CN114190912B - Method for reducing power consumption of PPG heart rate electronic detection device - Google Patents
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- 238000001514 detection method Methods 0.000 title claims abstract description 36
- 238000000034 method Methods 0.000 title claims abstract description 22
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- 230000004048 modification Effects 0.000 claims description 4
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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
- A61B5/02—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
- A61B5/02438—Detecting, measuring or recording pulse rate or heart rate with portable devices, e.g. worn by the patient
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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
- A61B5/681—Wristwatch-type devices
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
- G06F1/26—Power supply means, e.g. regulation thereof
- G06F1/32—Means for saving power
- G06F1/3203—Power management, i.e. event-based initiation of a power-saving mode
- G06F1/3234—Power saving characterised by the action undertaken
- G06F1/325—Power saving in peripheral device
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- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)
Abstract
The invention relates to the technical field of intelligent wearable equipment, in particular to a method for reducing power consumption of a PPG heart rate electronic detection device. The method is to reduce the power consumption by adjusting the sampling rate of the detection device without considering the reduction of the power consumption of the detection device in the sleep mode, and is characterized in that: signal sampling is carried out at a conventional adoption rate fs1, characteristic points are set according to a sampled waveform diagram, a characteristic point interval is set according to the characteristic points, and the adoption rate is reduced in a non-characteristic point interval so as to reduce the power consumption of the detection device. When the electronic detection device performs signal acquisition, the frequency of the acquisition is in a change state, the higher frequency is kept for signal acquisition only in a specific characteristic interval t2, and the lower frequency is used for signal acquisition in a non-characteristic interval t1, so that the frequency of signal acquisition in the whole detection period can be greatly reduced, and the power consumption is effectively reduced.
Description
Technical field:
the invention relates to the technical field of intelligent wearable equipment, in particular to a method for reducing power consumption of a PPG heart rate electronic detection device.
The background technology is as follows:
with the development of intelligent wearing equipment, equipment such as intelligent wrist-watch, intelligent bracelet, intelligent glasses obtain quick development. The intelligent wearable devices integrate a plurality of sensors, can be used for recording exercise, sleep and other related data in daily life of a user, and can also be used for detecting physical function information of the user, such as vital signs of pulse, heart rate and the like. In the existing intelligent wearable equipment, a PPG (photoplethysmography) mode is adopted for heart rate detection, and the working principle is as follows: the intelligent device emits light signals to the skin surface of the user through the LEDs, and light reflected back through skin tissue is received by the photosensitive sensor and converted into an electrical signal and finally into a digital signal. When the light irradiates the skin tissue and is emitted back, certain attenuation is generated, the signal is extracted, the PPG signal is analyzed (for example, after filtering treatment), and the heart rate of the human body can be calculated by calculating the number of wave peaks in unit time.
In general, in order to improve the detection accuracy, the intelligent device needs to ensure the accuracy of the sampled data, so that the adopted frequency needs to be ensured, and the waveform of the PPG signal can be accurately reflected. However, if the sampling frequency is too high, the power consumption of the intelligent device tends to increase, eventually resulting in a decrease in standby operation time of the intelligent device. Therefore, the power consumption is reduced without considering the modes of dormancy and the like, and meanwhile, the accuracy of the detected PPG parameters is guaranteed, and the existing optimal scheme basically balances the parameters in the aspects of ensuring the accuracy of the parameters and reducing the power consumption. Currently, there are three general schemes for ensuring parameter accuracy with low power consumption: one is to reduce the sampling rate as much as possible to achieve the reduction of power consumption under the condition of ensuring the accuracy of parameters; secondly, under the condition of ensuring low power consumption, setting a sampling rate, so that parameter accuracy is sacrificed; thirdly, a balance point is found between the sampling rate and the low power consumption, and the sampling rate is reduced as much as possible under the condition of ensuring the accuracy of the parameters so as to achieve the purpose of low power consumption, or the accuracy of the parameters is sacrificed to ensure the low power consumption. The first scheme has no way to ensure that the requirement of low power consumption is obtained; the second scheme has no way to ensure the accuracy of the parameters; third, it is difficult to find such an equilibrium point.
