CN110141203A - Heart rate detecting system and the wearable device for using it - Google Patents
Heart rate detecting system and the wearable device for using it Download PDFInfo
- Publication number
- CN110141203A CN110141203A CN201810145180.0A CN201810145180A CN110141203A CN 110141203 A CN110141203 A CN 110141203A CN 201810145180 A CN201810145180 A CN 201810145180A CN 110141203 A CN110141203 A CN 110141203A
- Authority
- CN
- China
- Prior art keywords
- electric signal
- value
- heart rate
- discrete
- processor
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000003287 optical effect Effects 0.000 claims abstract description 29
- 238000004020 luminiscence type Methods 0.000 claims abstract description 19
- 238000005070 sampling Methods 0.000 claims abstract description 16
- 230000009471 action Effects 0.000 claims description 23
- 238000004364 calculation method Methods 0.000 claims description 11
- 238000006243 chemical reaction Methods 0.000 claims description 11
- 238000013213 extrapolation Methods 0.000 claims description 6
- 238000001914 filtration Methods 0.000 claims description 6
- 238000010606 normalization Methods 0.000 claims description 4
- 238000000034 method Methods 0.000 description 13
- 230000008859 change Effects 0.000 description 11
- 230000033764 rhythmic process Effects 0.000 description 11
- 230000033001 locomotion Effects 0.000 description 8
- 230000007613 environmental effect Effects 0.000 description 7
- 230000007246 mechanism Effects 0.000 description 6
- 210000004369 blood Anatomy 0.000 description 4
- 239000008280 blood Substances 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 230000005611 electricity Effects 0.000 description 4
- 230000004075 alteration Effects 0.000 description 2
- 210000004247 hand Anatomy 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 210000004243 sweat Anatomy 0.000 description 2
- 241000638935 Senecio crassissimus Species 0.000 description 1
- 238000010009 beating Methods 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000017531 blood circulation Effects 0.000 description 1
- 210000004204 blood vessel Anatomy 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000010247 heart contraction Effects 0.000 description 1
- 239000004615 ingredient Substances 0.000 description 1
- 230000031700 light absorption Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000000149 penetrating effect Effects 0.000 description 1
- 210000005259 peripheral blood Anatomy 0.000 description 1
- 239000011886 peripheral blood Substances 0.000 description 1
- 238000013186 photoplethysmography Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 210000000707 wrist Anatomy 0.000 description 1
Classifications
-
- 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
-
- 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
-
- 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
-
- 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
- A61B5/7225—Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Molecular Biology (AREA)
- Biomedical Technology (AREA)
- Veterinary Medicine (AREA)
- Public Health (AREA)
- General Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- Signal Processing (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Animal Behavior & Ethology (AREA)
- Heart & Thoracic Surgery (AREA)
- Medical Informatics (AREA)
- Surgery (AREA)
- Physiology (AREA)
- Artificial Intelligence (AREA)
- Psychiatry (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Cardiology (AREA)
- Power Engineering (AREA)
- Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)
Abstract
The present invention discloses a kind of heart rate detecting system and the wearable device using it, including luminescence unit, optical sensor and processor.Luminescence unit emits a light to human body surface, and optical sensor detects the reflected light of the light, and generates the first electric signal according to reflected light.Processor calculates a low-frequency noise according to the first electric signal, and by the low-frequency noise by deducting in the first electric signal, and calculates a high-frequency noise according to the first electric signal, and by the high-frequency noise by deducting in the first electric signal.Then, processor carries out peak sensing to the first electric signal with the first sampling rate, to calculate a plurality of peak values in the first electric signal, further according to the peak value of the first sampling rate and the first electric signal, a plurality of time intervals between the peak value of the first electric signal are calculated, a heart rate is finally calculated according to time interval.
Description
Technical field
The present invention is being related to a kind of heart rate detecting system and the wearable device using it, and particularly relating to one kind can reduce
The heart rate detecting system of noise and the wearable device using it are measured as caused by environmental factor.
Background technique
In recent years, the type of wearable electronic device is more and more, for example, motion bracelet is exactly very popular with users
One of product.For universal, in addition to and application program combination, basic function provisioned in motion bracelet is nothing more than there is step counting
Function, rhythm of the heart detecting function, sleep detecting function ... etc..
For rhythm of the heart detecting function, commonly used in the trade at present is light volume change graphy figure method
(Photoplethysmography;PPG).In simple terms, when the heartbeat of user, the blood vessel of user's whole body all can
There are minor fluctuations, the working principle of light volume change graphy figure method is, and projects on light beam to the wrist of user, and with biography
The light of sensor sensing reflection, the light quantity that sensor is sensed have minor change, it is primary to be treated as heartbeat.
In more detail, human skin musculature etc. is invariable in entire blood circulation to the absorption of light,
But the volumetric blood in skin during heart contraction is with diastole under can then change.When the heart contracts, peripheral blood holds
At most, absorbing amount is also maximum for product, therefore the luminous intensity that sensor can be detected is minimum, however in diastole, periphery
Volumetric blood is minimum, and absorbing amount is also minimum, therefore the luminous intensity that sensor can be detected is maximum.In this way, through surveying
The intensity variation of device sensing reflected light can calculate the rhythm of the heart of user.Light volume change graphy figure method was from quilt in 1938
It has just widely been applied since proposition.
