Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states
Brain–computer interfaces (BCIs) development is closely related to physics. In this paper, we
review the physical principles of BCIs, and underlying novel approaches for registration …
review the physical principles of BCIs, and underlying novel approaches for registration …
Compressed sensing approach for physiological signals: A review
The immense progress in physiological signal acquisition and processing in health
monitoring allowed a better understanding of patient disease detection and diagnosis. With …
monitoring allowed a better understanding of patient disease detection and diagnosis. With …
Trends in compressive sensing for EEG signal processing applications
The tremendous progress of big data acquisition and processing in the field of neural
engineering has enabled a better understanding of the patient's brain disorders with their …
engineering has enabled a better understanding of the patient's brain disorders with their …
A novel automated robust dual-channel EEG-based sleep scoring system using optimal half-band pair linear-phase biorthogonal wavelet filter bank
M Sharma, P Makwana, RS Chad, UR Acharya - Applied Intelligence, 2023 - Springer
Nowadays, the hectic work life of people has led to sleep deprivation. This may further result
in sleep-related disorders and adverse physiological conditions. Therefore, sleep study has …
in sleep-related disorders and adverse physiological conditions. Therefore, sleep study has …
Task-specific stimulation duration for fNIRS brain-computer interface
In this paper, the most effective stimulation durations in the visual, somatosensory, and
motor cortices are investigated. To evoke hemodynamic responses (HRs) for the purpose of …
motor cortices are investigated. To evoke hemodynamic responses (HRs) for the purpose of …
A systematic review of closed-loop feedback techniques in sleep studies—related issues and future directions
Advances in computer processing technology have enabled researchers to analyze real-
time brain activity and build real-time closed-loop paradigms. In many fields, the …
time brain activity and build real-time closed-loop paradigms. In many fields, the …
Enhancing the accuracy of electroencephalogram-based emotion recognition through Long Short-Term Memory recurrent deep neural networks
MR Yousefi, A Dehghani, H Taghaavifar - Frontiers in Human …, 2023 - frontiersin.org
Introduction Emotions play a critical role in human communication, exerting a significant
influence on brain function and behavior. One effective method of observing and analyzing …
influence on brain function and behavior. One effective method of observing and analyzing …
Radial basis function network with differential privacy
Differential privacy (DP) remains a potent solution to what is arguably the defining issue in
machine learning: balancing user privacy with an ever-increasing need for data …
machine learning: balancing user privacy with an ever-increasing need for data …
A comprehensive evaluation of contemporary methods used for automatic sleep staging
D Sarkar, D Guha, P Tarafdar, S Sarkar… - … Signal Processing and …, 2022 - Elsevier
This paper presents a systematic review of automatic sleep staging studies.
Polysomnographic (PSG) data is used for the study of sleep staging. The benchmark for …
Polysomnographic (PSG) data is used for the study of sleep staging. The benchmark for …
CSP-Net: Joint Compression and Classification Network for Epilepsy Seizure Prediction
Recent development in brain-machine interface technology has made seizure prediction
possible. However, the communication of large volume of electrophysiological signals …
possible. However, the communication of large volume of electrophysiological signals …