A mobile cloud computing framework integrating multilevel encoding for performance monitoring in telerehabilitation
Li, Saiyi, Pham, Hai Trieu, Karunarathne, M. Sajeewani, Lee, Yee Siong, Ekanayake, Samitha W. and Pathirana, Pubudu N. 2015, A mobile cloud computing framework integrating multilevel encoding for performance monitoring in telerehabilitation, Mathematical problems in engineering, vol. 2015, Article ID 617840, pp. 1-14, doi: 10.1155/2015/617840.
Recent 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.
Field of Research
090305 Rehabilitation Engineering 090399 Biomedical Engineering not elsewhere classified
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