In order to solve the above problems, the present inventors have proposed the following technical solutions.
The invention comprises the following steps:
the invention aims to overcome the defects of the prior art and provide a method for reducing power consumption of a PPG heart rate electronic detection device
In order to solve the technical problems, the invention adopts the following technical scheme: a method for reducing power consumption of a PPG heart rate electronic detection device by adjusting a sampling rate of the detection device without considering reducing power consumption of the detection device in a sleep mode, comprising: signal sampling is carried out at a conventional adoption rate fs1, characteristic points are set according to a sampled waveform diagram, a characteristic point interval is set according to the characteristic points, and the adoption rate is reduced in a non-characteristic point interval so as to reduce the power consumption of the detection device.
Furthermore, in the above technical solution, the method includes first performing signal acquisition at a sampling rate fs1, and searching for a first set of feature point information [ X ] when signal quality meets a requirement i ,Y i ]The method comprises the steps of carrying out a first treatment on the surface of the Secondly, estimating the next group of characteristic point information [ X ] according to the waveform characteristics of the characteristic points i+1 ，Y i+1 ]And establishes a sampling frequency variable interval: t1= [ X ] i +Δs,X i+1 -Δs]And t2= [ X i+1 -Δt,X i+1 +Δt]Wherein t1 is a non-characteristic point interval, and t2 is a characteristic point interval; sampling rate modification mode in sampling frequency variable interval: the sampling rate of the t1 interval is fs2, and fs2<fs1, t2 interval sampling rate is fs3, and fs3>fs2。
Further, in the above technical solution, the method specifically includes the following steps: step S1: signal acquisition is carried out at a sampling rate fs1, and signal quality is monitored to judge whether the current signal quality meets the requirement, namely, the requirement of reducing power consumption and ensuring parameter accuracy is met by changing the sampling rate; step S2: the sampling rate is reduced in the non-characteristic point interval, namely, when the predicted interval is the non-characteristic point interval t1, the current sampling rate is reduced to fs2, so that the purpose of reducing power consumption is achieved, and fs2 meets fs2< fs1; step S3: the sampling rate is increased in the characteristic interval, namely, when the predicted interval is the characteristic point interval t2, the current sampling rate is set to fs3, and fs3 is more than fs2, so that the purposes of ensuring or improving the accuracy and the reliability of the characteristic parameter point position are achieved; step S4: when the searching of the characteristic points in the next characteristic information point interval fails, searching is carried out through a non-characteristic point interval, and reliable characteristic point information is comprehensively extracted and used for the reference of the next characteristic point information prediction; step S5: and after the next characteristic information point interval is predicted to find the characteristic points successfully, updating the next characteristic point information and updating the next characteristic point interval, and circulating in this way.
In the above technical solution, the feature points are located in a peak position area or a trough position area of the signal.
After the technical scheme is adopted, when the electronic detection device is used for signal acquisition, the acquired frequency is in a change state, the higher frequency is kept for signal acquisition only in a specific characteristic interval t2, and the lower frequency is used for signal acquisition in a non-characteristic interval t1, so that the signal acquisition frequency in the whole detection period can be greatly reduced, and the power consumption is effectively reduced.
Description of the drawings:
FIG. 1 is a flow chart of a process of the present invention;
FIG. 2 is a waveform diagram of a sampling frequency variation signal according to the present invention;
fig. 3 is a waveform diagram of predicting the next feature point and the feature point section in the present invention.
The specific embodiment is as follows:
the invention will be further described with reference to specific examples and figures.
The invention provides a method for reducing power consumption of a PPG heart rate electronic detection device aiming at the current intelligent equipment with PPG heart rate detection. According to the invention, on the premise of ensuring the precision of the sampled data, the power consumption of the detection device is reduced while the power consumption is reduced in a sleep mode or the like is not considered, so that the standby working time of the intelligent equipment is prolonged.
