Application and Development of EEG Acquisition and Feedback Technology: A Review

Y Qin, Y Zhang, Y Zhang, S Liu, X Guo - Biosensors, 2023 - mdpi.com
This review focuses on electroencephalogram (EEG) acquisition and feedback technology
and its core elements, including the composition and principles of the acquisition devices, a …

Biofeedback methodology: A narrative review

V Vasilyev, V Borisov, A Syskov - 2019 International Multi …, 2019 - ieeexplore.ieee.org
In this paper, we review the state of biofeedback methodology 50 years after its inception,
with the objective to facilitate well-informed, scientific discourses around the topic. The …

A Raspberry Pi-based traumatic brain injury detection system for single-channel electroencephalogram

NS Dhillon, A Sutandi, M Vishwanath, MM Lim, H Cao… - Sensors, 2021 - mdpi.com
Traumatic Brain Injury (TBI) is a common cause of death and disability. However, existing
tools for TBI diagnosis are either subjective or require extensive clinical setup and expertise …

An Autonomous Sleep-Stage Detection Technique in Disruptive Technology Environment

BL Radhakrishnan, K Ezra, IJ Jebadurai, I Selvakumar… - Sensors, 2024 - mdpi.com
Autonomous sleep tracking at home has become inevitable in today's fast-paced world. A
crucial aspect of addressing sleep-related issues involves accurately classifying sleep …

EEG-EMG based bio-robotics elbow orthotics control

FA Ferdiansyah, P Prajitno… - Journal of Physics …, 2020 - iopscience.iop.org
Brain-computer interface (BCI) or also its advancement, hybrid brain-computer interface
(hBCI), is a technology that is vastly developed. This technology has been used in many …

BEATS: An open-source, high-precision, multi-channel EEG acquisition tool system

B Zou, Y Zheng, M Shen, Y Luo, L Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Stable and accurate electroencephalogram (EEG) signal acquisition is fundamental in non-
invasive brain-computer interface (BCI) technology. Commonly used EEG acquisition …

Development of multithread acquisition system for high quality EEG signal measurement

W Apriadi, HS Gani, P Prayitno… - Journal of Physics …, 2021 - iopscience.iop.org
This work was concerned on development of the EEG acquisition and EEG signal
processing by adding active electrodes and implementing multithread techniques. By using …

A review of automatic detection of epilepsy based on EEG signals

Q Ren, X Sun, X Fu, S Zhang, Y Yuan… - Journal of …, 2023 - iopscience.iop.org
Epilepsy is a common neurological disorder that occurs at all ages. Epilepsy not only brings
physical pain to patients, but also brings a huge burden to the lives of patients and their …

Emotions Recognition Based on Physiological Signals Using Machine Learning Techniques

T Kumar, RC Singh, R Kumar - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Emotion recognition through Electroence-phalogram (EEG) involves identifying and
understanding emotions by analysing the brain's electrical activity. Electroencephalogram …

Detection of traumatic brain injury using single channel electroencephalogram in mice

A Sutandi, N Dhillon, M Lim, H Cao… - 2020 IEEE Signal …, 2020 - ieeexplore.ieee.org
Preclinical studies of traumatic brain injury (TBI) are often performed using a murine model
of mild traumatic brain injury (mTBI) due to highly controlled settings and high reproducibility …