Knee health monitoring through emg using Ni-data acquisition

Abstract

Knee joint is prominent joint, giving support to the entire body. Problems related to the knee joint such as fracture, genetic disorders, Ligament tear, and diseases like osteoarthritis etc. leads to Knee joint health problems. The adopted methodologies are X-Ray, CT, and MRI etc.This all requires periodical checkup and evaluated only when the person is having problem with the Knee joint. Continuous monitoring knee health is important and helpful for the needy. This papers aims to develop knee health monitoring device with the help of EMG signal which is acquired through vastus medialis and gastrocnemius muscles. These two are important muscles which are giving support to the knee joint. The two major skeletal muscles are investigated on the basis of their muscle reflection by giving different dynamic motions. This study includes adults, age ranging from 18-30 and aged adult from 50-60.The EMG signals are taken from both the legs by using Muscle V3 sensor.NI-DAQ are used to acquire the signals. The result shows that there is a significant variance in the amplitude of the EMG signals with respect to the increasing age, the strength of the muscle signals which is the base for stability of the knee joint movement have been focussed in the results.