[HTML][HTML] Internet of medical things and healthcare 4.0: Trends, requirements, challenges, and research directions
Healthcare 4.0 is a recent e-health paradigm associated with the concept of Industry 4.0. It
provides approaches to achieving precision medicine that delivers healthcare services …
provides approaches to achieving precision medicine that delivers healthcare services …
[HTML][HTML] State-of-the-art on brain-computer interface technology
J Peksa, D Mamchur - Sensors, 2023 - mdpi.com
This paper provides a comprehensive overview of the state-of-the-art in brain–computer
interfaces (BCI). It begins by providing an introduction to BCIs, describing their main …
interfaces (BCI). It begins by providing an introduction to BCIs, describing their main …
[HTML][HTML] From brain to movement: Wearables-based motion intention prediction across the human nervous system
Fueled by the recent proliferation of energy-efficient and energy-autonomous or self-
powered nanotechnology-based wearable smart systems, human motion intention …
powered nanotechnology-based wearable smart systems, human motion intention …
[HTML][HTML] Implementation of artificial intelligence and machine learning-based methods in brain–computer interaction
K Barnova, M Mikolasova, RV Kahankova… - Computers in Biology …, 2023 - Elsevier
Brain–computer interfaces are used for direct two-way communication between the human
brain and the computer. Brain signals contain valuable information about the mental state …
brain and the computer. Brain signals contain valuable information about the mental state …
[HTML][HTML] Enhancing cross-subject motor imagery classification in EEG-based brain–computer interfaces by using multi-branch CNN
A brain–computer interface (BCI) is a computer-based system that allows for communication
between the brain and the outer world, enabling users to interact with computers using …
between the brain and the outer world, enabling users to interact with computers using …
Emotionkd: a cross-modal knowledge distillation framework for emotion recognition based on physiological signals
Emotion recognition using multi-modal physiological signals is an emerging field in affective
computing that significantly improves performance compared to unimodal approaches. The …
computing that significantly improves performance compared to unimodal approaches. The …
A new one-dimensional testosterone pattern-based EEG sentence classification method
Electroencephalography (EEG) signals are crucial data to understand brain activities. Thus,
many papers have been proposed about EEG signals. In particular, machine learning …
many papers have been proposed about EEG signals. In particular, machine learning …
Decoding the continuous motion imagery trajectories of upper limb skeleton points for EEG-based brain–computer interface
In the field of brain–computer interface (BCI), brain decoding using electroencephalography
(EEG) is an essential direction, and motion imagery EEG-based BCI can not only help …
(EEG) is an essential direction, and motion imagery EEG-based BCI can not only help …
Influencing brain waves by evoked potentials as biometric approach: taking stock of the last six years of research
The scientific advances of recent years have made available to anyone affordable hardware
devices capable of doing something unthinkable until a few years ago, the reading of brain …
devices capable of doing something unthinkable until a few years ago, the reading of brain …
[HTML][HTML] Current Trends, Challenges, and Future Research Directions of Hybrid and Deep Learning Techniques for Motor Imagery Brain–Computer Interface
E Lionakis, K Karampidis, G Papadourakis - … Technologies and Interaction, 2023 - mdpi.com
The field of brain–computer interface (BCI) enables us to establish a pathway between the
human brain and computers, with applications in the medical and nonmedical field. Brain …
human brain and computers, with applications in the medical and nonmedical field. Brain …