Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Jaba Deva Krupa, Abel"'
Publikováno v:
In Journal of King Saud University - Computer and Information Sciences October 2022 34(9):7200-7211
Publikováno v:
In Biomedical Signal Processing and Control May 2022 75
Autor:
Jaba Deva Krupa, Abel, Dhanalakshmi, Samiappan, Sanjana, N.L., Manivannan, Naveen, Kumar, Ramamoorthy, Tripathy, Saswati
Publikováno v:
In Biocybernetics and Biomedical Engineering October-December 2021 41(4):1533-1547
Publikováno v:
Multimedia Tools and Applications. 82:1373-1400
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d57432f55b90cb4d635d30fcec452848
https://doi.org/10.1007/s11042-022-13391-0
https://doi.org/10.1007/s11042-022-13391-0
Publikováno v:
Wireless Personal Communications. 121:1011-1023
Generally, radar echo is analysed in the assumptions that echo comes from stationary processes. Signal processing algorithms of atmospheric radar echoes are based on stationarity assumptions. In this paper, we propose a technique for processing the r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e1429752af154a41dd82f0eb58862ab
https://doi.org/10.1007/s11277-021-08669-9
https://doi.org/10.1007/s11277-021-08669-9
Autor:
Iragavarapu Kannan, Paras Jain, Ch. N. V. S. Praneeth, Potluri Harsha Sai, Jaba Deva Krupa Abel
Publikováno v:
Journal of Computational and Theoretical Nanoscience. 17:3613-3620
This work addresses the automatic classification of arrhythmia beats into four generalized classes as described by the Association for the Advancement of Medical Instrumentation (AAMI) standard. We propose a method that includes time-series, statisti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78696fb4fb8dbe9fb08cea336a9a4488
https://doi.org/10.1166/jctn.2020.9240
https://doi.org/10.1166/jctn.2020.9240
Publikováno v:
Procedia Computer Science. 165:182-188
Non-invasive monitoring of fetal cardiac signs through the signal processing of maternal abdominal signals has been emerging as a promising technique in the field of obstetrics and gynaecology. The underlying challenges in obtaining the Fetal Electro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::650b4243960abb0ca1dd3d34892e0298
https://doi.org/10.1016/j.procs.2020.01.093
https://doi.org/10.1016/j.procs.2020.01.093
Publikováno v:
Biomedical Engineering / Biomedizinische Technik; Oct2021, Vol. 66 Issue 5, p503-514, 12p
Autor:
Jaba Deva Krupa Abel, R. Kumar, Patnala Venkat Nitin, S. Pravin Kumar, Dhanalakshmi Samiappan, Ch. N. V. S. Praneeth
Publikováno v:
Biomedical Engineering: Applications, Basis and Communications. 32:2050026
Fetal electrocardiogram (FECG) non-invasively obtained through abdominal recordings serves as a promising diagnostic tool for fetal health monitoring during pregnancy. However, in the abdominal ECG (AECG) signal, FECG overlaps with maternal ECG (MECG
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72a7d0bfe9ca9abe9f50d94a5437a22d
https://doi.org/10.4015/s101623722050026x
https://doi.org/10.4015/s101623722050026x
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9789811038112
Subband coding is a popular technique extensively used in the areas of image and video communications. This technique is widely employed to achieve data compression and efficient data transmission. The general principle of subband coding involves div
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::873379ec271136f149953a2ff45acf56
https://doi.org/10.1007/978-981-10-3812-9_19
https://doi.org/10.1007/978-981-10-3812-9_19
