Point process Heart Rate Variability assessment during sleep deprivation
Name
Brown-2010-Point process Heart Rate Variability assessment during sleep deprivation.pdf
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Author(s)
Citi, Luca
Klerman, Elizabeth B.
Brown, Emery N.
Barbieri, Riccardo
Date Issued
September 2010
Journal
Proceedings of the 2010 Computing in Cardiology conference (CinC 2010)
Publisher
Institute of Electrical and Electronics Engineers
Citation
Citi, L. et al. "Point process Heart Rate Variability assessment during sleep deprivation." Proceedings of the 2010 Computing in Cardiology conference (CinC 2010) 37:721−724.
Version
Final published version
Abstract
To investigate the potential relationships between
Heart Rate Variability (HRV) and objective performance-subjective
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.
MIT Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
E-ISBN : 978-1-4244-7319-9
