Wearable Peripheral Neuropathy Detection System based on Surface Electromyography

Abstract

Peripheral neuropathy is a condition that affects the normal activity of the nerves of the peripheral nervous system. Patients with peripheral neuropathy may have tingling, numbness, unusual sensations, weakness, or burning pain in the affected area. The prevalence of this ailment ranges from 50% in Turkey, 22-600% in the Middle East, and 69% in Pakistan. Our aim is to devise a simple and reliable method to detect neuropathy. The Electromyography (EMG) signal can be used to analyze medical abnormalities and to analyze the bio medics of the human body. The signal carries valuable information regarding the nerve system. The electromyogram will be used to record the electrical activity through the surface electrodes applied to the skin. This work aims to extract the EMG signal through various modules: pre-amplification, frequency response analysis and processing of the signal extracted from both healthy and the ones with the tremor. At the end, we will be able to differentiate a healthy person from the one suffering from the ailment. It is supposed that the analysis of EMG signal will have wider application and research of tremor detection.