title: iBEST: intelligent Balance assessment and Stability Training system using smartphone.
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.
authors.forename: Aung Aung Phyo
authors.initials: AA
authors.lastname: Wai
authors.forename: Pham Duy
authors.initials: PD
authors.lastname: Duc
authors.forename: Chan
authors.initials: C
authors.lastname: Syin
authors.forename: Haihong
authors.initials: H
authors.lastname: Zhang
mesh_terms: D000058:Accidental Falls / Q000517:prevention & control; D040421:Cell Phone; D000067917:Cloud Computing; D005240:Feasibility Studies; D005260:Female; D006801:Humans; D020407:Internet; D010808:Physical Examination / Q000379:methods*; D004856:Postural Balance / Q000502:physiology*; D018570:Risk Assessment; D016138:Walking