CN104688214B - Heart rate calculation device and method based on algorithms of software filter and data statistics - Google Patents
Heart rate calculation device and method based on algorithms of software filter and data statistics Download PDFInfo
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- CN104688214B CN104688214B CN201510119088.3A CN201510119088A CN104688214B CN 104688214 B CN104688214 B CN 104688214B CN 201510119088 A CN201510119088 A CN 201510119088A CN 104688214 B CN104688214 B CN 104688214B
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- 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
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Abstract
The invention relates to the technical field of medical treatment and discloses a heart rate calculation device and method based on algorithms of software filter and data statistics. The heart rate calculation device comprises an induction input portion, a signal processing portion and a data display portion, wherein the induction input portion comprises an analog front end, an infrared lamp, a red globe lamp and a receiving device and is used for acquiring the variation of the light intensity. The signal processing portion comprises a micro-control unit, a sensor and a memory cell and is used for processing the light intensity variation signals. The data display portion adopts a display screen. The heart rate calculation method includes: acquiring the light intensity variation signals and processing the light intensity variation signals by utilization of the software filter algorithm, the data statistic algorithm and an acceleration sensor posture discrimination algorithm. The heart rate calculation device and method based on the algorithms of the software filter and the data statistics can improve the measuring precision of the heat rate and reduce the hardware cost at the same time.
Description
Technical field
The present invention relates to a kind of medical treatment electronic equipment and method, more particularly to a kind of software filtering that is based on is with data statisticss calculation
The rate calculation device and rate calculation method of method.
Background technology
Modern society is with the improvement of people's living standards, life style, the change of diet structure, on the one hand, hypertension,
The cardiovascular disease such as coronary heart disease have progressively become commonly encountered diseases and frequently-occurring disease on clinical medicine, belong to chronic burst disease these diseases more
Disease, and with multiple complications, and cannot cure mostly, can only control, it is desirable to control these diseases, need patient periodically to go
Hospital asks family doctor that physical examination, regular drug administration are carried out in family, but so still cannot be avoided emergency situations
Occur.Accordingly, it would be desirable to the changes in heart rate of monitor in real time patient, is pinpointed the problems in time.On the other hand, carrying with living standard
Height, the increasing common people start to focus on health preserving, taken exercise by science, science move to keep fit, but while, need
The factors such as concern movement time, exercise intensity, the change of centre of motion rate, carry out rational and are adapted to the exercise program of oneself, it is ensured that
Momental reasonability and the effect of motion.Therefore, start substantial amounts of heart rate equipment, for example, sports watch, extension occur on the market
Wear formula cardiotachometer etc..
At present, heart rate equipment on the market realizes rate calculation using infrared light, red visible or green visible,
Also have some to use photographic head to calculate heart rate, but, the accuracy rate of these product accounting hearts rate is too low, be not enough to allow user by its
The data for counting are used as reference frame, such that the health and body of estimating oneself of patient or domestic consumer's mistake
Body ability to bear, it could even be possible to causing life danger.
The content of the invention
The technical problem to be solved is to provide one kind based on software filtering and data statisticss algorithm rate calculation
Device and rate calculation method, to solve the problems, such as that it is too low that original rate calculation equipment and computational methods calculate heart rate accuracy rate.
The present invention solves the technical scheme that adopted of above-mentioned technical problem, on the one hand, the present invention provides a kind of based on soft
Part filters the rate calculation device with data statisticss algorithm, should include in device：Sensing importation, signal processing sum
According to display portion, wherein,
The sensing importation includes infrared lamp, red globe lamp, optical pickup apparatus and AFE (analog front end)；The signal processing part
Dividing includes micro-control unit, sensor and memory element；The data display unit includes display screen；
The sensing importation gathers intensity variation signal, is input to the signal processing, Jing after processing by
The data display unit shows；
The sensing importation and the data display unit are communicated by SPI interface；
The signal processing is analyzed and processes the intensity variation signal.
