EEG-based brain-computer interfaces (BCIs): A survey of recent studies on signal sensing technologies and computational intelligence approaches and their …
Brain-Computer interfaces (BCIs) enhance the capability of human brain activities to interact
with the environment. Recent advancements in technology and machine learning algorithms …
with the environment. Recent advancements in technology and machine learning algorithms …
A comprehensive survey on the biometric recognition systems based on physiological and behavioral modalities
Biometrics is the branch of science that deals with the identification and verification of an
individual based on the physiological and behavioral traits. These traits or identifiers are …
individual based on the physiological and behavioral traits. These traits or identifiers are …
Adaptive transfer learning-based multiscale feature fused deep convolutional neural network for EEG MI multiclassification in brain–computer interface
AM Roy - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Abstract Objective. Deep learning (DL)-based brain–computer interface (BCI) in motor
imagery (MI) has emerged as a powerful method for establishing direct communication …
imagery (MI) has emerged as a powerful method for establishing direct communication …
Time series forecasting of Covid-19 using deep learning models: India-USA comparative case study
Covid-19 is a highly contagious virus which almost freezes the world along with its economy.
Its ability of human-to-human and surface-to-human transmission turns the world into …
Its ability of human-to-human and surface-to-human transmission turns the world into …
Deploying machine and deep learning models for efficient data-augmented detection of COVID-19 infections
A Sedik, AM Iliyasu, B Abd El-Rahiem… - Viruses, 2020 - mdpi.com
This generation faces existential threats because of the global assault of the novel Corona
virus 2019 (ie, COVID-19). With more than thirteen million infected and nearly 600000 …
virus 2019 (ie, COVID-19). With more than thirteen million infected and nearly 600000 …
An efficient multi-scale CNN model with intrinsic feature integration for motor imagery EEG subject classification in brain-machine interfaces
AM Roy - Biomedical Signal Processing and Control, 2022 - Elsevier
Objective Electroencephalogram (EEG) based motor imagery (MI) classification is an
important aspect in brain-machine interfaces (BMIs) which bridges between neural system …
important aspect in brain-machine interfaces (BMIs) which bridges between neural system …
Emerging wearable interfaces and algorithms for hand gesture recognition: A survey
Hands are vital in a wide range of fundamental daily activities, and neurological diseases
that impede hand function can significantly affect quality of life. Wearable hand gesture …
that impede hand function can significantly affect quality of life. Wearable hand gesture …
Security and privacy for the internet of medical things enabled healthcare systems: A survey
With the increasing demands on quality healthcare and the raising cost of care, pervasive
healthcare is considered as a technological solutions to address the global health issues. In …
healthcare is considered as a technological solutions to address the global health issues. In …
Towards design and implementation of security and privacy framework for Internet of Medical Things (IoMT) by leveraging blockchain and IPFS technology
R Kumar, R Tripathi - the Journal of Supercomputing, 2021 - Springer
Abstract The Internet of Medical Things (IoMT) is the next frontier in the digital revolution and
it leverages IoT in the healthcare domain. The underlying technology has changed the …
it leverages IoT in the healthcare domain. The underlying technology has changed the …
A one-dimensional CNN-LSTM model for epileptic seizure recognition using EEG signal analysis
G Xu, T Ren, Y Chen, W Che - Frontiers in neuroscience, 2020 - frontiersin.org
Frequent epileptic seizures cause damage to the human brain, resulting in memory
impairment, mental decline, and so on. Therefore, it is important to detect epileptic seizures …
impairment, mental decline, and so on. Therefore, it is important to detect epileptic seizures …