CN105997043B - A kind of pulse frequency extracting method based on wrist wearable device - Google Patents
A kind of pulse frequency extracting method based on wrist wearable device Download PDFInfo
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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
- A61B5/02444—Details of sensor
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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
- A61B5/02—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
- A61B5/0245—Detecting, measuring or recording pulse rate or heart rate by using sensing means generating electric signals, i.e. ECG signals
-
- 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
- A61B5/6813—Specially adapted to be attached to a specific body part
- A61B5/6824—Arm or wrist
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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
- A61B5/7207—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal of noise induced by motion artifacts
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
- A61B2562/02—Details of sensors specially adapted for in-vivo measurements
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
- A61B2562/02—Details of sensors specially adapted for in-vivo measurements
- A61B2562/0219—Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
Abstract
The invention discloses a kind of pulse frequency extracting methods based on wrist wearable device.By analyzing the acceleration information that acceleration transducer acquires, current motion state is classified first by the present invention.For different motion state, pulse frequency information is obtained using different algorithms.For the test under movement, also analyzing its movement, whether rule is respectively adopted different algorithms and obtains pulse frequency information for regular movement and irregular movement.This mode classification makes the acquisition of pulse frequency more accurate.Meanwhile it also solving the problems, such as there are noise signals can not obtain pulse frequency.
Description
Technical field
The present invention relates to wrist wearable device fields, and in particular to a kind of pulse frequency extraction based on wrist wearable device
Method.
Background technique
With the development of Low-power Technology and physiological compensation effects technology, wearable device is started in field of medical device
One revolution.In the various parameters of wearable device monitoring, pulse frequency is even more important.Because pulse frequency monitoring can not only prevent to transport
Dynamic Heart disease breaks out, and directive function can be provided in daily workout.In general, people are by being bundled in front
Pulse frequency band obtain ECG come realize pulse frequency monitor.This pulse frequency band needs to tie tight chest to obtain reliable signal, comfort compared with
Difference.
PPG (photoelectricity solvent pulse wave) signal is the physical quantity for characterizing blood volume variation in capillary.Along with the heart
Dirty beating, blood flow to capillary, change so as to cause blood volume in blood vessel.Therefore PPG is as a kind of physiology
Signal has same biological significance with ECG (electrocardio) signal.The ability of hemoglobin absorption green light is than inhaling in Human vascular
The ability for receiving other light is strong, according to this characteristic, can then detect the green of capillary reflection by emitting green light to epidermis
The variation of luminous intensity obtains PPG signal.The generation and detection of green light can be realized by photoelectric sensor.In the prior art
There is the PPG signal acquired by watch, substituted the method that the ECG signal of pulse frequency band acquisition extracts pulse frequency, this method is larger
Degree improves comfort.
But the noise that PPG signal is easy to be moved generation interferes, these noises are largely due to motion process
Caused by sliding of the middle sensor relative to skin, there is periodicity and frequency and pulse frequency are close.Therefore in motion state
Under from PPG signal extract pulse frequency it is extremely difficult.Common wrist equipment is difficult to realize pulse frequency under motion state accurate measurement.
Summary of the invention
In view of this, can moved the present invention provides a kind of pulse frequency extracting method based on wrist wearable device
Under state and non-athletic state, more accurately pulse frequency is obtained.
