Signal processing methods for mental fatigue measurement and monitoring using EEG

Signal processing methods for mental fatigue measurement and monitoring using EEG

Ph.D

Saved in:

書目詳細資料
主要作者:	SHEN KAIQUAN
其他作者:	MECHANICAL ENGINEERING
格式:	Theses and Dissertations
語言:	English
出版:	2011
主題:	Mental fatigue, EEG, signal processing, feature selection, artifact removal, support vector machine
在線閱讀:	https://scholarbank.nus.edu.sg/handle/10635/28288
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

相似書籍

EEG-based mental fatigue measurement using multi-class support vector machines with confidence estimate
由: Shen, K.-Q., et al.
出版: (2011)

A feature selection method for multilevel mental fatigue EEG classification
由: Shen, K.-Q., et al.
出版: (2011)

Development of EEG method for mental fatigue measurement
由: PANG YUANYUAN
出版: (2010)

Automatic identification and removal of artifacts in EEG using a probabilistic multi-class SVM approach with error correction
由: Shao, S.-Y., et al.
出版: (2014)

DEVELOPMENT OF NEUROPHYSIOLOGICAL APPROACHES FOR MONITORING AND INTERVENING MENTAL FATIGUE
由: BUI HA DUC
出版: (2014)

Measuring Kolmogorov entropy of EEG for studying the state of mental fatigue
由: Zhang, L.-Y., et al.
出版: (2014)

Automatic EEG artifact removal: A weighted support vector machine approach with error correction
由: Shao, S.-Y., et al.
出版: (2011)

ARTIFACT CHARACTERIZATION, DETECTION AND REMOVAL FROM NEURAL SIGNALS
由: MD KAFIUL ISLAM
出版: (2015)

Computation for EEG Brain Activity Identification
由: ZHENG HUI
出版: (2010)

Independent component analysis, the validation on volume conductor platform and the application in automatic artifacts removal and source locating of egg signals
由: CAO CHENG
出版: (2010)

Feature selection via sensitivity analysis of SVM probabilistic outputs
由: Shen, K.-Q., et al.
出版: (2011)

Saliency analysis of support vector machines for gene selection in tissue classification
由: Cao, L., et al.
出版: (2016)

Novel tools for driving fatigue prediction: (1) Dry eeg sensor and (2) eye tracker
由: Tey, F., et al.
出版: (2014)

EEG-based measure of cognitive workload during a mental arithmetic task
由: Rebsamen, B., et al.
出版: (2014)

Novel multi-class feature selection methods using sensitivity analysis of posterior probabilities
由: Shen, K.-Q., et al.
出版: (2011)

EEG-based cross-subject mental fatigue recognition
由: Liu, Yisi, et al.
出版: (2021)

Analysis and processing of in-vivo neural signal for artifact detection and removal
由: Islam, M.K., et al.
出版: (2014)

EEG-based evaluation of mental fatigue using machine learning algorithms
由: Liu, Yisi, et al.
出版: (2021)

Feature selection using stochastic search: An application to system identification
由: Saitta, S., et al.
出版: (2013)

New feature selection method for multi-channel EEG epileptic spike detection system
由: Nguyen, Thi Anh Dao, et al.
出版: (2020)

Approaches for efficient tool condition monitoring based on support vector machine
由: SUN JIE
出版: (2010)

Effect of ocular artifact removal in brain computer interface accuracy
由: THULASIDAS, Manoj, et al.
出版: (2004)

Detection and removal of lighting & shaking artifacts in home videos
由: Yan, W.-Q., et al.
出版: (2013)

Detection and removal of lighting & shaking artifacts in home videos
由: Yan, W.-Q., et al.
出版: (2014)

H∞ adaptive filters for eye blink artifact minimization from electroencephalogram
由: Puthusserypady, S., et al.
出版: (2014)

Electroencephalographic Studies of Human Pain Perception
由: SHAO SHIYUN
出版: (2011)

Driving Fatigue Classification Based on Fusion Entropy Analysis Combining EOG and EEG
由: Wang, H., et al.
出版: (2021)

Bayesian approach to support vector machines
由: CHU WEI
出版: (2010)

Least-squares support vector machine approach to viral replication origin prediction
由: Cruz-Cano, R., et al.
出版: (2014)

Saliency analysis of support vector machines for feature selection
由: Tay, F.E.H., et al.
出版: (2014)

Physiological mental fatigue analysis based on multichannel electroencephalogram features
由: Zhang, C., et al.
出版: (2014)

Functional neuroimaging of circadian fatigue
由: Duc, B.H., et al.
出版: (2014)

Study of circadian mental fatigue by fMRI
由: ZHOU WEI
出版: (2011)

Modelling and Classification of Motor Imagery EEG for BCI
由: LI XINYANG
出版: (2014)

Evaluation of mental fatigue in pipe cutting and pipe machining workby fuzzy set
由: Sriruk Srithongchai
出版: (2012)

Physiological mental fatigue analysis based on multichannel linear descriptor
由: Zhang, C., et al.
出版: (2014)

COMPUTATIONAL INTELLIGENCE FOR BRAIN COMPUTER INTERFACE
由: GOH SIM KUAN
出版: (2019)

Mid-Task Physical Exercise Keeps Your Mind Vigilant: Evidences from Behavioral Performance and EEG Functional Connectivity
由: Gao, Lingyun, et al.
出版: (2022)

Feature selection using probabilistic prediction of support vector regression
由: Yang, J.-B., et al.
出版: (2014)

Feature selection for support vector regression using probabilistic prediction
由: Yang, J.-B., et al.
出版: (2014)