A Wearable Stethoscope for Long-Term Ambulatory Respiratory Health Monitoring
Lung sounds acquired by stethoscopes are extensively used in diagnosing and differentiating respiratory diseases. Although an extensive know-how has been built to interpret these sounds and identify diseases associated with certain patterns, its effective use is limited to individual experience of p...
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Published in | Sensors (Basel, Switzerland) Vol. 20; no. 18; p. 5124 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
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MDPI AG
08.09.2020
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Abstract | Lung sounds acquired by stethoscopes are extensively used in diagnosing and differentiating respiratory diseases. Although an extensive know-how has been built to interpret these sounds and identify diseases associated with certain patterns, its effective use is limited to individual experience of practitioners. This user-dependency manifests itself as a factor impeding the digital transformation of this valuable diagnostic tool, which can improve patient outcomes by continuous long-term respiratory monitoring under real-life conditions. Particularly patients suffering from respiratory diseases with progressive nature, such as chronic obstructive pulmonary diseases, are expected to benefit from long-term monitoring. Recently, the COVID-19 pandemic has also shown the lack of respiratory monitoring systems which are ready to deploy in operational conditions while requiring minimal patient education. To address particularly the latter subject, in this article, we present a sound acquisition module which can be integrated into a dedicated garment; thus, minimizing the role of the patient for positioning the stethoscope and applying the appropriate pressure. We have implemented a diaphragm-less acousto-electric transducer by stacking a silicone rubber and a piezoelectric film to capture thoracic sounds with minimum attenuation. Furthermore, we benchmarked our device with an electronic stethoscope widely used in clinical practice to quantify its performance. |
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AbstractList | Lung sounds acquired by stethoscopes are extensively used in diagnosing and differentiating respiratory diseases. Although an extensive know-how has been built to interpret these sounds and identify diseases associated with certain patterns, its effective use is limited to individual experience of practitioners. This user-dependency manifests itself as a factor impeding the digital transformation of this valuable diagnostic tool, which can improve patient outcomes by continuous long-term respiratory monitoring under real-life conditions. Particularly patients suffering from respiratory diseases with progressive nature, such as chronic obstructive pulmonary diseases, are expected to benefit from long-term monitoring. Recently, the COVID-19 pandemic has also shown the lack of respiratory monitoring systems which are ready to deploy in operational conditions while requiring minimal patient education. To address particularly the latter subject, in this article, we present a sound acquisition module which can be integrated into a dedicated garment; thus, minimizing the role of the patient for positioning the stethoscope and applying the appropriate pressure. We have implemented a diaphragm-less acousto-electric transducer by stacking a silicone rubber and a piezoelectric film to capture thoracic sounds with minimum attenuation. Furthermore, we benchmarked our device with an electronic stethoscope widely used in clinical practice to quantify its performance. Lung sounds acquired by stethoscopes are extensively used in diagnosing and differentiating respiratory diseases. Although an extensive know-how has been built to interpret these sounds and identify diseases associated with certain patterns, its effective use is limited to individual experience of practitioners. This user-dependency manifests itself as a factor impeding the digital transformation of this valuable diagnostic tool, which can improve patient outcomes by continuous long-term respiratory monitoring under real-life conditions. Particularly patients suffering from respiratory diseases with progressive nature, such as chronic obstructive pulmonary diseases, are expected to benefit from long-term monitoring. Recently, the COVID-19 pandemic has also shown the lack of respiratory monitoring systems which are ready to deploy in operational conditions while requiring minimal patient education. To address particularly the latter subject, in this article, we present a sound acquisition module which can be integrated into a dedicated garment; thus, minimizing the role of the patient for positioning the stethoscope and applying the appropriate pressure. We have implemented a diaphragm-less acousto-electric