2)
So it is believed that PPG signal is disturbed.
In one embodiment, each eigenvalue is associated, and therefore determines whether the first PPG data has disturbance also dependent on one of them eigenvalue.
Step 204, determines that the heart rate signal quality of the first PPG data is the second preset quality.
If the first PPG data has disturbance, then can determine that heart rate signal quality is the second preset quality, such as heart rate signal quality SQ:2 in Fig. 2 B.
Step 205, presets temporal signatures value according to the 3rd in temporal signatures value and determines the noise intensity of the first PPG data.
In one embodiment, noise data is for representing that the first PPG data is the signal data having disturbance.
In one embodiment, the 3rd presets temporal signatures value includes time domain waveform dispersion degree (F1), and the dispersion degree that can be determined by time domain waveform determines noise intensity, if dispersion degree is bigger, then explanation noise intensity is big, if dispersion degree is smaller, then explanation noise intensity is little.
Step 206, according to noise intensity, determines the signal quality that signal quality is the default progression in the second preset quality of the first PPG data.
In one embodiment, second preset quality can be divided into several grades according to the occurrence of the dispersion degree of the first PPG data by wearable device, such as according to dispersion degree strong, in, weak, it is divided into three ranks, or the power according to dispersion degree is divided into two ranks, or the occurrence according to dispersion degree is divided into the rank of more than three, the corresponding signal quality of each rank.
In Fig. 2 B, the second preset quality is divided into two ranks, such as heart rate signal quality SQ:2.1 and SQ:2.2.
Step 207, determines that the heart rate signal quality of the first PPG data is the 3rd preset quality.
In one embodiment, if the first PPG data is not noise data, then it represents that the first PPG data gathered is the data gathered under the rest state that user is totally stationary, the heart rate signal quality of the first PPG data can be defined as the 3rd preset quality.
Step 208, presets second in temporal signatures value and frequency domain character value according to the 4th in temporal signatures value and presets frequency domain character value and determine periodicity and the signal intensity of the first PPG data.
In one embodiment, the 4th preset temporal signatures value and include average greatly crest value (F5)；In another embodiment, second preset frequency domain character value and include basic frequency (F8) and/or frequency domain dispersion degree (F9).Such as, average greatly crest value (F5) is more than empirical value (T3), when basic frequency (F8) is more than empirical value (T4) with frequency domain dispersion degree (F9), uses the form of set to be expressed as:
(F5>T3)^(F9>T4)
The heart rate quality signal that may determine that PPG data is the 3rd preset quality SQ:3.
In one embodiment, when above-mentioned empirical value can use wearable device detection heart rate according to user in minute section, the data of statistics obtain.
Step 209, according to periodicity and signal intensity, determines the signal quality that signal quality is the default progression in the 3rd preset quality of the first PPG data.
In one embodiment, periodicity and the signal intensity of the first PPG data can be considered, the 3rd preset quality is divided into several grades.
In Fig. 2 B, the 3rd preset quality is divided into two ranks, such as heart rate signal quality SQ:3.1 and SQ:3.2.
It will be understood by those skilled in the art that, wearable device can according to the temporal signatures value of the first PPG data and frequency domain character value by the first PPG data be divided into different signal quality levels, the specific grade number of signal quality is not defined by the application, is not defined the grade classification which specific features value to carry out signal quality according to.
Seen from the above description, the embodiment of the present invention can consider the various features value of the first PPG data by above-mentioned steps and accurately determine the signal quality of the first PPG data, and then can improve the accuracy of subsequent calculations HRrest.
Fig. 3 shows the schematic flow sheet how calculating heart rate value in accordance with a further exemplary embodiment of the present invention, as it is shown on figure 3, comprise the following steps:
Step 301, according to the heart rate crest number in the temporal signatures value of the first PPG data, peak separation, determines time domain heart rate estimated value.
