Title :
Determining Strength of Muscle Contraction Using Electromyogram
Author :
Abbate, Kaitlin ; Franklin, Thomas ; Rosenberger, Maik ; Chabot, Eugene ; Ying Sun
Author_Institution :
Dept. of Electr., Comput., & Biomed. Eng., Univ. of Rhode Island, Kingston, RI, USA
Abstract :
The purpose of this study is to detect forearm muscle contraction strength through use of electromyographic signals. Using a C coding software program, an algorithm is established to first detect an electromyographic signal and then to determine the strength of contraction of the muscle. A PIC microprocessor and printed circuit board (PCB) are also used to implement this task. Specifically, the amplitude of each contraction is studied to determine a weak, medium, or strong contraction type. This system can be used towards making objects (such as a wheelchair) move with different accelerations based on the strength of contraction of some muscle on the body.
Keywords :
biomechanics; biomedical electronics; electromyography; medical signal detection; microprocessor chips; printed circuits; C coding software program; PCB; PIC microprocessor; acceleration; electromyographic signal detection; forearm muscle contraction strength; printed circuit board; wheelchair; Acceleration; Biomedical engineering; Force; Light emitting diodes; Muscles; Sun; Wheelchairs;
Conference_Titel :
Bioengineering Conference (NEBEC), 2013 39th Annual Northeast
Conference_Location :
Syracuse, NY
Print_ISBN :
978-1-4673-4928-4
DOI :
10.1109/NEBEC.2013.17