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Signal Processing Methods for Sensors

A signal processing, sensor technology

Active Publication Date: 2018-11-27
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 Methods for Sensors
  • Signal Processing Methods for Sensors
  • Signal Processing Methods for Sensors

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0029] Such as Figures 1 to 15 , respectively collect 2 left arm signals, 2 right arm signals, and 2 left leg signals through 6 viscous electrode sensors, which can be recorded as LA2, LA3, RA2, RA3, LL2, and LL3 respectively. Afterwards, 15 different sets of 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 ECG data difference of each group is separately stored as a group of ECG data. After that, the spectral density coefficient (coefficient) is obtained through calculation. From Figure 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 sets of different ECG data. Afterwards, the ECG data difference values ​​of each group are separately stored as a group of ECG data. Due to the large number of fiber sensors, more raw ECG data can be obtained, and more optimal 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 text description in conjunction with the accompanying drawings that after adopting the present invention, it 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. The spectral density coefficient is introduced as a reference to obtain better ECG signals.

[0035] 3. The implementation is simple and ...

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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 systems of this type 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 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. [0005] In view of the above-mentioned defects, the designer actively researches and innovates, adopts a redundant method to obtain the relatively best signal, obtains a signal processing me...

Claims

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Application Information

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