Point process Heart Rate Variability assessment during sleep deprivation
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 inclu...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Institute of Electrical and Electronics Engineers
2012
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| Online Access: | http://hdl.handle.net/1721.1/69998 https://orcid.org/0000-0003-2668-7819 https://orcid.org/0000-0002-6166-448X |
| Summary: | 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. |
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