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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., SCOPUS: ar.j, info:eu-repo/semantics/published

Non-invasive remote detection of cardiac and blood displacements is an important topic in cardiactelemedicine. Here we propose kinocardiography (KCG), a non-invasive technique based onmeasurement of body vibrations produced by myocardial contraction and blood flow through thecardiac chambers and major vessels. KCG is based on ballistocardiography and seismocardiographyand measures 12 degrees-of-freedom (DOF) of body motion. The integral of kinetic energy (iK)and maximum Power (Pmax) obtained from the linear and rotational SCG/BCG signals, was computedover the cardiac cycle, and used as a marker of cardiac mechanical function. We showedthat KCG metrics show high repeatability, can be computed on 50 Hz and 1 kHz SCG/BCG signalsindifferently, that most of the metrics were highly similar when computed on different sensors,and with less than 5% of error when computed on record length longer than 60 s. Finally, weshow that KCG metrics allow detecting dobutamine-induced haemodynamic changes with a highaccuracy and present a major improvement over single axis ballistocardiography or seismocardiography.These results suggest that KCG may be a robust and non-invasive method to monitorcardiac inotropic activity., Doctorat en Sciences de l'ingénieur et technologie, info:eu-repo/semantics/nonPublished

Non-invasive remote detection of cardiac and blood displacements is an important topic in cardiac telemedicine. Here we propose kinocardiography (KCG), a non-invasive technique based onmeasurement of body vibrations produced by myocardial contraction and blood flow through thecardiac chambers and major vessels. KCG is based on ballistocardiography and seismocardiographyand measures 12 degrees-of-freedom (DOF) of body motion. The integral of kinetic energy (iK)and maximum Power (Pmax) obtained from the linear and rotational SCG/BCG signals, was computedover the cardiac cycle, and used as a marker of cardiac mechanical function. We showedthat KCG metrics show high repeatability, can be computed on 50 Hz and 1 kHz SCG/BCG signalsindifferently, that most of the metrics were highly similar when computed on different sensors,and with less than 5% of error when computed on record length longer than 60 s. Finally, weshow that KCG metrics allow detecting dobutamine-induced haemodynamic changes with a highaccuracy and present a major improvement over single axis ballistocardiography or seismocardiography.These results suggest that KCG may be a robust and non-invasive method to monitorcardiac inotropic activity., La détection à distance et non invasive des déplacements cardiaques et sanguins est un sujet important en télémédecine. Nous proposons ici la kinocardiographie (KCG), une technique non invasive basée sur mesure des vibrations corporelles produites par la contraction du myocarde et par le flux sanguin au travers des cavités cardiaques et des principaux vaisseaux sanguins. La KCG est basée sur la balistocardiographie et la seismocardiographie et mesure 12 degrés de liberté (DOF) de mouvement corporel. L'intégrale de l'énergie cinétique (iK) et la puissance maximale (Pmax) obtenue à partir des signaux SCG / BCG linéaire et rotationnel, a été calculée au cours du cycle cardiaque, et sont utilisées comme marqueur de la fonction mécanique cardiaque. Ce travail montre que les métriques KCG sont caractérisées par une répétabilité élevée, peuvent être calculées sur des signaux SCG / BCG à 50 Hz et à 1 kHz indifféremment, que la plupart des métriques étaient très similaires lorsqu'elles étaient calculées sur différents capteurs, et avec moins de 5% d'erreur lors du calcul sur une longueur d'enregistrement supérieure à 60 s. Enfin ce travail montre que les métriques KCG permettent de détecter les changements hémodynamiques induits par la dobutamine avec précision et présentent une amélioration majeure par rapport à la balistocardiographie à un seul axe ou à la seismocardiographie. Ces résultats suggèrent que la KCG peut être une méthode robuste et non invasive pour surveiller l'activité inotrope du coeur., Doctorat en Sciences de l'ingénieur et technologie, La défense publique a eu lieu le 05/05/2021. Cet upload remplace l'upload pécédent et contient les derniers commentaires du jury après la défense publique., info:eu-repo/semantics/nonPublished

Background: Kinocardiography (KCG) is a promising new technique used to monitor cardiac mechanical function remotely. KCG is based on ballistocardiography (BCG) and seismocardiography (SCG), and measures 12 degrees-of-freedom (DOF) of body motion produced by myocardial contraction and blood flow through the cardiac chambers and major vessels. Results: The integral of kinetic energy (iK) obtained from the linear and rotational SCG/BCG signals was computed over each dimension over the cardiac cycle, and used as a marker of cardiac mechanical function. We tested the hypotheses that KCG metrics can be acquired using different sensors, and at 50 Hz. We also tested the effect of record length on the ensemble average on which the metrics were computed. Twelve healthy males were tested in the supine, head-down tilt, and head-up tilt positions to expand the haemodynamic states on which the validation was performed. Conclusions: KCG metrics computed on 50 Hz and 1 kHz SCG/BCG signals were very similar. Most of the metrics were highly similar when computed on different sensors, and with less than 5% of error when computed on record length longer than 60 s. These results suggest that KCG may be a robust and non-invasive method to monitor cardiac inotropic activity. Trial registration Clinicaltrials.gov, NCT03107351. Registered 11 April 2017, https://clinicaltrials.gov/ct2/show/NCT03107351?term=NCT03107351&draw=2&rank=1., SCOPUS: ar.j, info:eu-repo/semantics/published