In one embodiment, according to the heart rate crest number in the temporal signatures value of the first PPG data, peak separation, determine time domain heart rate estimated value, including:
Time domain heart rate estimated value HeartRate is determined according to formula (1)t:
Wherein, PeakNumber is used for representing heart rate crest number, and PeakInterval is used for representing that peak separation, SampleRate are used for representing sample rate.
In one embodiment, PeakNumber, PeakInterval, SampleRate etc. are the data representing each second, and general heart rate refers to the heart rate of a minute, therefore by * 60 hearts rate calculating a minute in formula (1).
Step 302, according to the frequency spectrum in frequency domain character value, determines frequency domain heart rate estimated value.
In one embodiment, frequency domain heart rate estimated value HeartRate can be obtained by calculating dominant frequency point * 60f, in Fig. 1 D, dominant frequency point is 1.27, then frequency domain heart rate estimated value is 1.27*60=76.2, can round that to obtain frequency domain heart rate estimated value be 76.
Step 303, according to the heart rate signal quality in time domain heart rate estimated value, frequency domain heart rate estimated value, preset time period, and the heart rate signal quality of previous preset time period, determine the heart rate value in preset time period.
In one embodiment, according to the heart rate signal quality in time domain heart rate estimated value, frequency domain heart rate estimated value, preset time period, and the heart rate signal quality of previous preset time period, determine the heart rate value in preset time period, including:
Time domain heart rate estimated value is determined according to formula (2):
HeartRatecurrent=ω 1*HeartRateprevious+ω2*HeartRatet+ω3*HeartRatef
Formula (2)
Wherein, ω 1+ ω 2+ ω 3=1, ω 1 is for representing the weight of the heart rate value of previous preset time period, and ω 2 is for representing the weight of time domain heart rate estimated value, and ω 3 is for representing the weight of frequency domain heart rate estimated value.Subscript current represents the result calculating gained according to the PPG data gathered in preset time period, and subscript previous represents the result calculating gained according to the PPG data gathered in previous preset time period.
In one embodiment, ω 1 size specifically can determine according to the size of the heart rate signal quality of previous preset time period and the heart rate signal quality of current preset time cycle, such as, if the heart rate signal quality of previous preset time period is the second preset quality, the heart rate signal quality of current preset time cycle is also the second preset quality, then can arrange ω 1 is 0.5, and wherein the heart rate signal quality of current preset time cycle is the best, and ω 1 is the least.
In one embodiment, the value of ω 2 and ω 3 specifically can be arranged based on experience value, and temporal signatures value stabilization, then the value that can arrange ω 2 is larger, and during frequency domain character value stabilization, the value that can arrange ω 3 is larger.
In one embodiment, when calculating heart rate value for the first time, not having historical data can participate in calculating, wearable device can calculate heart rate value when current acquired heart rate signal mass ratio is preferable.
From above technical scheme, the application can accurately determine the heart rate signal quality of user, temporal signatures value and frequency domain character value, thus realize in the case of heart rate signal quality being taken into account, combine the temporal signatures value of PPG data and the heart rate value of frequency domain character value calculating user, the noise impact on PPG data can be effectively reduced, improve the accuracy that HRrest calculates；Additionally, the application can also use history heart rate related data to be modified Current heart rate value, and then can ensure that stability and the accuracy of heart rate value, improve the credibility to user's heart rate detection.
Fig. 4 shows the schematic flow sheet of the method for detection heart rate in accordance with a further exemplary embodiment of the present invention, as shown in Figure 4, comprises the following steps:
Step 401, gathers the second PPG data in preset time period.
According to the second PPG data, step 402, determines whether wearable device is in the state of wearing, if being in the state of wearing, then perform step 403, otherwise perform step 404.
Step 403, generates information, is used for reminding user that wearable device is in the state of wearing.
In one embodiment, information can be text prompt information；In another embodiment, information can be auditory tone cues information；In another embodiment, information can be vibration prompt information；In another embodiment, information can be optical signal information.
