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Signal processing method applicable to sensors

A signal processing and sensor technology, applied in the field of signal processing, can solve the problems of lack of comparison and data optimization, ECG data error, affecting diagnosis, etc., and achieve the effect of simple and convenient implementation

Active Publication Date: 2016-07-20
SUZHOU MAGIKARE MEDICAL TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] 1) The acquisition signal is single, and the simple acquisition lacks comparison and data optimization, resulting in large errors in the final ECG data
[0004] 2) After the monitoring object turns over, it is easy to cause large signal acquisition errors, and it is impossible to achieve comparison correction, resulting in errors in the final ECG data and affecting diagnosis

Method used

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  • Signal processing method applicable to sensors
  • Signal processing method applicable to sensors
  • Signal processing method applicable to sensors

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0029] Such as Figure 1 to 15 , Collect 2 left arm signals, 2 right arm signals, and 2 left leg signals through 6 viscous electrode sensors, which can be marked as LA2, LA3, RA2, RA3, LL2, LL3. After that, 15 groups of different ECG data were acquired, 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. The difference of the ECG data of each group is stored as a group of ECG data. After that, the spectral density coefficient (coefficient) is obtained through calculation. From Picture 11 It can be known that its spectral density coefficient is 0.9994, which is the highest value and can be determined as the best ECG signal.

Embodiment 2

[0031] Collect 3 left arm signals, 3 right arm signals, and 3 left leg signals through 9 fiber sensors to obtain several groups of different ECG data. After that, the difference of the ECG data of each group is stored as a group of ECG data. Due to the large number of fiber sensors, more raw ECG data can be obtained, and more preferable results can be obtained. In this way, the spectral density coefficient is obtained through the final calculation, and the one with the highest value can be selected.

[0032] It can be seen from the above textual expressions combined with the drawings that the present invention has the following advantages:

[0033] 1. It can be combined according to the obtained left arm signal, right arm signal, and left leg signal to obtain more comparable ECG data.

[0034] 2. Introduce the spectral density coefficient as the most reference to obtain a better ECG signal.

[0035] 3. Simple and convenient to implement, especially suitable for wearable monitoring s...

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Abstract

The invention relates to a signal processing method applicable to sensors.The multiple sensors collect a left arm signal, a right arm signal and a left leg signal respectively.The signal processing method is characterized by comprising the steps that data extraction is performed after data is exported, every two of multiple data signal sources are combined, and the difference between values of every two data signal sources is adopted as a set of electrocardio data to be stored; finally, spectrum density coefficients are obtained through power spectrum density analysis, and the signal with the largest coefficient is used as the optimal signal.Accordingly, preferential data can be obtained through a wearable monitoring system for infants, and monitoring is convenient.

Description

Technical field [0001] The invention relates to a signal processing method, in particular to a signal processing method suitable for sensors. Background technique [0002] The vital signs signals of adults, infants and young children usually include: electrocardiogram (ECG), respiration, body temperature and blood oxygen saturation (SpO2), etc. The main disadvantages of current such systems are: [0003] 1) The acquisition signal is single, and the simple acquisition lacks comparison and data optimization, resulting in large errors in the final ECG data. [0004] 2) After the monitored object turns over, it is easy to cause large errors in signal acquisition, and it is impossible to achieve comparison correction, resulting in errors in the final ECG data and affecting diagnosis. [0005] In view of the above-mentioned shortcomings, the designer actively researches and innovates, uses redundant methods to obtain the relatively best signal, obtains the signal processing method suitable...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0402A61B5/00
CPCA61B5/6824A61B5/6828A61B5/318
Inventor 殳峰
Owner SUZHOU MAGIKARE MEDICAL TECH CO LTD