A kind of pulse frequency extracting method based on wrist wearable device, the wrist wearable device are mainly passed by acceleration
Sensor and photoelectric sensor are constituted；Extracting method specifically comprises the following steps：
Step 1: opening wrist wearable device, acceleration transducer and photoelectric sensor are respectively acquired work；To
After acceleration transducer acquires n acceleration value, n acceleration information of sampling is stored in array d；Execute step 2；
Step 2: the n acceleration value modulus that will be acquired in step 1, and be successively compared with threshold value q；If modulus value is big
When the number of threshold value q is more than setting value x, and x=n × 10%, then explanation is currently at motion state, executes step 4；If
When number of the modulus value greater than threshold value q is less than setting value x, then explanation is currently at stationary state, executes step 3；
Step 3: carrying out pulse frequency extraction using photoelectric sensor, photoplethysmographic PPG signal is obtained, by PPG
The interphase algorithm of adjacent R point obtains the pulse frequency under stationary state in signal；
Step 4: motion state is divided into rule movement and non-rule movement according to classification of motions algorithm, method is determined
It is as follows；
S41, maximum value a is selected from acceleration modulus valuemax
S42, the acceleration information in array d is normalized；
The maximum value p in array d after S43, selection normalizationmax；
S44, given threshold P, with pmaxOn the basis of be worth, in array d after normalization traverse a reference value on the left of other number
Value, obtain it is first be more than threshold value P numerical value, be defined as pb；Similarly, other numerical value on the right side of a reference value are traversed, are obtained first
More than the numerical value of threshold value P, it is defined as pc；After having traversed all numerical value, once there is side not get numerical value, then it is judged as
Non- rule motion state；Execute step 6；If pbAnd pcIt obtains, thens follow the steps S45；
S45, p is definedbWith pmaxThe distance between be L1, pmaxWith pcThe distance between be L2；If L1And L2It is equal, then illustrate
Regular movement is done, step 5 is executed；Otherwise, it is determined that executing step 6 for non-rule movement；
Step 5: PPG signal is acquired using photoelectric sensor for the pulse frequency extracting method under regular motion state, and
Extract pulse frequency；
Step 6: for the pulse frequency extracting method under non-regular motion state：
PPG signal is first acquired using photoelectric sensor, denoising is carried out to PPG signal using ANC algorithm later, is passed through
The interphase of adjacent P point in PPG signal is extracted, pulse frequency is obtained.
Beneficial effect：
The present invention is first by analyzing the acceleration information that acceleration transducer acquires, by current motion state
It is classified.For different motion state, pulse frequency information is obtained using different algorithms.For the test under movement, also divide
Having analysed its movement, whether rule is respectively adopted different algorithms and obtains pulse frequency letter for moving for rule and irregular movement
Breath.This mode classification makes the acquisition of pulse frequency more accurate.Meanwhile it also solving for there are noise signals can not obtain arteries and veins
The problem of rate.
Detailed description of the invention
Fig. 1 is schematic diagram of the present invention.
Fig. 2 is the extraction of stationary state heart rate.
Fig. 3 is classification of motions algorithm schematic diagram.
Fig. 4 is ANC algorithm principle figure.
Fig. 5 is frequency domain processing schematic.
Specific embodiment
The present invention will now be described in detail with reference to the accompanying drawings and examples.
The present invention provides a kind of pulse frequency extracting method based on wrist wearable device, main thought is：
Due under non-regular motion state, photoelectric sensor and acceleration transducer acquired image there are noise,
It cannot achieve the extraction to pulse frequency under non-regular motion state.So proposing a kind of new pulse frequency extraction the present invention is based on this
Method.Firstly, the data that the present invention first extracts acceleration transducer are analyzed, its motion state and the characteristics of motion are judged.
For signal collected under non-regular motion state, denoising is carried out, and then obtain an accurate pulse frequency value.
I.e.：The present invention, which is realized, obtains classification processing to the signal of photoelectric sensor and acceleration transducer extraction, and then can be for not
It with the signal under state, uses different processing methods (processing method is the prior art), and then obtains accurate pulse frequency.
Wherein, wrist wearable device of the invention is by acceleration sensor module, photoelectric sensor and processing module structure
At.
Specific embodiment is as follows, as shown in Figure 1：
Step 1: wrist wearable device is opened, at this point, acceleration transducer and photoelectric sensor will start to work.Light
Electric transducer acquires photoplethysmographic (PPG) signal of current person under test in real time, and acceleration sensor module is to acceleration
Signal is sampled, and acquires n times altogether, and n data of sampling are stored in array d.Execute step 2.In order to guarantee data
Accuracy, the present invention sets a time threshold, the timing since first time acquires the moment, once reach the time threshold
Value, then by the data dump in data d, re-start acquisition, array stores the acceleration information of newest a period of time always.
Step 2: being analyzed according to the acceleration signal acquired in step 1, current motion state is judged：
Firstly, setting one for judging the threshold value q of current motion state according to experimental data and experience before；
Later, it to n acceleration value modulus in array d, and is successively compared with threshold value q.If modulus value is greater than threshold value q
Number when being more than setting value x, x < n, and x=n × 10%, then explanation is currently at motion state, executes step 4；If mould
When number of the value greater than threshold value q is less than setting value x, then explanation is currently at stationary state, executes step 3.
