Adaptive FIR Filter Processing of Vibroarthrographic Signal

The knee is one of the most important and injured site in human body. Current evaluation of the knee joint status are based on imaging such as CT and MRI, which are sensitive to knee joint disorders and expensive too, and others include the semi- invasive procedures. In order to overcome these problems a vibroarthrography is introduced. The aims of the present study were to investigate the most suitable location for vibroarthrography measurements of the knee joint to distinguish a healthy knee from knee osteoarthritis.Vibroarthrography appear as an innovative and non-invasive approach to solve this problem. Mechanical vibratory signals arising from the defected knee joint can be recorded recurring to a tiny accelerometer. Healthy cartilage is smooth and slippery, producing minimum vibration while deteriorated cartilage is more irregular, producing additional vibrations. Vibrations generated by the friction of deteriorated articular surfaces are different in terms of frequency and amplitude originating distinct and representative vibroarthrographic signals which allows the differentiation of a healthy and a pathological knee. In this work, the normal and pathological knee vibrations is acquired and processed by LMS Adaptive filter and its frequencies is obtained. Citation: J. Prasad, Sri Ramakrishna Engineering College; B.Anusthika ,Sri Ramakrishna Engineering College; V.Dhivya ,Sri Ramakrishna Engineering College; D.Vyshali ,Sri Ramakrishna Engineering College. "Adaptive FIR Filter Processing of Vibroarthrographic Signal." Global Research and Development Journal For Engineering 25 2017: 38 - 46.