Abstract:
OBJECTIVES:To determine if wavelet analysis techniques can be used to reliably identify individual breaths from the photoplethysmogram (PPG). METHODS:Photoplethysmograms were obtained from 22 healthy adult volunteers timing their respiration rate in synchronisation with a metronome. A secondary timing signal was obtained by asking the volunteers to actuate a small push button switch, held in their right hand, in synchronisation with their respiration. Each PPG was analyzed using primary wavelet decomposition and two new, related, secondary decompositions to determine the accuracy of individual breath detection. RESULTS:The optimal breath capture was obtained by manually polling the three techniques, allowing detection of 466 out of the 472 breaths studied; a detection rate of 98.7% with no false positive breaths detected. CONCLUSION:Our technique allows the accurate capture of individual breaths from the photoplethysmogram, and leads the way for developing a simple non-invasive combined respiration and saturation monitor.
journal_name
J Clin Monit Computjournal_title
Journal of clinical monitoring and computingauthors
Leonard P,Grubb NR,Addison PS,Clifton D,Watson JNdoi
10.1007/s10877-005-2697-zsubject
Has Abstractpub_date
2004-12-01 00:00:00pages
309-12issue
5-6eissn
1387-1307issn
1573-2614journal_volume
18pub_type
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journal_title:Journal of clinical monitoring and computing
pub_type: 杂志文章
doi:10.1023/a:1011420228523
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journal_title:Journal of clinical monitoring and computing
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journal_title:Journal of clinical monitoring and computing
pub_type: 杂志文章
doi:10.1007/s10877-005-0879-3
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journal_title:Journal of clinical monitoring and computing
pub_type: 杂志文章,随机对照试验
doi:10.1007/s10877-017-0028-9
更新日期:2018-04-01 00:00:00
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journal_title:Journal of clinical monitoring and computing
pub_type: 临床试验,杂志文章
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更新日期:2002-08-01 00:00:00
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journal_title:Journal of clinical monitoring and computing
pub_type: 杂志文章,随机对照试验
doi:10.1007/s10877-014-9585-3
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journal_title:Journal of clinical monitoring and computing
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journal_title:Journal of clinical monitoring and computing
pub_type: 杂志文章
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journal_title:Journal of clinical monitoring and computing
pub_type: 杂志文章,多中心研究
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journal_title:Journal of clinical monitoring and computing
pub_type: 信件
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journal_title:Journal of clinical monitoring and computing
pub_type: 杂志文章
doi:10.1007/s10877-019-00366-0
更新日期:2020-08-01 00:00:00
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journal_title:Journal of clinical monitoring and computing
pub_type: 杂志文章
doi:10.1007/s10877-006-9021-4
更新日期:2006-06-01 00:00:00
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journal_title:Journal of clinical monitoring and computing
pub_type: 杂志文章
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journal_title:Journal of clinical monitoring and computing
pub_type: 杂志文章,评审
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pub_type: 杂志文章,评审
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