Logo des Repositoriums
 

Cognitive Endurance for Brain Health: Challenges of Creating an Intelligent Warning System

Kurzanzeige
dc.contributor.authorHedman, Anders
dc.contributor.authorHallberg, Josef
dc.date.accessioned2018-01-08T09:17:45Z
dc.date.available2018-01-08T09:17:45Z
dc.date.issued2015
dc.description.abstractDuring 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.
dc.identifier.pissn1610-1987
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/11454
dc.publisherSpringer
dc.relation.ispartofKI - Künstliche Intelligenz: Vol. 29, No. 2
dc.relation.ispartofseriesKI - Künstliche Intelligenz
dc.subjectBrain health
dc.subjectCognition
dc.subjectCognitive endurance
dc.subjectExpert systems
dc.subjectHealth
dc.subjectIntelligent systems
dc.subjectWellbeing
dc.titleCognitive Endurance for Brain Health: Challenges of Creating an Intelligent Warning System
dc.typeText/Journal Article
gi.citation.endPage129
gi.citation.startPage123

Dateien

Sammlungen

Künstliche Intelligenz 29(2) - Mai 2015