Preferably, the infrared lamp and the red globe lamp send infrared light and red visible respectively；The light-receiving dress
The infrared light and the red visible that receive are put in pulsation change；The AFE (analog front end) is to the infrared light and institute
State red visible to be processed, obtain the intensity variation signal.
Preferably, the micro-control unit is analyzed and processes the intensity variation signal；The sensor is by the light
Strength Changes signal is converted into the signal of telecommunication, obtains the change of pulse flow, and the change of induction installation acceleration；The storage is single
Unit is used for storing the intensity variation signal and the signal of telecommunication.
On the other hand, the present invention provides a kind of rate calculation method based on software filtering and data statisticss algorithm, the party
Method includes step：
S1, collection intensity variation signal；
S2, by software filtering algorithm, data statisticss algorithm and acceleration transducer pose discrimination algorithm process and optimize
The intensity variation signal.
Preferably, step S1 includes step：
S101, opening red globe lamp, red signal light of sampling process infrared light ambient-signal data；
S102, the closing red globe lamp, HONGGUANG ambient signal of sampling process red signal light data；
S103, opening infrared lamp, infrared signal of sampling process HONGGUANG ambient-signal data；
S104, the closing infrared lamp, infrared light ambient signal of sampling process infrared signal data；
Obtain intensity variation signal.
Preferably, step S2 includes step：
S201, the software filtering algorithm are scaled using dynamic matrix, are filtered and are scaled the intensity variation signal, obtain
To the intensity variation signal for being close to sine wave；
S202, the positive and negative change for judging the sine waveform.
Preferably, step S101～step S104 is circulated in each sampling period T time successively and is completed, each step
It is 1/4T the time required to rapid.
Preferably, step S202 judged to sine waveform, if the sine waveform amplitude is substantially, that
When the sinusoidal wave data is when negative is changed into positive number, a heart beat cycle is denoted as；If the sine waveform amplitude is not
Substantially, it is impossible to judge the positive and negative alternate of its numerical value, then by the data statisticss algorithm and the acceleration transducer appearance
Gesture distinguished number carries out real time data statistics and analysis to the intensity variation signal, and dynamic regulation threshold value judges ripple again
The positive and negative change of shape.
Preferably, the threshold value is the data message according to data statisticss algorithm statistics, with reference to the peace of heart rate device
Configuration state carries out dynamic regulation.
Description of the drawings
Fig. 1 is the frame in the first embodiment of the present invention based on software filtering and the rate calculation device of data statisticss algorithm
Figure；
Fig. 2 be the present invention first preferred embodiment in rate calculation method based on software filtering and data statisticss algorithm
Flow chart；
Fig. 3 be the present invention first preferred embodiment in collect the waveform of intensity variation signal；
Fig. 4 be the present invention first preferred embodiment in Jing after software filtering algorithm process intensity variation signal ripple
Shape；
Fig. 5 be the present invention the second preferred embodiment in collect the waveform of intensity variation signal.
Specific embodiment
Following examples are only used for clearly illustrating technical scheme, and can not limit the present invention with this
Protection domain.Description subsequent descriptions are to implement the better embodiment of the present invention, and so the description is to illustrate the present invention
Rule for the purpose of, be not limited to the scope of the present invention.Protection scope of the present invention is when regarding claims institute
The person of defining is defined.
The present invention is described in further details with specific embodiment below in conjunction with the accompanying drawings.
As shown in figure 1, first embodiment of the invention discloses a kind of based on software filtering and the heart rate of data statisticss algorithm
Computing device, the device are included：Sensing importation 1, signal processing 2 and data display unit 3.