When light volume change graphy figure method being only applied to sports type bracelet, the opposite variation of user's rhythm of the heart is just detected
For be accurate.For example, when user's rhythm of the heart is under per minute 70, the rhythm of the heart that sports type bracelet is detected may
Under per minute 80, and when user's rhythm of the heart is under per minute 90, the rhythm of the heart that sports type bracelet is detected may be every point
Under clock 100.In this citing, although there are certain errors, with regard to user for the real-time heart rate for measuring user
The rhythm of the heart opposite variation at any time for be then accurate.
Usually will appear error when the real-time heart rate of sports type bracelet measurement user is primarily due to light volume change
Graphy figure method is easy to be interfered by extraneous factor, such as: sweat, the degree ... with skin contact.Therefore, light volume change is retouched
When remembering that figure method is applied to sports type bracelet, it usually needs the mechanism of collocation amendment or compensation excludes to make an uproar brought by extraneous factor
Sound.If the mechanism of amendment or compensation is more complete, sports type bracelet gets over the real-time rhythm of the heart that can accurately detect user.
Summary of the invention
The present invention provides a kind of heart rate detecting system, and such heart rate detecting system includes at least a luminescence unit, light sensing
Device and processor.Luminescence unit is to emit a light to human body surface, and optical sensor is one anti-to detect the light
Light is penetrated, and the first electric signal is generated according to the reflected light.Processor is connected to luminescence unit and optical sensor, and to: it will
First electric signal switchs to frequency-region signal by time-domain signal;A low-frequency noise is calculated according to the first electric signal, and by the low frequency
Noise in the first electric signal by deducting;A high-frequency noise is calculated according to the first electric signal, and by the high-frequency noise by first
It is deducted in electric signal;First electric signal is gone back into time-domain signal by frequency-region signal;The first electric signal is carried out with the first sampling rate
Peak sensing, to calculate a plurality of peak values in the first electric signal;According to the multiple of the first sampling rate and the first electric signal
Peak value calculates a plurality of time intervals between the multiple peak value of the first electric signal, and according between the multiple time
Every calculating a heart rate.
The present invention provides another heart rate detecting system, including an at least luminescence unit, optical sensor, action sensor with
Processor.Luminescence unit is to emit a light to human body surface, and a reflected light of the optical sensor to detect the light,
And the first electric signal is generated according to the reflected light.An action message of the action sensor to capture human body, according to
Action message generates the second electric signal.Processor is connected to luminescence unit, optical sensor and action sensor, to: by first
Electric signal and the second electric signal switch to frequency-region signal by time-domain signal;Normalization is carried out to the first electric signal and the second electric signal,
So that the first electric signal and the second electric signal amplitude having the same;Expand the frequency for calculating the first electric signal using extrapolation
The frequency range of range and the second electric signal, and the first electric signal and the second electric signal are filtered;Respectively to being filtered
First electric signal is sampled with the second electric signal, to obtain the first discrete value list and the second discrete value list, wherein first
Discrete value list and the second discrete value list respectively include a plurality of discrete values;According in the first discrete value table it is the multiple from
Value and the multiple discrete value in the second discrete value list are dissipated, a leading value is calculated;And it is calculated according to the leading value
A heart rate out.
The present invention provides the wearable device for being additionally provided with above-mentioned heart rate detecting system, wearable to detect wearing in real time
The heart rate of one user of device.
In conclusion heart rate detecting system provided by the present invention can be for because of extraneous ring with the wearable device using it
Noise caused by the factor of border corrects electric signal caused by optical sensor.Through corrected electric signal, institute of the present invention
The heart rate detecting system of offer and the heart rate that user just can be accurately calculated using its wearable device.
Be further understood that feature and technology contents of the invention to be enabled, please refer to below in connection with it is of the invention specifically
Bright and attached drawing, but these explanations are only used to illustrate the present invention with Detailed description of the invention book attached drawing, rather than to claim of the invention
Make any limitation.
Detailed description of the invention
Fig. 1 is the block diagram for the heart rate detecting system being painted according to exemplifying embodiments.
Fig. 2 and Fig. 3 is the flow chart of the processor progress heart rate operation in heart rate detecting system depicted in Fig. 1.
Fig. 4 is the block diagram for the heart rate detecting system being painted according to another exemplary embodiments of the present invention.
Fig. 5, Fig. 6-1 and Fig. 6-2 are the process of the processor progress heart rate operation in heart rate detecting system depicted in Fig. 4
Figure.
Fig. 7 is the signal for the wearable device for being provided with heart rate detecting system being painted according to exemplifying embodiments
Figure.
Specific embodiment
Various exemplary embodiments will be more fully described referring to alterations below, shown in alterations
Exemplary embodiments.However, concept of the present invention may embody in many different forms, and it should not be construed as limited by institute herein
The exemplary embodiments of elaboration.Specifically, providing these exemplary embodiments makes the present invention that will be detailed and complete, and will
The scope of concept of the present invention is sufficiently conveyed to those who familiarize themselves with the technology.In all schemas, similar number indicates similar assembly always.
[embodiment of heart rate detecting system]
Fig. 1 is please referred to, Fig. 1 is the block diagram for the heart rate detecting system being painted according to exemplifying embodiments.
Heart rate detecting system provided by the present embodiment is mainly set in wearable device, such as: smart watch, fortune
It starts ring ... etc., but is not intended to limit wearable device must be worn in which position of user.
