Zobrazeno 1 - 10
of 89
pro vyhledávání: '"Raqibul Mostafa"'
Autor:
Mohanad Alkhodari, Mamunur Rashid, Mohammad Abdul Mukit, Khawza I. Ahmed, Raqibul Mostafa, Sharmin Parveen, Ahsan H. Khandoker
Publikováno v:
IEEE Access, Vol 9, Pp 119171-119187 (2021)
Cardiovascular autonomic neuropathy (CAN) is one of the most overlooked complications associated with diabetes. It is characterized by damage in the autonomic nerves regulating heart rate and vascular compliance. Ewing battery is currently the diagno
Externí odkaz:
https://doaj.org/article/accd75bf7fc4436ba8bfbb233d4c0c16
Autor:
Simanto Saha, Khondaker A. Mamun, Khawza Ahmed, Raqibul Mostafa, Ganesh R. Naik, Sam Darvishi, Ahsan H. Khandoker, Mathias Baumert
Publikováno v:
Frontiers in Systems Neuroscience, Vol 15 (2021)
Brain computer interfaces (BCI) provide a direct communication link between the brain and a computer or other external devices. They offer an extended degree of freedom either by strengthening or by substituting human peripheral working capacity and
Externí odkaz:
https://doaj.org/article/30bde0e4a49b43aab3e42c4387bd2ba6
Autor:
Mushran Siddiqui, Farhana Akther, Gazi M. E. Rahman, Mohammad Mamun Elahi, Raqibul Mostafa, Khan A. Wahid
Publikováno v:
Sensors, Vol 21, Iss 18, p 6040 (2021)
Water, one of the most valuable resources, is underutilized in irrigated rice production. The yield of rice, a staple food across the world, is highly dependent on having proper irrigation systems. Alternate wetting and drying (AWD) is an effective i
Externí odkaz:
https://doaj.org/article/393860cd750344caab5c5d1e416c399d
Autor:
Simanto Saha, Md. Shakhawat Hossain, Khawza Ahmed, Raqibul Mostafa, Leontios Hadjileontiadis, Ahsan Khandoker, Mathias Baumert
Publikováno v:
Frontiers in Neuroinformatics, Vol 13 (2019)
We propose event-related cortical sources estimation from subject-independent electroencephalography (EEG) recordings for motor imagery brain computer interface (BCI). By using wavelet-based maximum entropy on the mean (wMEM), task-specific EEG chann
Externí odkaz:
https://doaj.org/article/6a23d93bc19d47a5998252e9ffd97e59
Autor:
Ahsan H. Khandoker, Veena Luthra, Yousef Abouallaban, Simanto Saha, Khawza I. U. Ahmed, Raqibul Mostafa, Nayeefa Chowdhury, Herbert F. Jelinek
Publikováno v:
Frontiers in Physiology, Vol 8 (2017)
Physiological and psychological underpinnings of suicidal behavior remain ill-defined and lessen timely diagnostic identification of this subgroup of patients. Arterial stiffness is associated with autonomic dysregulation and may be linked to major d
Externí odkaz:
https://doaj.org/article/ef45285544bf49539099811bd0decda6
Publikováno v:
Healthcare Technology Letters (2016)
Electroencephalography (EEG) captures electrophysiological signatures of cortical events from the scalp with high-dimensional electrode montages. Usually, excessive sources produce outliers and potentially affect the actual event related sources. Bes
Externí odkaz:
https://doaj.org/article/02b33881a5914d1c984fb811d7ccf0ff
Autor:
Raqibul Mostafa, Sharmin Parveen, Ahsan H. Khandoker, Mohammad Abdul Mukit, Mohanad Alkhodari, Khawza I. Ahmed, Mamunur Rashid
Publikováno v:
IEEE Access, Vol 9, Pp 119171-119187 (2021)
Cardiovascular autonomic neuropathy (CAN) is one of the most overlooked complications associated with diabetes. It is characterized by damage in the autonomic nerves regulating heart rate and vascular compliance. Ewing battery is currently the diagno
Autor:
Ahsan H. Khandoker, Mohanad Alkhodari, Khawza I. Ahmed, Mamunur Rashid, Raqibul Mostafa, Abdul Mukit, Sharmin Parveen
Microvascular complications are one of the key causes of mortality among type-2 diabetic patients. This study was sought to investigate the use of a novel machine learning approach for predicting these complications from patient demographic, clinical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6e0a9d4dcd493b7814ea257ff5ddb2a
https://doi.org/10.20944/preprints202111.0303.v1
https://doi.org/10.20944/preprints202111.0303.v1
Autor:
Jeffrey H. Reed, Brian D. Woerner, William G. Newhall, Max Robert, Ramesh Chembil Palat, Ran Gozali, Raqibul Mostafa
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2005, Iss 16, Pp 2673-2685 (2005)
The design and implementation of the Virginia Tech Space-Time Advanced Radio (VT-STAR), a multiple antenna element space-time (ST) processing prototype testbed, is presented. The testbed is a research tool for comparing practical and theoretical perf
Externí odkaz:
https://doaj.org/article/336610f1f35e46c1a50cb25b76ee457e
Publikováno v:
IRBM. 40:157-166
Objective Fetal Electro Cardiogram (fECG) provides critical information on the wellbeing of a foetus heart in its developing stages in the mother's womb. The objective of this work is to extract fECG which is buried in a composite signal consisting o