Cargando…

EEG-fNIRS-based hybrid image construction and classification using CNN-LSTM

The constantly evolving human–machine interaction and advancement in sociotechnical systems have made it essential to analyze vital human factors such as mental workload, vigilance, fatigue, and stress by monitoring brain states for optimum performance and human safety. Similarly, brain signals have...

Descripción completa

Detalles Bibliográficos
Autores principales:	Mughal, Nabeeha Ehsan, Khan, Muhammad Jawad, Khalil, Khurram, Javed, Kashif, Sajid, Hasan, Naseer, Noman, Ghafoor, Usman, Hong, Keum-Shik
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9472125/ https://www.ncbi.nlm.nih.gov/pubmed/36119719 http://dx.doi.org/10.3389/fnbot.2022.873239

Ejemplares similares

Early Detection of Hemodynamic Responses Using EEG: A Hybrid EEG-fNIRS Study
por: Khan, M. Jawad, et al.
Publicado: (2018)

fNIRS-based brain-computer interfaces: a review
por: Naseer, Noman, et al.
Publicado: (2015)

Corrigendum “fNIRS-based brain-computer interfaces: a review”
por: Naseer, Noman, et al.
Publicado: (2015)

Hybrid EEG–fNIRS-Based Eight-Command Decoding for BCI: Application to Quadcopter Control
por: Khan, Muhammad Jawad, et al.
Publicado: (2017)

Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces
por: Hong, Keum-Shik, et al.
Publicado: (2018)

Systemic Review on Transcranial Electrical Stimulation Parameters and EEG/fNIRS Features for Brain Diseases
por: Yang, Dalin, et al.
Publicado: (2021)

fNIRS improves seizure detection in multimodal EEG-fNIRS recordings
por: Sirpal, Parikshat, et al.
Publicado: (2019)

LASSO Homotopy-Based Sparse Representation Classification for fNIRS-BCI
por: Gulraiz, Asma, et al.
Publicado: (2022)

Concurrent fNIRS and EEG for Brain Function Investigation: A Systematic, Methodology-Focused Review
por: Li, Rihui, et al.
Publicado: (2022)

Analysis of Human Gait Using Hybrid EEG-fNIRS-Based BCI System: A Review
por: Khan, Haroon, et al.
Publicado: (2021)

Motor Training Using Mental Workload (MWL) With an Assistive Soft Exoskeleton System: A Functional Near-Infrared Spectroscopy (fNIRS) Study for Brain–Machine Interface (BMI)
por: Asgher, Umer, et al.
Publicado: (2021)

Adaptive filtering of physiological noises in fNIRS data
por: Nguyen, Hoang-Dung, et al.
Publicado: (2018)

fNIRS-based Neurorobotic Interface for gait rehabilitation
por: Khan, Rayyan Azam, et al.
Publicado: (2018)

Measuring Mental Workload with EEG+fNIRS
por: Aghajani, Haleh, et al.
Publicado: (2017)

Analyzing Classification Performance of fNIRS-BCI for Gait Rehabilitation Using Deep Neural Networks
por: Hamid, Huma, et al.
Publicado: (2022)

Lateralization of music processing with noises in the auditory cortex: an fNIRS study
por: Santosa, Hendrik, et al.
Publicado: (2014)

An fNIRS-based investigation of visual merchandising displays for fashion stores
por: Liu, Xiaolong, et al.
Publicado: (2018)

Amplitude of fNIRS Resting-State Global Signal Is Related to EEG Vigilance Measures: A Simultaneous fNIRS and EEG Study
por: Chen, Yuxuan, et al.
Publicado: (2020)

System Derived Spatial-Temporal CNN for High-Density fNIRS BCI
Publicado: (2023)

CNN and LSTM-Based Emotion Charting Using Physiological Signals
por: Dar, Muhammad Najam, et al.
Publicado: (2020)

Enhancing Classification Performance of fNIRS-BCI by Identifying Cortically Active Channels Using the z-Score Method
por: Nazeer, Hammad, et al.
Publicado: (2020)

Decoding of four movement directions using hybrid NIRS-EEG brain-computer interface
por: Khan, M. Jawad, et al.
Publicado: (2014)

Wearable, Integrated EEG–fNIRS Technologies: A Review
por: Uchitel, Julie, et al.
Publicado: (2021)

Decoding Multiple Sound-Categories in the Auditory Cortex by Neural Networks: An fNIRS Study
por: Yoo, So-Hyeon, et al.
Publicado: (2021)

Single-trial lie detection using a combined fNIRS-polygraph system
por: Bhutta, M. Raheel, et al.
Publicado: (2015)

Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models
por: Shoeibi, Afshin, et al.
Publicado: (2021)

EEG-based emotion recognition using hybrid CNN and LSTM classification
por: Chakravarthi, Bhuvaneshwari, et al.
Publicado: (2022)

Multiscale Entropy as a New Feature for EEG and fNIRS Analysis
por: Angsuwatanakul, Thanate, et al.
Publicado: (2020)

Editorial: Techniques Advances and Clinical Applications in Fused EEG-fNIRS
por: Yuan, Zhen, et al.
Publicado: (2019)

Development of an Integrated EEG/fNIRS Brain Function Monitoring System
por: Mohamed, Manal, et al.
Publicado: (2021)

Novel fNIRS study on homogeneous symmetric feature-based transfer learning for brain–computer interface
por: Khalil, Khurram, et al.
Publicado: (2022)

Attention based automated radiology report generation using CNN and LSTM
por: Sirshar, Mehreen, et al.
Publicado: (2022)

Hybrid fNIRS-EEG based classification of auditory and visual perception processes
por: Putze, Felix, et al.
Publicado: (2014)

Neuronal correlates of spider phobia in a combined fNIRS-EEG study
por: Rosenbaum, David, et al.
Publicado: (2020)

Multimodal Autoencoder Predicts fNIRS Resting State From EEG Signals
por: Sirpal, Parikshat, et al.
Publicado: (2021)

Prefrontal dysfunction in post-COVID-19 hyposmia: an EEG/fNIRS study
por: Clemente, Livio, et al.
Publicado: (2023)

Open access dataset integrating EEG and fNIRS during Stroop tasks
por: Chen, Zemeng, et al.
Publicado: (2023)

Early-stage fusion of EEG and fNIRS improves classification of motor imagery
por: Li, Yang, et al.
Publicado: (2023)

Personality-Based Emotion Recognition Using EEG Signals with a CNN-LSTM Network
por: Hosseini, Mohammad Saleh Khajeh, et al.
Publicado: (2023)

Evaluation of Neural Degeneration Biomarkers in the Prefrontal Cortex for Early Identification of Patients With Mild Cognitive Impairment: An fNIRS Study
por: Yang, Dalin, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_m367k36q9fj0bfa346vepemhjt