As shown in Figure 1, heart rate detecting system provided by the present embodiment includes at least a luminescence unit 12, optical sensor 14
With processor 16, wherein processor 16 is connected to optical sensor 14 and luminescence unit 12.By and large, provided by the present embodiment
Heart rate detecting system is the real-time heart rate that user is measured using light volume change graphy figure method.In simple terms, the present embodiment
Provided heart rate detecting system is to emit a light using luminescence unit 12 to human body surface, is detectd followed by optical sensor 14
The reflected light of the light is surveyed, and the first electric signal is generated according to the reflected light, last processor 16 just can be according to the first electricity
Signal calculates the heart rate of user.In this present embodiment, luminescence unit 12 is green light LED (Light Emitted Diode), main
Want the reason is that, green light wavelength in 500 nanometers between 550 nanometers, therefore for the blood of human body, green light will not be too
In depth penetrating body tissue, but can be absorbed by the ferroheme height in blood.
It is notably, if measuring the real-time heart rate of user using light volume change graphy figure method merely, to hold very much
It is interfered vulnerable to extraneous factor, such as: sweat, the degree ... with skin contact.Therefore, heart rate provided by the present embodiment is detected
Processor 16 in system according to by optical sensor 14 come the first electric signal calculate the real-time heart rate of user during,
Arranged in pairs or groups to the calculation mechanism for excluding noise brought by extraneous factor, enable user the real-time rhythm of the heart more accurately
It is detected.
Next, the processor in heart rate detecting system provided by the present embodiment 16 will be illustrated according to by optical sensor 14
And the first electric signal come calculates the calculation mechanism of the real-time heart rate of user.
It is referring to figure 2. the processor progress heart rate fortune in heart rate detecting system depicted in Fig. 1 with Fig. 3, Fig. 2 and Fig. 3
The flow chart of calculation.
In simple terms, heart rate detecting system provided by the present embodiment according to by optical sensor 14 come the first electric signal
The main operational principle of heart rate for calculating user is, first by the noise remove in the first electric signal, then further according to having removed
First electric signal of noise calculates the heart rate of user.
Must be explanatorily, because noise caused by outside environmental elements may be low frequency signal, it is also possible to high-frequency signal,
For example, because human hands swing or body-sway motion caused by low frequency signal, or because human hands are quickly swung or body is fast
Speed shakes generated high-frequency signal.Therefore, as shown in Fig. 2, when processor 16 receives the first electric signal by optical sensor 14
Afterwards, step S110 and step S120 can be first carried out, to remove because of low-frequency noise caused by outside environmental elements or high-frequency noise.
In addition, before executing step S110 and step S120, processor 16 can be first by the first electricity in order to carry out the operation of noise remove
Signal switchs to frequency-region signal by time-domain signal, and those skilled in the art will be understood that how to the first electric signal carry out time domain with
Conversion between frequency domain is not just repeated in this.
The removal of processor 16 is first through a low-frequency noise meter because of the mode of low-frequency noise caused by outside environmental elements
It calculates formula and calculates low-frequency noise, then again by the calculated low-frequency noise of institute by being deducted in the first electric signal.In the present embodiment
In, low-frequency noise calculation formula is as follows:
Wherein Y [i] is low-frequency noise, and X [i+j] is the first electric signal, and M is sampling sample number.
Similarly, processor 16 is removed because the mode of high-frequency noise caused by outside environmental elements is first through a high frequency
Noise calculation formula calculates high-frequency noise, then again by the calculated high-frequency noise of institute by deducting in the first electric signal.Yu Ben
In embodiment, high-frequency noise calculation formula is as follows:
Wherein S [i] is high-frequency noise, and Z [i+j] is the first electric signal for deducting low-frequency noise, and M is sampling sample number.
After processor 16 deducts the low-frequency noise in the first electric signal with high-frequency noise, step will be then executed
S130, to carry out peak sensing to the first electric signal.The purpose for carrying out peak sensing to the first electric signal is to be to find out human body
The time point that heart is beaten each time.In simple terms, it is calculated multiple to carry out peak sensing institute to the first electric signal for processor 16
After several peak values, as time point for beating each time of human heart at the time of each peak value occurs.Must be explanatorily, processor
16 before carrying out peak sensing to the first electric signal, the first electric signal first can be gone back to time-domain signal by frequency-region signal, and originally
How field technical staff will be understood that the conversion between the first electric signal progress time-domain and frequency-domain, just not repeat in this.
As shown in figure 3, in this present embodiment, step S130 can be described further with step S132~step 138.Locating
Device 16 is managed during carrying out peak sensing, first voltage value corresponding to each unit time in the first electric signal can be carried out
Judgement, i.e. execution step S132.It must be explanatorily that the unit time described herein is the inverse of the first sampling rate.Furtherly
Bright, processor 16 is to be cut the first electric signal with this unit time, and then each unit time will correspond to the first electricity
One voltage value of signal, then processor 16 again sentences voltage value corresponding to each unit time in the first electric signal
It is disconnected.
Processor 16 is that voltage corresponding to which is judged in the first electric signal by step S134 is executed unit time
Value is peak value.It further illustrates, in step S134, processor 16 was judged in the first electric signal corresponding to a unit time
Whether voltage value is greater than all voltage values corresponding to first three unit time, also greater than institute corresponding to secondary three unit time
There is voltage value, and the voltage value is also greater than the average value of all voltage values corresponding to all unit time.If processor 16
Judge that voltage value corresponding to a unit time is greater than all voltage values corresponding to first three unit time in the first electric signal,
Also greater than all voltage values corresponding to secondary three unit time, and the voltage value was also greater than corresponding to all unit time
The average value of all voltage values, then processor 16 will judge the voltage value for one of peak value of the first electric signal.