Step 3: to the pulse frequency extracting method under remaining static：
Since PPG signal is the physical quantity for characterizing blood volume variation in capillary, along with heartthrob, blood
Capillary is flowed to, is changed so as to cause blood volume in blood vessel.So the waveform of PPG is such as ECG under static state
It is equally stable, as shown in Fig. 2, therefore being to the pulse frequency extracting method under remaining static：Pulse frequency is carried out using photoelectric sensor
It extracts, obtains PPG signal, extract adjacent R point in PPG signal, its repetition period T is calculated using RR interphase algorithmRR(RR interphase),
TRRInverse is current pulse frequency.This method is the prior art, then this is not repeated them here.
Step 4: motion state is divided into rule movement and non-rule according to classification of motions algorithm when being kept in motion
Rule movement.Its specific method of discrimination is as follows：
S41, maximum value a is selected from acceleration modulus valuemax
S42, according to formula (1), array d is normalized, new data p={ p is obtained1,p2,...,
pi,...,pn}；
S43, the maximum value p in data p, in selection data pmax；
S44, given threshold P, with pmaxOn the basis of be worth, successively other numerical value in ergodic data p on the left of a reference value obtain
First is more than the numerical value of threshold value P, is respectively defined as pb；Similarly, other numerical value in ergodic data p on the right side of a reference value obtain
First is more than the numerical value of threshold value P, is respectively defined as pc；After having traversed all numerical value, once there is side not get numerical value,
Then it is judged as non-regular motion state；Execute step 6；If pbAnd pcIt obtains, thens follow the steps S45；
S45, pass through pb、pmaxAnd pc, further judge current motion state：
Define pbWith pmaxThe distance between be L1, pmaxWith pcThe distance between be L2；As shown in figure 3, L1And L2Practical generation
Table pbWith pmax, pmaxWith pcBetween time difference.If L1And L2Equal, then explanation does regular movement, executes step 5.Otherwise,
It is determined as non-rule movement, executes step 6.
Step 5: for the pulse frequency extracting method under regular motion state：
Using existing conventional techniques, PPG signal is acquired using photoelectric sensor, the acceleration of the PPG signal of acquisition is believed
After number being handled as follows, pulse frequency just can be obtained.
Usually as shown in figure 5, power spectrum curve corresponding to acceleration signal usually will appear under regular motion conditions
Two wave crests, the two wave crests respectively correspond the fundamental wave and harmonic wave that rule movement generates, and the two wave crests also can equally occur
In the power spectrum curve of PPG signal, as long as therefore elimination acceleration signal power spectrum obtains from PPG power spectrum signal
To ideal PPG signal.Therefore：
The first step, acceleration signal and photoplethysmographic signal are done respectively Fast Fourier Transform (FFT) obtain it is respective
Frequency spectrum Facc,Fppg。
Second step, by FaccAnd FppgIt is converted into power spectrum XaccAnd Xppg, and corresponding maximum amplitude A is found out respectivelymaxWith
Bmax。
Third step, normalized, are obtainedWithLater, differentiation processing is carried out, amplitude in frequency spectrum is obtained
Maximum point.
Frequency corresponding to the point of amplitude maximum in frequency spectrum is exactly pulse frequency by the 4th step.
Since method is routine techniques, emphasis of the invention does not lie in this yet, and the present invention only does brief introduction.
Step 6: for the pulse frequency extracting method under non-regular motion state：
Since under non-regular motion state, photoelectric sensor can also collect noise other than collecting PPG signal
Interference signal, as shown in Figure 4.For this purpose, the present invention carries out denoising using ANC algorithm.Since ANC algorithm is existing conventional skill
Art means are not repeating excessively.The basic principle of ANC algorithm is：A noise interferences are generated by acceleration signal
Optimal estimation signal, noise estimation signal is filtered off from the signal that photoelectric sensor obtains can be obtained by ideal PPG.
After obtaining ideal PPG signal, by calculating PP interphase TPP, TPPInverse is current pulse frequency.This method is existing
There is technology, then this is not repeated them here.
In conclusion the above is merely preferred embodiments of the present invention, being not intended to limit the scope of the present invention.
All within the spirits and principles of the present invention, any modification, equivalent replacement, improvement and so on should be included in of the invention
Within protection scope.
