DocumentCode :
595602
Title :
Wearable system for patient motor condition assessment and training monitoring
Author :
Kuusik, Alar ; Nomm, Sven ; Ovsjanski, S. ; Orunurm, L. ; Reilent, Enar
Author_Institution :
ELIKO Competence Centre, Tallinn, Estonia
fYear :
2013
fDate :
16-18 Jan. 2013
Firstpage :
192
Lastpage :
195
Abstract :
In this paper we describe an extendable point of care system for simultaneous motor rehabilitation (post-stroke and -arthroscopy) patient condition assessment and patient safety observations. Electronic linear and angular accelerometer sensors attached to the human upper or lower limbs gather information about performed therapeutic exercises. The measurement data processing of the vital sign sensors and accelerometers is done in the health hub device in real time with the patient feedback. The movement correctness evaluation and gait analysis is done with ANARX neural network based models. The system is implemented and tested. The evaluation of the test results is presented.
Keywords :
accelerometers; bioMEMS; biomedical measurement; gait analysis; health care; medical administrative data processing; medical disorders; neural nets; patient rehabilitation; wearable computers; ANARX neural network based models; angular accelerometer sensor; arthroscopy; gait analysis; health hub device; linear accelerometer sensor; measurement data processing; movement correctness evaluation; patient condition assessment; patient motor condition assessment; patient safety observation; point-of-care system; simultaneous motor rehabilitation; stroke; therapeutic exercises; training monitoring; wearable system; Accelerometers; Medical services; Micromechanical devices; Monitoring; Sensor systems; Training;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Point-of-Care Healthcare Technologies (PHT), 2013 IEEE
Conference_Location :
Bangalore
Print_ISBN :
978-1-4673-2765-7
Electronic_ISBN :
978-1-4673-2766-4
Type :
conf
DOI :
10.1109/PHT.2013.6461317
Filename :
6461317
Link To Document :
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