Brain-computer interface: Advancement and challenges
Brain-Computer Interface (BCI) is an advanced and multidisciplinary active research domain
based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the …
based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the …
EEG-based BCIs on motor imagery paradigm using wearable technologies: a systematic review
In recent decades, the automatic recognition and interpretation of brain waves acquired by
electroencephalographic (EEG) technologies have undergone remarkable growth, leading …
electroencephalographic (EEG) technologies have undergone remarkable growth, leading …
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 …
Recent trends in EEG based Motor Imagery Signal Analysis and Recognition: A comprehensive review.
The electroencephalogram (EEG) motor imagery (MI) signals are the widespread paradigms
in the brain-computer interface (BCI). Its significant applications in the gaming, robotics, and …
in the brain-computer interface (BCI). Its significant applications in the gaming, robotics, and …
An EEG motor imagery dataset for brain computer interface in acute stroke patients
H Liu, P Wei, H Wang, X Lv, W Duan, M Li, Y Zhao… - Scientific Data, 2024 - nature.com
The brain-computer interface (BCI) is a technology that involves direct communication with
parts of the brain and has evolved rapidly in recent years; it has begun to be used in clinical …
parts of the brain and has evolved rapidly in recent years; it has begun to be used in clinical …
Comparison of automated machine learning (AutoML) tools for epileptic seizure detection using electroencephalograms (EEG)
S Lenkala, R Marry, SR Gopovaram, TC Akinci… - Computers, 2023 - mdpi.com
Epilepsy is a neurological disease characterized by recurrent seizures caused by abnormal
electrical activity in the brain. One of the methods used to diagnose epilepsy is through …
electrical activity in the brain. One of the methods used to diagnose epilepsy is through …
Toward a diagnostic CART model for Ischemic heart disease and idiopathic dilated cardiomyopathy based on heart rate total variability
A Accardo, L Restivo, M Ajčević, A Miladinović… - Medical & Biological …, 2022 - Springer
Diagnosis of etiology in early-stage ischemic heart disease (IHD) and dilated
cardiomyopathy (DCM) patients may be challenging. We aimed at investigating, by means of …
cardiomyopathy (DCM) patients may be challenging. We aimed at investigating, by means of …
A data-driven machine learning approach for brain-computer interfaces targeting lower limb neuroprosthetics
Prosthetic devices that replace a lost limb have become increasingly performant in recent
years. Recent advances in both software and hardware allow for the decoding of …
years. Recent advances in both software and hardware allow for the decoding of …
Selection of the minimum number of EEG sensors to guarantee biometric identification of individuals
Biometric identification uses person recognition techniques based on the extraction of some
of their physical or biological properties, which make it possible to characterize and …
of their physical or biological properties, which make it possible to characterize and …
Motor imagery classification based on EEG sensing with visual and vibrotactile guidance
Motor imagery (MI) is a technique of imagining the performance of a motor task without
actually using the muscles. When employed in a brain–computer interface (BCI) supported …
actually using the muscles. When employed in a brain–computer interface (BCI) supported …