Claims (1)
1. a kind of pulse frequency extracting method based on wrist wearable device, the wrist wearable device is mainly by acceleration sensing
Device and photoelectric sensor are constituted；It is characterized in that, extracting method specifically comprises the following steps：
Step 1: opening wrist wearable device, acceleration transducer and photoelectric sensor are respectively acquired work；Wait accelerate
After spending sensor n acceleration value of acquisition, n acceleration information of sampling is stored in array d；Execute step 2；
Step 2: the n acceleration value modulus that will be acquired in step 1, and be successively compared with threshold value q；If modulus value is greater than threshold
When the number of value q is more than setting value x, and x=n × 10%, then explanation is currently at motion state, executes step 4；If modulus value
When number greater than threshold value q is less than setting value x, then explanation is currently at stationary state, executes step 3；
Step 3: carrying out pulse frequency extraction using photoelectric sensor, photoplethysmographic PPG signal is obtained, by PPG signal
The interphase algorithm of middle adjacent R point obtains the pulse frequency under stationary state；
Step 4: motion state is divided into rule movement and non-rule movement according to classification of motions algorithm, determine that method is as follows；
S41, maximum value a is selected from acceleration modulus valuemax
S42, the acceleration information in array d is normalized；
The maximum value p in array d after S43, selection normalizationmax；
S44, given threshold P, with pmaxOn the basis of be worth, in array d after normalization traverse a reference value on the left of other numerical value,
Obtain it is first be more than threshold value P numerical value, be defined as pb；Similarly, other numerical value on the right side of a reference value are traversed, acquisition is first to be more than
The numerical value of threshold value P, is defined as pc；After having traversed all numerical value, once there is side not get numerical value, then it is judged as non-rule
Restrain motion state；Execute step 6；If pbAnd pcIt obtains, thens follow the steps S45；
S45, p is definedbWith pmaxThe distance between be L1, pmaxWith pcThe distance between be L2；If L1And L2Equal, then explanation is advised
Rule movement, executes step 5；Otherwise, it is determined that executing step 6 for non-rule movement；
Step 5: acquiring PPG signal using photoelectric sensor, and extract for the pulse frequency extracting method under regular motion state
Pulse frequency；
Step 6: for the pulse frequency extracting method under non-regular motion state：
PPG signal is first acquired using photoelectric sensor, denoising is carried out to PPG signal using ANC algorithm later, passes through extraction
The interphase of adjacent P point in PPG signal obtains pulse frequency.
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| CN106448051A (en) * | 2016-11-25 | 2017-02-22 | 广东电网有限责任公司电力科学研究院 | Wearable physiological sensation equipment applicable to high-altitude operation protection |
| CN107223036B (en) * | 2017-04-10 | 2019-03-29 | 深圳市汇顶科技股份有限公司 | Object wearing device, the method and device for adaptively filtering out motion artifacts |
| EP3406189A1 (en) * | 2017-05-25 | 2018-11-28 | Tata Consultancy Services Limited | System and method for heart rate estimation |
| CN109044316B (en) * | 2018-07-11 | 2021-02-02 | 歌尔科技有限公司 | Pure dynamic heart rate signal calculation method and device and intelligent wearable equipment |
| CN109875541A (en) * | 2018-12-28 | 2019-06-14 | 北京津发科技股份有限公司 | Pulses measure method, pulse measurement device and storage medium |
| CN110801214A (en) * | 2019-11-27 | 2020-02-18 | 青岛歌尔智能传感器有限公司 | Heart rate real-time detection method and system |
| CN111616695B (en) * | 2020-06-29 | 2022-09-13 | 歌尔科技有限公司 | Heart rate acquisition method, device, system and medium |
| WO2023071501A1 (en) * | 2021-11-01 | 2023-05-04 | 北京荣耀终端有限公司 | Heart rate detection method and electronic device |
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| CN104605827A (en) * | 2015-01-15 | 2015-05-13 | 辛勤 | Human body vigorous motion state judgment method and device |
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| CN1531901A (en) * | 2003-03-19 | 2004-09-29 | ������������ʽ���� | Information collector and pulse meter |
| CN101039617A (en) * | 2004-10-15 | 2007-09-19 | 普尔塞特拉瑟技术有限公司 | Motion cancellation of optical input signals for physiological pulse measurement |
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