Concurrent fNIRS and EEG for brain function investigation: a systematic, methodology-focused review

R Li, D Yang, F Fang, KS Hong, AL Reiss, Y Zhang - Sensors, 2022 - mdpi.com
Electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) stand as
state-of-the-art techniques for non-invasive functional neuroimaging. On a unimodal basis …

A narrative review illustrating the clinical utility of electroencephalogram-guided anesthesia care in children

CL Bong, GA Balanza, CEH Khoo, JSK Tan… - Anesthesia & …, 2023 - journals.lww.com
The major therapeutic end points of general anesthesia include hypnosis, amnesia, and
immobility. There is a complex relationship between general anesthesia, responsiveness …

Developing a robust model to predict depth of anesthesia from single channel EEG signal

I Alsafy, M Diykh - Physical and Engineering Sciences in Medicine, 2022 - Springer
Monitoring depth of anaesthesia (DoA) from electroencephalograph (EEG) signals is an
ongoing challenge for anaesthesiologists. In this study, we propose an intelligence model …

The most fundamental and popular literature on functional near-infrared spectroscopy: a bibliometric analysis of the top 100 most cited articles

J Li, Y Li, M Huang, D Li, T Wan, F Sun, Q Zeng… - Frontiers in …, 2024 - frontiersin.org
Background Functional near infrared spectroscopy (fNIRS) has developed rapidly in recent
years, and there are more and more studies on fNIRS. At present, there is no bibliometric …

Harnessing machine learning for EEG signal analysis: Innovations in depth of anaesthesia assessment

T Schmierer, T Li, Y Li - Artificial Intelligence in Medicine, 2024 - Elsevier
Anaesthesia, crucial to surgical practice, is undergoing renewed scrutiny due to the
integration of artificial intelligence in its medical use. The precise control over the temporary …

Classification of Three Anesthesia Stages Based on Near-Infrared Spectroscopy Signals

Z Liu, L Si, S Shi, J Li, J Zhu, WH Lee… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Proper monitoring of anesthesia stages can guarantee the safe performance of clinical
surgeries. In this study, different anesthesia stages were classified using near-infrared …

[HTML][HTML] Strategic Integration: A Cross-Disciplinary Review of the fNIRS-EEG Dual-Modality Imaging System for Delivering Multimodal Neuroimaging to Applications

J Chen, K Yu, Y Bi, X Ji, D Zhang - Brain Sciences, 2024 - mdpi.com
Background: Recent years have seen a surge of interest in dual-modality imaging systems
that integrate functional near-infrared spectroscopy (fNIRS) and electroencephalography …

Spatial complexity method for tracking brain development and degeneration using functional near-infrared spectroscopy

Z Liang, Y Wang, H Tian, Y Gu, T Arimitsu… - Biomedical Optics …, 2022 - opg.optica.org
Brain complexity analysis using functional near-infrared spectroscopy (fNIRS) has attracted
attention as a biomarker for evaluating brain development and degeneration processes …

[HTML][HTML] How general anesthetics work: from the perspective of reorganized connections within the brain

TJ Shin, PJ Kim, B Choi - Korean journal of anesthesiology, 2022 - synapse.koreamed.org
General anesthesia is critical for various procedures and surgeries. Despite the widespread
use of anesthetics, their precise mechanisms remain poorly understood. Anesthetics …

Stroke analysis and recognition in functional near-infrared spectroscopy signals using machine learning methods

T Gao, S Liu, X Wang, J Liu, Y Li, X Tang… - Biomedical Optics …, 2023 - opg.optica.org
Stroke is a high-incidence disease with high disability and mortality rates. It is a serious
public health problem worldwide. Shortened onset-to-image time is very important for the …