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Electroneurographic signal compression sensing processing method and circuit

A technology of compressed sensing and processing methods, applied in the field of neural electrical signal processing, which can solve problems such as poor reconstruction performance and uneven connections, and achieve the effect of less calculation and low hardware resource consumption

Inactive Publication Date: 2019-06-28
JIANGNAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problem that the connection between the peak and the non-peak of the neuroelectric signal after processing is not smooth, resulting in poor reconstruction perfor

Method used

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  • Electroneurographic signal compression sensing processing method and circuit
  • Electroneurographic signal compression sensing processing method and circuit
  • Electroneurographic signal compression sensing processing method and circuit

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Experimental program
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Embodiment 1

[0050]This embodiment provides a neuroelectric signal compression sensing processing circuit, see figure 1 , the neural electrical signal compressive sensing processing circuit 100 includes:

[0051] Clock reset module 110, peak detection module 120, signal storage module 130, signal processing module 140 and matrix generation module 150, described clock reset module 110 and described peak detection module 120, signal storage module 130, signal processing module 140 and The matrix generation module 150 is connected, the peak detection module 120, the signal storage module 130 and the signal processing module 140 are connected in sequence, and the matrix generation module 150 is connected to the signal processing module 140;

[0052] The clock reset module 110 is used to provide a global clock and reset operation to the peak detection module 120, the signal storage module 130, the signal processing module 140 and the matrix generation module 150;

[0053] The spike detection m...

Embodiment 2

[0076] This embodiment provides a neural electrical signal compressive sensing processing method, the method comprising:

[0077] S110. Set the clock frequency and compression ratio, wherein the compression ratio Indicates that every N nerve electrical signal data is compressed into M pieces, N>M;

[0078] S120. According to the clock frequency, use a nonlinear energy operator NEO algorithm, an absolute value method, or a stable wavelet transform product method to detect spikes;

[0079] Spike detection of neural electrical signals;

[0080] S130. Store the neural electrical signal according to the clock frequency, compression ratio, and peak detection conditions;

[0081] S140. Compress the stored neural electrical signal according to the clock frequency, compression ratio, and peak detection conditions, and store the compressed signal;

[0082] Specifically, the global clock provided by the clock reset module is provided externally, and one of 25kHz and 30kHz can be sele...

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Abstract

The invention discloses an electroneurographic signal compression sensing processing method and an electroneurographic signal compression sensing processing circuit, which belongs to the technical field of electroneurographic signal processing. By means of compressing all the electroneurographic signals in the current data compression section containing the peak, the current data compression section refers to N electroneurographic signal data where the detected peak exists, and the electroneurographic signals of the current data compression section without the peak are removed, so that the data of the time period in which the peak is positioned are all output, the peak signals in the electroneurographic signals are relatively completely retained, the problem of the poor reconfiguration performance due to the uneven connection between peak and non-peak of electroneurographic signals. is effectively solved; in addition, by means of the device, subtraction and comparison operations needed to find the maximum difference between adjacent sampling points in the effective potential signal segment in the peak alignment phase in the traditional electroneurographic signal processing is avoided, therefore, the calculation amount of the circuit is less and the hardware resource consumption is lower.

Description

technical field [0001] The invention relates to a neural electrical signal compression sensing processing method and a circuit, and belongs to the technical field of neural electrical signal processing. Background technique [0002] The wireless body area network is a wireless network system composed of wearable or embeddable sensor nodes, central nodes, remote servers and other related devices centered on the human body. Its operation process can be described as follows: wearable or embeddable sensor nodes The bioelectric signal is collected and sent to the central node wirelessly; then, the central node processes the collected signal or sends it directly to the remote server; finally, the remote server processes and evaluates the received signal. [0003] Wearable or embeddable sensor nodes use battery power and send signals wirelessly, their energy is limited and wireless transmission consumes a lot of power. In order to reduce the load of wireless transmission, data com...

Claims

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Application Information

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IPC IPC(8): A61B5/00
Inventor 虞致国魏朋博顾晓峰
Owner JIANGNAN UNIV
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