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Recent Developments in Home Sleep-monitoring Devices

Overview
Journal ISRN Neurol
Specialty Neurology
Date 2012 Oct 26
PMID 23097718
Citations 52
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Abstract

Improving our understanding of sleep physiology and pathophysiology is an important goal for both medical and general wellness reasons. Although the gold standard for assessing sleep remains the laboratory polysomnogram, there is an increasing interest in portable monitoring devices that provide the opportunity for assessing sleep in real-world environments such as the home. Portable devices allow repeated measurements, evaluation of temporal patterns, and self-experimentation. We review recent developments in devices designed to monitor sleep-wake activity, as well as monitors designed for other purposes that could in principle be applied in the field of sleep (such as cardiac or respiratory sensing). As the body of supporting validation data grows, these devices hold promise for a variety of health and wellness goals. From a clinical and research standpoint, the capacity to obtain longitudinal sleep-wake data may improve disease phenotyping, individualized treatment decisions, and individualized health optimization. From a wellness standpoint, commercially available devices may allow individuals to track their own sleep with the goal of finding patterns and correlations with modifiable behaviors such as exercise, diet, and sleep aids.

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References
1.
Jansen B, Shankar K . Sleep staging with movement-related signals. Int J Biomed Comput. 1993; 32(3-4):289-97. DOI: 10.1016/0020-7101(93)90021-w. View

2.
van de Water A, Holmes A, Hurley D . Objective measurements of sleep for non-laboratory settings as alternatives to polysomnography--a systematic review. J Sleep Res. 2010; 20(1 Pt 2):183-200. DOI: 10.1111/j.1365-2869.2009.00814.x. View

3.
Collop N, Tracy S, Kapur V, Mehra R, Kuhlmann D, Fleishman S . Obstructive sleep apnea devices for out-of-center (OOC) testing: technology evaluation. J Clin Sleep Med. 2011; 7(5):531-48. PMC: 3190855. DOI: 10.5664/JCSM.1328. View

4.
Watanabe T, Watanabe K . Noncontact method for sleep stage estimation. IEEE Trans Biomed Eng. 2004; 51(10):1735-48. DOI: 10.1109/TBME.2004.828037. View

5.
Devot S, Bianchi A, Naujokat E, Mendez M, Braurs A, Cerutti S . Sleep monitoring through a textile recording system. Annu Int Conf IEEE Eng Med Biol Soc. 2007; 2007:2560-3. DOI: 10.1109/IEMBS.2007.4352851. View