CN105769172B - Signal processing method suitable for sensor - Google Patents

Signal processing method suitable for sensor Download PDF

Info

Publication number
CN105769172B
CN105769172B CN201610103911.6A CN201610103911A CN105769172B CN 105769172 B CN105769172 B CN 105769172B CN 201610103911 A CN201610103911 A CN 201610103911A CN 105769172 B CN105769172 B CN 105769172B
Authority
CN
China
Prior art keywords
signal
group
data
ll3
la3
Prior art date
Application number
CN201610103911.6A
Other languages
Chinese (zh)
Other versions
CN105769172A (en
Inventor
娈冲嘲
殳峰
Original Assignee
苏州脉吉医疗技术有限公司
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by 苏州脉吉医疗技术有限公司 filed Critical 苏州脉吉医疗技术有限公司
Priority to CN201610103911.6A priority Critical patent/CN105769172B/en
Publication of CN105769172A publication Critical patent/CN105769172A/en
Application granted granted Critical
Publication of CN105769172B publication Critical patent/CN105769172B/en

Links

Abstract

The present invention relates to a kind of signal processing methods suitable for sensor, acquire left arm signal, right arm signal, left leg signal respectively by several sensors.Its main feature is that by carrying out data extraction after data export, and by several data signal source combination of two, stored its difference as one group of electrocardiogram (ECG) data respectively.Finally, spectral density coefficient is obtained by power spectral-density analysis, using coefficient the maximum as Optimal Signals.More preferred data can be obtained, for the wearing monitoring system of infant as a result, convenient for monitoring.

Description

Signal processing method suitable for sensor

Technical field

The present invention relates to a kind of signal processing method more particularly to a kind of signal processing methods suitable for sensor.

Background technique

Adult, infant vital sign parameter signals generally include:Electrocardio (ECG), breathing, body temperature and blood oxygen saturation (SpO2) etc..The major defect of current such system is:

1) acquisition signal is single, and only simple acquisition, which lacks, compares preferred with data, leads to final electrocardiogram (ECG) data Error is larger.

2) it after monitoring object is turned over, be easy to cause signal acquisition error big, cannot achieve comparison corrigendum, lead to the final heart There is error in electric data, influence to diagnose.

In view of the above shortcomings, the designer, is actively subject to research and innovation, obtained by the way of redundancy relatively best Signal, obtain the signal processing method for being suitable for sensor, make it with more the utility value in industry.

Summary of the invention

In order to solve the above technical problems, the object of the present invention is to provide a kind of signal processing methods suitable for sensor.

Signal processing method suitable for sensor of the invention, acquired respectively by several sensors left arm signal, Right arm signal, left leg signal comprising following steps:Step 1, data import:The initial data in storage medium will be located to read It takes out.Step 2, signal extraction:By several data signal source combination of two, distinguish its difference as one group of electrocardiogram (ECG) data Storage.Step 3, power spectral-density analysis:Power spectral density (PSD) is carried out respectively to every group of electrocardiogram (ECG) data to calculate.Step 4, To every group of electrocardiosignal, spectral density coefficient is obtained, coefficient the maximum is the Optimal Signals in several groups electrocardiosignal.Above-mentioned mistake Cheng Zhong, the left arm signal of description, right arm signal, left leg signal etc. are not placed on leg by taking left leg signal as an example, but In the art is sanctified by usage.

Further, the above-mentioned signal processing method suitable for sensor, wherein the storage medium is disk.

Further, the above-mentioned signal processing method suitable for sensor, wherein in the step 2, at least adopt Collect 2 left arm signals, 2 right arm signals, 2 left leg signals, is denoted as LA2, LA3, RA2, RA3, LL2, LL3, Ge Gexing respectively It number is combined with each other, obtains 15 groups of different electrocardiogram (ECG) datas, including RA2-LA2, RA2-LA3, LA2-RA3, LL2-RA3, RA3- LA3、RA2-LL2、RA2-LL3、LA2-LA3、LL2-LA3、RA3-LL3、RA2-RA3、LA2-LL2、LA2-LL3、LL2-LL3、 LA3-LL3。

Further, the above-mentioned signal processing method suitable for sensor, wherein in the step 4, count respectively Its sum of spectral density in specific frequency domain is calculated, first group of data is denoted as, calculates it in the spectral density summation of full frequency-domain section, It is denoted as second group of data, the quotient of first group of data and second group of data of every group of signal constitutes spectral density coefficient.

