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Point process Heart Rate Variability assessment during sleep deprivation

Citi, L and Klerman, EB and Brown, EN and Barbieri, R (2010) 'Point process Heart Rate Variability assessment during sleep deprivation.' Computing in Cardiology, 37. 721 - 724. ISSN 2325-8861

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Abstract

To investigate the potential relationships between Heart Rate Variability (HRV) and objective performancesubjective alertness measures during sleep deprivation, a novel point process algorithm was applied to ECG data from healthy young subjects in a 52-hour Constant Routine protocol that includes sleep deprivation. Our algorithm is able to estimate the time-varying behavior of the HRV spectral indexes in an on-line instantaneous method. Results demonstrate the ability of our framework to provide high time-resolution sympatho-vagal dynamics as measured by spectral low frequency (LF) and high frequency (HF) power. Correlation analysis on individual subjects reveals a relevant correspondence between LF/HF and subjective alertness during the initial hours of sleep deprivation. At longer times awake, high correlation levels between LF/HF and objective performance indicate an increasing sympathetic drive as performance measures worsen. These results suggest that our point-process based HRV assessment could aid in real-time prediction of performance-alertness.

Item Type: Article
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > R Medicine (General)
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Jim Jamieson
Date Deposited: 06 Mar 2014 11:09
Last Modified: 17 Aug 2017 17:53
URI: http://repository.essex.ac.uk/id/eprint/8805

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