Biological signal analysis and processing method and device and equipment

Abstract

The invention discloses a biological signal analysis and processing method. The method comprises the steps of obtaining biological signal sampled data through a sensor; determining accumulated data during sampling last time, and according to the accumulated data and the sampled data, extracting an effective component in the sampled data in a preset digit fixed point integer mode; according to thesignals collected by the sensor, determining digital filter parameters, performing convolution operation on dispersed effective components and the determined digital filter, and filtering the effective components; according to the filtered data slope, calculating a parameter value of the biological signals. Due to the preset digit fixed point integer mode, the effective components in the sampled data are extracted, then, convolution operation is performed on the dispersed effective components and the determined filter, no floating point calculation is needed, the requirement for a hardware system is low, and therefore biological signal analysis and processing can be completed by adopting a low-power-consumption processor, the hardware cost is lowered, and the hardware complexity is lowered.

Description

technical field [0001] The present application belongs to the field of signal processing, and in particular relates to a method, device and device for analyzing and processing biological signals applied to low-power wearable devices. Background technique [0002] In the fields of sports medicine research and clinical diagnosis, it is often necessary to monitor various biological signals of the human body for a long time. In the traditional human biological signal collection equipment, the measurement terminal attached to the human body is only responsible for the collection of analog signals, and the data processing is handed over to the host computer with powerful computing capabilities. [0003] In recent years, with the development of smart wearable technology and human biosensors, more and more human biological signals can be collected by small wearable devices, and the amount of signals that can be collected is also increasing. Signal processing needs to be done on the...

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Problems solved by technology

[0004] In view of this, the embodiment of the present application provides a biological signal analysis and processing method, device, and equipment to solve the problem that the analysis and processing algorithms in the prior art are generally relatively complicated, and low-power processors cannot be selected to process biological signals.

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