Results 91 to 100 of about 5,458 (233)

Methodology for indexing NASA tech briefs Development and implementation Final report [PDF]

Methodology for indexing NASA Tech ...
Clingman, W. H.
core   +1 more source

Barnes Hospital Bulletin [PDF]

, 1981
https://digitalcommons.wustl.edu/bjc_barnes_bulletin/1191/thumbnail ...

core   +1 more source

Integration of PCG spectrogram texture and deep features for the diagnosis of heart failure with preserved ejection fraction using heterogeneous stacking ensemble learning

Frontiers in Physiology
This study proposes a novel heterogeneous stacking ensemble learning model for the fusion of phonocardiogram (PCG) spectrogram texture and deep features to detect heart failure with preserved ejection fraction (HFpEF), which plays a critical role in the ...
Yineng Zheng, Yineng Zheng, Jian Qin, Fajin Lv, Fajin Lv, Xia Li, Xingming Guo   +6 more
doaj   +1 more source

Evaluation of phonocardiographic data of astronauts during orbital flights [PDF]

Simultaneous electrocardiographic and phonocardiographic data obtained from Gemini ...
Dietlein, L. F., Judy, W. V., Vallbona, C.   +2 more
core   +1 more source

Heart murmur detection from phonocardiogram recordings: The George B. Moody PhysioNet Challenge 2022

, 2023
Matthew A. Reyna, Yashar Kiarashi, Andoni Elola, Jorge Oliveira, Francesco Renna, Annie Gu, Erick Andres Perez Alday, Nadi Sadr, Ashish Sharma, Jacques Kpodonu, Sandra da Silva Mattos, Miguel Coimbra, Reza Sameni, Ali Bahrami Rad, Gari D. Clifford   +14 more
openalex   +1 more source

A Comparative Analysis of Machine Learning and Deep Learning Approaches for Phonocardiogram Classification Using Dataset Integration

IEEE Access
The worldwide increase in cardiovascular diseases and related deaths necessitates advanced, non-invasive diagnostic methods that allow for timely detection and intervention to mitigate the risk of death.
M. Kalimuthu, C. Hemanth
doaj   +1 more source

Main theoretical basis of biosignals modeling [PDF]

, 2018
The phonocardiosignal (PCS) synchronously registered with electrocardiosignal simulation model was de- veloped in this work using the methods as: the real signal envelope calculation, the real PCS signal approximation using the piecewise, bandpass ...
Dediv, Leonid Yevhenovych, Dozorska, Oksana Fedorivna, Khvostivskiy, Mykola Orestovich, Palaniza, Yuri Bogdanovich, Shadrina, Halyna Mykhaylivna   +4 more
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Método automático de análisis de señales acústicas no-estacionarias [PDF]

, 2006
Método automático de análisis de señales acústicas noestacionarias. Esta patente de invención presenta un método de análisis de la señal acústica temporal generada durante determinados eventos o sucesos de cambio de estado o transformaciones en todo ...
Cristóbal, Gabriel, Gabarda Tébar, Salvador   +1 more
core  

Fog-Enabled Multimodal Chest-Worn Device for Systolic Blood Pressure Monitoring

IEEE Access
This paper presents a Fog-enabled chest-worn device for estimating systolic blood pressure (SBP). The device integrates two sensors that simultaneously detect the phonocardiogram (PCG), ballistocardiogram (BCG), and seismocardiogram (SCG) from a single ...
Pamela Salas, Jose-Manuel Mejia-Munoz, Rafael Gonzalez-Landaeta   +2 more
doaj   +1 more source

Ensemble Voting Method for Phonocardiogram Heart Signal Classification Using FFT Features

Journal of Applied Informatics and Computing
Heart disease is still one of the leading causes of death worldwide, hence the need for effective diagnostic tools. Phonocardiogram (PCG) signals have been explored as a complementary approach to electrocardiogram (ECG) to detect cardiac abnormalities ...
Adisaputra Zidha Noorizki, Heri Pratikno, Weny Indah Kusumawati   +2 more
doaj   +1 more source