Abstract
Exercise-based rehabilitation for chronic conditions such as cardiovascular disease, diabetes, and chronic obstructive pulmonary disease, constitutes a key element in reducing patient symptoms and improving health status and quality of life. However, group exercise in rehabilitation programmes faces several challenges imposed by the diversified needs of their participants. In this direction, we propose a novel computer-assisted system enhanced with sensors such as Kinect cameras and wristband heart rate monitors, aiming to support the trainer in adapting the exercise programme on-the-fly, according to identified requirements. The proposed system design facilitates maximal tailoring of the exercise programme towards the most beneficial and enjoyable execution of exercises for patient groups. This work contributes in the design of the next-generation of computerised systems in exercise-based rehabilitation.
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References
Sagar VA, Davies EJ, Briscoe S et al (2015) Exercise-based rehabilitation for heart failure: systematic review and meta-analysis. Open Hear 2:e000163. https://doi.org/10.1136/openhrt-2014-000163
Kouidi E, Karagiannis V, Grekas D et al (2010) Depression, heart rate variability, and exercise training in dialysis patients. Eur J Cardiovasc Prev Rehabil 17:160–167. https://doi.org/10.1097/HJR.0b013e32833188c4
Nocon M, Hiemann T, Müller-Riemenschneider F et al (2008) Association of physical activity with all-cause and cardiovascular mortality: a systematic review and meta-analysis. Eur J Cardiovasc Prev Rehabil 15:239–246. https://doi.org/10.1097/HJR.0b013e3282f55e09
Vanhees L, Geladas N, Hansen D et al (2012) Importance of characteristics and modalities of physical activity and exercise in the management of cardiovascular health in individuals with cardiovascular risk factors: recommendations from the EACPR. Part II. Eur J Prev Cardiol 19:1005–33. https://doi.org/10.1177/1741826711430926
Thompson PD, Arena R, Riebe D, Pescatello LS (2013) ACSM’s new preparticipation health screening recommendations from ACSM’s guidelines for exercise testing and prescription, 9th (edn). Curr Sports Med Rep 12:215–217. https://doi.org/10.1249/JSR.0b013e31829a68cf
Raedeke TD (2007) The relationship between enjoyment and affective responses to exercise. J Appl Sport Psychol 19:105–115. https://doi.org/10.1080/10413200601113638
Borg G, Hassmén P, Lagerström M (1987) Perceived exertion related to heart rate and blood lactate during arm and leg exercise. Eur J Appl Physiol Occup Physiol 56:679–685. https://doi.org/10.1007/BF00424810
Claes J, Buys R, Woods C et al (2017) PATHway I: Design and rationale for the investigation of the feasibility, clinical effectiveness and cost-effectiveness of a technology-enabled cardiac rehabilitation platform. BMJ Open. https://doi.org/10.1136/bmjopen-2017-016781
Filos D, Triantafyllidis A, Chouvarda I et al (2016) PATHway: decision support in exercise programmes for cardiac rehabilitation. Stud Health Technol Inform 224:40–45
Chang K-M, Liu S-H (2011) Wireless portable electrocardiogram and a tri-axis accelerometer implementation and application on sleep activity monitoring. Telemed J E Health 17:177–184. https://doi.org/10.1089/tmj.2010.0078
Chatzitofis A, Zarpalas D, Filos D et al (2017) Technological module for unsupervised, personalized cardiac rehabilitation exercising. In: 2017 IEEE 41st annual computer software and applications conference (COMPSAC). https://doi.org/10.1109/COMPSAC.2017.230
Claes J, Buys R, Avila A et al (2017) Validity of heart rate measurements by the Garmin Forerunner 225 at different walking intensities. J Med Eng Technol 41:480–485. https://doi.org/10.1080/03091902.2017.1333166
Kranz M, Möller A, Hammerla N et al (2013) The mobile fitness coach: towards individualized skill assessment using personalized mobile devices. Pervasive Mob Comput 9:203–215. https://doi.org/10.1016/j.pmcj.2012.06.002
Compernolle S, Vandelanotte C, Cardon G et al (2015) Effectiveness of a web-based, computer-tailored, pedometer-based physical activity intervention for adults: a cluster randomized controlled trial. J Med Internet Res 17:e38. https://doi.org/10.2196/jmir.3402
Peng H-T, Song C-Y (2015) Predictors of treatment response to strengthening and stretching exercises for patellofemoral pain: An examination of patellar alignment. Knee 22:494–498. https://doi.org/10.1016/j.knee.2014.10.012
Buttussi F, Chittaro L (2008) MOPET: A context-aware and user-adaptive wearable system for fitness training. Artif Intell Med 42:153–163. https://doi.org/10.1016/j.artmed.2007.11.004
Triantafyllidis AK, Koutkias VG, Chouvarda I, Maglaveras N (2014) Development and usability of a personalized sensor-based system for pervasive healthcare. In: 2014 36th Annual international conference of the IEEE engineering in medicine and biology society EMBC. https://doi.org/10.1109/EMBC.2014.6945146
Acknowledgements
Author AT was supported by the “IKY fellowships of excellence for postgraduate studies in Greece—SIEMENS program”. Authors DF, JC, RB, VC, AC, DZ, PD, IC, and NM were supported by the European Union’s Horizon 2020 Framework Programme for Research and Innovation Action under Grant Agreement no. 643491, ‘PATHway: Technology enabled behavioural change as a pathway towards better self-management of CVD’.
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Triantafyllidis, A. et al. (2018). A Computer-Assisted System with Kinect Sensors and Wristband Heart Rate Monitors for Group Classes of Exercise-Based Rehabilitation. In: Maglaveras, N., Chouvarda, I., de Carvalho, P. (eds) Precision Medicine Powered by pHealth and Connected Health. ICBHI 2017. IFMBE Proceedings, vol 66. Springer, Singapore. https://doi.org/10.1007/978-981-10-7419-6_39
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DOI: https://doi.org/10.1007/978-981-10-7419-6_39
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