Further, sensing importation 1 includes infrared lamp 101, red globe lamp 102,103 and of optical pickup apparatus
AFE4400104；According to HbO2 Oxyhemoglobins HbO2 in blood and deoxyhemoglobin Hb to 660nm HONGGUANG and 940nm infrared lights
The characteristics of absorption peak is different, the HONGGUANG that the infrared light and red globe lamp 102 that infrared lamp 101 sends sends is by transmission or reflection
Mode sends optical pickup apparatus 103 to；Infrared light that optical pickup apparatus 103 are received and the intensity variation signal of HONGGUANG with
Heartthrob changes and changes；AFE4400104 is a fully-integrated simulation for being very suitable for pulse oximeter application
Front end, for processing the infrared light and HONGGUANG that receive, obtains intensity variation signal.
Further, signal processing 2 includes micro-control unit 201, gravity sensor 202 and flash storage
203；Micro-control unit 201 is using using software filtering algorithm, data statisticss algorithm and acceleration transducer pose discrimination algorithm
Process intensity variation signal；Intensity variation signal can not only be converted into the signal of telecommunication by gravity sensor 202, obtain volume
The change of pulse flow, and the change of acceleration in motor process can be perceived so that acceleration transducer pose discrimination is calculated
Method can analyze user's posture；Intermediate data in the storage intensity variation signal processing of flash storage 203 and final
Data.
Further, data display unit 3 includes LCD display 301, for showing heart rate data in real time.
Further, sense importation 1 and data display unit 3 is communicated by SPI interface.
In the present embodiment, by HbO2 and Hb it is different with 940nm infrared Absorption peak values to 660nm HONGGUANG the characteristics of, adopt
Collection intensity variation signal, after AFE4400 process, intensity variation signal is more accurate；Signal processing unit is abandoned
The way of rate calculation accuracy is improved using hardware, micro-control unit is using software filtering algorithm, data statisticss algorithm and adds
Velocity sensor pose discrimination algorithm process intensity variation signal, not only increases the precision of rate calculation, also reduces institute
The hardware cost for needing.
Referring to Fig. 2, present embodiment discloses a kind of rate calculation method based on software filtering and data statisticss algorithm, should
Method includes step：
S1, collection intensity variation signal heart rate data；
S2, by software filtering algorithm, data statisticss algorithm and acceleration transducer pose discrimination algorithm process and optimize
The heart rate data.
Further, step S1 includes step：
S101, opening red globe lamp, red signal light of sampling process infrared light ambient-signal data；
S102, closing red globe lamp, HONGGUANG ambient signal of sampling process red signal light data；
S103, opening infrared lamp, infrared signal of sampling process HONGGUANG ambient-signal data；
S104, closing infrared lamp, infrared light ambient signal of sampling process infrared signal data.
In step S1, the sample frequency of signal is 500Hz, in each sampling period, is sequentially completed step S101～S104, obtains
To intensity variation signal.
Further, step S2 includes step：
S201, software filtering algorithm are scaled using dynamic matrix, filter and scale intensity variation signal, obtain just being close to
The intensity variation signal of string ripple；
S202, the positive and negative change for judging sine waveform.
Further, step S202 judged to sine waveform, if the sine waveform amplitude is obvious, then
When the sinusoidal wave data is when negative is changed into positive number, a heart beat cycle is denoted as；If the sine waveform amplitude is failed to understand
It is aobvious, it is impossible to judge the positive and negative alternate of its numerical value, then by the data statisticss algorithm and the acceleration transducer posture
Distinguished number carries out real time data statistics and analysis to the intensity variation signal, and dynamic regulation threshold value judges waveform again
Positive and negative change.
Further, the data message that threshold value is counted according to data statisticss algorithm, with reference to the placement state of heart rate device
Carry out dynamic regulation.
In the present embodiment, intensity variation signal is gathered by step S1, because each sample period time is very short, can be regarded as
It is real-time intensity variation signal, intensity variation signal is filtered and scaled using filtering algorithm, light intensity change can be obtained
Change the sinusoidal wave waveform of signal.When sinusoidal amplitude is obvious, the higher heart rate data of precision can be calculated；In sine wave
When amplitude is not obvious, intensity variation signal can be entered by data statisticss algorithm and acceleration transducer pose discrimination algorithm
Row real time data statistics and analysis, so as to calculate high accuracy heart rate data.
