Results 141 to 150 of about 869 (171)

Analyzing mental stress in Indian students through advanced machine learning and wearable technologies. [PDF]

Sci Rep
Gedam S, Dutta S, Jha R.
europepmc   +1 more source

Integrating multimodal intelligence in heart failure: AI-driven risk prediction, precision diagnosis, phenotyping, personalized treatment, and prognosis. [PDF]

Chin Med J (Engl)
Zhang C, Yang Z, Tang YD.
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Multifunctional Porous Soft Composites for Bimodal Wearable Cardiac Monitors. [PDF]

AIChE J
Chen Z, Chen S, Andrabi SM, Zhao G, Xu Y, Ouyang Q, Busquets ME, Qian X, Gautam S, Chen PY, Xie J, Yan Z.   +11 more
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Biosignal Authentication Considered Harmful Today [PDF]

Kazemi Mehrabadi, Milad, Krish, Veena, Paoletti, Nicola, Rahmati., Amir, Smolka, Scott A.   +4 more
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Heartbeat Detection in Seismocardiograms with Semantic Segmentation

2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022
Heartbeat detection is an essential part of cardiac signal analysis because it is recognized as a representative measure of cardiac function. The gold standard for heartbeat detection is to locate QRS complexes in electrocardiograms. Due to the development of sensors and information and communication technologies (ICT), seismocardiography (SCG) is ...
Konrad M, Duraj, Szymon, Siecinski, Rafal J, Doniec, Natalia J, Piaseczna, Pawel S, Kostka, Ewaryst J, Tkacz   +5 more
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Exploring Seismocardiogram Biometrics with Wavelet Transform

2020 25th International Conference on Pattern Recognition (ICPR), 2021
Seismocardiogram (SCG) has become easily accessible in the past decade owing to the advance of sensor technology. However, SCG biometric has not been widely explored. In this paper, we propose combining wavelet transform together with deep learning models, machine learning classifiers, or distance metric to perform SCG biometric matching tasks.
Po-Ya Hsu, Po-Han Hsu, Hsin-Li Liu
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Seismocardiogram and Ballistocardiogram Sensing

International Journal of Measurement Technologies and Instrumentation Engineering, 2011
The paper describes the latest development in seismocardiography and ballistocardiography, including sensors with or without mechanical contact with the body, for cardiac functions monitoring in common daily activity. The authors discuss the information related with the seismocardiogramn (SCG) and ballistocardiogram (BCG) and the work on SCG and BCG ...
Octavian Postolache, Pedro Girão, Gabriela Postolache   +2 more
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24h seismocardiogram monitoring in ambulant subjects

2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Sternal seismocardiogram (SCG) is the assessment of microvibrations produced by the beating heart as detected by an accelerometer positioned on the sternum. This signal reflects mechanical events of the heart contraction, including the opening and closure of mitral and aortic valves and maximal blood flow acceleration.
Rienzo M. Di, Meriggi P, Vaini E., Castiglioni P, Rizzo F.   +4 more
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Wavelet transform analysis of the seismocardiogram

Proceedings of Third International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96), 2002
Seismocardiography is a new, non-invasive technique developed for recording and analyzing cardiac vibratory activity. Recent studies of seismocardiograms (SCGs) have demonstrated that they are a potential technique for detecting coronary artery disease.
W. Xu, W.A. Sandham, A.C. Fisher, M. Conway   +3 more
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