Computerized respiratory sound analysis in people with dementia: a first-step towards diagnosis and monitoring of respiratory conditions

Detalhes bibliográficos
Autor(a) principal: Rocha, Vânia
Data de Publicação: 2016
Outros Autores: Melo, Cristina, Marques, Alda
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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spelling 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
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dc.language.iso.fl_str_mv eng
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10.1088/0967-3334/37/11/2079
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dc.publisher.none.fl_str_mv IOP Publishing
publisher.none.fl_str_mv IOP Publishing
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