However, if processor 16 judges that voltage value corresponding to a unit time is single no more than first three in the first electric signal
All voltage values or no more than all voltage values or the voltage value corresponding to secondary three unit time corresponding to the time of position
No more than the average value of all voltage values corresponding to all unit time, then processor 16 will judge that the voltage value is not
One of the peak value of first electric signal.In in this case, processor 16 will be then to voltage corresponding to next unit time
Value is judged.
In addition, processor 16 can also then execute step S136 after executing step S134, to judge that the voltage value is
No is voltage value corresponding to the last one unit time in the first electric signal.If the voltage value be not in the first electric signal most
Voltage value corresponding to the latter unit time, then processor 16 will continue then to electricity corresponding to next unit time
Pressure value is judged.However, if the voltage value is voltage value corresponding to the last one unit time in the first electric signal,
Processor 16 will terminate this peak sensing process.
Finally, after processor 16 carries out peak sensing to the first electric signal and calculates a plurality of peak values, processor 16
Step S140 can be executed, with using institute calculated first electric signal a plurality of peak values calculating user heart rate.Multiple such as Fig. 3
Shown, in this present embodiment, step S140 can be described further with step S142 with step 144.It further illustrates, processor
16 first carry out step S142, the time interval between a plurality of peak values to calculate the first electric signal.Processor 16 calculates
The practice of time interval between a plurality of peak values of first electric signal is mainly by the difference of two peak value adjacent in the first electric signal
Divided by the first sampling rate.Then, processor 16 execute step S144, by calculated time interval be converted into user's
Heart rate.Processor 16 be mainly through one first heart rate conversion formula by calculated time interval be converted into the heart of user
Rate, and this first heart rate conversion formula is as follows:
Wherein, BPM is the heart rate, and T is the difference of adjacent two peak value in the first electric signal, and n is peak in the first electric signal
The quantity of value.
According to the above description, heart rate detecting system provided by the present embodiment can be for because caused by outside environmental elements
Low-frequency noise or high-frequency noise correct the first electric signal caused by optical sensor.Through corrected first telecommunications
Number, the heart rate of user just can be accurately calculated in heart rate detecting system provided by the present embodiment.
[another embodiment of heart rate detecting system]
Referring to figure 4., Fig. 4 is the block diagram for the heart rate detecting system being painted according to another exemplary embodiments of the present invention.
Heart rate detecting system provided by the present embodiment is mainly set in wearable device, such as: smart watch, fortune
It starts ring ... etc., but is not intended to limit wearable device must be worn in which position of user.
Although heart rate detecting system provided by previous embodiment has been directed to because of low frequency caused by outside environmental elements
Noise or high-frequency noise correct the first electric signal caused by optical sensor, but it is mainly with regard to the first electric signal sheet
Body goes to make operation to calculate the low-frequency noise that must be deducted or high-frequency noise.In order to effectively judge noise, in addition to preceding
It states outside the component in heart rate detecting system provided by embodiment, heart rate detecting system provided by the present embodiment is more provided with dynamic
Make sensor.Due to being provided with an action sensor, heart rate detecting system provided by the present embodiment can utilize movement more
The action message of sensor human user obtained is as contrasting data, to judge noise from the first electric signal and detain
It removes.It goes to make what operation was deducted to calculate palpus with regard to first electric signal itself compared with heart rate detecting system provided by previous embodiment
The practice of low-frequency noise or high-frequency noise, heart rate detecting system provided by the present embodiment can more accurately measure the heart of user
Rate.
As shown in figure 4, heart rate detecting system provided by the present embodiment includes at least a luminescence unit 12, optical sensor
14, action sensor 15 and processor 16, wherein processor 16 is connected to optical sensor 14, action sensor 15 and luminescence unit
12。
By and large, heart rate detecting system provided by the present embodiment is measured also with light volume change graphy figure method
The real-time heart rate of user.In this present embodiment, luminescence unit 12 emits a light to human body surface, followed by optical sensor
The reflected light of the 14 detecting light, and the first electric signal is generated according to the reflected light;On the other hand, 15 meeting of action sensor
The action message of human body is captured, and the second electric signal is generated according to the action message captured.The heart provided by the present embodiment
Processor 16 in rate detecting system is that basis is produced by the first electric signal that optical sensor 14 generates with by action sensor 15
The second raw electric signal calculates the heart rate of user.
Heart rate detecting system is compared to heart rate detecting system provided by previous embodiment as provided by the present embodiment
It is provided with an action sensor 15, therefore the processor 16 in heart rate detecting system provided by the present embodiment is calculated and used more
Processor 16 in heart rate detecting system provided by the calculation mechanism and previous embodiment of the real-time heart rate of person calculates user
Real-time heart rate calculation mechanism it is not identical.
Referring to figure 5. with Fig. 6-1 and Fig. 6-2, Fig. 5, Fig. 6-1 and Fig. 6-2 are in heart rate detecting system depicted in Fig. 4
The flow chart of processor progress heart rate operation.
It has been observed that in this present embodiment, processor 16 can according to the first electric signal generated by optical sensor 14 with by moving
Make the second electric signal of the generation of sensor 15 to calculate the heart rate of user.For convenience to the first electric signal and the second electric signal into
Row operation, as shown in figure 5, processor 16 can first carry out step S210, with regular first electric signal and the second electric signal, so that
The first electric signal and the second electric signal amplitude having the same after normalization.Must be explanatorily, execute step S210 it
Before, the first electric signal and the second electric signal first can be switched to frequency-region signal by time-domain signal by processor 16, and those skilled in the art
How member will be understood that the conversion between the first electric signal and the second electric signal progress time-domain and frequency-domain, just not repeat in this.
