Title :
Instrumented Orthopaedics Analysis System
Author :
Senanayake, S. M. N. Arosha ; Chong Yuen Shen ; Chong, Johanna ; Sirisinghe, R.G.
Author_Institution :
Sch. of Eng., Monash Univ. Malaysian Campus
Abstract :
The system built consists of gait analysis system and gait recognition system. Gait analysis system is built attaching force sensing resistors into insole for foot analysis and wireless sensors are attached on ankle, kneecap (patella) and hip (pelvis) for lower extremity. Gait pattern recognition system is constructed using an embedded system with the capability of learning real time gait based on recurrent neural networks. In this investigation a systematic approach is undertaken to quantify the effects of varied interventions of legs and foot on the movement pattern of the lower extremity. Further, the relationship of these kinematics effects and the muscular activity of leg are analyzed. The prototype built is responsible to recognize features of orthopaedics issues of soccer players
Keywords :
embedded systems; gait analysis; mechanical engineering computing; medical computing; orthopaedics; patient rehabilitation; pattern recognition; recurrent neural nets; feature recognition; force sensing resistors; gait analysis system; gait pattern recognition system; instrumented orthopaedics analysis system; recurrent neural networks; soccer players; wireless sensors; Extremities; Foot; Force sensors; Instruments; Joining processes; Leg; Orthopedic surgery; Resistors; Sensor systems; Wireless sensor networks;
Conference_Titel :
Automation Science and Engineering, 2006. CASE '06. IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
1-4244-0310-3
Electronic_ISBN :
1-4244-0311-1
DOI :
10.1109/COASE.2006.326879
