Search Results - "Saha, Simanto"
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Intra- and Inter-subject Variability in EEG-Based Sensorimotor Brain Computer Interface: A Review
Published in Frontiers in computational neuroscience (21-01-2020)“…Brain computer interfaces (BCI) for the rehabilitation of motor impairments exploit sensorimotor rhythms (SMR) in the electroencephalogram (EEG). However, the…”
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Progress in Brain Computer Interface: Challenges and Opportunities
Published in Frontiers in systems neuroscience (25-02-2021)“…Brain computer interfaces (BCI) provide a direct communication link between the brain and a computer or other external devices. They offer an extended degree…”
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Overcoming Uncertainties in Electrogram-Based Atrial Fibrillation Mapping: A Review
Published in Cardiovascular engineering and technology (01-02-2024)“…In clinical rhythmology, intracardiac bipolar electrograms (EGMs) play a critical role in investigating the triggers and substrates inducing and perpetuating…”
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Wavelet Entropy-Based Inter-subject Associative Cortical Source Localization for Sensorimotor BCI
Published in Frontiers in neuroinformatics (23-07-2019)“…We propose event-related cortical sources estimation from subject-independent electroencephalography (EEG) recordings for motor imagery brain computer…”
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Suicidal Ideation Is Associated with Altered Variability of Fingertip Photo-Plethysmogram Signal in Depressed Patients
Published in Frontiers in physiology (19-07-2017)“…Physiological and psychological underpinnings of suicidal behavior remain ill-defined and lessen timely diagnostic identification of this subgroup of patients…”
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Enhanced inter-subject brain computer interface with associative sensorimotor oscillations
Published in Healthcare technology letters (01-02-2017)“…Electroencephalography (EEG) captures electrophysiological signatures of cortical events from the scalp with high-dimensional electrode montages. Usually,…”
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Evidence of Variabilities in EEG Dynamics During Motor Imagery-Based Multiclass Brain-Computer Interface
Published in IEEE transactions on neural systems and rehabilitation engineering (01-02-2018)“…Inter-subject and inter-session variabilities pose a significant challenge in electroencephalogram (EEG)-based brain-computer interface (BCI) systems…”
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Can Inter-Subject Associativity Predict Data-Driven BCI Performance?
Published in 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (01-01-2023)“…Intra- and inter-subject variability causes covariate shifts in training and testing feature spaces, resulting in low sensorimotor (SMR) brain-computer…”
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Conference Proceeding Journal Article -
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Beamforming-inspired Spatial Filtering Technique for Intracardiac Electrograms
Published in 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (01-07-2019)“…Bipolar electrograms (EGM) are widely used to assess intracardiac electrical activity and to find the atrial fibrillation-related sources. However, the…”
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Conference Proceeding Journal Article -
10
IoT Based Healthcare with a Non-Invasive Diabetes Testing System
Published in 2023 26th International Conference on Computer and Information Technology (ICCIT) (13-12-2023)“…Invasive diabetes testing methods offer limitations such as discomfort, infection risk, delayed findings, and a lack of real-time monitoring. There are…”
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Conference Proceeding -
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Time-Embedded EEG Sequence Learning for Comatose Patients' Prognosis
Published in 2023 Computing in Cardiology (CinC) (01-10-2023)“…In an intensive care unit (ICU), an accurate prognosis of comatose patients' recovery is critical for ongoing medical interventions. Patient prognosis guides…”
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Conference Proceeding -
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Wavelet coherence based channel selection for classifying single trial motor imagery
Published in 2016 9th International Conference on Electrical and Computer Engineering (ICECE) (01-12-2016)“…Multi-channel electroencephalography (EEG) recordings require excessive computation and sometimes engender outliers, which make brain computer interface (BCI)…”
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Conference Proceeding -
13
A Ventricular Far-Field Artefact Filtering Technique for Atrial Electrograms
Published in 2019 Computing in Cardiology (CinC) (01-09-2019)“…Intracardiac atrial electrograms (EGM) are prone to ventricular far-field potentials due to ventricular depolarization. In this study, a filtering technique…”
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Conference Proceeding -
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Efficient event related oscillatory pattern classification for EEG based BCI utilizing spatial brain dynamics
Published in 8th International Conference on Electrical and Computer Engineering (01-12-2014)“…This paper features the spatial characteristics of the brain towards brain-computer interface (BCI) research. A study on motor imagery (MI) based BCI has been…”
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Conference Proceeding -
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Unifying sensorimotor dynamics in multiclass brain computer interface
Published in 2016 5th International Conference on Informatics, Electronics and Vision (ICIEV) (01-05-2016)“…Unification of spatial brain dynamics in multiclass brain computer interface (BCI) paradigm reduces computational latencies by using lesser number of…”
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Conference Proceeding -
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cMEM-based motor imagery induced cortical source localization for computationally efficient brain computer interface
Published in 2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC) (01-12-2017)“…Localization of task-induced cortical sources plays a crucial role for an efficient design of brain computer interface (BCI) while reducing computational cost…”
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Conference Proceeding -
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Prototyping Arduino and Android based m-health solution for diabetes mellitus patient
Published in 2016 International Conference on Medical Engineering, Health Informatics and Technology (MediTec) (01-12-2016)“…Diabetes mellitus is a chronic disease and its prolonged existence may cause proliferation of diverse abnormalities in human physiological system. Maintaining…”
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Conference Proceeding -
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Progress in Brain Computer Interfaces: Challenges and Trends
Published 11-01-2019“…Brain computer interfaces (BCI) provide a direct communication link between the brain and a computer or other external devices. They offer an extended degree…”
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Journal Article -
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Application of wavelet-based maximum entropy on the mean in channel optimization for BCI
Published in 2016 International Conference on Medical Engineering, Health Informatics and Technology (MediTec) (01-12-2016)“…Localizing event-related cortical sources is a key factor while developing a computationally efficient Brain Computer Interface (BCI). This paper proposes a…”
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Conference Proceeding