Title :
Short Term Analysis of Long Term Patterns of Heart Rate Variability in Subjects under Mental Stress
Author :
Kim, Desok ; Seo, Yunhwan ; Kim, Sook-hyun ; Jung, Suntae
Author_Institution :
Inf. & Commun. Univ., Daejeon
Abstract :
Long term patterns of heart rate variability (HRV) features were decreased in subjects with higher self reporting stress scores. For mobile applications, short term analysis of HRV features may be ideal since conventional heartbeat recordings (3-5 min) might be inadequately long. In this study, short term analysis has been performed for heartbeat data obtained at five different time points from two subject groups (15 under high and 18 under low mental stress). The reliability of short term heartbeat data was demonstrated by detecting significant differences in long term patterns of HR V features between two groups. Fifteen to thirty second heartbeat measurements were long enough to produce reliable long term patterns of HRVfeatures. Thus, short and intermittent recordings of heartbeats could be used to detect long term HR Vpatterns and offer a convenient method to monitor mental stress in mobile environments.
Keywords :
electrocardiography; neurophysiology; heart rate variability; heartbeat data; heartbeat measurements; long term HRV patterns; mental stress; short term HRV analysis; time 15 s to 30 s; Biomedical monitoring; Cardiac disease; Diabetes; Electrocardiography; Frequency estimation; Heart beat; Heart rate variability; Human factors; Pattern analysis; Performance analysis;
Conference_Titel :
BioMedical Engineering and Informatics, 2008. BMEI 2008. International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-0-7695-3118-2
DOI :
10.1109/BMEI.2008.272