It further illustrates, as shown in Fig. 6-1 and Fig. 6-2, in this present embodiment, step S210 can be further with step S212
~step 218 describes.In step S212, processor 16 can be first to respectively taking the first electric signal and the second electric signal
Sample, and the sampling rate system that processor 16 is respectively sampled the first electric signal and the second electric signal is defined as the second sampling rate.
Processor 16 will obtain the plurality of sample of the first electric signal after being sampled respectively to the first electric signal and the second electric signal
The plurality of sample numerical value of numerical value and the second electric signal.Then in step S214~step S216, processor 16 can calculate institute
State the flat of the average value of the multiple sample values of the first electric signal and the multiple sample values of second electric signal
Mean value, and the standard deviation of the multiple sample values of the first electric signal and the multiple sample of the second electric signal can be calculated
The standard deviation of this numerical value.Finally, processor 16 can be according to the average value and standard deviation of the first electric signal in step S218
And second electric signal average value and standard deviation, calculate the amplitude of the first electric signal and the second electric signal, it is then just complete
At the normalization of the first electric signal and the second electric signal.
Next, in step S220, processor 16 can be expanded using an extrapolation in order to make data volume carry out operation enough
The frequency range of the big frequency range for calculating the first electric signal and the second electric signal.In this present embodiment, processor 16 is with anti-
It penetrates extrapolation (Extrapolation by Reflection) and expands the frequency range and the second electric signal for calculating the first electric signal
Frequency range, and those skilled in the art will be understood that reflection extrapolation Computing Principle, just do not repeated in this.In addition, place
It manages after device 16 expands and calculate the frequency range of the first electric signal and the frequency range of the second electric signal, it can be by the first electric signal and the
Two electric signals are filtered, with the subsequent signal processing of benefit.
In step S230, processor 16 can respectively be sampled the first electric signal through filtering with the second electric signal,
To obtain the first discrete value list and the second discrete value list.It must be explanatorily that the first discrete value list and the second discrete value arrange
Table respectively includes a plurality of discrete values, and the discrete value in the first discrete value list is 16 pairs of processor the first telecommunications through filtering
Obtained signal data after number being sampled, similarly, the discrete value in the second discrete value list are 16 pairs of processor warps
Obtained signal data after second electric signal of filtering is sampled.In this present embodiment, processor 16 is to utilize discrete Fu
Vertical leaf transformation (Discrete Fourier Transform;DFT) come to through filtering the first electric signal and the second electric signal into
Row operation is to obtain the first discrete value list and the second discrete value list.
It has been observed that heart rate detecting system provided by the present embodiment utilizes action sensor human user obtained
Action message (that is, second electric signal) is as contrasting data, to judge noise from the first electric signal and deduct.Therefore,
In step S240, processor 16 can be according in the multiple discrete value and the second discrete value list in the first discrete value table
The multiple discrete value calculates a leading value, and wherein this leading value is the heart rate for being relevant to user.
Processor 16 be will be described below how according to the multiple discrete value and the second discrete value in the first discrete value table
The multiple discrete value in list calculates the heart rate of user.As shown in Fig. 6-1 and Fig. 6-2, in this present embodiment, step
S240 can be described further with step S242~step 248.By and large, processor 16 is mainly by the first discrete value list
In the multiple discrete value contrasted with the multiple discrete value in the second discrete value list, to deduct noise and judge
It is relevant to the leading value of the heart rate of user.
In step S242, processor 16 can first judge that the maximum value of multiple discrete values described in the first discrete value list is
The no maximum value for being less than or equal to multiple discrete values described in the second discrete value list.If described in the first discrete value list it is multiple from
The maximum value for dissipating value is greater than the maximum value of multiple discrete values described in the second discrete value list, then processor 16 executes step
The maximum value of multiple discrete values described in first discrete value list is judged as leading value by S243.On the other hand, if first is discrete
The maximum value of multiple discrete values described in value list is less than or equal to the maximum value of multiple discrete values described in the second discrete value list,
Indicating the noise in the first electric signal enough influences the signal for being actually relevant to the heart rate of user, and then processor 16 will execute
Step S244, to leave out the maximum value of multiple discrete values described in the first discrete value list.
However, the degree of the signal in order to more accurately judge the practical heart rate for being relevant to user of influence of noise, processor
16 can further execute step S246, in terms of before the discrete value and heart rate detecting system for judging to be left out in step S244 once
Whether the difference of the heart rate of calculating is less than a threshold value.In this present embodiment, this threshold value is set as 12.If the discrete value left out
It is more than or equal to 12 with the difference of calculated heart rate primary before heart rate detecting system, then it represents that is left out in step S244 is discrete
Value is noise, and then processor 16 executes step S247, and the second largest value of multiple discrete values described in the first discrete value list is sentenced
Break to dominate value.On the other hand, if the discrete value left out and the difference of calculated heart rate primary before heart rate detecting system are less than
12, then it represents that the discrete value left out in step S244 has influence of the part by noise, and then processor 16 executes step
S248, based on the average value judgement of the second largest value of multiple discrete values described in the discrete value left out and the first discrete value list
Lead value.
