Research on physiological signal analysis based on clinical statistics and machine learning

Abstract

Neural network evaluation and decoding technology based on physiological signal analysis has become a hot research topic in the field of life and health. The decoding of physiological signals can enable people to break through physical limitations to communicate with the external environment, and can also enhance the effectiveness of the human body by evaluating people's cognitive and motor functions. Electroencephalogram (EEG), as a kind of physiological signal, has become a hot spot of much research due to its non-invasive, high time precision and strong explanatory characteristics. This paper summarizes the applied research based on physiological signal analysis such as EEG from three aspects of evaluation technology, human-computer interaction and clinical application, and looks forward to the development direction in the future.

A Comprehensive Survey of Brain-Computer Interface Technology in Healthcare: Research Perspectives

“…Signal Acquisition: This process begins with the signal acquisition from EEG or ECG experiment from the electrodes placed on the body (for ECG) or the scalp (for EEG). The electrical activities of brain and heart are represented by the signals [1,2]. 2.…”