Patient Healthcare System (PHS)

Abstract

EMG based “Patient Healthcare System (PHS)” is a healthcare system which helps the patients who are suffering from any serious illness and cannot move on their own, to communicate their basic needs to their caretakers. The functioning of human body is captivating and enchanting activity. Motion ofathe human body is a perfect assimilation of the brain , nervous system, and muscles. Our system acquires the EMG signal originated from brain from the healthy muscle of the patient’s body. After the acquisition of the EMG signal this healthcare system removes noises through various techniques of signal processing like rectification, amplification, and filtration. When the noise is removed the signal is segmented on the basis of time. The next step is feature extraction from the segments of the EMG signals. The values of the features are compared with the dataset already present for different gestures of muscle by the MATLAB code. The values of these features generate different messages regarding the patient’s needs for the caretaker through GSM. In this fast pace of life, it is difficult for people to be constantly available for their near ones who might need them while they are suffering from any serious illness. EMG based “Patient Healthcare System” is very helpful for those patients who cannot communicate their needs to their caretakers who are far away. This project is a good step towards the Human Computer Interaction (HCI) because we are linking biomedical signals i.e. EMG signals to the computer for processing.