Knee Health Monitoring Through Emg using Ni-Data Acquisition
Khojiyev Aliakbar1, Muradov Rustam2, Khaydarov Tuygun Anvrovich3, Rajabov Nurmamat4, Utepov Burxon5
1Sharon I , Studen, B.Tech, Department Of Biomedical Engineering, SRM Institute Of Science Technology Tamil Nadu India..
2Aadhav I, Studen, B.Tech, Department Of Biomedical Engineering, SRM Institute Of Science Technology Tamil Nadu India.
3B. Prathick Singh D, Studen, B.Tech, Department Of Biomedical Engineering, SRM Institute Of Science Technology Tamil Nadu India.
4Muradi Lavanya Satyanarayan, Studen, B.Tech, Department Of Biomedical Engineering, SRM Institute Of Science Technology Tamil Nadu India.
5Anitha G, Assistant Proessor ,Department of Biomedical engineering, SRM Institute of Science and Technology Tamil Nadu India.
Manuscript received on September 23, 2019. | Revised Manuscript received on October 15, 2019. | Manuscript published on October 30, 2019. | PP: 6992-7000 | Volume-9 Issue-1, October 2019 | Retrieval Number: A2014109119/2019©BEIESP | DOI: 10.35940/ijeat.A2014.109119
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: EMG signals, EMG muscle V3 sensor, Vastus medialis, Gastrocnemius, dynamic analysis of knee flexor and extensor muscles, NI-DAQ.