DocumentCode :
140206
Title :
iBEST: Intelligent balance assessment and stability training system using smartphone
Author :
Aung Aung Phyo Wai ; Pham Duy Duc ; Chan Syin ; Zhang Haihong
Author_Institution :
Neural & Biomed. Technol. Dept., A*STAR, Singapore, Singapore
fYear :
2014
fDate :
26-30 Aug. 2014
Firstpage :
3683
Lastpage :
3686
Abstract :
Patients with postural instability could lead to falls and injuries while walking due to balance disorders. So those patients need regular balance training and evaluation to improve and examine balance deficiencies. But many do not notice such balance issues; resulting lack of timely preventive measures. This shows the needs of affordable and accessible solution for balance training and assessment. So iBEST (intelligent Balance assessment and Stability Training) is proposed enabling to train and assess balance conveniently anywhere anytime. Moreover, therapists can remotely evaluate and manage their recovery progress. These benefits can be realized leveraging sensors from smartphone, cloud-based data analytics and web applications. iBEST employs sensorised automated balance assessment in digitizing Berg Balance Scale (BBS) clinical risk assessment tool. The initial feasibility study showed average accuracy of 90.22% using smartphone in classifying the specified BBS test items.
Keywords :
cloud computing; medical computing; mobile computing; patient monitoring; smart phones; Berg balance scale clinical risk assessment tool; balance disorders; cloud-based data analytics; iBEST; intelligent balance assessment and stability training; postural instability; recovery progress; remote evaluation; smart phone; web applications; Accuracy; Mobile communication; Senior citizens; Sensors; Stability analysis; Training;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2014.6944422
Filename :
6944422
Link To Document :
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