Results 251 to 260 of about 309,712 (273)

Recognition of two emotional states of joy and sadness using phase lag index and SVM classifier

2016 23rd Iranian Conference on Biomedical Engineering and 2016 1st International Iranian Conference on Biomedical Engineering (ICBME), 2016
Due to the preceding studies in recent years, emotion recognition has not been done only by using local features of a single channel. Since the process of hearing and understanding it, requires the cooperation of different brain regions, it is expected that investigation of brain connectivity among channels can be an appropriate tool for emotion ...
Zahra Tabanfar, Farzaneh Yousefipoor, Mohammad Firoozabadi, Zeynab Khodakarami, Zeinab Shankayi   +4 more
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Sex Difference in EEG Functional Connectivity during Sleep Stages and Resting Wake State Based on Weighted Phase Lag Index

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019
Men and women were reported to be different in brain structure and sleep patterns. Here we analyzed the region, sleep stage and frequency band-specific EEG synchronization intensity of whole night sleep recording of 14 male and 14 age-matched female subjects by calculating weighted phase lag indexes.
Yuanyuan, Liao, Guolin, Zhou, Yu-Xi, Luo
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Compact, linear, lead/lag phase shifters using negative refractive index metamaterials

2003
370
Antoniades, Marcos A., Eleftheriades, G. V., Antoniades, Marcos A., Eleftheriades, G. V.   +3 more
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Approaches of Phase Lag Index to EEG Signals in Alzheimer’s Disease from Complex Network Analysis

2015
The brain is organized as neuronal assemblies with hierarchies of complex network connectivity, and its function is consider to be arisen by synchronized rhythmical firing of neurons. Recently, it is suggested that some of the mental disorders are related to the alterations in the network connectivity in the brain and/or of the strength on synchronized
Shinya Kasakawa, Teruya Yamanishi, Tetsuya Takahashi, Kanji Ueno, Mitsuru Kikuchi, Haruhiko Nishimura   +5 more
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Phase Lag Index Histogram Features for Identifying Epileptic Seizure EEG Signals

2021 IEEE 10th Global Conference on Consumer Electronics (GCCE), 2021
Masashi Nishiyama, Yoshio Iwai, Masayoshi Oguri, Yoshihiro Maegaki   +3 more
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P78. Can Phase Lag Index (PLI) be beneficial in distinguishing Parkinsons disease Dementia (PDD) patients from Parkinsons disease (PD) patients?

Clinical Neurophysiology, 2018
Aims To find the best EEG parameters to discriminate between Parkinson’s disease (PD) and Parkinson’s Disease Dementia (PDD) patients and to evaluate the significance of Phase Lag Index as a parameter for classification of PD and PDD patients, in contrast to the use of frequency-band power measures alone.
M. Chaturvedi, J.G. Bogaarts, F. Hatz, V. Cozac, A. Meyer, U. Gschwandtner, I. Liepelt-Scarfone, C. Babiloni, P. Fuhr, V. Roth   +9 more
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Identifying EEG Responses Modulated by Working Memory Loads from Weighted Phase Lag Index Based Functional Connectivity Microstates

2019
Working-memory training has been viewed as an important intervention way to improve the working memory capacity of children’s brain. However, effective electroencephalogram (EEG) features and channel sites correlated with working memory loads still need to be identified for future application to brain-computer interface (BCI) system. In this experiment,
Li Zhang, Bo Shi, Mingna Cao, Sai Zhang, Yiming Dai, Yanmei Zhu   +5 more
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Phase Lag Index of Visual-Memory Processing EEG for Computer-Aided AUD Diagnosis

Proceedings of the 2023 9th International Conference on Computer Technology Applications, 2023
Nur Zahrati Janah, Adhistya Erna Permanasari, Noor Akhmad Setiawan   +2 more
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Dissociable neural connectivity patterns for decision and outcome phases in the stag hunt game: evidence from electroencephalography weighted phase lag index analysis

NeuroReport
This study aimed to investigate phase-based functional connectivity during decision-making and outcome evaluation in the stag hunt game using electroencephalography (EEG). Thirty-five healthy participants completed a repeated stag hunt task while EEG was recorded. Functional connectivity was assessed using the weighted phase lag index.
Xianjia Wang, Wei Cui
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EEG Functional Connectivity During Instructed Deception Using Weighted Phase Lag Index and Graph Theory Analysis

SSRN Electronic Journal, 2022
Somayeh Mashatan, Farnaz Ghassemi
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