Cognitive Endurance for Brain Health: Challenges of Creating an Intelligent Warning System
- 160 Downloads
During the past few years, the market for apps monitoring traditional health and wellbeing parameters such as heart rate, levels of physical activity and sleep patterns has rapidly expanded. In this paper, we articulate how we are currently engineering an early warning system designed to support long-term brain health, termed cognitive endurance, based on such monitoring. It can be thought of as a rudimentary expert system. It will monitor physical and social activity, stress and sleep patterns and signal when these parameters are such that a person’s cognitive endurance might be at risk. The aim of the system is to guide the user to adopt sustainable behavioral patterns from a cognitive endurance perspective. This paper articulates (1) what we mean by cognitive endurance, (2) how cognitive endurance may be enhanced, (3) our cognitive endurance monitoring platform, (4) our approach to calculating cognitive endurance risk, (5) specific challenges related to our approach and (6) what the long term benefits might be of successively monitoring cognitive endurance.
KeywordsCognitive endurance Expert systems Intelligent systems Cognition Brain health Health Wellbeing
This work has been supported by the European Institute of Innovation & Technology (EIT ICT Labs) within the HWB Cognitive Endurance activity.
- 1.Whitbourne SK, Whitbourne SB, Whitbourne SK (2011) Adult development and aging: Biopsychosocial perspectives. Wiley, HobokenGoogle Scholar
- 2.Hains BC (2006) Brain disorders. Chelsea House Publishers, Philadelphia, p 4Google Scholar
- 3.Brodal P (2010) The central nervous system: Structure and function. Oxford University Press, New York, p p140Google Scholar
- 8.Sapolsky RM (1992) Stress, the aging brain, and the mechanisms of neuron death. MIT Press, CambridgeGoogle Scholar
- 9.Cavanaugh JC, Blanchard-Fields F (2011) Adult development and aging. Wadsworth/Cengage Learning, Australia, p p249Google Scholar
- 13.Cao Y, Tao L, Xu G (2009) An event-driven context model in elderly health monitoring. In: Ubiquitous, autonomic and trusted computing, symposia and workshops. Symposia and workshops on ubiquitous, autonomic and trusted computing, pp 120–124Google Scholar
- 14.Guo F, Li Y, Kankanhalli MS, Brown MS (2013) An evaluation of wearable activity monitoring devices. In: Proceedings of the 1st ACM international workshop on Personal data meets distributed multimedia (PDM ‘13). ACM, New York, pp 31–34Google Scholar
- 21.Hedman A, Karvonen N, Hallberg J, Merilahti J (2014) Designing ICT for health and wellbeing: an allostatic. In: Behavioral-change approach to a monitoring and coaching app (to appear), vol 8868. Springer Lecture Notes in Computer ScienceGoogle Scholar