Social Rhythms and Nocturnal Routines in Community Dwelling Older Adults

Behan, J.; Prendergast, David; Walsh, Lorcan; Quigley, Brenda

doi:10.1007/978-3-540-69916-3_9

Cited by 1 publication

(1 citation statement)

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“…Previous research has reported high agreement rates in the temporal discrimination of movement/non-movement monitoring using the UMBS compared to wrist actigraphy [12]. In addition to this, the calculation of quantitative statistics of nocturnal restlessness from the UMBS deployed in a real-world setting has also been previously reported upon [10].…”

Section: Resultsmentioning

confidence: 78%

Identification of nocturnal movements during sleep using the non-contact under mattress bed sensor

Walsh

Moloney

McLoone

2011

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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Abstract-This paper describes the calculation of statistical, spatial and spatiotemporal features from a novel non-contact technology for sleep monitoring, the Under Mattress Bed Sensor (UMBS). Data was collected from two relatively healthy adults with a possible sleep disorder in a clinical setting. Methods for the extraction of statistical data describing overall bed restlessness, a spatial description of movement (centre and spread of pressure) and a spatiotemporal description of each in-bed body movement over the entire sleeping episode are discussed using the pressure sensing grid. These provide a quantitative description of sleep and restlessness throughout the night.

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Section: Resultsmentioning

confidence: 78%