Further, the above-mentioned signal processing method suitable for sensor, wherein the frequency range of the specific frequency domain is 1Hz to 60Hz.

Further, the above-mentioned signal processing method suitable for sensor, wherein the frequency range of the specific frequency domain is 1.3Hz to 47Hz.

Still further, the above-mentioned signal processing method suitable for sensor, wherein the sensor is sticky electrode Sensor, or it is fiber sensor.

According to the above aspect of the present invention, the present invention has at least the following advantages:

1, it can be combined according to the left arm signal of acquisition, right arm signal, left leg signal, obtain the more comparable heart Electric data.

2, it introduces spectral density coefficient to refer to the most, preferable ECG signal can be obtained.

3, implementation is simple and convenient, is particularly suitable for the wearing monitoring system for infant.

The above description is only an overview of the technical scheme of the present invention, in order to better understand the technical means of the present invention, And can be implemented in accordance with the contents of the specification, the following is a detailed description of the preferred embodiments of the present invention and the accompanying drawings.

Detailed description of the invention

Fig. 1-Figure 15 is specifically for RA2-LA2, RA2-LA3, LA2-RA3, LL2-RA3, RA3-LA3, RA2-LL2, RA2- The electrocardio number of LL3, LA2-LA3, LL2-LA3, RA3-LL3, RA2-RA3, LA2-LL2, LA2-LL3, LL2-LL3, LA3-LL3 According to schematic diagram.

Specific embodiment

With reference to the accompanying drawings and examples, specific embodiments of the present invention will be described in further detail.Implement below Example is not intended to limit the scope of the invention for illustrating the present invention.

Such as the signal processing method suitable for sensor of Fig. 1 to 15,2 left arm letters are acquired respectively by sensor Number, 2 right arm signals, 2 left leg signals, LA2, LA3, RA2, RA3, LL2, LL3 can be denoted as respectively, unusual place is Include the following steps:

Firstly, the centralized processing in order to realize data needs to carry out leading for data using existing hardware system come operation Enter.Its process is to read out the initial data being located in storage medium.In view of can effectively promote the convenient of implementation Property, disk can be used and constitute storage medium.Certainly, it is not limited to which disk, everything can participate in setting for data communication on the market Standby or device, it is all admissible.

Later, signal extraction is carried out to the data of importing.During this period, it by several data signal source combination of two, obtains 15 groups of different electrocardiogram (ECG) datas, including RA2-LA2, RA2-LA3, LA2-RA3, LL2-RA3, RA3-LA3, RA2-LL2, RA2- LL3,LA2-LA3,LL2-LA3,RA3-LL3,RA2-RA3,LA2-LL2,LA2-LL3,LL2-LL3,LA3-LL3.Meanwhile it will be each The electrocardiogram (ECG) data difference of group stores respectively as one group of electrocardiogram (ECG) data.

Then, power spectral-density analysis is carried out, power spectral density (PSD) is carried out to every group of electrocardiogram (ECG) data respectively and is calculated.

Then, to every group of electrocardiosignal, spectral density coefficient is obtained.Specifically, it is calculated separately in specific frequency domain The sum of spectral density, be denoted as first group of data, calculate it in the spectral density summation of full frequency-domain section, be denoted as second group of data. The quotient of first group of data and second group of data of every group of signal as a result, constitutes spectral density coefficient.Specifically, in order to realize The optimization of data processing effectively evades the data of obvious exception, reduces interminable calculating, the frequency range of the specific frequency domain of selection is 1Hz to 60Hz.Also, when actual implementation, which can adjust according to the actual clinical experience of user It is whole, it can also preferably be 1.3Hz to 47Hz.

Finally, choosing coefficient the maximum is the Optimal Signals in several groups electrocardiosignal.In view of the optimization of implementation, can incite somebody to action Above-mentioned calculation method collects to complete using computer program, is handled by the software of final molding, very big optimization processing Efficiency.Meanwhile using this method after, be suitable for the signal of the multiple sensors such as sticky electrode sensor, fiber sensor Optimization processing.

