CN104490374A - Judgment system and method for heart status of driver - Google Patents
Judgment system and method for heart status of driver Download PDFInfo
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- CN104490374A CN104490374A CN201410750577.4A CN201410750577A CN104490374A CN 104490374 A CN104490374 A CN 104490374A CN 201410750577 A CN201410750577 A CN 201410750577A CN 104490374 A CN104490374 A CN 104490374A
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- 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
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
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Abstract
The invention discloses a judgment system and method for a heart status of a driver. The judgment system and the judgment method can be used for judging whether a driver of a vehicle has a sudden heart disease and the critical degree thereof. The judgment method comprises the following steps: firstly, continuously acquiring the physiological signals, such as the respiratory rate, the heart rhythm and the blood pressure of the driver, and transmitting the physiological signals to a monitoring system; respectively training the physiological signals by an artificial neutral network technology through using a processor in the monitoring system to establish a plurality of personalized models exclusive to the driver, wherein each personalized model has a threshold value; then judging whether one physiological signal in recently acquired physiological signals exceeds the corresponding threshold, and if at least one physiological signal in the physiological signals exceeds the corresponding threshold, judging the status criticality of the driver and giving an alarm by the monitoring system according to the category quantity of the physiological signals exceeding the threshold values.
Description
Technical field
The present invention is the technology about a kind of automobile-used judgement driver condition, refers to a kind of judgement system and method for driver's heart state especially.
Background technology
Press, the reason that traffic accident occurs is not except observing traffic rules and regulations, as hypervelocity, outside reverse, mainly can be divided into absent minded and sudden illness, absent minded possible cause is fatigue driving, divert one's attention to make a phone call or chat etc., these factors all can mode be avoided artificially, but sudden illness is unpredictable, such as heart disease is sent out, stupor, sudden death etc., if driving anergy, no matter be that unexpected urgency is parked in the middle of road or not decontroling throttle makes vehicle move on, it is all the driving behavior of quite dangerous, if unconsciously throttle is floored after even driving stupor, more may there is serious overtaking collision.
It can thus be appreciated that, sudden illness cannot be avoided, how that takes measures instantly at generation sudden illness in good time, larger accident is avoided to be considerable, and first just need first to detect driver's whether sudden onset, wherein, the most critical with sudden heart disease again, and a lot of patient still has behavioral competence slightly in fact when heart disease is sent out, drive after heart disease sends out if detect, vehicle can self-actuating brake, flame-out, flashing light, even pulling over observing, even can send information to police office further simultaneously, medical institutions etc., then not only can avoid unexpected generation, more can keep the life of driver by high degree, therefore, judge whether sudden heart disease is primary anxious to driver.
Therefore, namely the present invention proposes a kind of judgement system and method for driver's heart state, and concrete framework and embodiment thereof will be specified in down:
Summary of the invention
Main purpose of the present invention is providing a kind of judgement system of driver's heart state, it utilizes multiple sensor to gather the physiological signals such as rhythm signal, blood pressure signal and respiratory frequency signal simultaneously, with the physiological status of perception driver, judge driver's whether sudden heart disease and criticality thereof.
Another object of the present invention is providing a kind of determination methods of driver's heart state, utilize neural network to train and set up the individualized models such as respiratory frequency model, blood pressure model and the rhythm of the heart model being specific to driver individual, reach customized physiological status interpretation, to increase the accuracy rate of prediction sudden heart disease, and when driver seeks medical advice these foundation continuous collecting physiological signals the individualized model set up out more can supply doctor's reference.
Another object of the present invention is providing a kind of determination methods of driver's heart state, when in the physiological signal collected, at least one exceeds threshold values, and judge that whether other two kinds of physiological signals are also abnormal, to judge that whether driver's health is critical, and whether need warning is provided or send doctor etc. by driver immediately.
