A Wearable Multi-Sensor Array Enables the Recording of Heart Sounds in Homecare
The home monitoring of patients affected by chronic heart failure (CHF) is of key importance in preventing acute episodes. Nevertheless, no wearable technological solution exists to date. A possibility could be offered by Cardiac Time Intervals extracted from simultaneous recordings of electrocardio...
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| Published in | Sensors (Basel, Switzerland) Vol. 23; no. 13; p. 6241 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Switzerland
MDPI AG
01.07.2023
MDPI |
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| Online Access | Get full text |
| ISSN | 1424-8220 1424-8220 |
| DOI | 10.3390/s23136241 |
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| Abstract | The home monitoring of patients affected by chronic heart failure (CHF) is of key importance in preventing acute episodes. Nevertheless, no wearable technological solution exists to date. A possibility could be offered by Cardiac Time Intervals extracted from simultaneous recordings of electrocardiographic (ECG) and phonocardiographic (PCG) signals. Nevertheless, the recording of a good-quality PCG signal requires accurate positioning of the stethoscope over the chest, which is unfeasible for a naïve user as the patient. In this work, we propose a solution based on multi-source PCG. We designed a flexible multi-sensor array to enable the recording of heart sounds by inexperienced users. The multi-sensor array is based on a flexible Printed Circuit Board mounting 48 microphones with a high spatial resolution, three electrodes to record an ECG and a Magneto-Inertial Measurement Unit. We validated the usability over a sample population of 42 inexperienced volunteers and found that all subjects could record signals of good to excellent quality. Moreover, we found that the multi-sensor array is suitable for use on a wide population of at-risk patients regardless of their body characteristics. Based on the promising findings of this study, we believe that the described device could enable the home monitoring of CHF patients soon. |
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| AbstractList | The home monitoring of patients affected by chronic heart failure (CHF) is of key importance in preventing acute episodes. Nevertheless, no wearable technological solution exists to date. A possibility could be offered by Cardiac Time Intervals extracted from simultaneous recordings of electrocardiographic (ECG) and phonocardiographic (PCG) signals. Nevertheless, the recording of a good-quality PCG signal requires accurate positioning of the stethoscope over the chest, which is unfeasible for a naïve user as the patient. In this work, we propose a solution based on multi-source PCG. We designed a flexible multi-sensor array to enable the recording of heart sounds by inexperienced users. The multi-sensor array is based on a flexible Printed Circuit Board mounting 48 microphones with a high spatial resolution, three electrodes to record an ECG and a Magneto-Inertial Measurement Unit. We validated the usability over a sample population of 42 inexperienced volunteers and found that all subjects could record signals of good to excellent quality. Moreover, we found that the multi-sensor array is suitable for use on a wide population of at-risk patients regardless of their body characteristics. Based on the promising findings of this study, we believe that the described device could enable the home monitoring of CHF patients soon. The home monitoring of patients affected by chronic heart failure (CHF) is of key importance in preventing acute episodes. Nevertheless, no wearable technological solution exists to date. A possibility could be offered by Cardiac Time Intervals extracted from simultaneous recordings of electrocardiographic (ECG) and phonocardiographic (PCG) signals. Nevertheless, the recording of a good-quality PCG signal requires accurate positioning of the stethoscope over the chest, which is unfeasible for a naïve user as the patient. In this work, we propose a solution based on multi-source PCG. We designed a flexible multi-sensor array to enable the recording of heart sounds by inexperienced users. The multi-sensor array is based on a flexible Printed Circuit Board mounting 48 microphones with a high spatial resolution, three electrodes to record an ECG and a Magneto-Inertial Measurement Unit. We validated the usability over a sample population of 42 inexperienced volunteers and found that all subjects could record signals of good to excellent quality. Moreover, we found that the multi-sensor array is suitable for use on a wide population of