Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Simanto Saha"'
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:
Simanto Saha, Mathias Baumert
Publikováno v:
Frontiers in Computational Neuroscience, Vol 13 (2020)
Brain computer interfaces (BCI) for the rehabilitation of motor impairments exploit sensorimotor rhythms (SMR) in the electroencephalogram (EEG). However, the neurophysiological processes underpinning the SMR often vary over time and across subjects.
Externí odkaz:
https://doaj.org/article/d3efaaad12fe419abaec57c495538dc9
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
Publikováno v:
EMBC
Bipolar electrograms (EGM) are widely used to assess intracardiac electrical activity and to find the atrial fibrillation-related sources. However, the interpretation of bipolar EGM is not straightforward. Variables including bipolar lead (vector) or
Publikováno v:
2019 Computing in Cardiology Conference (CinC).
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
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
Autor:
Kadhim Kadhim, Mathias Baumert, Prashanthan Sanders, Simanto Saha, R Kutieleh, Dominik Linz, Dennis H. Lau
Publikováno v:
European Heart Journal. 40
Background In patients with atrial fibrillation (AF), local atrial bipolar electrograms (EGM) are clinically used to determine peak-to-peak voltage (Vpp), dominant frequency (DF) and Shannon Entropy (ShEn) for electroanatomical substrate characteriza