| Low latency breathing frequency detection and monitoring on a personal computer. | |
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MedLine Citation:
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PMID: 21767133 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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We demonstrate a low latency respiratory/breathing frequency detection system that is fast (<5 ms), easy to operate, requires no batteries or external power supply and operates fully via computer-standard USB connection. Exercises in controlling ones breathing frequency, usually referred to as paced-breathing exercises, have shown positive effects in treating pulmonary diseases, cardiovascular diseases and stress/anxiety-related disorders. We developed a breathing frequency detection system which uses two pairs of microphones to detect exhalation activity, eliminate noise from the environment and stream the recording data via USB connection to a personal computer. It showed 97.1% reliability (10 subjects) when monitoring breathing activity in non-guided free breathing and 100% reliability (10 subjects) when monitoring breathing activity during interactive paced-breathing exercises. We also evaluated the breathing frequency detection systems noise elimination functionality which showed a reduction of 84.2 dB for stationary (white noise) and a reduction of 79.3 dB for non-stationary (hands clapping) noise. |
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Authors:
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Matevz Leskovsek; Dragomira Ahlin; Rok Cancer; Milan Hosta; Dusan Enova; Nika Pusenjak; Matjaz Bunc |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-7-18 |
Journal Detail:
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Title: Journal of medical engineering & technology Volume: - ISSN: 1464-522X ISO Abbreviation: - Publication Date: 2011 Jul |
Date Detail:
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Created Date: 2011-7-19 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 7702125 Medline TA: J Med Eng Technol Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Affiliation:
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Faculty of Electrical Engineering, University of Ljubljana , Ljubljana , Slovenia. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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