Key result
A finger volume-oscillometric method correctly classified regular and 30-hour sleep-deprived activities with 78.2% and 77.5% accuracy, respectively.
Why the study?
Can long-term cardiovascular parameters measured by finger volume-oscillometry discriminate between normal day-to-day living and sleep deprivation in healthy volunteers?
Population
10 healthy young male volunteers, mean age 21.8 years, with no known cardiovascular disorders.
Comparison
30-hour period of total sleep deprivation… vs Normal day-to-day living monitored with the same…
Follow-up
10 days
Authors
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May support ambulatory detection of sleep deprivation effects; hypothesis-generating and requires prospective validation before clinical use.
Can long-term cardiovascular parameters measured by finger volume-oscillometry discriminate between normal day-to-day living and sleep deprivation in healthy volunteers?
Absolute Event Rate: 77.5% vs 78.2%
p-value: p=<0.01
A finger volume-oscillometric technique can successfully discriminate between normal daily activities and sleep deprivation using cardiovascular parameters, suggesting potential for future ambulatory health screening.
Yamakoshi et al. (2013) studied Healthy (n=10). 30-hour total sleep deprivation vs. Regular daily living (baseline) was evaluated on Correct classification of regular and sleep-deprived activities using linear discriminant analysis of cardiovascular parameters (p=<0.01). A finger volume-oscillometric method correctly classified regular and 30-hour sleep-deprived activities with 78.2% and 77.5% accuracy, respectively.
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