Step 404, carries out pretreatment to the second PPG data gathered in preset time period, obtains the first PPG data in preset time period.
Step 405, calculates temporal signatures value and the frequency domain character value of the first PPG data.
Step 406, according to temporal signatures value, frequency domain character value and user's activity in preset time period of the first PPG data, determines the heart rate signal quality in preset time period.
Step 407, heart rate signal quality in temporal signatures value according to the first PPG data, frequency domain character value, preset time period and the heart rate related data of previous preset time period, determine user's heart rate value in preset time period, wherein, heart rate related data includes heart rate value and heart rate signal quality, performs step 408 and step 409.
Step 404 to the associated description of step 407 can be found in the step 101 detailed description to step 104 of Figure 1A embodiment, repeats no more here.
Step 408, releases heart rate value and heart rate signal quality on wearable device.
In one embodiment, wearable device can show heart rate value and heart rate signal quality, determines the health states of self for user.
In another embodiment, wearable device can play heart rate value and heart rate signal quality, determines the health states of self for user.
Step 409, is sent to main process equipment by heart rate value and heart rate signal quality by the way of radio communication, determines the health states of user for main process equipment according to heart rate value.
From above technical scheme, the present embodiment is on the basis of the beneficial effect of above-described embodiment, also have the effect that and be determined by whether wearable device is in the state of wearing and reminds when wearable device is in and does not dresses state user correctly to wear wearable device, can avoid gathering invalid PPG data, and then effectively reduce the power consumption of wearable device process noise data.
Corresponding to the method for above-mentioned detection heart rate, the application also proposed the schematic configuration diagram of the wearable device of the exemplary embodiment according to the application shown in Fig. 5.Refer to Fig. 5, at hardware view, this wearable device includes processor, internal bus, network interface, internal memory and nonvolatile memory, is certainly also possible that the hardware required for other business.Processor reads the computer program of correspondence from nonvolatile memory and then runs computer program in internal memory, forms the device of detection heart rate on logic level.Certainly, in addition to software realization mode, the application is not precluded from mode of other implementations, such as logical device or software and hardware combining etc., the executive agent of following handling process is not limited to each logical block, it is also possible to be hardware or logical device.
Fig. 6 shows the structural representation of the device of the detection heart rate according to one example embodiment of the present invention；As shown in Figure 6, the device of this detection heart rate may include that computing module 61, quality determination module 62, heart rate determine module 63.Wherein:
Computing module 61, the temporal signatures value of the first photoplethaysmography PPG data obtained in calculating preset time period and frequency domain character value；
Quality determination module 62, for temporal signatures value, frequency domain character value and user's activity in preset time period according to calculated first PPG data of computing module 61, determines the heart rate signal quality in preset time period；
Heart rate determines module 63, heart rate signal quality in the preset time period that the temporal signatures value according to calculated first PPG data of computing module 61, frequency domain character value, quality determination module 62 determine and the heart rate related data of previous preset time period, determine user's heart rate value in preset time period, wherein, heart rate related data includes heart rate value and heart rate signal quality.
Fig. 7 shows the structural representation of the device of detection heart rate in accordance with a further exemplary embodiment of the present invention；As it is shown in fig. 7, on the basis of above-mentioned embodiment illustrated in fig. 6, in one embodiment, device also includes:
Acceleration acquisition module 64, for gathering acceleration information in preset time period；
Activity determines module 65, for determining user's activity in preset time period according to the acceleration information of acceleration acquisition module collection.