Further, it is to be believed by the intensity variation that step S1 is collected in the present embodiment referring to Fig. 3 and Fig. 4, Fig. 3
Number waveform, Fig. 4 is the waveform of the intensity variation signal of Jing software filtering algorithm process, it can be seen that the light intensity that Fig. 3 shows
The waveform change of degree variable signal is obvious, and after filtered algorithm process, the sine waveform amplitude in Fig. 4 is larger, can be accurate
Count the number of times that waveform is changed into positive number from negative, i.e. heart rate data.
In the present embodiment, filtering algorithm is scaled by dynamic matrix, and intensity variation signal is filtered and scaled,
Sinusoidal wave is translated into, its positive and negative alternate is judged, heart rate data is counted, the data precision for so counting is higher,
It also avoid the consumption of hardware cost.
Referring to Fig. 5, it is heart rate device is collected when right inadequate with skin paste in the second embodiment of the present invention light intensity
Degree variable signal.Heart rate device is to play the purpose of monitor in real time, is carried with, and for example, is worn over ear-lobe, finger or wrist etc.
Place.It is worn on finger, the intensity variation signal that heart rate device gets is the variable signal of transmitted light；It is worn at wrist, makes
Heart rate wrist-watch is made, the intensity variation signal for getting is the variable signal of reflected light.When heart rate device and skin attachement not
When enough tight, the intensity variation signal for collecting cannot obtain the accurate waveform of pulse by software filtering, it is impossible to judge class
Sine-shaped positive and negative change, i.e. " little hump " phenomenon.Now, the present embodiment adopts data statisticss algorithm and acceleration sensing
Device pose discrimination algorithm, the real time data that statistical monitoring is arrived, and be analyzed, shape is worn with reference to heart rate data before and user
State, dynamic regulation threshold value judge heart beat cycle again.
It is in the present embodiment, unconspicuous using data statisticss algorithm and the change of acceleration transducer pose discrimination algorithm process
Intensity variation signal, is monitored by real time data and is analyzed, adjusted dynamic threshold, judge the positive and negative change of waveform, this side
Method, solve substantially because user wear heart rate device it is lack of standardization cause heart rate data to calculate inaccurate problem, fully meet
High-precision requirement to rate calculation, meanwhile, process and optimization to intensity variation signal are completed using software, be greatly reduced
Because improving the hardware cost required for accuracy rate.
Compared with prior art, the invention provides a kind of based on software filtering and the rate calculation side of data statisticss algorithm
Method, and a kind of rate calculation device based on the method.Rate calculation device by signal processing using filtering algorithm,
Data statisticss algorithm and acceleration transducer pose discrimination algorithm enter to sensing the intensity variation signal that importation collects
Row is processed.Filtering algorithm can scale intensity variation signal, and be filtered；Data statisticss algorithm with real-time monitoring and can be united
Photometric Strength Changes signal, and the dynamic threshold of real-time regulation intensity variation signal；Acceleration transducer pose discrimination algorithm
The acceleration change sensed by gravity sensor, differentiates the current posture of user.As such, it is possible to more accurately count use
The heart rate data at family, obtains high-precision heart rate data, meanwhile, it is accurate to improve heart rate using hardware device compared to prior art
Really the mode of rate, of the invention to process intensity variation signal using software approach, greatly reduces because improving heart rate statistics standard
Really rate and the hardware cost that expends.
It should be noted that the foregoing is only presently preferred embodiments of the present invention, the patent of the present invention is not thereby limited
Protection domain, the present invention can also carry out the improvement of material and structure to the construction of above-mentioned various parts, or adopt skill
Art equivalent is replaced.Therefore the equivalent structure change made by all description and diagramatic content with the present invention, or directly or
Apply to indirectly other correlative technology fields be all contained in the same manner the present invention it is covered in the range of.