After processor 16 executes the step S242~step 248, i.e., expression processor is according to the second electric signal by the
Noise in one electric signal deducts, and judges the leading value for the frequency domain for being actually relevant to the heart rate of user.Then, processor
16 will then execute step S250, to calculate the heart rate of user according to the leading value judged.In this present embodiment,
Processor 16 is that the leading value judged is converted to the heart rate used measured through the second heart rate conversion formula.
In this present embodiment, the second heart rate conversion formula is as follows:
BPM=fselect8d*60
Wherein, fselectedFor the leading value (frequency selected in dft) of the aforementioned frequency domain judged.
According to the above description, action sensor human body obtained is utilized in heart rate detecting system provided by the present embodiment
The action message of user is as contrasting data, to judge noise from the first electric signal and deduct.In this way, just can be by
The noise contribution generated by user's body movement is excluded in first electric signal, and then more accurately calculates the heart of user
Rate.
[embodiment of wearable device]
Wearable device system provided by the present embodiment is provided with any heart rate detecting system provided by previous embodiment
System, to achieve the purpose that accurately to measure the heart rate of user.Such as: for example, wearable dress provided by the present embodiment
Set can for smart watch, motion bracelet ... etc., but the present invention in this be not intended to limit wearable device must wear in user which
A position.In addition, the Yu Qianshu of the correlative detail of heart rate detecting system set by wearable device provided by the present embodiment
It is described in detail in embodiment, is not just repeated in this.
[possibility effect of embodiment]
In conclusion heart rate detecting system provided by the present invention can be for because of extraneous ring with the wearable device using it
Low-frequency noise caused by the factor of border or high-frequency noise correct electric signal caused by optical sensor.Through corrected
Electric signal, heart rate detecting system provided by the present invention with using its wearable device just can be accurately calculated user's
Heart rate.
In addition to this, heart rate detecting system provided by the present invention is more utilized movement with the wearable device using it and passes
The action message of sensor human user obtained is as contrasting data, to judge to make an uproar from the electric signal that optical sensor generates
It sound and deducts.In this way, exclude the making an uproar for generating due to user's body movement in the electric signal that just can be generated by optical sensor
Sound ingredient, and then more accurately calculate the heart rate of user.
Must be explanatorily finally, in preceding description, although by the concept of the technology of the present invention with multiple exemplary implementations
Example is specifically illustrated in and illustrates, however has usually intellectual in the field of technique and will be understood that, without departing substantially from by following
Under conditions of the range of the concept of the technology of the present invention that claim is defined, it can be made each in form and details
Kind variation.
Claims (10)
1. a kind of heart rate detecting system characterized by comprising
An at least luminescence unit, to emit a light to human body surface;
One optical sensor generates one first electric signal to detect a reflected light of the light, and according to the reflected light;With
And
One processor is connected to the optical sensor and the luminescence unit, to:
First electric signal is switched into frequency-region signal by time-domain signal;
A low-frequency noise is calculated according to first electric signal, and by the low-frequency noise by detaining in first electric signal
It removes;
A high-frequency noise is calculated according to first electric signal, and by the high-frequency noise by detaining in first electric signal
It removes;
First electric signal is gone back into time-domain signal by frequency-region signal;
Peak sensing is carried out to first electric signal with one first sampling rate, it is a plurality of in first electric signal to calculate
Peak value;
According to the multiple peak value of first sampling rate and first electric signal, the institute of first electric signal is calculated
A plurality of time intervals between multiple peak values are stated, and a heart rate is calculated according to the multiple time interval.
2. the heart rate detecting system as described in claim the 1, which is characterized in that the processor is according to a low-frequency noise meter
It calculates formula and calculates the low-frequency noise, and the low-frequency noise calculation formula are as follows:
Wherein Y [i] is the low-frequency noise, and X [i+j] is first electric signal, and M is a sampling sample number.
3. the heart rate detecting system as described in claim the 2, which is characterized in that the processor further to:
The high-frequency noise, and the high-frequency noise calculation formula are calculated according to a high-frequency noise calculation formula are as follows:
Wherein S [i] is the high-frequency noise, and Z [i+j] is first electric signal for deducting the low-frequency noise, and M is described
Sample sample number.
4. the heart rate detecting system as described in claim the 3, which is characterized in that during Yu Jinhang peak sensing, institute
State processor further to:
A voltage value corresponding to each unit time in first electric signal is judged, and the unit time is institute
State the inverse of the first sampling rate;And
The voltage value corresponding to the last one unit time in first electric signal is judged in the processor
Afterwards, the processor terminates peak sensing
Wherein, if the voltage value is greater than all voltage values corresponding to first three unit time and is greater than secondary three units
Between corresponding all voltage values, and the voltage value is greater than the one average of all voltage values corresponding to all unit time
Value, then the processor judges the voltage value for one of the multiple peak value of first electric signal.
5. the heart rate detecting system as described in claim the 4, which is characterized in that the processor further to:
By the difference of two peak value adjacent in first electric signal divided by first sampling rate, to calculate first electric signal
The multiple peak value between the multiple time interval;And
According to one first heart rate conversion formula, the heart rate, and first heart rate are calculated using the multiple time interval
Conversion formula are as follows:
Wherein, BPM is the heart rate, and T is the difference of adjacent two peak value in first electric signal, and n is first electric signal
The quantity of middle peak value.