In one embodiment, quality determination module 62 includes:
First determines unit 621, for presetting temporal signatures value according to first in user's activity in preset time period, computing module calculated temporal signatures value, and first in computing module calculated frequency domain character value preset frequency domain character value and determine whether user is in the first active state, wherein, the first active state is for representing that user occurs the state of aggravating activities；
Second determines unit 622, if determining that unit 621 determines that user is in the first active state for first, determines that the heart rate signal quality of the first PPG data is the first preset quality；
3rd determines unit 623, if determining that unit 621 determines that user is not at the first active state for first, then presets temporal signatures value according to second in temporal signatures value and determines whether the first PPG data is noise data；
4th determines unit 624, if determining that unit 623 determines that the first PPG data is noise data for the 3rd, it is determined that the heart rate signal quality of the first PPG data is the second preset quality；
5th determines unit 625, if determining that unit 623 determines that the first PPG data is not noise data for the 3rd, it is determined that the heart rate signal quality of the first PPG data is the 3rd preset quality.
In one embodiment, quality determination module 62 also includes:
6th determines unit 626, if determining that unit determines that 623 first PPG data are noise data for the 3rd, then presetting temporal signatures value according to the 3rd in temporal signatures value and determine the noise intensity of the first PPG data, wherein noise data is for representing that the first PPG data is the signal data having disturbance；
7th determines unit 627, for determining, according to the 6th, the noise intensity that unit 626 determines, determines the signal quality that signal quality is the default progression in the second preset quality of the first PPG data.
In one embodiment, quality determination module 62 also includes:
8th determines unit 628, if determining that unit 623 determines that the first PPG data for noise data, is then preset second in temporal signatures value and frequency domain character value according to the 4th in temporal signatures value and preset frequency domain character value and determine periodicity and the signal intensity of the first PPG data for the 3rd；
9th determines unit 629, for determining, according to the 8th, the periodicity and signal intensity that unit 628 determines, determines the signal quality that signal quality is the default progression in the 3rd preset quality of the first PPG data.
Fig. 8 shows the structural representation of the device of detection heart rate in accordance with an alternative illustrative embodiment of the present invention；As shown in Figure 8, on the basis of above-mentioned Fig. 6 and/or embodiment illustrated in fig. 7, in one embodiment, heart rate determines that module 63 includes:
Time domain heart rate determines unit 631, for according to the heart rate crest number in the temporal signatures value of the first PPG data, peak separation, determines time domain heart rate estimated value；
Frequency domain heart rate determines unit 632, for according to the frequency spectrum in frequency domain character value, determines frequency domain heart rate estimated value；
Heart rate determines unit 633, heart rate signal quality in determine frequency domain heart rate estimated value that time domain heart rate estimated value that unit determines, frequency domain heart rate determine that unit determines, preset time period according to time domain heart rate, and the heart rate signal quality of previous preset time period, determine the heart rate value in preset time period.
In one embodiment, time domain heart rate determines unit 631, for determining time domain heart rate estimated value according to formula (1):
Wherein, PeakNumber is used for representing heart rate crest number, and PeakInterval is used for representing that peak separation, SampleRate are used for representing sample rate.
In one embodiment, heart rate determines unit 633, for determining the heart rate value in preset time period according to formula (2):
HeartRatecurrent=ω 1*HeartRateprevious+ω2*HeartRatet+ω3*HeartRatef
Formula (2)
Wherein, ω 1+ ω 2+ ω 3=1, ω 1 is for representing the weight of the heart rate value of previous preset time period, and ω 2 is for representing the weight of time domain heart rate estimated value, and ω 3 is for representing the weight of frequency domain heart rate estimated value.
In one embodiment, device also includes:
Sending module 66, for heart rate value and heart rate signal quality being sent to main process equipment by the way of radio communication, determines the health states of user for main process equipment according to heart rate value and heart rate signal quality.
In one embodiment, device also includes:
Processing module 67, for the second PPG data gathered in described preset time period is carried out pretreatment, obtains the first PPG data in described preset time period.
In one embodiment, device also includes:
According to the second PPG data, state determining module 68, for determining whether wearable device is in the state of wearing；
Generation module 69, if determining that wearable device is in the state of wearing for state determining module 68, then generates information, is used for reminding user that wearable device is in the state of wearing.
