Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Sourav Kumar Mukhopadhyay"'
Publikováno v:
Frontiers in Signal Processing, Vol 2 (2022)
Plausibly, the first computerized and automated electrocardiogram (ECG) signal processing algorithm was published in the literature in 1961, and since then, the number of algorithms that have been developed to-date for the detection of the QRS-comple
Externí odkaz:
https://doaj.org/article/e31b85cc4ed34100a393fde23229693a
Autor:
Sourav Kumar Mukhopadhyay, Michael Zara, Irene Telias, Lu Chen, Remi Coudroy, Takeshi Yoshida, Laurent Brochard, Sridhar Krishnan
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine, Vol 8, Pp 1-11 (2020)
Objective: Assessing the respiratory and lung mechanics of the patients in intensive care units is of utmost need in order to guide the management of ventilation support. The esophageal pressure (Peso) signal is a minimally invasive measure, which po
Externí odkaz:
https://doaj.org/article/c1f27c54f0af44799acbddb9b4cebb8f
Autor:
Lu Chen, Laurent Brochard, Rémi Coudroy, Sridhar Krishnan, Takeshi Yoshida, Sourav Kumar Mukhopadhyay, Michael Zara, Irene Telias
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine
IEEE Journal of Translational Engineering in Health and Medicine, Vol 8, Pp 1-11 (2020)
IEEE Journal of Translational Engineering in Health and Medicine, Vol 8, Pp 1-11 (2020)
Objective: Assessing the respiratory and lung mechanics of the patients in intensive care units is of utmost need in order to guide the management of ventilation support. The esophageal pressure (\documentclass[12pt]{minimal} \usepackage{amsmath} \us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3587008f9a82da3516231159e22a9e75
https://pubmed.ncbi.nlm.nih.gov/32782854
https://pubmed.ncbi.nlm.nih.gov/32782854
Publikováno v:
Computer Methods and Programs in Biomedicine. 213:106518
Background and objective Detection and analysis of QRS-complex as well as the processing of electrocardiogram (ECG) signal using computers are being practiced for over the last fifty-eight years, approximately, and yet the thirst of designing superio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d57391c67c37cda8e22c0e1b33dc3719
https://doi.org/10.1016/j.cmpb.2021.106518
https://doi.org/10.1016/j.cmpb.2021.106518
Publikováno v:
Health Monitoring Systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1860cda524d3b44db23d43c4ff8f03cf
https://doi.org/10.1201/9780429113390-3
https://doi.org/10.1201/9780429113390-3
Publikováno v:
Computer methods and programs in biomedicine. 188
Background and objective An efficient and robust electrocardiogram (ECG) denoising technique caters three-fold benefits in the subsequent processing steps: first, it helps improving the accuracy of extracted features. Second, the improved accuracy in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3196fbd1129dd9e9421f4180f27f75c9
https://pubmed.ncbi.nlm.nih.gov/31927178
https://pubmed.ncbi.nlm.nih.gov/31927178
Publikováno v:
Biomedical Signal Processing and Control. 61:102007
Combination of interval and amplitude threshold-based algorithms have been tested rigorously over the last few decades for detecting the QRS-complexes in electrocardiogram (ECG) signals. However, the very eccentric nature of appearance of the QRS-com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f58750abb1c0c1c761fc88a4fc0215a
https://doi.org/10.1016/j.bspc.2020.102007
https://doi.org/10.1016/j.bspc.2020.102007