The design principle of the invention is as follows: based on PPG heart rate detection, the detected signal is a waveform signal, the wavelength of the waveform signal corresponds to the heart rate of the user, and whether the heart rate variation of the user is normal can be reflected by detecting the variation of the wavelength of the signal. As described in the background art, it is currently practiced to collect signals at a fixed frequency, and it is known that the larger the frequency, the greater the number of signals collected, and thus the more accurate the reflected waveform, so that the heart rate of the user can be accurately detected. However, in the conventional case, the heart rate of the user is kept approximately within a fixed frequency range, so that it is not necessary to perform intensive acquisition over the entire wavelength period when acquiring the signal, and as long as a characteristic point is set, it can be expressed as exactly one wavelength period when the characteristic point is detected again according to the waveform change rule. In order to accurately detect the next feature point, a feature point interval is set in the feature point, and the detection frequency can be increased in the feature point interval so as to effectively detect the feature point; in a non-characteristic point section other than the characteristic point section, the detection frequency can be reduced to reduce the detection power consumption.
In combination with the above, the method of the invention is summarized as follows:
firstly, signal acquisition is carried out at a sampling rate fs1, and when the signal quality meets the requirement, a first group of characteristic point information [ X ] is searched i ,Y i ]。
Secondly, estimating the next group of characteristic point information [ X ] according to the waveform characteristics of the characteristic points i+1 ，Y i+1 ]And establishes a sampling frequency variable interval: t1= [ X ] i +Δs,X i+1 -Δs]And t2= [ X i+1 -Δt,X i+1 +Δt]Wherein t1 is a non-characteristic point interval, and t2 is a characteristic point interval; sampling rate modification mode in sampling frequency variable interval: the sampling rate of the t1 interval is fs2, and fs2<fs1, t2 interval sampling rate is fs3, and fs3>fs2. The interval of the characteristic point interval t2 is generally shorter, but the interval of the non-characteristic point interval t1 is longer, so that the frequency of signal acquisition in the whole detection period can be greatly reduced, and the power consumption is effectively reduced.
Referring to fig. 1, this is a specific implementation procedure of the present invention:
step S1: and (3) signal acquisition is carried out at a sampling rate fs1, and the signal quality is monitored to judge whether the current signal quality meets the requirement, namely, the requirement of reducing the power consumption and ensuring the parameter accuracy is met by changing the sampling rate. The step S1 is mainly to monitor whether the real-time signal of the acquisition unit is reliable and effective or not, and ensure to find accurate and reliable characteristic point information so as to determine whether to perform sampling rate conversion at present to achieve the purposes of reducing power consumption and ensuring parameter accuracy. The quality of the current signal may be determined in a variety of ways, for example, by comparison with a signal template. That is, after the intelligent device is started, a signal template can be obtained by sampling for multiple times in advance, then, the signal acquired in real time subsequently is compared with the signal template, or similarity judgment is carried out, and if the judgment condition is met, the real-time signal is indicatedThe quality meets the requirements. When the quality of the collected real-time signals meets the requirement, the first group of characteristic point information [ X ] is searched i ,Y i ]And judging whether the information of the first group of feature points is accurate or not at the same time, and if so, starting to predict the occurrence position of the next group of feature points.
In predicting the next set of feature points [ X i+1 ，Y i+1 ]Since the heart rate of the human body is generally maintained in a fixed range, the position of the heart rate can be predicted by showing a sine wave in the waveform of the signal and keeping the wavelength in a range. Thus when the first group of characteristic point information [ X ] is known i ,Y i ]The next set of feature points [ X ] can be predicted i+1 ，Y i+1 ]Is a position of (c). Of course, in order to accurately acquire the next set of feature points [ X ] i+1 ，Y i+1 ]A range must be set, which is the characteristic point interval, and the next group of characteristic points [ X ] can be basically acquired as long as the frequency of data acquisition is increased in the interval i+1 ，Y i+1 ]Is a piece of information of (a). The operations of steps S2 and S3 are performed according to the subsequent sections.