Working principle of the present invention is as follows:

Embodiment one

Such as Fig. 1 to 15,2 left arm signals, 2 right arm signals, 2 are acquired respectively by 6 sticky electrode sensors Left leg signal, can be denoted as LA2, LA3, RA2, RA3, LL2, LL3 respectively.Later, 15 groups of different electrocardiogram (ECG) datas are obtained, including RA2-LA2、RA2-LA3、LA2-RA3、LL2-RA3、RA3-LA3、RA2-LL2、RA2-LL3、LA2-LA3、LL2-LA3、RA3- LL3,RA2-RA3,LA2-LL2,LA2-LL3,LL2-LL3,LA3-LL3.Using the electrocardiogram (ECG) data difference of each group as one group of electrocardio Data store respectively.Later, and by calculating spectral density coefficient (coefficient) is obtained.It would know that from Figure 11, frequency spectrum Bulkfactor is 0.9994, is peak, it may be determined that is best ECG signal.

Embodiment two

3 left arm signals, 3 right arm signals, 3 left leg signals are acquired respectively by 9 fiber sensors, are obtained several The different electrocardiogram (ECG) data of group.Later, it is stored the electrocardiogram (ECG) data difference of each group as one group of electrocardiogram (ECG) data respectively.Due to transmitting fiber tow Sensor quantity is more, and retrievable original electrocardiographicdigital data are just more, can obtain more preferably result.In this way, being obtained by finally calculating Spectral density coefficient is taken, it is highest to choose numerical value.

It can be seen from the above written description and the attached drawings that after applying the present invention, gathering around and having the following advantages:

1, it can be combined according to the left arm signal of acquisition, right arm signal, left leg signal, obtain the more comparable heart Electric data.

2, it introduces spectral density coefficient to refer to the most, preferable ECG signal can be obtained.

3, implementation is simple and convenient, is particularly suitable for the wearing monitoring system for infant.

The above is only a preferred embodiment of the present invention, it is not intended to restrict the invention, it is noted that for this skill For the those of ordinary skill in art field, without departing from the technical principles of the invention, can also make it is several improvement and Modification, these improvements and modifications also should be regarded as protection scope of the present invention.

Claims (1)

1. being suitable for the signal processing method of sensor, left arm signal, right arm signal, a left side are acquired respectively by several sensors Leg signal, it is characterised in that include the following steps:
Step 1, data import:The initial data being located in storage medium is read out;
Step 2, signal extraction:By several data signal source combination of two, deposited its difference as one group of electrocardiosignal respectively Storage, at least acquisition 2 left arm signals, 2 right arm signals, 2 left leg signals, be denoted as respectively LA2, LA3, RA2, RA3, LL2, LL3, each signal are combined with each other, and obtain 15 groups of different electrocardiosignals, including RA2-LA2, RA2-LA3, LA2-RA3, LL2- RA3、RA3-LA3、RA2-LL2、RA2-LL3、LA2-LA3、LL2-LA3、RA3-LL3、RA2-RA3、LA2-LL2、LA2-LL3、 LL2-LL3,LA3-LL3;
Step 3, power spectral-density analysis:Power spectral density calculating is carried out respectively to every group of electrocardiosignal;
Step 4 obtains spectral density coefficient to every group of electrocardiosignal, and coefficient the maximum is optimal in several groups electrocardiosignal Signal,
In the step 4, spectral density the sum of of the every group of electrocardiosignal in specific frequency domain is calculated separately, first group of number is denoted as According to calculating every group of electrocardiosignal in the spectral density summation of full frequency-domain section, be denoted as second group of data, first group of number of every group of signal According to the quotient with second group of data, spectral density coefficient is constituted, the frequency range of the specific frequency domain is 1.3Hz to 47Hz;
The storage medium is disk, and the sensor is sticky electrode sensor, or is fiber sensor.
CN201610103911.6A 2016-02-25 2016-02-25 Signal processing method suitable for sensor CN105769172B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610103911.6A CN105769172B (en) 2016-02-25 2016-02-25 Signal processing method suitable for sensor

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610103911.6A CN105769172B (en) 2016-02-25 2016-02-25 Signal processing method suitable for sensor

Publications (2)

Publication Number Publication Date
CN105769172A CN105769172A (en) 2016-07-20
CN105769172B true CN105769172B (en) 2018-11-27