6. a kind of heart rate detecting system characterized by comprising
An at least luminescence unit, to emit a light to human body surface;
One optical sensor generates one first electric signal to detect a reflected light of the light, and according to the reflected light;
One action sensor, to capture an action message of human body, to generate one second electric signal according to the action message;
And
One processor is connected to the luminescence unit, the optical sensor and the action sensor, to:
First electric signal and second electric signal are switched into frequency-region signal by time-domain signal;
Normalization is carried out to first electric signal and second electric signal, so that first electric signal and described second
Electric signal amplitude having the same;
Expanded using an extrapolation and calculates the frequency range of first electric signal and the frequency range of second electric signal, and
First electric signal and second electric signal are filtered;
First electric signal through filtering is sampled with second electric signal respectively, to obtain one first discrete value column
Table and one second discrete value list, wherein the first discrete value list respectively included with the described second discrete value list it is a plurality of
Discrete value;
According in the first discrete value table the multiple discrete value and the described second discrete value list in it is the multiple from
Value is dissipated, a leading value is calculated;And
A heart rate is calculated according to the leading value.
7. the heart rate detecting system as described in claim the 6, which is characterized in that described during progress is normalized
Processor further to:
First electric signal and second electric signal are sampled respectively according to one second sampling rate, to obtain described
The plurality of sample numerical value of the plurality of sample numerical value of one electric signal and second electric signal;
Calculate the average value of the multiple sample values of first electric signal and the multiple sample of second electric signal
The average value of this numerical value;
Calculate the multiple of the standard deviations of the multiple sample values of first electric signal and second electric signal
The standard deviation of sample values;And
According to the average value of first electric signal and standard deviation and the average value and standard deviation of second electric signal,
Calculate the amplitude of first electric signal Yu second electric signal.
8. the heart rate detecting system as described in claim the 7, which is characterized in that the processor is respectively to the institute through filtering
State the first electric signal and second electric signal and carry out Discrete Fourier Transform, with obtain the described first discrete value list with it is described
Second discrete value list, and the maximum value for working as multiple discrete values described in the described first discrete value list is less than or equal to described second
Described in discrete value list when the maximum value of multiple discrete values, the processor further to:
Leave out the maximum value of multiple discrete values described in the described first discrete value list;
Judge the difference of the discrete value left out and previous calculated heart rate whether less than a threshold value;
If the discrete value left out and the difference of previous calculated heart rate are less than the threshold value, with the institute left out
The average value of the second largest value of multiple discrete values described in discrete value and the described first discrete value list is stated as the leading value;With
And
If the difference of the discrete value left out and previous calculated heart rate is more than or equal to the threshold value, with described the
The second largest value of multiple discrete values described in one discrete value list is as the leading value;
Wherein, the maximum value of multiple discrete values described in the described first discrete value list is greater than in the described second discrete value list
When the maximum value of the multiple discrete value, then using the maximum value of multiple discrete values described in the described first discrete value list as institute
State leading value.
9. the heart rate detecting system as described in claim the 8, which is characterized in that the processor further to:
According to one second heart rate conversion formula, the heart rate is calculated according to the leading value, and second heart rate conversion is public
Formula are as follows:
BPM=fselected*60
Wherein, fselectedFor the leading value, it is relevant to the frequency domain of the heart rate.
10. a kind of wearable device, which is characterized in that be arranged just like the heart described in claim the 1 or claim the 6
Rate detecting system, to detect the heart rate for the user for wearing the wearable device in real time.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810145180.0A CN110141203A (en) | 2018-02-12 | 2018-02-12 | Heart rate detecting system and the wearable device for using it |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810145180.0A CN110141203A (en) | 2018-02-12 | 2018-02-12 | Heart rate detecting system and the wearable device for using it |
Publications (1)
Publication Number | Publication Date |
---|---|
CN110141203A true CN110141203A (en) | 2019-08-20 |
Family
ID=67588078
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810145180.0A Pending CN110141203A (en) | 2018-02-12 | 2018-02-12 | Heart rate detecting system and the wearable device for using it |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110141203A (en) |
Citations (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1762945A2 (en) * | 2005-09-08 | 2007-03-14 | Rohde & Schwarz GmbH & Co. KG | Method for transforming to the time domain measured data obtained in the frequency domain |
US20080076991A1 (en) * | 2006-09-21 | 2008-03-27 | Starr Life Sciences Corp. | Medical display devices for cardiac and breathing parameters derived from extra-thoracic blood flow measurements |
US20080132770A1 (en) * | 2006-12-05 | 2008-06-05 | Starr Life Sciences Corp. | Research data classification and quality control for data from non-invasive physiologic sensors |
