Abstract
Cardiovascular disease (CVD) is the major cause of death in the UAE, causing one in every five deaths. Effective Cardiac Rehabilitation (CR) can significantly improve mortality and morbidity rates, leading to longer independent living and a reduced use of healthcare resources. The proposed project, namely Care4MyHeart, sets as an overall goal to introduce a personalized home-based CR program, enabling lifestyle behavioral change towards increased quality of life, surpassing the currently unsustainable provision of healthcare for CVD. In particular, the Care4MyHeart-Pesronalized Serious Game (C4MH-PSG) platform targets CVD patients entering Phase III, as this is where large numbers of patients, who would benefit significantly from exercise and CR, drop out. C4MH-PSG supports the key predictors for attendance to CR Phase III programs, including high program availability, ease of access to program location, high social connectivity, peer support (when peers share similar problems or/and can become peer mentors), and high self-efficacy. Within C4MH-PSG, advanced machine learning and modelling techniques are employed to propose gender- and age-specific CVD exercise programs and an autonomous helper-agent, providing informed feedback to the patient and the related physician/carer, establishing a collaborative patient-professional partnership. C4MH-PSG is realized via motion capture, exercise evaluation, physiological and lifestyle monitoring, exercise gaming, home-based human-computer interfacing, multi-parametric data modelling and advanced decision support systems. Finally, the overall concept and system are easily transferable to address other diseases/conditions (e.g., diabetes, osteoporosis, obesity), providing market opportunities for the commercialization of C4MH-PSG beyond CVD.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
World Health Organization, CVD Factsheet, March 2013
Nichols, M., et al.: European Cardiovascular Disease Statistics 2012, European Heart Network, Brussels, European Society of Cardiology, Sophia Antipolis (2012)
Turk-Adawi, K.I., Terzic, C., Bjarnason-Wehrens, B., Grace, S.L.: Cardiac rehabilitation in Cana-da and Arab countries: comparing availability and program characteristics. BMC Health Serv. Res. 15, 521–531 (2015). https://doi.org/10.1186/s12913-015-1183-7
Piepoli, M.F., Hoes, A.W., Agewall, S., Albus, C., Brotons, C., Catapano, A.L.: European guidelines on CVD prevention in clinical practice, “Systematic Coronary Risk Evaluation (SCORE)” Eur. Heart J. 33, 1635–1701 (2012). http://doi.org/10.1093/eurheartj/ehs092
Jolliffe, J., Rees, K., Taylor, R.R.S., Thompson, D.R., Oldridge, N., Ebrahim, S.: Exercise-based re-habilitation for coronary heart disease. Cochrane Database Syst. Rev. 1, CD001800 (2009)
Jennings, S., Carey, D.: Capacity and equity in cardiac rehabilitation in the eastern region: good and bad news. Ir. J. Med. Sci. 173(3), 151–154 (2004). https://doi.org/10.1007/BF03167930
Ashworth, N., Chad, K., et al.: Home versus centre based physical activity interventions in older adults. Cochrane Database Syst. Rev. 1, CD004017 (2005)
Hughes, A.R., Mutrie, N., MacIntyre, P.D.: Effect of an exercise consultation on maintenance of physical activity after completion of phase III exercise-based cardiac rehabilitation. Eur. J. Cardiovasc. Prev. Rehabil. 14(1), 114–121 (2007)
Sniehotta, F.F., Scholz, U., et al.: Long-term effects of two psychological interventions on physical exercise and self-regulation following coronary rehabilitation. Int. J. Behav. Med. 12(4), 244–255 (2005). https://doi.org/10.1207/s15327558ijbm1204_5
Bodenheimer, T., et al.: Patient self-management of chronic disease in primary care. JAMA 288(19), 2469–2475 (2002)
Goodfellow, I., Bengio, Y., Courville, A.: Deep Learning (Adaptive Computation and Machine Learning series) Hardcover – 11 November 2016. (http://www.deeplearningbook.org/)
Douali, N., Csaba, H., De Roo, J., Papageorgiou, E.I., Jaulent, M.-C.: Diagnosis support system based on clinical guidelines: comparison between case-based fuzzy cognitive maps and bayesian networks. Comput. Methods Programs Biomed. 113(1), 133–143 (2014)
Al-Naymat, G., Chawla, S., Taheri, J.: SparseDTW: a novel approach to speed up dynamic time warping. In: Proceedings of the Eighth Australasian Data Mining Conference, Australian Computer Society, Inc., vol. 101, pp. 117–127 (2009)
Anderson, S.: Health Insurance Portability and Accountability Act of 1996 (HIPAA). www.healthInsurance.org
Broekhuizen, K., et al.: A systematic review of randomized controlled trials on the effectiveness of computer-tailored physical activity and dietary behavior promotion programs: an update. Annals Behav. Med. 44(2), 259–286 (2012)
Bandura, A.: Human agency in social cognitive theory. Am. Psychol. 44, 1175–1184 (1989)
Phan, N., Dou, D., Piniewski, B., Kil, D.: A deep learning approach for human behavior prediction with explanations in health social networks: social restricted Boltzmann machine (SRBM+). Soc. Netw. Anal. Min. 6(1), 1–14 (2016). https://doi.org/10.1007/s13278-016-0379-0
Kodama, S., et al.: Cardiorespiratory fitness as a qualitative predictor of all-cause mortality and cardiovascular events in healthy men and women: a meta-analysis. JAMA 301(19), 2024–2035 (2009)
Neubeck, L., et al.: Telehealth interventions for the secondary prevention of coronary heart dis-ease: a systematic review. Eur. J. Cardiovasc. Prevent. Rehabil. 16, 281–289 (2009)
Acknowledgements
This work is funded by the Abu Dhabi Department of Education and Knowledge (ADEK), UAE, under the Award for Research Excellence (AARE) 2018, ref. no: 29934 and partially supported by HEIC fund from Khalifa University.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Dias, S.B., Hadjileontiadou, S.J., Diniz, J.A., Khandoker, A.H., Hadjileontiadis, L.J. (2020). Care4MyHeart-PSG: A Personalized Serious Game Platform to Empower Phase III Cardiac Rehabilitation of Cardiovascular Disease Patients in UAE. In: Stephanidis, C., Antona, M., Gao, Q., Zhou, J. (eds) HCI International 2020 – Late Breaking Papers: Universal Access and Inclusive Design. HCII 2020. Lecture Notes in Computer Science(), vol 12426. Springer, Cham. https://doi.org/10.1007/978-3-030-60149-2_19
Download citation
DOI: https://doi.org/10.1007/978-3-030-60149-2_19
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-60148-5
Online ISBN: 978-3-030-60149-2
eBook Packages: Computer ScienceComputer Science (R0)