In order to achieve the above object, the invention provides a kind of determination methods of driver's heart state, judge whether a driver of a vehicle has sudden heart disease, multiple physiological signals of first continuous collecting driver, and being sent to a monitoring system, physiological signal comprises a respiratory frequency signal, a rhythm signal and a blood pressure signal; A processor in monitoring system utilizes neural network technology physiological signal to be trained respectively the multiple individualized model set up out and be specific to driver, comprises respiratory frequency model, rhythm of the heart model and blood pressure model, and everyone changes model and has a threshold values; And monitoring system judges whether have any one physiological signal to exceed threshold values in the multiple physiological signals gathered, if physiological signal does not all exceed threshold values, then continuous collecting physiological signal, otherwise, if there is at least one to exceed threshold values in physiological signal, then monitoring system foundation exceeds the species number of the physiological signal of threshold values, judges the state degree of danger of driver, and sends warning.
Wherein, the threshold values of this respiratory frequency signal is the twice that frequency of respiration per minute is greater than meansigma methods;
Wherein, the threshold values of this rhythm signal is that beats per minute is greater than 150 times;
Wherein, the threshold values of this blood pressure signal is that systolic pressure is less than 90mmHg;
Wherein, before this individualized model not yet trains, threshold values is default initial value.
The present invention separately provides a kind of judgement system of driver's heart state, comprises multiple sensor, multiple physiological signals of this driver of continuous collecting, and physiological signal comprises a respiratory frequency signal, a rhythm signal and a blood pressure signal; And a monitoring system, comprise a processor and an internal memory, processor trains according to physiological signal the multiple individualized model that comprises a respiratory frequency model, a rhythm of the heart model and a blood pressure model respectively and is stored in internal memory, and go out physiological signal according to respiratory frequency model, rhythm of the heart model and blood pressure model specification and divide other threshold values, processor has judged whether that any one physiological signal exceeds threshold values, if there is at least one physiological signal to exceed threshold values, then foundation exceeds the species number of the physiological signal of threshold values, judge the state degree of danger of driver, and send warning.
Wherein, when the species number exceeding the physiological signal of threshold values is 1, the state degree of danger of this driver is low, when the species number exceeding the physiological signal of threshold values is 2, during the state degree of danger of this driver is, when the species number exceeding the physiological signal of threshold values is 3, the state degree of danger of this driver is high;
Wherein, the threshold values of this respiratory frequency signal is the twice that frequency of respiration per minute is greater than meansigma methods;
Wherein, the threshold values of this rhythm signal is that beats per minute is greater than 150 times;
Wherein, the threshold values of this blood pressure signal is that systolic pressure is less than 90mmHg.
Under illustrate in detail by specific embodiment, when the effect being easier to understand object of the present invention, technology contents, feature and reach.
Accompanying drawing explanation
Fig. 1 is the block chart of the judgement system of driver's heart state of the present invention;
Fig. 2 is the flow chart of the determination methods of driver's heart state of the present invention.
Description of reference numerals: the judgement system of 10-driver heart state; 12-sensor; 122-respiratory frequen; 124-rhythm of the heart sensor; 126-pressure transducer; 14-monitoring system; 142-processor; 144-internal memory; 150-individualizes model; 152-respiratory frequency model; 154-rhythm of the heart model; 156-blood pressure model.
