| A Wearable Respiratory Biofeedback System Based on Generalized Body Sensor Network. | |
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MedLine Citation:
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PMID: 21545293 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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Abstract Wearable medical devices have enabled unobtrusive monitoring of vital signs and emerging biofeedback services in a pervasive manner. This article describes a wearable respiratory biofeedback system based on a generalized body sensor network (BSN) platform. The compact BSN platform was tailored for the strong requirements of overall system optimizations. A waist-worn biofeedback device was designed using the BSN. Extensive bench tests have shown that the generalized BSN worked as intended. In-situ experiments with 22 subjects indicated that the biofeedback device was discreet, easy to wear, and capable of offering wearable respiratory trainings. Pilot studies on wearable training patterns and resultant heart rate variability suggested that paced respirations at abdominal level and with identical inhaling/exhaling ratio were more appropriate for decreasing sympathetic arousal and increasing parasympathetic activities. |
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Authors:
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Guan-Zheng Liu; Bang-Yu Huang; Lei Wang |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-5-5 |
Journal Detail:
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Title: Telemedicine journal and e-health : the official journal of the American Telemedicine Association Volume: - ISSN: 1556-3669 ISO Abbreviation: - Publication Date: 2011 May |
Date Detail:
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Created Date: 2011-5-6 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 100959949 Medline TA: Telemed J E Health Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Affiliation:
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Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology , Chinese Academy of Sciences, Shenzhen, China . |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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