at-risk patients regardless of their body characteristics. Based on the promising findings of this study, we believe that the described device could enable the home monitoring of CHF patients soon.The home monitoring of patients affected by chronic heart failure (CHF) is of key importance in preventing acute episodes. Nevertheless, no wearable technological solution exists to date. A possibility could be offered by Cardiac Time Intervals extracted from simultaneous recordings of electrocardiographic (ECG) and phonocardiographic (PCG) signals. Nevertheless, the recording of a good-quality PCG signal requires accurate positioning of the stethoscope over the chest, which is unfeasible for a naïve user as the patient. In this work, we propose a solution based on multi-source PCG. We designed a flexible multi-sensor array to enable the recording of heart sounds by inexperienced users. The multi-sensor array is based on a flexible Printed Circuit Board mounting 48 microphones with a high spatial resolution, three electrodes to record an ECG and a Magneto-Inertial Measurement Unit. We validated the usability over a sample population of 42 inexperienced volunteers and found that all subjects could record signals of good to excellent quality. Moreover, we found that the multi-sensor array is suitable for use on a wide population of at-risk patients regardless of their body characteristics. Based on the promising findings of this study, we believe that the described device could enable the home monitoring of CHF patients soon. |
| Audience | Academic |
| Author | Balestra, Gabriella Giordano, Noemi Rosati, Samanta Knaflitz, Marco |
| AuthorAffiliation | Department of Electronics and Telecommunications and PoliToBIOMedLab, Politecnico di Torino, 10129 Torino, Italy; samanta.rosati@polito.it (S.R.); gabriella.balestra@polito.it (G.B.); marco.knaflitz@polito.it (M.K.) |
| AuthorAffiliation_xml | – name: Department of Electronics and Telecommunications and PoliToBIOMedLab, Politecnico di Torino, 10129 Torino, Italy; samanta.rosati@polito.it (S.R.); gabriella.balestra@polito.it (G.B.); marco.knaflitz@polito.it (M.K.) |
| Author_xml | – sequence: 1 givenname: Noemi orcidid: 0000-0002-9265-6538 surname: Giordano fullname: Giordano, Noemi – sequence: 2 givenname: Samanta orcidid: 0000-0003-0620-594X surname: Rosati fullname: Rosati, Samanta – sequence: 3 givenname: Gabriella orcidid: 0000-0003-2717-648X surname: Balestra fullname: Balestra, Gabriella – sequence: 4 givenname: Marco orcidid: 0000-0001-5396-5103 surname: Knaflitz fullname: Knaflitz, Marco |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/37448089$$D View this record in MEDLINE/PubMed |
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| CitedBy_id | crossref_primary_10_3390_electronics14010121 crossref_primary_10_1016_j_mser_2024_100804 crossref_primary_10_1002_smm2_1311 crossref_primary_10_1080_08037051_2024_2304190 |
| Cites_doi | 10.3390/jpm12122011 10.1111/j.1527-5299.2006.05769.x 10.1109/EMBC.2015.7319743 10.1016/S0140-6736(11)60101-3 10.1109/EMBC.2015.7319742 10.1016/j.bspc.2017.03.005 10.1111/j.1365-2362.2011.02596.x 10.1016/j.recesp.2014.11.009 10.23919/Eusipco47968.2020.9287636 10.1111/j.1751-7133.2010.00191.x 10.3390/s21217246 10.1161/CIRCULATIONAHA.108.783910 10.1177/1460458221997893 10.1016/j.amjcard.2005.07.016 10.1007/s10741-021-10212-8 10.1007/s11897-009-0039-z 10.1111/j.1527-5299.2006.05773.x-i1 10.3389/fphys.2019.01057 10.1007/s10741-021-10176-9 10.1093/med/9780198849346.001.0001 10.1115/1.4055513 10.1016/j.bbe.2019.02.003 10.1111/1467-8659.00652-i1 10.1016/j.bspc.2019.101775 10.1109/ACCESS.2019.2900446 10.1109/ACCESS.2021.3111778 10.3390/e23060642 10.15420/cfr.2019.5.3 10.1016/j.cardfail.2008.03.011 10.1109/EMBC.2019.8856725 10.22489/CinC.2017.141-408 10.1016/j.bspc.2020.102055 10.3390/jpm11070658 10.1111/j.1542-474X.2007.00146.x |
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| Copyright | COPYRIGHT 2023 MDPI AG 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2023 by the authors. 2023 |
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| SubjectTerms | Auscultation Biomarkers Cardiac patients Cardiovascular disease Caregivers Ejection fraction Electrocardiogram Electrocardiography Electrodes Heart Heart failure Heart Sounds Hemodynamics Home care services Home care services industry Humans Microphones Patients phonocardiography Pulmonary arteries Sensors Signal Processing, Computer-Assisted Technology application telemedicine Usability wearable sensors |
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| Title | A Wearable Multi-Sensor Array Enables the Recording of Heart Sounds in Homecare |
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