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A mobile cloud computing framework integrating multilevel encoding for performance monitoring in telerehabilitation
journal contribution
posted on 2015-01-01, 00:00 authored by S Li, Hai Trieu Pham, M S Karunarathne,, Yee Siong Lee, Samitha Ekanayake, Pubudu PathiranaPubudu PathiranaRecent years have witnessed a surge in telerehabilitation and remote healthcare systems blessed by the emerging low-cost wearable devices to monitor biological and biokinematic aspects of human beings. Although such telerehabilitation systems utilise cloud computing features and provide automatic biofeedback and performance evaluation, there are demands for overall optimisation to enable these systems to operate with low battery consumption and low computational power and even with weak or no network connections. This paper proposes a novel multilevel data encoding scheme satisfying these requirements in mobile cloud computing applications, particularly in the field of telerehabilitation. We introduce architecture for telerehabilitation platform utilising the proposed encoding scheme integrated with various types of sensors. The platform is usable not only for patients to experience telerehabilitation services but also for therapists to acquire essential support from analysis oriented decision support system (AODSS) for more thorough analysis and making further decisions on treatment.
History
Journal
Mathematical problems in engineeringVolume
2015Article number
Article ID 617840Pagination
1 - 14Publisher
Hindawi Publishing CorporationLocation
New York, N.Y.Publisher DOI
ISSN
1024-123XeISSN
1563-5147Language
engPublication classification
C Journal article; C1 Refereed article in a scholarly journalCopyright notice
2015, Saiyi Li et al.Usage metrics
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