Smartphone-Derived Seismocardiography: Robust Approach for Accurate Cardiac Energy Assessment in Patients with Various Cardiovascular Conditions
Seismocardiography (SCG), a method for measuring heart-induced chest vibrations, is gaining attention as a non-invasive, accessible, and cost-effective approach for cardiac pathologies, diagnosis, and monitoring. This study explores the integration of SCG acquired through smartphone technology by as...
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MDPI AG
2024-03-01
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| Online Access: | https://www.mdpi.com/1424-8220/24/7/2139 |
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| author | Amin Hossein Elza Abdessater Paniz Balali Elliot Cosneau Damien Gorlier Jérémy Rabineau Alexandre Almorad Vitalie Faoro Philippe van de Borne |
| author_facet | Amin Hossein Elza Abdessater Paniz Balali Elliot Cosneau Damien Gorlier Jérémy Rabineau Alexandre Almorad Vitalie Faoro Philippe van de Borne |
| author_sort | Amin Hossein |
| collection | DOAJ |
| description | Seismocardiography (SCG), a method for measuring heart-induced chest vibrations, is gaining attention as a non-invasive, accessible, and cost-effective approach for cardiac pathologies, diagnosis, and monitoring. This study explores the integration of SCG acquired through smartphone technology by assessing the accuracy of metrics derived from smartphone recordings and their consistency when performed by patients. Therefore, we assessed smartphone-derived SCG’s reliability in computing median kinetic energy parameters per record in 220 patients with various cardiovascular conditions. The study involved three key procedures: (1) simultaneous measurements of a validated hardware device and a commercial smartphone; (2) consecutive smartphone recordings performed by both clinicians and patients; (3) patients’ self-conducted home recordings over three months. Our findings indicate a moderate-to-high reliability of smartphone-acquired SCG metrics compared to those obtained from a validated device, with intraclass correlation (ICC) > 0.77. The reliability of patient-acquired SCG metrics was high (ICC > 0.83). Within the cohort, 138 patients had smartphones that met the compatibility criteria for the study, with an observed at-home compliance rate of 41.4%. This research validates the potential of smartphone-derived SCG acquisition in providing repeatable SCG metrics in telemedicine, thus laying a foundation for future studies to enhance the precision of at-home cardiac data acquisition. |
| first_indexed | 2024-04-24T10:34:52Z |
| format | Article |
| id | doaj.art-b5fe9b6db191461ea8c6a52a1934f282 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-24T10:34:52Z |
| publishDate | 2024-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-b5fe9b6db191461ea8c6a52a1934f2822024-04-12T13:26:18ZengMDPI AGSensors1424-82202024-03-01247213910.3390/s24072139Smartphone-Derived Seismocardiography: Robust Approach for Accurate Cardiac Energy Assessment in Patients with Various Cardiovascular ConditionsAmin Hossein0Elza Abdessater1Paniz Balali2Elliot Cosneau3Damien Gorlier4Jérémy Rabineau5Alexandre Almorad6Vitalie Faoro7Philippe van de Borne8Laboratory of Physics and Physiology, Université Libre de Bruxelles, 1050 Brussels, BelgiumDepartment of Cardiology, Erasme Hospital, Université Libre de Bruxelles, 1050 Bruxelles, BelgiumLaboratory of Physics and Physiology, Université Libre de Bruxelles, 1050 Brussels, BelgiumHeartkinetics S.A., 6041 Charleroi, BelgiumHeartkinetics S.A., 6041 Charleroi, BelgiumLaboratory of Physics and Physiology, Université Libre de Bruxelles, 1050 Brussels, BelgiumHeart Rhythm Management Centre, Postgraduate Program in Cardiac Electrophysiology and Pacing, Vrije Universiteit Brussel, Universitair Ziekenhuis Brussel, 1050 Brussels, BelgiumCardio-Pulmonary Exercise Laboratory, Faculty of Motor Sciences, Université Libre de Bruxelles, Erasme Campus, Anderlecht, 1070 Brussels, BelgiumDepartment of Cardiology, Erasme Hospital, Université Libre de Bruxelles, 1050 Bruxelles, BelgiumSeismocardiography (SCG), a method for measuring heart-induced chest vibrations, is gaining attention as a non-invasive, accessible, and cost-effective approach for cardiac pathologies, diagnosis, and monitoring. This study explores the integration of SCG acquired through smartphone technology by assessing the accuracy of metrics derived from smartphone recordings and their consistency when performed by patients. Therefore, we assessed smartphone-derived SCG’s reliability in computing median kinetic energy parameters per record in 220 patients with various cardiovascular conditions. The study involved three key procedures: (1) simultaneous measurements of a validated hardware device and a commercial smartphone; (2) consecutive smartphone recordings performed by both clinicians and patients; (3) patients’ self-conducted home recordings over three months. Our findings indicate a moderate-to-high reliability of smartphone-acquired SCG metrics compared to those obtained from a validated device, with intraclass correlation (ICC) > 0.77. The reliability of patient-acquired SCG metrics was high (ICC > 0.83). Within the cohort, 138 patients had smartphones that met the compatibility criteria for the study, with an observed at-home compliance rate of 41.4%. This research validates the potential of smartphone-derived SCG acquisition in providing repeatable SCG metrics in telemedicine, thus laying a foundation for future studies to enhance the precision of at-home cardiac data acquisition.https://www.mdpi.com/1424-8220/24/7/2139smartphonee-healthcardiac kinetic energytelemedicineballistocardiographycardiovascular screening |
| spellingShingle | Amin Hossein Elza Abdessater Paniz Balali Elliot Cosneau Damien Gorlier Jérémy Rabineau Alexandre Almorad Vitalie Faoro Philippe van de Borne Smartphone-Derived Seismocardiography: Robust Approach for Accurate Cardiac Energy Assessment in Patients with Various Cardiovascular Conditions Sensors smartphone e-health cardiac kinetic energy telemedicine ballistocardiography cardiovascular screening |
| title | Smartphone-Derived Seismocardiography: Robust Approach for Accurate Cardiac Energy Assessment in Patients with Various Cardiovascular Conditions |
| title_full | Smartphone-Derived Seismocardiography: Robust Approach for Accurate Cardiac Energy Assessment in Patients with Various Cardiovascular Conditions |
| title_fullStr | Smartphone-Derived Seismocardiography: Robust Approach for Accurate Cardiac Energy Assessment in Patients with Various Cardiovascular Conditions |
| title_full_unstemmed | Smartphone-Derived Seismocardiography: Robust Approach for Accurate Cardiac Energy Assessment in Patients with Various Cardiovascular Conditions |
| title_short | Smartphone-Derived Seismocardiography: Robust Approach for Accurate Cardiac Energy Assessment in Patients with Various Cardiovascular Conditions |
| title_sort | smartphone derived seismocardiography robust approach for accurate cardiac energy assessment in patients with various cardiovascular conditions |
| topic | smartphone e-health cardiac kinetic energy telemedicine ballistocardiography cardiovascular screening |
| url | https://www.mdpi.com/1424-8220/24/7/2139 |
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