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25228 Personalized Coaching Systems to support healthy behavior in people with chronic conditions
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Hermens, H.J. and op den Akker, H. and Tabak, M. and Wijsman, J.L.P. and Vollenbroek-Hutten, M.M.R. (2014) Personalized Coaching Systems to support healthy behavior in people with chronic conditions. Journal of electromyography and kinesiology, 24 (6). pp. 815-826. ISSN 1050-6411 *** ISI Impact 1,530 ***

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Chronic conditions cannot be cured but daily behavior has a major effect on the severity of secondary problems and quality of life. Changing behavior however requires intensive support in daily life, which is not feasible with a human coach. A new coaching approach – so-called Personal Coaching Systems (PCSs) – use on-body sensing, combined with smart reasoning and context-aware feedback to support users in developing and maintaining a healthier behavior. Three different PCSs will be used to illustrate the different aspects of this approach:

(1) Treatment of neck/shoulder pain. EMG patterns of the Trapezius muscles are used to estimate their level of relaxation. Personal vibrotactile feedback is given, to create awareness and enable learning when muscles are insufficiently relaxed.
(2) Promoting a healthy activity pattern. Using a 3D accelerometer to measure activity and a smartphone to provide feedback. Timing and content of the feedback are adapted real-time, using machine-learning techniques, to optimize adherence.
(3) Management of stress during daily living. The level of stress is quantified using a personal model involving a combination of different sensor signals (EMG, ECG, skin conductance, respiration).

Results show that Personal Coaching Systems are feasible and a promising and challenging way forward to coach people with chronic conditions.

Item Type:Article
Research Group:EWI-BSS: Biomedical Signals and Systems
Research Program:MIRA-Neural and Motor Systems, CTIT-ASSIST: Applied Science of Services for Information Society Technologies
Research Project:MYOTEL: MYOfeedback based TELetreatment service, HolstStress: Ambulante stressmeting met body area network, IS-ACTIVE: Inertial Sensing Systems for Advanced Chronic Condition Monitoring and Risk Prevention
Uncontrolled Keywords:Ambulant sensing, Personal health, Feedback, Coaching, Personalisation, Context aware
ID Code:25228
Deposited On:21 November 2014
ISI Impact Factor:1,530
More Information:statisticsmetis

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