Estimation of vital signs in bed from a single unobtrusive mechanical sensor: Algorithms and real-life evaluation

A single contact-less mechanical sensor is exploited for estimating three vital signs during sleep, namely, the heart rate, the breathing rate and an activity index related to the body movements. Robust estimations are achieved over epochs of 30 seconds. The data processing is performed with standar...

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Veröffentlicht in:2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Jg. 2008; S. 4744 - 4747
Hauptverfasser: Aubert, Xavier L., Brauers, Andreas
Format: Tagungsbericht Journal Article
Sprache:Englisch
Veröffentlicht: United States IEEE 01.01.2008
Schlagworte:
Adult
Aged
Aged, 80 and over
Beds
Belts
Electrocardiography
Electrocardiography - methods
Estimation
Female
Heart Rate
Humans
Male
Mechanical sensors
Middle Aged
Monitoring, Physiologic - instrumentation
Monitoring, Physiologic - methods
Reproducibility of Results
Sleep
Sleep apnea
Sleep Apnea Syndromes - pathology
Sleep Initiation and Maintenance Disorders - pathology
Thorax
ISBN:9781424418145, 1424418143
ISSN:1094-687X, 1557-170X, 2375-7477
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:A single contact-less mechanical sensor is exploited for estimating three vital signs during sleep, namely, the heart rate, the breathing rate and an activity index related to the body movements. Robust estimations are achieved over epochs of 30 seconds. The data processing is performed with standard DSP techniques leading to an integrated solution for dealing with body motion artifacts. The algorithms are described and evaluated over a one-hundred night corpus collected from real-life recordings of healthy subjects and sleep-laboratory patients. Results show that the average error of the heart rate is of 1.25 beat per minute compared to the reference values from an ECG and the coverage of the mechanically derived estimates is 83%.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISBN:9781424418145
1424418143
ISSN:1094-687X
1557-170X
2375-7477
DOI:10.1109/IEMBS.2008.4650273