transducer by stacking a silicone rubber and a piezoelectric film to capture thoracic sounds with minimum attenuation. Furthermore, we benchmarked our device with an electronic stethoscope widely used in clinical practice to quantify its performance.Lung sounds acquired by stethoscopes are extensively used in diagnosing and differentiating respiratory diseases. Although an extensive know-how has been built to interpret these sounds and identify diseases associated with certain patterns, its effective use is limited to individual experience of practitioners. This user-dependency manifests itself as a factor impeding the digital transformation of this valuable diagnostic tool, which can improve patient outcomes by continuous long-term respiratory monitoring under real-life conditions. Particularly patients suffering from respiratory diseases with progressive nature, such as chronic obstructive pulmonary diseases, are expected to benefit from long-term monitoring. Recently, the COVID-19 pandemic has also shown the lack of respiratory monitoring systems which are ready to deploy in operational conditions while requiring minimal patient education. To address particularly the latter subject, in this article, we present a sound acquisition module which can be integrated into a dedicated garment; thus, minimizing the role of the patient for positioning the stethoscope and applying the appropriate pressure. We have implemented a diaphragm-less acousto-electric transducer by stacking a silicone rubber and a piezoelectric film to capture thoracic sounds with minimum attenuation. Furthermore, we benchmarked our device with an electronic stethoscope widely used in clinical practice to quantify its performance. |
Author | Rocha, Bruno M. Wacker, Josias Chételat, Olivier Carvalho, Paulo Yilmaz, Gürkan Rapin, Michaël Pessoa, Diogo de Sousa, Antonio Moreira Rusconi, Roberto Paiva, Rui Pedro |
AuthorAffiliation | 1 Swiss Center for Electronics and Microtechnology (CSEM), 2002 Neuchâtel, Switzerland; michael.rapin@csem.ch (M.R.); antonio.desousa@csem.ch (A.M.d.S.); roberto.rusconi@csem.ch (R.R.); josias.wacker@csem.ch (J.W.); olivier.chetelat@csem.ch (O.C.) 2 University of Coimbra, Centre for Informatics and Systems of the University of Coimbra, Department of Informatics Engineering, 3030-290 Coimbra, Portugal; dpessoa@dei.uc.pt (D.P.); bmrocha@dei.uc.pt (B.M.R.); carvalho@dei.uc.pt (P.C.); ruipedro@dei.uc.pt (R.P.P.) |
AuthorAffiliation_xml | – name: 1 Swiss Center for Electronics and Microtechnology (CSEM), 2002 Neuchâtel, Switzerland; michael.rapin@csem.ch (M.R.); antonio.desousa@csem.ch (A.M.d.S.); roberto.rusconi@csem.ch (R.R.); josias.wacker@csem.ch (J.W.); olivier.chetelat@csem.ch (O.C.) – name: 2 University of Coimbra, Centre for Informatics and Systems of the University of Coimbra, Department of Informatics Engineering, 3030-290 Coimbra, Portugal; dpessoa@dei.uc.pt (D.P.); bmrocha@dei.uc.pt (B.M.R.); carvalho@dei.uc.pt (P.C.); ruipedro@dei.uc.pt (R.P.P.) |
Author_xml | – sequence: 1 givenname: Gürkan surname: Yilmaz fullname: Yilmaz, Gürkan – sequence: 2 givenname: Michaël surname: Rapin fullname: Rapin, Michaël – sequence: 3 givenname: Diogo orcidid: 0000-0002-7783-7488 surname: Pessoa fullname: Pessoa, Diogo – sequence: 4 givenname: Bruno M. orcidid: 0000-0003-1643-667X surname: Rocha fullname: Rocha, Bruno M. – sequence: 5 givenname: Antonio Moreira surname: de Sousa fullname: de Sousa, Antonio Moreira – sequence: 6 givenname: Roberto surname: Rusconi fullname: Rusconi, Roberto – sequence: 7 givenname: Paulo surname: Carvalho fullname: Carvalho, Paulo – sequence: 8 givenname: Josias surname: Wacker fullname: Wacker, Josias – sequence: 9 givenname: Rui Pedro surname: Paiva fullname: Paiva, Rui Pedro – sequence: 10 givenname: Olivier surname: Chételat fullname: Chételat, Olivier |
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SubjectTerms | Acoustics auscultation Auscultation - instrumentation Betacoronavirus Chronic obstructive pulmonary disease Clinical Laboratory Techniques - instrumentation COPD Coronavirus Infections - diagnosis Coronavirus Infections - physiopathology COVID-19 COVID-19 Testing Design Diaphragm (Anatomy) digital health Digital transformation Electric Impedance electronic stethoscope Equipment Design Humans Microphones Monitoring, Ambulatory - instrumentation Pandemics Pneumonia, Viral - diagnosis Pneumonia, Viral - physiopathology Remote Sensing Technology - instrumentation Respiration Respiratory diseases respiratory sound Respiratory Sounds - diagnosis Respiratory Sounds - physiopathology SARS-CoV-2 Sensors Signal Processing, Computer-Assisted Sound Stethoscopes Transducers Wearable Electronic Devices wearables Wireless Technology - instrumentation |
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Title | A Wearable Stethoscope for Long-Term Ambulatory Respiratory Health Monitoring |
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