Computerized respiratory sound analysis in people with dementia: a first-step towards diagnosis and monitoring of respiratory conditions
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.22/9081 |
Resumo: | Computerized respiratory sound analysis has been shown to be an objective and reliable way to assess respiratory diseases. However, its application in non-collaborative populations, such as people with dementia, is still unknown. Therefore this study aimed to characterize normal and adventitious respiratory sounds (NRS; ARS) in older people with and without dementia. A cross-sectional study including two groups of 30 subjects with dementia and 30 subjects without dementia was performed. Digital auscultation was used to record NRS and ARS per breathing-phase (inspiration/expiration) at trachea and thorax. Frequency at percentiles 25, 50 and 75, frequency at maximum-intensity, maximum-intensity (I max) and mean-intensity (I mean) characterized NRS. Crackle number, frequency, initial-deflection-width, 2cycle-duration, and largest-deflection-width and wheeze number, frequency and occupation-rate characterized ARS. Groups were similar in socio-demographics, except for anthropometrics. No significant differences were found between groups in NRS frequency or ARS at trachea or thorax. Significant lower I max (inspiration: 36.88(29.42;39.92) versus 39.84(36.50;44.17) p = 0.007; expiration: 34.51(32.06;38.87) versus 42.33(36.92;44.98) p < 0.001) and I mean (inspiration: 15.23(12.08;18.60) versus 18.93(15.64;21.82) p = 0.003 and expiration: 14.57(12.08;18.30) versus 18.87(15.64;21.44) p = 0.001) at trachea and higher I mean (inspiration: 17.29(16.04;19.31) versus 16.45(15.05; 18.79) p = 0.005 and expiration: 16.71(15.31;18.56) versus 16.38(14.40;17.85) p = 0.011) at thorax were found in subjects with dementia when compared with subjects without dementia. To conclude, people with and without dementia had similar NRS and ARS characteristics, except for NRS intensity. Computerized respiratory sound analysis was feasible in a non-collaborative population. Further research is needed to enhance the use of respiratory acoustics in non-collaborative populations, with strong potential to be applied in different settings for diagnosis and monitoring purposes. |
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Computerized respiratory sound analysis in people with dementia: a first-step towards diagnosis and monitoring of respiratory conditionsDigital auscultationNormal respiratory soundsAdventitious respiratory soundsOlder peopleDementiaComputerized respiratory sound analysis has been shown to be an objective and reliable way to assess respiratory diseases. However, its application in non-collaborative populations, such as people with dementia, is still unknown. Therefore this study aimed to characterize normal and adventitious respiratory sounds (NRS; ARS) in older people with and without dementia. A cross-sectional study including two groups of 30 subjects with dementia and 30 subjects without dementia was performed. Digital auscultation was used to record NRS and ARS per breathing-phase (inspiration/expiration) at trachea and thorax. Frequency at percentiles 25, 50 and 75, frequency at maximum-intensity, maximum-intensity (I max) and mean-intensity (I mean) characterized NRS. Crackle number, frequency, initial-deflection-width, 2cycle-duration, and largest-deflection-width and wheeze number, frequency and occupation-rate characterized ARS. Groups were similar in socio-demographics, except for anthropometrics. No significant differences were found between groups in NRS frequency or ARS at trachea or thorax. Significant lower I max (inspiration: 36.88(29.42;39.92) versus 39.84(36.50;44.17) p = 0.007; expiration: 34.51(32.06;38.87) versus 42.33(36.92;44.98) p < 0.001) and I mean (inspiration: 15.23(12.08;18.60) versus 18.93(15.64;21.82) p = 0.003 and expiration: 14.57(12.08;18.30) versus 18.87(15.64;21.44) p = 0.001) at trachea and higher I mean (inspiration: 17.29(16.04;19.31) versus 16.45(15.05; 18.79) p = 0.005 and expiration: 16.71(15.31;18.56) versus 16.38(14.40;17.85) p = 0.011) at thorax were found in subjects with dementia when compared with subjects without dementia. To conclude, people with and without dementia had similar NRS and ARS characteristics, except for NRS intensity. Computerized respiratory sound analysis was feasible in a non-collaborative population. Further research is needed to enhance the use of respiratory acoustics in non-collaborative populations, with strong potential to be applied in different settings for diagnosis and monitoring purposes.IOP PublishingRepositório Científico do Instituto Politécnico do PortoRocha, VâniaMelo, CristinaMarques, Alda2017-01-03T10:47:27Z20162016-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/9081eng1361-657910.1088/0967-3334/37/11/2079info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-13T12:50:14Zoai:recipp.ipp.pt:10400.22/9081Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:29:44.064906Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Computerized respiratory sound analysis in people with dementia: a first-step towards diagnosis and monitoring of respiratory conditions |