As seen from the above-described embodiment, the application can accurately determine the heart rate signal quality of user, temporal signatures value and frequency domain character value, thus realize in the case of heart rate signal quality being taken into account, combine the temporal signatures value of PPG data and the heart rate value of frequency domain character value calculating user, the noise impact on PPG data can be effectively reduced, improve the accuracy that HRrest calculates；Additionally, the application can also use history heart rate related data to be modified Current heart rate value, and then can ensure that stability and the accuracy of heart rate value, improve the credibility to user's heart rate detection.
Those skilled in the art, after considering description and putting into practice invention disclosed herein, will readily occur to other embodiment of the application.The application is intended to any modification, purposes or the adaptations of the application, and these modification, purposes or adaptations are followed the general principle of the application and include the undocumented common knowledge in the art of the application or conventional techniques means.Description and embodiments is considered only as exemplary, and the true scope of the application and spirit are pointed out by claim below.
It can further be stated that, term " includes ", " comprising " or its any other variant are intended to comprising of nonexcludability, so that include that the process of a series of key element, method, commodity or equipment not only include those key elements, but also include other key elements being not expressly set out, or also include the key element intrinsic for this process, method, commodity or equipment.In the case of there is no more restriction, statement " including ... " key element limited, it is not excluded that there is also other identical element in including the process of described key element, method, commodity or equipment.
The foregoing is only the preferred embodiment of the application, not in order to limit the application, all within spirit herein and principle, any modification, equivalent substitution and improvement etc. done, should be included within the scope of the application protection.
Claims (23)
1. the method detecting heart rate, it is characterised in that apply on wearable device, described method includes:
The temporal signatures value of the first photoplethaysmography PPG data obtained in calculating preset time period and frequency domain character value；
Temporal signatures value according to described first PPG data, described frequency domain character value and described user activity in described preset time period, determine the heart rate signal quality in described preset time period；
Heart rate signal quality in temporal signatures value according to described first PPG data, described frequency domain character value, described preset time period and the heart rate related data of previous preset time period, determine described user heart rate value in described preset time period, wherein, described heart rate related data includes heart rate value and heart rate signal quality.
Method the most according to claim 1, it is characterised in that described method also includes:
Acceleration information is gathered in described preset time period；
Described user activity in preset time period is determined according to described acceleration information.
Method the most according to claim 1, it is characterized in that, the described temporal signatures value according to described first PPG data, described frequency domain character value and described user activity in described preset time period, determine the heart rate signal quality in described preset time period, including:
Temporal signatures value is preset according to first in described user activity in described preset time period, described temporal signatures value, and first in described frequency domain character value preset frequency domain character value and determine whether described user is in the first active state, wherein, described first active state is used for representing that described user is active；
If described user is in described first active state, determine that the heart rate signal quality of described first PPG data is the first preset quality；
If described user is not at described first active state, then presets temporal signatures value according to second in temporal signatures value and determine whether described first PPG data is noise data；
If described first PPG data is noise data, it is determined that the heart rate signal quality of described first PPG data is the second preset quality；
If described first PPG data is not described noise data, it is determined that the heart rate signal quality of described first PPG data is the 3rd preset quality.
Method the most according to claim 3, it is characterised in that described method also includes:
If described first PPG data is described noise data, then presetting temporal signatures value according to the 3rd in described temporal signatures value and determine the noise intensity of described first PPG data, wherein said noise data is for representing that described first PPG data is the signal data having disturbance；
According to described noise intensity, determine the signal quality that signal quality is the default progression in described second preset quality of described first PPG data.
Method the most according to claim 3, it is characterised in that described method also includes:
If described first PPG data is not described noise data, then presets second in temporal signatures value and described frequency domain character value according to the 4th in described temporal signatures value and preset frequency domain character value and determine periodicity and the signal intensity of described first PPG data；
According to described periodicity and signal intensity, determine the signal quality that signal quality is the default progression in described 3rd preset quality of described first PPG data.