Detailed description of the invention
The invention provides a kind of judgement system and method for driver's heart state, please refer to Fig. 1, it is the block chart of the judgement system 10 of driver's heart state in the present invention, the judgement system 10 of this driver's heart state can in be built in the micro computer of vehicle itself, or an independently main frame, comprise multiple sensor 12 and a monitoring system 14, sensor 12 comprises a respiratory frequen 122, one rhythm of the heart sensor 124 and a pressure transducer 126, wherein rhythm of the heart sensor 124 can be and SMDly pastes at driver chest place, or be installed on seat belt, when driver fastens one's safety belt, rhythm of the heart sensor 124 is close to the signal that driver's chest just can gather heart beating, respiratory frequen 122 and rhythm of the heart sensor 124 can be same paster or different paster, gather the breath signal of driver, the position that pressure transducer 126 then can establish driver's hands on the steering wheel to grip, gather the blood pressure signal of driver to be optically, such as light is radiated on finger, the spectrum analyzing reflected light judges blood pressure signal, three sensors 122, 124 and the 126 respiratory frequency signals gathering driver respectively, the physiological signal such as rhythm signal and blood pressure signal, monitoring system 14 comprises processor 142 and an internal memory 144, processor 142 trains according to physiological signal the multiple individualized model 150 that comprises respiratory frequency model 152, rhythm of the heart model 154 and a blood pressure model 156 respectively and is stored in internal memory 144, and sets out three kinds of physiological signals according to respiratory frequency model 152, rhythm of the heart model 154 and blood pressure model 156 and divide other threshold values, processor 142 is except training individualized model 150, also can in order to have judged whether that any one physiological signal exceeds threshold values, if there is at least one to exceed threshold values in physiological signal, then foundation exceeds the species number of the physiological signal of threshold values, judge the state degree of danger of driver, and send warning.
In the present invention, the flow chart of the determination methods of driver's heart state as shown in Figure 2, first at least one sensor is utilized in step slo to gather multiple physiological signals of driver respectively, and be sent to a monitoring system, the physiological signal gathered comprises a respiratory frequency signal, a rhythm signal and a blood pressure signal, these physiological signals of sensor continuous collecting,, and show collection result at set intervals once, as every 5 minutes; Processor in step S12 in monitoring system utilizes neural network technology physiological signal to be trained respectively the multiple individualized model set up out and be specific to driver, comprise at least one respiratory frequency model, a rhythm of the heart model and a blood pressure model, everyone changes model and has a threshold values; After establishing the individualized model being specific to driver, for another example described in step S14, monitoring system judges whether have any one physiological signal to exceed threshold values in the multiple physiological signals gathered, if physiological signal does not all exceed threshold values, then get back to step S10 to continue to gather the physiological signals such as respiratory frequency signal, rhythm signal and blood pressure signal, anti-, if there is at least one to exceed threshold values in physiological signal, then as described in step S16, monitoring system foundation exceeds the species number of the physiological signal of threshold values, judge the state degree of danger of driver, and send warning.
Rhythm of the heart model is the electrocardiogram gathering driver, frequency-region signal is become from time-domain signal Fourier transform, the frequency of this signal is between 0 ~ 60 hertz, rhythm of the heart training pattern comprises beats per minute, 0-60 hertz frequency-region signal etc., and these signals are trained the rhythm of the heart model of personalized driver by recycling neural network technology; Respiratory frequency model is then go out with neural network technique drill according to information such as the frequency of breath signal, intensity and slopes; Blood pressure model is according to information such as diastolic pressure, systolic pressure and mean arterial pressures, goes out equally with neural network technique drill, and above-mentioned three models all can receive the physiological signal increase sample number newly entered, and constantly train, make model closer to driver itself.
The initial value of above-mentioned physiological signal threshold values can set one and meet popular physiology warning threshold values, the twice of the threshold values of such as respiratory frequency model to be frequency of respiration per minute be meansigma methods, if when respiratory frequency is less than the twice of meansigma methods, for normal value, export 0, if respiratory frequency is greater than the twice of meansigma methods, be abnormal, export 1; The threshold values of blood pressure model is systolic pressure is 90mmHg, if it is normal that systolic pressure is greater than 90mmHg, exports 0, if it is abnormal that systolic pressure is less than 90mmHg, exports 1; The threshold values of rhythm of the heart model is beats per minute 150 times, if it is for 150 times normal that heart beating per minute is less than, exporting 0, if heart beating per minute is greater than 150 times, is abnormal, exports 1.Therefore, time all normal, export as (0,0,0), have one abnormal time, export as (1,0,0), (0,1,0) or (0,0,1), degree of danger is low, have two abnormal time, export as (1,0,1), (0,1,1) or (1,1,0), in degree of danger, if three neither normal time, export as (1,1,1), degree of danger is high, as shown in following table one.
