Physiological Signal Processing System and Noise Filtering Method

Abstract

The invention relates to a physiological signal processing system and a noise filtering method thereof. The physiological signal processing system mainly comprises a sensing device and a filtering device, wherein a user wears the sensing device which is connected with the filtering device; the filtering device receives a physiological signal of the user and a shaking signal, and carries out a noise judgment algorithm to obtain various time intervals containing distortion noises according to the shaking signal; the filtering device filters out the distortion noises corresponding to the various time intervals in the physiological signal according to the obtained various time intervals, and compensates the physiological signal after the distortion noises are filtered out so as to reduce characteristic errors generated by influence of the distortion noises when the physiological signal is estimated; and therefore, when the user drives or moves, the time of the distortion noises is obtained through the noise judgment algorithm, and the distortion noises of the physiological signal are filtered out to achieve the purpose of improving accuracy of features of the physiological signal.

Description

technical field [0001] The present invention relates to a signal processing system and method, in particular to a physiological signal processing system and a noise filtering method thereof. Background technique [0002] With the rapid development of science and technology, some physiological states of human beings can be analyzed and monitored by wearable technology products (such as smart watches), which are often used in sports, medical treatment, sleep, vehicle driving and other fields. Wearing a smart watch with an optical sensor, the smart watch can sense the user's activity when exercising or walking, and at the same time detect the user's physiological signals (such as photoplethysmogram (PPG) signals) , and then analyze the physiological signal to obtain the physiological parameters of the user's heart rate variability (HRV). Therefore, the higher the accuracy of the obtained physiological signal, the higher the accuracy of the heart rate variability, which can help...

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Problems solved by technology

[0004] It can be known from the above-mentioned prior art that wearable technological products can detect the user's physiological signals, and the higher the accuracy of obtaining the physiological signals, the more it helps to improve the accuracy of grasping the user's physiological state. It is quite easy to be distorted by vibration, noise or user's body disturbance, etc., and the data volume of physiological signals is large. If it is necessary to improve the accuracy, the analysis and calculation will be relatively time-consuming. Although a series of digital signal processing technologies are used to improve the accuracy , but the more complex mathematical analysis method is not only time-consuming, but also difficult to meet the needs of real-time processing, especially for vehicle driving, if a complex digital signal processor is used to completely remove noise and achieve signal restoration, the calculation time will be too long and time-consuming Immediate physiological analysis of the driver cannot be achieved, therefore, it is indeed necessary to further propose a better solution

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