Method the most according to claim 1, it is characterized in that, heart rate signal quality in the described temporal signatures value according to described first PPG data, described frequency domain character value, described preset time period and the heart rate related data of previous preset time period, determine described user heart rate value in described preset time period, including:
Heart rate crest number in temporal signatures value according to described first PPG data, peak separation, determine time domain heart rate estimated value；
According to the frequency spectrum in described frequency domain character value, determine described frequency domain heart rate estimated value；
According to the heart rate signal quality in described time domain heart rate estimated value, described frequency domain heart rate estimated value, described preset time period, and the heart rate signal quality of described previous preset time period, determine the heart rate value in described preset time period.
Method the most according to claim 6, it is characterised in that described determine time domain heart rate estimated value according to the heart rate crest number in the temporal signatures value of described first PPG data, peak separation, including:
Described time domain heart rate estimated value is determined according to formula (1):
Wherein, PeakNumber is used for representing heart rate crest number, and PeakInterval is used for representing that peak separation, SampleRate are used for representing sample rate.
Method the most according to claim 6, it is characterized in that, described according to the heart rate signal quality in described time domain heart rate estimated value, described frequency domain heart rate estimated value, described preset time period, and the heart rate signal quality of described previous preset time period, determine the heart rate value in described preset time period, including:
The heart rate value in described preset time period is determined according to formula (2):
HeartRatecurrent=ω 1*HeartRateprevious+ω2*HeartRatet+ω3*HeartRatef
Formula (2)
Wherein, ω 1+ ω 2+ ω 3=1, ω 1 is for representing the weight of the heart rate value of described previous preset time period, and ω 2 is for representing the weight of described time domain heart rate estimated value, and ω 3 is for representing the weight of described frequency domain heart rate estimated value.
Method the most according to claim 1, it is characterised in that described method also includes:
By the way of radio communication, described heart rate value and heart rate signal quality are sent to main process equipment, determine the health states of described user for described main process equipment according to described heart rate value and heart rate signal quality.
Method the most according to claim 1, it is characterised in that described method also includes:
The second PPG data gathered in described preset time period is carried out pretreatment, obtains the first PPG data in described preset time period.
11. methods according to claim 10, it is characterised in that described method also includes:
Determine whether described wearable device is in the state of wearing according to described second PPG data；
If described wearable device is in the state of wearing, then generate information, be used for reminding wearable device described in described user to be in the state of wearing.
12. 1 kinds of devices detecting heart rate, it is characterised in that apply described device on wearable device to include:
Computing module, the temporal signatures value of the first photoplethaysmography PPG data obtained in calculating preset time period and frequency domain character value；
Quality determination module, for the temporal signatures value according to calculated described first PPG data of described computing module, described frequency domain character value and described user activity in described preset time period, determine the heart rate signal quality in described preset time period；
Heart rate determines module, heart rate signal quality in the described preset time period that the temporal signatures value of described first PPG data calculated according to described computing module, described frequency domain character value, described quality determination module determine and the heart rate related data of previous preset time period, determine described user heart rate value in described preset time period, wherein, described heart rate related data includes heart rate value and heart rate signal quality.
13. devices according to claim 12, it is characterised in that described device also includes:
Acceleration acquisition module, for gathering acceleration information in described preset time period；
Activity determines module, for determining described user activity in preset time period according to the described acceleration information of described acceleration acquisition module collection.
14. devices according to claim 12, it is characterised in that described quality determination module includes:
First determines unit, for presetting temporal signatures value according to first in described user activity in described preset time period, the calculated described temporal signatures value of described computing module, and first in the described calculated described frequency domain character value of computing module preset frequency domain character value and determine whether described user is in the first active state, wherein, described first active state is for representing that described user occurs the state of aggravating activities；
Second determines unit, if determining that unit determines that described user is in described first active state for described first, determines that the heart rate signal quality of described first PPG data is the first preset quality；
3rd determines unit, if determining that unit determines that described user is not at described first active state for described first, then presets temporal signatures value according to second in temporal signatures value and determines whether described first PPG data is noise data；
4th determines unit, if determining that unit determines that described first PPG data is noise data for the described 3rd, it is determined that the heart rate signal quality of described first PPG data is the second preset quality；
5th determines unit, if determining that unit determines that the first PPG data is not described noise data for the described 3rd, it is determined that the heart rate signal quality of described first PPG data is the 3rd preset quality.
