Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Khawza I. Ahmed"'
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
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd56dc60e4e92e0b3bd6a9cb5bad102f
https://ieeexplore.ieee.org/document/9521895/
https://ieeexplore.ieee.org/document/9521895/
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:
Haider Adnan Khan, Mainul Haque, Abdullah Al Helal, Khawza I. Ahmed, Abu Sayeed Ahsanul Huque
Publikováno v:
Signal and Image Processing Letters. 1:1-10
This paper evaluates and compares the performance of K-Nearest Neighbors (KNN), Support Vector Machine (SVM) and Sparse Representation Classifier (SRC) for recognition of isolated Arabic handwritten characters. The proposed framework converts the gra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a2d61d80cf2541f89f91df9bd15a785
https://doi.org/10.31763/simple.v1i2.1
https://doi.org/10.31763/simple.v1i2.1
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1fff78ad830b5ba3d3a02728b3d146d
https://doi.org/10.1016/j.irbm.2019.04.004
https://doi.org/10.1016/j.irbm.2019.04.004
Autor:
Khawza I. Ahmed, Ahsan H. Khandoker, Tuba Ahmed, Mohammad Abdul Mukit, Raqibul Mostafa, Sharmin Parveen
Publikováno v:
2020 IEEE Region 10 Symposium (TENSYMP).
Microvascular complications are one of the roots of mortality among type II diabetes mellitus (T2DM) patients. The aim of the study is to determine the significance of the sleep segment from a 24-hour Holter ECG recording and to show the variation be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d7f222fb7f71d810a2b86743e22e33b
https://doi.org/10.1109/tensymp50017.2020.9231020
https://doi.org/10.1109/tensymp50017.2020.9231020
Autor:
Simanto Saha, Khawza I. Ahmed, Raqibul Mostafa, Leontios J. Hadjileontiadis, Ahsan H. Khandoker
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering. 26:371-382
Inter-subject and inter-session variabilities pose a significant challenge in electroencephalogram (EEG)-based brain-computer interface (BCI) systems. Furthermore, high dimensional EEG montages introduce huge computational burden due to excessive num
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c058d05ca6853f7a0ec32bed925f1cb
https://doi.org/10.1109/tnsre.2017.2778178
https://doi.org/10.1109/tnsre.2017.2778178
Autor:
Raqibul Mostafa, Leontios J. Hadjileontiadis, Simanto Saha, Khawza I. Ahmed, Ahsan H. Khandoker
Publikováno v:
Healthcare Technology Letters
Healthcare Technology Letters (2016)
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://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c7436b81260817391035bdf796abfd9
http://europepmc.org/articles/PMC5435948
http://europepmc.org/articles/PMC5435948
Autor:
Ahsan H. Khandoker, Khawza I. Ahmed, Md. Shakhawat Hossain, Raqibul Mostafa, Leontios J. Hadjileontiadis, Mathias Baumert, Simanto Saha
Publikováno v:
Frontiers in Neuroinformatics
Frontiers in Neuroinformatics, Vol 13 (2019)
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://explore.openaire.eu/search/publication?articleId=doi_dedup___::ded1483833f8366d92345d5b1810d467
https://pubmed.ncbi.nlm.nih.gov/31396068
https://pubmed.ncbi.nlm.nih.gov/31396068