title |
Computerized respiratory sound analysis in people with dementia: a first-step towards diagnosis and monitoring of respiratory conditions |
spellingShingle |
Computerized respiratory sound analysis in people with dementia: a first-step towards diagnosis and monitoring of respiratory conditions Rocha, Vânia Digital auscultation Normal respiratory sounds Adventitious respiratory sounds Older people Dementia |
title_short |
Computerized respiratory sound analysis in people with dementia: a first-step towards diagnosis and monitoring of respiratory conditions |
title_full |
Computerized respiratory sound analysis in people with dementia: a first-step towards diagnosis and monitoring of respiratory conditions |
title_fullStr |
Computerized respiratory sound analysis in people with dementia: a first-step towards diagnosis and monitoring of respiratory conditions |
title_full_unstemmed |
Computerized respiratory sound analysis in people with dementia: a first-step towards diagnosis and monitoring of respiratory conditions |
title_sort |
Computerized respiratory sound analysis in people with dementia: a first-step towards diagnosis and monitoring of respiratory conditions |
author |
Rocha, Vânia |
author_facet |
Rocha, Vânia Melo, Cristina Marques, Alda |
author_role |
author |
author2 |
Melo, Cristina Marques, Alda |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Repositório Científico do Instituto Politécnico do Porto |
dc.contributor.author.fl_str_mv |
Rocha, Vânia Melo, Cristina Marques, Alda |
dc.subject.por.fl_str_mv |
Digital auscultation Normal respiratory sounds Adventitious respiratory sounds Older people Dementia |
topic |
Digital auscultation Normal respiratory sounds Adventitious respiratory sounds Older people Dementia |
description |
Computerized respiratory sound analysis has been shown to be an objective and reliable way to assess respiratory diseases. However, its application in non-collaborative populations, such as people with dementia, is still unknown. Therefore this study aimed to characterize normal and adventitious respiratory sounds (NRS; ARS) in older people with and without dementia. A cross-sectional study including two groups of 30 subjects with dementia and 30 subjects without dementia was performed. Digital auscultation was used to record NRS and ARS per breathing-phase (inspiration/expiration) at trachea and thorax. Frequency at percentiles 25, 50 and 75, frequency at maximum-intensity, maximum-intensity (I max) and mean-intensity (I mean) characterized NRS. Crackle number, frequency, initial-deflection-width, 2cycle-duration, and largest-deflection-width and wheeze number, frequency and occupation-rate characterized ARS. Groups were similar in socio-demographics, except for anthropometrics. No significant differences were found between groups in NRS frequency or ARS at trachea or thorax. Significant lower I max (inspiration: 36.88(29.42;39.92) versus 39.84(36.50;44.17) p = 0.007; expiration: 34.51(32.06;38.87) versus 42.33(36.92;44.98) p < 0.001) and I mean (inspiration: 15.23(12.08;18.60) versus 18.93(15.64;21.82) p = 0.003 and expiration: 14.57(12.08;18.30) versus 18.87(15.64;21.44) p = 0.001) at trachea and higher I mean (inspiration: 17.29(16.04;19.31) versus 16.45(15.05; 18.79) p = 0.005 and expiration: 16.71(15.31;18.56) versus 16.38(14.40;17.85) p = 0.011) at thorax were found in subjects with dementia when compared with subjects without dementia. To conclude, people with and without dementia had similar NRS and ARS characteristics, except for NRS intensity. Computerized respiratory sound analysis was feasible in a non-collaborative population. Further research is needed to enhance the use of respiratory acoustics in non-collaborative populations, with strong potential to be applied in different settings for diagnosis and monitoring purposes. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016 2016-01-01T00:00:00Z 2017-01-03T10:47:27Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.22/9081 |
url |
http://hdl.handle.net/10400.22/9081 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1361-6579 10.1088/0967-3334/37/11/2079 |
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info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
IOP Publishing |
publisher.none.fl_str_mv |
IOP Publishing |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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