Family

ID=56402984

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610103911.6A CN105769172B (en) 2016-02-25 2016-02-25 Signal processing method suitable for sensor

Country Status (1)

Country Link
CN (1) CN105769172B (en)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101657151A (en) * 2007-04-23 2010-02-24 北京超思电子技术有限责任公司 Handheld electrocardiograph with neutral electrode
CN103002800A (en) * 2010-05-18 2013-03-27 佐尔医药公司 Wearable ambulatory medical device with multiple sensing electrodes
CN104434311A (en) * 2013-09-13 2015-03-25 深圳迈瑞生物医疗电子股份有限公司 Physiological parameter processing method and system and monitoring and nursing equipment

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9706945B2 (en) * 2014-03-25 2017-07-18 General Electric Company Respiration rate determination in impedance pneumography

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101657151A (en) * 2007-04-23 2010-02-24 北京超思电子技术有限责任公司 Handheld electrocardiograph with neutral electrode
CN103002800A (en) * 2010-05-18 2013-03-27 佐尔医药公司 Wearable ambulatory medical device with multiple sensing electrodes
CN104434311A (en) * 2013-09-13 2015-03-25 深圳迈瑞生物医疗电子股份有限公司 Physiological parameter processing method and system and monitoring and nursing equipment

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
Exploitation of the Redundancy of the Conventional Limb Lead Electrocardiograms for Prolongation of the Record Length;Pentti M. Rautaharju et al;《Journal of Electrocardiology》;19811231;第14卷(第1期);39-42 *

Also Published As

Publication number Publication date
CN105769172A (en) 2016-07-20

Similar Documents

Publication Publication Date Title
Orphanidou et al. Signal-quality indices for the electrocardiogram and photoplethysmogram: Derivation and applications to wireless monitoring
DE112010004682T5 (en) Calibration for multi-level physiological monitors
US8818748B2 (en) Posture sensor automatic calibration
US9681825B2 (en) Wireless electrode arrangement and method for patient monitoring via electrocardiography
US10327665B2 (en) Monitoring system
Park et al. Hierarchical support vector machine based heartbeat classification using higher order statistics and hermite basis function
US10477354B2 (en) Automated detection and configuration of wearable devices based on on-body status, location, and/or orientation
EP1538977A2 (en) Apparatus for monitoring chf patients using bio-impedance technique
US20120330179A1 (en) Electrode contact-quality evaluation
US8972000B2 (en) Multi-function health monitor
Ieong et al. A 0.83-$\mu {\rm W} $ QRS Detection Processor Using Quadratic Spline Wavelet Transform for Wireless ECG Acquisition in 0.35-$\mu {\rm m} $ CMOS
JP6181146B2 (en) Real-time QRS detection using adaptive threshold
CN104812296A (en) Wearable cardiac monitor
CN104523263B (en) Pregnant and lying-in women's health monitoring system based on mobile Internet
CN104873186B (en) A kind of wearable artery detection device and its data processing method
CN201379558Y (en) Healthy home system
CN103501694A (en) Apparatus and method for measuring physiological signal quality
CN101152081A (en) Method and apparatus with reduced electrode system specific ecg interpretation
CA2609111A1 (en) A method and apparatus for performing impedance measurements in accordance with determining an electrode arrangement using a displayed representation
Hernandez et al. Biowatch: estimation of heart and breathing rates from wrist motions
CN103720469B (en) Wearable type dynamitic maternal fetus electrocardio-detecting device
CN103271727B (en) Analyzing achieve estrus animal health and classification of the flexible sensing device
CN104224147A (en) Wireless portable human health and sleep quality monitor
Boichat et al. Wavelet-based ECG delineation on a wearable embedded sensor platform
CN102908135A (en) ECG diagnosis system and operating method of ECG diagnosis system

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
CB02 Change of applicant information
CB02 Change of applicant information

Address after: Taicang City, Suzhou City, Jiangsu Province, and 215411 Metro Jianxiong Road No. 20

Applicant after: Suzhou Mai Ji Medical Technology Co., Ltd.

Address before: Taicang City, Suzhou City, Jiangsu Province, and 215411 Metro Jianxiong Road No. 20

Applicant before: JIANGSU SIWEISEN NETWORK TECHNOLOGY CO., LTD.

GR01 Patent grant
GR01 Patent grant