15. devices according to claim 14, it is characterised in that described quality determination module also includes:
6th determines unit, if determining that unit determines that described first PPG data is described noise data for the described 3rd, then presetting temporal signatures value according to the 3rd in described temporal signatures value and determine the noise intensity of described first PPG data, wherein said noise data is for representing that described first PPG data is the signal data having disturbance；
7th determines unit, for determining, according to the described 6th, the described noise intensity that unit determines, determines the signal quality that signal quality is the default progression in described second preset quality of described first PPG data.
16. devices according to claim 14, it is characterised in that described quality determination module also includes:
8th determines unit, if determining that unit determines that described first PPG data for described noise data, is then preset second in temporal signatures value and described frequency domain character value according to the 4th in described temporal signatures value and preset frequency domain character value and determine periodicity and the signal intensity of described first PPG data for the described 3rd；
9th determines unit, for determining, according to the described 8th, the described periodicity and signal intensity that unit determines, determines the signal quality that signal quality is the default progression in described 3rd preset quality of described first PPG data.
17. devices according to claim 12, it is characterised in that described heart rate determines that module includes:
Time domain heart rate determines unit, for according to the heart rate crest number in the temporal signatures value of described first PPG data, peak separation, determines time domain heart rate estimated value；
Frequency domain heart rate determines unit, for according to the frequency spectrum in described frequency domain character value, determines described frequency domain heart rate estimated value；
Heart rate determines unit, heart rate signal quality in determine the described frequency domain heart rate estimated value that the described time domain heart rate estimated value that unit determines, described frequency domain heart rate determine that unit determines, described preset time period according to described time domain heart rate, and the heart rate signal quality of described previous preset time period, determine the heart rate value in described preset time period.
18. devices according to claim 17, it is characterised in that described time domain heart rate determines unit, for determining described time domain heart rate estimated value according to formula (1):
Wherein, PeakNumber is used for representing heart rate crest number, and PeakInterval is used for representing that peak separation, SampleRate are used for representing sample rate.
19. devices according to claim 17, it is characterised in that described heart rate determines unit, for determining the heart rate value in described preset time period according to formula (2):
HeartRatecurrent=ω 1*HeartRateprevious+ω2*HeartRatet+ω3*HeartRatef
Formula (2)
Wherein, ω 1+ ω 2+ ω 3=1, ω 1 is for representing the weight of the heart rate value of described previous preset time period, and ω 2 is for representing the weight of described time domain heart rate estimated value, and ω 3 is for representing the weight of described frequency domain heart rate estimated value.
20. devices according to claim 12, it is characterised in that described device also includes:
Sending module, for described heart rate value and heart rate signal quality being sent to main process equipment by the way of radio communication, determines the health states of described user for described main process equipment according to described heart rate value and described heart rate signal quality.
21. devices according to claim 12, it is characterised in that described device also includes:
Processing module, for the second PPG data gathered in described preset time period is carried out pretreatment, obtains the first PPG data in described preset time period.
22. devices according to claim 21, it is characterised in that described device also includes:
According to described second PPG data, state determining module, for determining whether described wearable device is in the state of wearing；
Generation module, if determining that described wearable device is in the state of wearing for described state determining module, then generates information, is used for reminding wearable device described in described user to be in the state of wearing.
23. 1 kinds of wearable devices, it is characterised in that described wearable device includes:
Processor；
For storing the memorizer of described processor executable；
Wherein, described processor, the method being configured to perform the arbitrary described detection heart rate of the claims 1-11.
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