TY  - JOUR
PY  - 2019//
TI  - A wearable system to analyze the human arm for predicting injuries due to throwing
JO  - Conference proceedings - IEEE engineering in medicine and biology society
A1  - Hettiarachchi, Chirath
A1  - Kodithuwakku, Janith
A1  - Manamperi, Buddhishan
A1  - Ifham, Ahamed
A1  - Silva, Pujitha
SP  - 3297
EP  - 3301
VL  - 2019
IS  - 
N2  - There is limited understanding on factors that contribute to throwing related injuries that frequently occur in sports such as Baseball, Cricket and Javelin throwing.This preliminary study focuses on the development of a real time wearable system focusing on extracting key parameters related to potential upper arm injuries associated with the throwing action in the game of Cricket. A wearable system is developed to analyze Electromyography (EMG) signals for detecting muscle activity and Inertial Measurement Unit (IMU) data for monitoring the arm motion.The extracted parameters are then used for analysis, focusing on detecting established indicators of potential injuries. Additionally, an unsupervised learning algorithm is developed towards identifying novel relationships indicating potential injuries.<p />  <p>Language: en</p>
LA  - en
SN  - 1557-170X
UR  - http://dx.doi.org/10.1109/EMBC.2019.8857313
ID  - ref1
ER  -