Claims (8)
1. a kind of rate calculation device based on software filtering and data statisticss algorithm, it is characterised in that the rate calculation dress
Put including：Sensing importation, signal processing and data display unit, wherein,
The sensing importation includes infrared lamp, red globe lamp, optical pickup apparatus and AFE (analog front end)；The signal processing part subpackage
Include micro-control unit, sensor and memory element；The data display unit includes display screen；
The sensing importation gathers intensity variation signal, is input to the signal processing, Jing after processing by described
Data display unit shows；
The sensing importation and the data display unit are communicated by SPI interface；
The signal processing is analyzed and processes the intensity variation signal；
The micro-control unit is scaled using dynamic matrix by software filtering algorithm, filters and scale the intensity variation letter
Number, obtain being close to the intensity variation signal of sine wave, and judge the positive and negative change of the sine waveform.
2. rate calculation device as claimed in claim 1, it is characterised in that the infrared lamp and the red globe lamp are sent respectively
Infrared light and red visible；The infrared light and the red visible that the optical pickup apparatus are received becomes in pulsation
Change；The AFE (analog front end) is processed to the infrared light and the red visible, obtains the intensity variation signal.
3. rate calculation device as claimed in claim 1, it is characterised in that the micro-control unit is analyzed and processes the light
Strength Changes signal；The intensity variation signal is converted into the signal of telecommunication by the sensor, obtains the change of pulse flow, and
The change of induction installation acceleration；The memory element is used for storing the intensity variation signal and the signal of telecommunication.
4. a kind of rate calculation method based on software filtering and data statisticss algorithm, it is characterised in that the method comprising the steps of：
S1, collection intensity variation signal；
S2, by software filtering algorithm, data statisticss algorithm and acceleration transducer pose discrimination algorithm process and optimize described
Intensity variation signal；
It is described by software filtering algorithm, data statisticss algorithm and acceleration transducer pose discrimination algorithm process and to optimize described
The step of intensity variation signal, includes：
S201, the software filtering algorithm are scaled using dynamic matrix, are filtered and are scaled the intensity variation signal, connect
The intensity variation signal of nearly sine wave；
S202, the positive and negative change for judging the sine waveform.
5. rate calculation method as claimed in claim 4, it is characterised in that step S1 includes step：
S101, opening red globe lamp, red signal light of sampling process infrared light ambient-signal data；
S102, the closing red globe lamp, HONGGUANG ambient signal of sampling process red signal light data；
S103, opening infrared lamp, infrared signal of sampling process HONGGUANG ambient-signal data；
S104, the closing infrared lamp, infrared light ambient signal of sampling process infrared signal data；
Obtain intensity variation signal.
6. rate calculation method as claimed in claim 5, it is characterised in that step S101～step S104 is adopted at each
In the sample cycle T time, circulation is completed successively, is 1/4T the time required to each step.
7. rate calculation method as claimed in claim 5, it is characterised in that step S202 is sentenced to sine waveform
It is disconnected, if the sine waveform amplitude is obvious, then when the sinusoidal wave data is when negative is changed into positive number, be denoted as a heart
Hop cycle；If the sine waveform amplitude is not obvious, it is impossible to judge the positive and negative alternate of its numerical value, then by the number
Algorithm and the acceleration transducer pose discrimination algorithm carry out real time data statistics to the intensity variation signal according to statistics
And analysis, dynamic regulation threshold value, the positive and negative change of waveform is judged again.
8. rate calculation method as claimed in claim 7, it is characterised in that the threshold value is according to the data statisticss algorithm
The data message of statistics, carries out dynamic regulation with reference to the placement state of heart rate device.
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| CN201510119088.3A CN104688214B (en) | 2015-03-18 | 2015-03-18 | Heart rate calculation device and method based on algorithms of software filter and data statistics |
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| TWI622380B (en) * | 2017-01-17 | 2018-05-01 | 正崴精密工業股份有限公司 | Physiological Signal Measuring Device and Blood Oxygen Calculation Method |
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