CN102319063A (en) * | 2011-07-26 | 2012-01-18 | 深圳市理邦精密仪器股份有限公司 | Device and method for improving acceleration identification accuracy of fetal heart rate data |
US20130085354A1 (en) * | 2007-01-10 | 2013-04-04 | Starr Life Sciences Corp. | Techniques for accurately deriving physiologic parameters of a subject from photoplethysmographic measurements |
US20130324812A1 (en) * | 2012-05-31 | 2013-12-05 | Atlantis Limited Partnership | Cardiac pulse coefficient of variation and breathing monitoring system and method for extracting information from the cardiac pulse |
CN105105737A (en) * | 2015-08-03 | 2015-12-02 | 南京盟联信息科技有限公司 | Motion state heart rate monitoring method based on photoplethysmography and spectrum analysis |
US20150351646A1 (en) * | 2014-06-09 | 2015-12-10 | Stmicroelectronics S.R.L. | Method for the estimation of the heart-rate and corresponding system |
CN105380630A (en) * | 2014-08-22 | 2016-03-09 | 苹果公司 | Heart rate path optimizer |
CN105520726A (en) * | 2014-09-30 | 2016-04-27 | 原相科技股份有限公司 | Heartbeat detection module and detection method and denoising method thereof |
CN105816163A (en) * | 2016-05-09 | 2016-08-03 | 安徽华米信息科技有限公司 | Method, device and wearable equipment for detecting heart rate |
CN106618542A (en) * | 2015-10-28 | 2017-05-10 | 中国科学院上海高等研究院 | Denoising heart rate detecting device and method |
WO2017136339A1 (en) * | 2016-02-01 | 2017-08-10 | Verily Life Sciences, LLC | Systems and methods for probabilistic pulse rate estimation from photoplethysmographic measurements in the presence of nonstationary and nontrivial signal and noise spectra |
-
2018
- 2018-02-12 CN CN201810145180.0A patent/CN110141203A/en active Pending
Patent Citations (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1762945A2 (en) * | 2005-09-08 | 2007-03-14 | Rohde & Schwarz GmbH & Co. KG | Method for transforming to the time domain measured data obtained in the frequency domain |
US20080076991A1 (en) * | 2006-09-21 | 2008-03-27 | Starr Life Sciences Corp. | Medical display devices for cardiac and breathing parameters derived from extra-thoracic blood flow measurements |
US20080132770A1 (en) * | 2006-12-05 | 2008-06-05 | Starr Life Sciences Corp. | Research data classification and quality control for data from non-invasive physiologic sensors |
US20130085354A1 (en) * | 2007-01-10 | 2013-04-04 | Starr Life Sciences Corp. | Techniques for accurately deriving physiologic parameters of a subject from photoplethysmographic measurements |
CN102319063A (en) * | 2011-07-26 | 2012-01-18 | 深圳市理邦精密仪器股份有限公司 | Device and method for improving acceleration identification accuracy of fetal heart rate data |
US20130324812A1 (en) * | 2012-05-31 | 2013-12-05 | Atlantis Limited Partnership | Cardiac pulse coefficient of variation and breathing monitoring system and method for extracting information from the cardiac pulse |
US20150351646A1 (en) * | 2014-06-09 | 2015-12-10 | Stmicroelectronics S.R.L. | Method for the estimation of the heart-rate and corresponding system |
CN105380630A (en) * | 2014-08-22 | 2016-03-09 | 苹果公司 | Heart rate path optimizer |
CN105520726A (en) * | 2014-09-30 | 2016-04-27 | 原相科技股份有限公司 | Heartbeat detection module and detection method and denoising method thereof |
CN105105737A (en) * | 2015-08-03 | 2015-12-02 | 南京盟联信息科技有限公司 | Motion state heart rate monitoring method based on photoplethysmography and spectrum analysis |
CN106618542A (en) * | 2015-10-28 | 2017-05-10 | 中国科学院上海高等研究院 | Denoising heart rate detecting device and method |
WO2017136339A1 (en) * | 2016-02-01 | 2017-08-10 | Verily Life Sciences, LLC | Systems and methods for probabilistic pulse rate estimation from photoplethysmographic measurements in the presence of nonstationary and nontrivial signal and noise spectra |
CN105816163A (en) * | 2016-05-09 | 2016-08-03 | 安徽华米信息科技有限公司 | Method, device and wearable equipment for detecting heart rate |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Reddy et al. | On-device integrated PPG quality assessment and sensor disconnection/saturation detection system for IoT health monitoring | |
ES2954155T3 (en) | Blood pressure calculation method based on the transit time of the reflected wave of pulse and blood pressure monitor | |
JP2018505715A (en) | Sleep monitoring device and method | |
RU2675399C2 (en) | Heart rate monitoring system | |
JP2017042386A (en) | Biological information processing system and program | |
JP6310401B2 (en) | Method, system and computer program for processing a signal representing a physiological rhythm | |
JP2014150869A (en) | Biological information detection device, biological information detection method, and biological information detection program | |
AU2003251023A1 (en) | Procedure for detection of stress by segmentation and analysing a heart beat signal | |
US9980657B2 (en) | Data recovery for optical heart rate sensors | |
JP2012055464A (en) | Sleep evaluating device, sleep evaluating system, and program | |
CN109069039A (en) | System and method for assessing the variation of the heart rate of object | |
TW201637610A (en) | Method for monitoring a heart rate | |
JPWO2018042512A1 (en) | Activity amount processing apparatus, activity amount processing method, and activity amount processing program | |
CN109843165A (en) | Heartbeat detecting method and heartbeat detection apparatus | |
EP3791780B1 (en) | Apparatus and method for estimating bio-information | |
JPWO2017150225A1 (en) | Activity rhythm determination method and activity rhythm determination device | |
KR20200059584A (en) | Stress Level Analyzing Method and System Using Respiratory Rate-to-Heart Rate Ratio | |
CN108697335B (en) | Method and apparatus for detecting living tissue using signal analysis | |
WO2016143489A1 (en) | Pulse measuring device | |
CN110141203A (en) | Heart rate detecting system and the wearable device for using it | |
JP2014057622A (en) | Waveform data processing device, waveform data processing method and program | |
JP2015139516A (en) | Biological information measurement device | |
US10159438B2 (en) | Determining resting heart rate using wearable device | |
Sivaranjini et al. | Fast quality-aware amdf based pulse rate estimation from compressed ppg measurements for wearable vital signs monitor | |
JP6482107B1 (en) | Sleep evaluation device, sleep evaluation method, and sleep evaluation program |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
WD01 | Invention patent application deemed withdrawn after publication | ||
WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20190820 |