Table one
Set the popular gross data that these three kinds of threshold values are reference medical periodical, can initial value be set as, after training personalized physiological data through neural network, this initial value can be adjusted according to individualized state.Such as, after neural network training, the threshold values of driver A can be adjusted to that heart beating is per minute to be greater than 130 times and to be then judged as abnormal, and blood pressure is adjusted to and is less than 80mmHg and is then judged as abnormal, and respiratory frequency is adjusted to 1.5 times of exceeding at ordinary times and is then judged as abnormal.
For example, suppose that monitoring system detects in three kinds of physiological signals of input and has a threshold values exceeding individualized model, such as, when respiratory frequency is greater than the twice of meansigma methods, monitoring system can judge whether two other physiological signal (blood pressure and heart beating) is normal simultaneously, for the initial value preset as threshold values (when not yet training personalized physiological data), if blood pressure stabilization, temporarily without dangerous immediately, if unstable blood pressure rule judges heart beating simultaneously, if heart beating is per minute be less than 150 times, represent in three physiological signals only have two abnormal, nearby hospitals can be looked for nearby to go to a doctor, otherwise, if beats is per minute be also greater than 150 times, then driving may be that heart disease is sent out, belong to highly dangerous.Again such as, if detecting abnormal is heart beating, then judge that whether breath signal is normal, if breath signal is normal, temporarily without dangerous immediately simultaneously, if breath signal is also abnormal, then judge whether blood pressure signal is stablized simultaneously, if blood pressure stabilization, represent in three physiological signals only have two abnormal, can look for nearby nearby hospitals go to a doctor, otherwise, if unstable blood pressure is fixed, then representing driving may be that heart disease is sent out, and belongs to highly dangerous.When judging that driver's heart belongs to highly dangerous, system of the present invention more can link with Vehicular system, brakes immediately, flashing light or other state of emergency display modes, gets into an accident to continue to step on the gas under the state avoiding losing consciousness driver.
Due to may abnormal signal be caused under some situation, therefore by detecting three kinds of physiological signals, these situations can be got rid of, avoid erroneous judgement.Such as talk, laugh and may cause adnormal respiration, by emergent pedestrian or cat and dog scaring then can make palpitating speed, blood pressure rises.
Sudden illness may be judged by any one physiological signal such as blood pressure, heart beating, respiratory frequency is abnormal; if but it is abnormal usually to have two or more physiological signal when heart disease is sent out; and palmic rate is inevitable extremely; with breathing (respiratory frequency is abnormal) or blood pressure drops; therefore to judge whether driver is sudden heart disease, then must three kinds of physiological signal entirety judge simultaneously.
Because the respiratory frequency of different people, the rhythm of the heart and blood pressure are all not quite similar, therefore respiratory frequency model, rhythm of the heart model and the blood pressure model set up according to driver physiological signal also can differences to some extent, and great reference role when these individualized models can provide driver to seek medical advice.
In sum, the judgement system and method system of driver's heart state provided by the present invention is by gathering rhythm signal, blood pressure signal and respiratory frequency signal simultaneously, neural network is utilized to train the individualized model set up and be specific to driver, utilize the mode that three kinds of physiological signals gather simultaneously, judge respectively, except driver's whether heart abnormality can be judged, more can increase the accuracy rate of prediction sudden heart disease, when driver seeks medical advice, these individualized models more can supply doctor's reference.
The above, be only preferred embodiment of the present invention, is not used for limiting scope of the invention process.Therefore namely all equalizations of doing according to the feature described in the present patent application scope and spirit change or modify, and all should be included in claim of the present invention.
