Zobrazeno 1 - 10
of 2 247
pro vyhledávání: '"Seismocardiography"'
Emotions have a profound impact on our daily lives, influencing our thoughts, behaviors, and interactions, but also our physiological reactions. Recent advances in wearable technology have facilitated studying emotions through cardio-respiratory sign
Externí odkaz:
http://arxiv.org/abs/2412.00411
Seismocardiography (SCG) has gained significant attention due to its potential applications in monitoring cardiac health and diagnosing cardiovascular conditions. Conventional SCG methods rely on accelerometers attached to the chest, which can be unc
Externí odkaz:
http://arxiv.org/abs/2408.09512
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract Background Wearable sensors have revolutionized cardiac health monitoring, with Seismocardiography (SCG) at the forefront due to its non-invasive nature. However, the substantial motion artefacts have hindered the translation of SCG-based me
Externí odkaz:
https://doaj.org/article/66fda778b58d466d9c2eec0278617101
Seismocardiogram (SCG) signals can play a crucial role in remote cardiac monitoring, capturing important events such as aortic valve opening (AO) and mitral valve closure (MC). However, existing SCG methods for detecting AO and MC typically rely on e
Externí odkaz:
http://arxiv.org/abs/2408.09513
Autor:
N, Geetha1 (AUTHOR), Bhat, C. Rohith2 (AUTHOR), TR, Mahesh3 (AUTHOR), Yimer, Temesgen Engida4 (AUTHOR) Temesgen.engida@du.edu.et
Publikováno v:
BMC Medical Informatics & Decision Making. 10/1/2024, Vol. 24 Issue 1, p1-14. 14p.
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 6, Pp 119-126 (2025)
Goal: Seismocardiography (SCG) offers critical insights into cardiac performance, but its analysis often faces challenges due to the limited availability of data. This study aims to generate synthetic SCG heartbeats which can augment existing dataset
Externí odkaz:
https://doaj.org/article/b5db651ea9af4a82a7dcc84ccc07f4a0
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Zavanelli, Nathan
This paper summarizes and presents PulsatioMech: an open-source MATLAB toolbox for seismocardiography (SCG) signal processing. The toolbox may be found here: https://github.com/nzavanelli/SCG_master_toolbox PulsatioMech is currently under development
Externí odkaz:
http://arxiv.org/abs/2401.05480
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine, Vol 12, Pp 348-358 (2024)
Wearable sensing has become a vital approach to cardiac health monitoring, and seismocardiography (SCG) is emerging as a promising technology in this field. However, the applicability of SCG is hindered by motion artifacts, including those encountere
Externí odkaz:
https://doaj.org/article/5213ee41a0e64063b75f3ee49970257a