Zobrazeno 1 - 10
of 2 884
pro vyhledávání: '"EEG signals"'
Publikováno v:
Journal of Translational Medicine, Vol 22, Iss 1, Pp 1-13 (2024)
Abstract Background Epilepsy is a prevalent neurological disorder in which seizures cause recurrent episodes of unconsciousness or muscle convulsions, seriously affecting the patient’s work, quality of life, and health and safety. Timely prediction
Externí odkaz:
https://doaj.org/article/b5abd17fda94463d958f51c44f545606
Publikováno v:
Eng, Vol 5, Iss 3, Pp 1708-1736 (2024)
This study harnesses EEG signals to enable the real-time control of servo motors, utilizing the OpenBCI Community Dataset to identify and assess brainwave patterns related to motor imagery tasks. Specifically, the dataset includes EEG data from 52 su
Externí odkaz:
https://doaj.org/article/4ced32df34a94d4bbb36e0d2db2fcd79
Publikováno v:
Frontiers in Signal Processing, Vol 4 (2024)
Externí odkaz:
https://doaj.org/article/8f1b958127f14512831819979ed02e97
Autor:
Haewon Byeon, Aadam Quraishi, Mohammed I. Khalaf, Sunil MP, Ihtiram Raza Khan, Ashit Kumar Dutta, Rakeshnag Dasari, Ramswaroop Reddy Yellu, Faheem Ahmad Reegu, Mohammed Wasim Bhatt
Publikováno v:
SLAS Technology, Vol 29, Iss 5, Pp 100187- (2024)
One kind of autonomous vehicle that can take instructions from the driver by reading their electroencephalogram (EEG) signals using a Brain-Computer Interface (BCI) is called a Brain-Controlled Vehicle (BCV). The operation of such a vehicle is greatl
Externí odkaz:
https://doaj.org/article/59900e4a8a974f9d9ad9d206f7c04987
Publikováno v:
Signals, Vol 5, Iss 2, Pp 244-263 (2024)
Confusion emotion in a learning environment can motivate the learner, but prolonged confusion hinders the learning process. Recognizing confused learners is possible; nevertheless, finding them requires a lot of time and effort. Due to certain restri
Externí odkaz:
https://doaj.org/article/6df03663f61b4716a7a4b7f966b8ef98
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract When traditional EEG signals are collected based on the Nyquist theorem, long-time recordings of EEG signals will produce a large amount of data. At the same time, limited bandwidth, end-to-end delay, and memory space will bring great pressu
Externí odkaz:
https://doaj.org/article/8d888f67794d4dfb9e8544ebd4ed8b46
Autor:
Chirag Ahuja, Divyashikha Sethia
Publikováno v:
Frontiers in Human Neuroscience, Vol 18 (2024)
This paper presents a systematic literature review, providing a comprehensive taxonomy of Data Augmentation (DA), Transfer Learning (TL), and Self-Supervised Learning (SSL) techniques within the context of Few-Shot Learning (FSL) for EEG signal class
Externí odkaz:
https://doaj.org/article/76ef1fdf02ad441ea134d7fb07aa695d
Autor:
Hawraa Razzaq Abed Alameer, Pedram Salehpour, Seyyed Hadi Aghdasi, Mohammad-Reza Feizi-Derakhshi
Publikováno v:
IEEE Access, Vol 12, Pp 130241-130252 (2024)
Nowadays, due to individual differences and the non-stationarity properties of EEG signals, developing an accurate cross-subject EEG emotion recognition method is in demand. Despite many successful attempts, the accuracy of generalized models across
Externí odkaz:
https://doaj.org/article/f0412e1803c049a695757156ea71274f
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 1466-1476 (2024)
The electroencephalogram-based (EEG) brain-computer interface (BCI) has garnered significant attention in recent research. However, the practicality of EEG remains constrained by the lack of efficient EEG decoding technology. The challenge lies in ef
Externí odkaz:
https://doaj.org/article/0da6e0d7c8e7441cb42de09b566a447f
Publikováno v:
IEEE Access, Vol 12, Pp 46401-46409 (2024)
Based on self-determination theory, this study examined the mental and emotional states of final year Science and Engineering undergraduates in career change considerations. While prior work has explored students’ career choice, career change inten
Externí odkaz:
https://doaj.org/article/02152fe3a8d24a239314f9a0544b6572