Step S2: the non-characteristic point interval reduces the sampling rate, namely, when the predicted interval is the non-characteristic point interval t1, the current sampling rate is reduced to fs2, so that the purpose of reducing power consumption is achieved, and fs2 satisfies fs2< fs1.
Step S3: the sampling rate is increased in the characteristic interval, that is, when the predicted interval is the characteristic point interval t2, the current sampling rate is set to fs3, and fs3 is greater than fs2, so as to achieve the purpose of ensuring or improving the accuracy and reliability of the characteristic parameter point position.
As shown in fig. 2, this is a waveform diagram of the sampling frequency variation signal of the present invention, and the characteristic points are set at the positions of the peak points in the actual setting process. In fig. 2, the light color points correspond to the sampling signal points at the frequency fs1, and the dark color points are actually employed frequencies, and it can be seen that in the region where the peak of the characteristic point is located, the sampling frequency is significantly greater than the sampling frequency in other regions. This corresponds to what has been described above. That is, when the next set of feature point positions is predicted, the current sampling rate is set to fs3 in the set feature point section, and the sampling frequency is increased to ensure the accuracy of the feature point positions. In other non-characteristic point intervals, the sampling rate is reduced, namely, the current sampling rate is reduced to fs2, and the power consumption can be reduced because fs2 is smaller than fs1 and the range of the non-characteristic point intervals is larger.
To ensure that the next set of feature points can be found in the predicted next feature point interval, an error value should be set, or an interval range should be set, so long as the error or interval range is within, the next set of feature points is considered to be found. Of course, even if an error or a range of the interval is set, in the actual work, the failure of searching the feature point in the interval of predicting the next feature point information may occur due to the existence of the detection of the electronic detection device itself in the smart device or other reasons, and the process proceeds to step S4.
Step S4: and when the search of the characteristic points in the next characteristic information point interval is failed, searching is carried out through the non-characteristic point interval, and the other reliable characteristic point information is comprehensively extracted. I.e. extracting a new feature point information based on the most probable feature point information as a reference for predicting the next feature point information.
Step S5: and after the next characteristic information point interval is predicted to find the characteristic points successfully, updating the next characteristic point information and updating the next characteristic point interval, and circulating in this way.
In order to facilitate the acquisition and ensure the accuracy of the acquired signal information, the feature points are located in the peak position area or the trough position area of the signal. In the present embodiment, as shown in fig. 3, the feature points are located in the peak position area of the signal. And predicting the position of the next peak through the front peak position, and setting a section where the position of the next peak possibly appears according to the heart rate jump limit during prediction. If the current position Xp, the current heart rate is hr, and the current heart rate is converted into the point according to the sampling rate fss: sa=60×hr/fss, and limiting the number of points according to the heart rate jump size [ low, high ], so as to obtain the next feature point in the peak position interval, i.e. feature interval t2: [ xp+Sa-high, xp+Sa+high ].
In summary, when the electronic detection device performs signal acquisition, the frequency of the signal acquisition is in a change state, and only in a specific characteristic interval t2, the signal acquisition is performed at a higher frequency, and in a non-characteristic interval t1, the signal acquisition is performed at a lower frequency, so that the frequency of the signal acquisition in the whole detection period can be greatly reduced, and the power consumption is effectively reduced.
It is understood that the foregoing description is only illustrative of the present invention and is not intended to limit the scope of the invention, but rather is to be accorded the full scope of all such modifications and equivalent structures, features and principles as set forth herein.
