Literature DB >> 22255398

Low-cost and disposable pressure sensor mat for non-invasive sleep and movement monitoring applications.

Jose K Abraham1, Shawn Sullivan, Sridhar Ranganathan.   

Abstract

Sleep has profound effects on the physical and mental well-being of an individual. The National Institutes of Health (NIH) Sleep Disorder Research Plan gives particular emphasis to non-invasive sleep monitoring methods. Older adults experience sleep fragmentation due to sleep disorders. Unobtrusive non-contact monitoring can be the only realistic solution for long term home-based sleep monitoring. The demand for a low-cost and non-invasive sleep monitoring system for in-home use is more than before due to an increasingly stressful life style. Cost and complexity of current sensor elements hinder the development of low-cost sleep monitoring devices for in-home use. This paper presents the design, development and implementation of a low-cost and disposable pressure sensor mat that could be useful for in-home sleep and movement monitoring applications. The sensor mat design is based on a compressible foam sandwiched between two orthogonal arrays of cPaper capacitance sensors. A low-cost conducting paper has been developed for use as the capacitance sensor electrode. Typical mat design uses a 3 mm thick foam with 5 mm row/column grid array shows that it has a measurement resolution of 0.1 PSI pressure. The resolution can be controlled by both modifying properties of the conducting paper and the foam. Since this pressure mat design is based on low-cost paper, the sensor electrodes are disposable or semi-durable and hence it is ideal for the use in point-of-care physiological monitoring, pervasive healthcare and consumer electronic devices.

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Year:  2011        PMID: 22255398     DOI: 10.1109/IEMBS.2011.6091175

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  2 in total

1.  A modular sensorized mat for monitoring infant posture.

Authors:  Marco Donati; Francesca Cecchi; Filippo Bonaccorso; Marco Branciforte; Paolo Dario; Nicola Vitiello
Journal:  Sensors (Basel)       Date:  2013-12-31       Impact factor: 3.576

2.  Sensor Network-Based and User-Friendly User Location Discovery for Future Smart Homes.

Authors:  Ehsan Ahvar; Gyu Myoung Lee; Son N Han; Noel Crespi; Imran Khan
Journal:  Sensors (Basel)       Date:  2016-06-27       Impact factor: 3.576

  2 in total

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