Title :
A pilot study of activity recognition on rehabilitation exercise of frozen shoulder using wireless inertial sensor node
Author :
Lee, Kahyun ; Lin, Huiming ; Kan, Y. ; Chiang, S.
Author_Institution :
Dept. of Commun. Eng., Yuan Ze Univ., Chungli, Taiwan
Abstract :
This study establishes wireless sensor network (WSN) inertial sensor nodes (ISN) that comprise micro control unit, ZigBee-compatible radio frequency chip, tri-axial accelerometer, biaxial gyroscope, single-axial gyroscope, and a planar inverted-F type antenna on a four-layer printable circuit board with size of 40mm × 37mm × 2mm. Two wireless ISNs are attached on arm and wrist for measuring rehabilitation exercise of frozen shoulder. The measured data are sent wirelessly to a base node where a Matlab-based program is developed for retrieving packet, parsing packets, and recognizing motion data based on the artificial neural network (ANN) algorithm. Six rehabilitation exercises for frozen shoulder are measured by wearing two nodes on the wrist and the arm. Accelerations in three axes and the derived angle form a 4-tuple vector as the motor feature of employed recognition algorithm. As results, five of six exercises are successfully recognized with 85-90 % of accuracy rates but the complex one (i.e. the spiral rotation exercise) reached only around 60 %. The pilot study approves good feasibility of self-developed WSN ISNs to recognize rehabilitation exercises as well as contribute advanced applications for mobile or ubiquitous health care in the future.
Keywords :
Zigbee; accelerometers; biomechanics; biomedical electronics; gyroscopes; health care; medical computing; microcontrollers; mobile computing; neural nets; packet radio networks; patient rehabilitation; pattern recognition; printed circuits; wireless sensor networks; 4-tuple vector; Matlab-based program; WSN ISN; ZigBee-compatible radio frequency chip; activity recognition; artificial neural network algorithm; base node; biaxial gyroscope; four-layer printable circuit board; frozen shoulder; microcontrol unit; mobile health care; motion data recognition; motor feature; packet parsing; packet retrieval; planar inverted-F type antenna; recognition algorithm; rehabilitation exercise measurement; single-axial gyroscope; spiral rotation exercise; tri-axial accelerometer; ubiquitous health care; wireless ISN; wireless inertial sensor node; wireless sensor network; Acceleration; Artificial neural networks; Shoulder; Training; Vibrations; Wireless communication; Wireless sensor networks; ANN; WSN; frozen shoulder; inertial sensor node; mobile or ubiquitous health care; rehabilitation activity;
Conference_Titel :
Medical Information and Communication Technology (ISMICT), 2013 7th International Symposium on
Conference_Location :
Tokyo
Print_ISBN :
978-1-4673-5770-8
Electronic_ISBN :
2326-828X
DOI :
10.1109/ISMICT.2013.6521712