Claims (3)
1. A method for reducing power consumption of a PPG heart rate electronic detection device by adjusting a sampling rate of the detection device without considering reducing power consumption of the detection device in a sleep mode, comprising: signal sampling is carried out at a conventional sampling rate fs1, characteristic points are set according to a sampled waveform diagram, a characteristic point interval is set according to the characteristic points, and the sampling rate is reduced in a non-characteristic point interval so as to reduce the power consumption of the detection device;
the method comprises collecting signal at sampling rate fs1, and searching for a first group of characteristic point information [ X ] when signal quality meets the requirement i ,Y i ]The method comprises the steps of carrying out a first treatment on the surface of the Secondly, estimating the next group of characteristic point information [ X ] according to the waveform characteristics of the characteristic points i+1 ，Y i+1 ]And establishes a sampling frequency variable interval: t1 and t2, wherein t1 is a non-feature point interval and t2 is a feature point interval; sampling rate modification mode in sampling frequency variable interval: the sampling rate of the t1 interval is fs2, and fs2<fs1, t2 interval sampling rate is fs3, and fs3>fs2；
The characteristic points are located in the peak position area of the signal, the position of the next peak is predicted through the position of the previous peak, a section where the position of the next peak possibly appears is set according to the jump limit of the heart rate during prediction, the current position Xp is set, the current heart rate is hr, and the current heart rate is converted into the point number according to the sampling rate fss: sa=60×hr/fss, and limiting the number of points according to the heart rate jump size [ low, high ], so as to obtain the next feature point in the peak position interval, i.e. feature interval t2: [ xp+Sa-high, xp+Sa+high ].
2. The method for reducing power consumption of a PPG heart rate electronic detection device according to claim 1, wherein: the method comprises the following steps:
step S1: signal acquisition is carried out at a sampling rate fs1, and the signal quality is monitored to judge whether the current signal quality meets the requirement, namely, the requirement of changing the sampling rate to reduce power consumption and ensure parameter accuracy is met, and when the acquired real-time signal quality meets the requirement, the first group of characteristic point information [ X ] is searched i ,Y i ]When the first group of characteristic point information [ X ] is known i ,Y i ]At this time, the next set of feature points [ X ] is predicted i+1 ，Y i+1 ]For accurate acquisition of the next set of feature points [ X ] i+1 ，Y i+1 ]Setting a range, namely the characteristic point interval, and performing the operations of the steps S2 and S3 according to the difference of the following intervals as long as the frequency of collecting data is increased in the interval;
step S2: the sampling rate is reduced in the non-characteristic point interval, namely, when the predicted interval is the non-characteristic point interval t1, the current sampling rate is reduced to fs2, so that the purpose of reducing power consumption is achieved, and fs2 meets fs2< fs1;
step S3: the sampling rate is increased in the characteristic interval, namely, when the predicted interval is the characteristic point interval t2, the current sampling rate is set to fs3, and fs3 is more than fs2, so that the purposes of ensuring or improving the accuracy and the reliability of the characteristic parameter point position are achieved;
step S4: when the searching of the characteristic points in the next characteristic information point interval fails, searching is carried out through a non-characteristic point interval, and reliable characteristic point information is comprehensively extracted and used for the reference of the next characteristic point information prediction;
step S5: and after the next characteristic information point interval is predicted to find the characteristic points successfully, updating the next characteristic point information and updating the next characteristic point interval, and circulating in this way.
3. A method for reducing power consumption of a PPG heart rate electronic detection device according to claim 1 or 2, characterized by: the characteristic points are located in the trough position area of the signal.
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| US9351688B2 (en) * | 2013-01-29 | 2016-05-31 | Covidien Lp | Low power monitoring systems and method |
| US9980655B2 (en) * | 2014-03-17 | 2018-05-29 | Koninklijke Philips N.V. | Heart rate monitor device |
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| CN104697591A (en) * | 2015-03-18 | 2015-06-10 | 安徽水联水务科技有限公司 | Lower power consumption ultrasonic water meter and control method thereof |
| CN106073764A (en) * | 2016-05-31 | 2016-11-09 | 深圳市理邦精密仪器股份有限公司 | Reduce the method and device of dynamic electrocardiogram (ECG) data recording equipment power consumption |
| CN113749626A (en) * | 2020-06-04 | 2021-12-07 | 安徽华米健康科技有限公司 | Heart rate detection method and device, wearable device and storage medium |
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