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Smartphone-Derived Seismocardiography: Robust Approach for Accurate Cardiac Energy Assessment in Patients with Various Cardiovascular Conditions.
Hossein, Amin; Abdessater, Elza; Balali, Paniz; Cosneau, Elliot; Gorlier, Damien; Rabineau, Jérémy; Almorad, Alexandre; Faoro, Vitalie; van de Borne, Philippe.
Afiliación
  • Hossein A; Laboratory of Physics and Physiology, Université Libre de Bruxelles, 1050 Brussels, Belgium.
  • Abdessater E; Cardio-Pulmonary Exercise Laboratory, Faculty of Motor Sciences, Université Libre de Bruxelles, Erasme Campus, Anderlecht, 1070 Brussels, Belgium.
  • Balali P; Department of Cardiology, Erasme Hospital, Université Libre de Bruxelles, 1050 Bruxelles, Belgium.
  • Cosneau E; Laboratory of Physics and Physiology, Université Libre de Bruxelles, 1050 Brussels, Belgium.
  • Gorlier D; Heartkinetics S.A., 6041 Charleroi, Belgium.
  • Rabineau J; Heartkinetics S.A., 6041 Charleroi, Belgium.
  • Almorad A; Laboratory of Physics and Physiology, Université Libre de Bruxelles, 1050 Brussels, Belgium.
  • Faoro V; Heart Rhythm Management Centre, Postgraduate Program in Cardiac Electrophysiology and Pacing, Vrije Universiteit Brussel, Universitair Ziekenhuis Brussel, 1050 Brussels, Belgium.
  • van de Borne P; Cardio-Pulmonary Exercise Laboratory, Faculty of Motor Sciences, Université Libre de Bruxelles, Erasme Campus, Anderlecht, 1070 Brussels, Belgium.
Sensors (Basel) ; 24(7)2024 Mar 27.
Article en En | MEDLINE | ID: mdl-38610349
ABSTRACT
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedades Cardiovasculares / Teléfono Inteligente Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2024 Tipo del documento: Article País de afiliación: Bélgica Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedades Cardiovasculares / Teléfono Inteligente Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2024 Tipo del documento: Article País de afiliación: Bélgica Pais de publicación: Suiza