Claims (12)
1. a determination methods for driver's heart state, is characterized in that, comprises the following steps:
Multiple physiological signals of this driver of continuous collecting, and be sent to a monitoring system, the plurality of physiological signal comprises a respiratory frequency signal, a rhythm signal and a blood pressure signal;
A processor in this monitoring system utilizes neural network technology the plurality of physiological signal to be trained respectively the multiple individualized model set up out and be specific to this driver, comprise a respiratory frequency model, a rhythm of the heart model and a blood pressure model, each this individualized model has a threshold values; And
This monitoring system judges whether have any one physiological signal to exceed corresponding threshold values in the multiple physiological signals gathered, if there is at least one to exceed corresponding threshold values in the plurality of physiological signal, then this monitoring system foundation exceeds the species number of the physiological signal of threshold values, judge the heart state degree of danger of this driver, and send warning.
2. the determination methods of driver's heart state as claimed in claim 1, it is characterized in that, this monitoring system is installed on this vehicle, and this monitoring system more comprises an internal memory, records the plurality of physiological signal and the plurality of individualized model.
3. the determination methods of driver's heart state as claimed in claim 1, it is characterized in that, when the species number exceeding the physiological signal of threshold values is 1, the state degree of danger of this driver is low, when the species number exceeding the physiological signal of threshold values is 2, during the state degree of danger of this driver is, when the species number exceeding the physiological signal of threshold values is 3, the state degree of danger of this driver is high.
4. the determination methods of driver's heart state as claimed in claim 3, it is characterized in that, the threshold values of this respiratory frequency signal is the twice that frequency of respiration per minute is greater than meansigma methods.
5. the determination methods of driver's heart state as claimed in claim 3, it is characterized in that, the threshold values of this rhythm signal is that beats per minute is greater than 150 times.
6. the determination methods of driver's heart state as claimed in claim 3, it is characterized in that, the threshold values of this blood pressure signal is that systolic pressure is less than 90mmHg.
7. the determination methods of driver's heart state as claimed in claim 1, it is characterized in that, before this individualized model not yet trains, threshold values is default initial value.
8. a judgement system for driver's heart state, it judges whether a driver of a vehicle has sudden heart disease and criticality thereof, it is characterized in that, this judgement system comprises:
Multiple sensor, multiple physiological signals of this driver of continuous collecting, the plurality of physiological signal comprises a respiratory frequency signal, a rhythm signal and a blood pressure signal; And
One monitoring system, comprise a processor and an internal memory, this processor trains respectively according to the plurality of physiological signal and comprises a respiratory frequency model, the multiple individualized model of one rhythm of the heart model and a blood pressure model is also stored in this internal memory, and according to this respiratory frequency model, this rhythm of the heart model and this blood pressure model specification go out the plurality of physiological signal and divide other threshold values, this processor judges whether that any one physiological signal exceeds corresponding threshold values, if there is at least one to exceed corresponding threshold values in the plurality of physiological signal, then foundation exceeds the species number of the physiological signal of threshold values, judge the state degree of danger of this driver, and send warning.
9. the judgement system of driver's heart state as claimed in claim 8, it is characterized in that, when the species number exceeding the physiological signal of threshold values is 1, the state degree of danger of this driver is low, when the species number exceeding the physiological signal of threshold values is 2, during the state degree of danger of this driver is, when the species number exceeding the physiological signal of threshold values is 3, the state degree of danger of this driver is high.
10. the judgement system of driver's heart state as claimed in claim 9, it is characterized in that, the threshold values of this respiratory frequency signal is the twice that frequency of respiration per minute is greater than meansigma methods.
The judgement system of 11. driver's heart states as claimed in claim 9, is characterized in that, the threshold values of this rhythm signal is that beats per minute is greater than 150 times.
The judgement system of 12. driver's heart states as claimed in claim 9, is characterized in that, the threshold values of this blood pressure signal is that systolic pressure is less than 90mmHg.
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