Sleep assessment using a passive ballistocardiography-based system: Preliminary validation

Quantitative sleep analysis through the use of polysomnography is a well established standard. Finding new ways to approach this, especially over multiple nights, is becoming more important due to a growing recognition of adverse effects from poor sleep and sleep disorders. The Non-Invasive Analysis...

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Bibliographic Details
Published in2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society Vol. 2009; pp. 4319 - 4322
Main Authors Mack, D.C., Patrie, J.T., Felder, R.A., Suratt, P.M., Alwan, M.
Format Conference Proceeding Journal Article
LanguageEnglish
Published United States IEEE 01.01.2009
Subjects
Actigraphy - instrumentation
Actigraphy - methods
Adult
Ballistocardiography - instrumentation
Ballistocardiography - methods
Biomedical monitoring
Female
Gold
Heart Rate
Heart rate measurement
Humans
Male
Middle Aged
Monitoring, Physiologic - instrumentation
Musculoskeletal system
Patient monitoring
Performance analysis
Polysomnography - instrumentation
Reproducibility of Results
Respiration
Signal analysis
Signal Processing, Computer-Assisted - instrumentation
Sleep
Sleep - physiology
USA Councils
Wakefulness - physiology
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Summary:Quantitative sleep analysis through the use of polysomnography is a well established standard. Finding new ways to approach this, especially over multiple nights, is becoming more important due to a growing recognition of adverse effects from poor sleep and sleep disorders. The Non-Invasive Analysis of Physiological Signals (NAPS TM ) system is a ballistocardiography-based monitoring system developed to measure heart rate, breathing rate and musculoskeletal movement that shows promise as a general sleep analysis tool. Overnight sleep studies were conducted on 20 healthy subjects during a validation clinical trial which compared the NAPS system to actigraphy, using polysomnography as the gold standard. The NAPS system [kappa = 3D 0.478; 95% CI (0.463, 0.494); p-value < 0.001] outperformed actigraphy [kappa = 3D 0.344; 95% CI (0.324, 0.358); p-value < 0.001], largely due to better performance in distinguishing sleep onset times as determined by polysomnography [NAPS mean bias estimate: -2.5 epochs; 95% CI (-16.8, 11.9); p = 3D 0.725 | Actigraphy mean bias estimate: -33.6 epochs; 95% CI (-57.4, -9.7); p = 3D 0.016)].
ISSN:1094-687X
1557-170X
1558-4615
DOI:10.1109/IEMBS.2009.5333805