248 related articles for article (PubMed ID: 35808261)
1. Drowsiness Detection Using Ocular Indices from EEG Signal.
Tarafder S; Badruddin N; Yahya N; Nasution AH
Sensors (Basel); 2022 Jun; 22(13):. PubMed ID: 35808261
[TBL] [Abstract][Full Text] [Related]
2. Multimodal analysis of electroencephalographic and electrooculographic signals.
ElSayed NE; Tolba AS; Rashad MZ; Belal T; Sarhan S
Comput Biol Med; 2021 Oct; 137():104809. PubMed ID: 34517160
[TBL] [Abstract][Full Text] [Related]
3. Simultaneous Eye Blink Characterization and Elimination From Low-Channel Prefrontal EEG Signals Enhances Driver Drowsiness Detection.
Shahbakhti M; Beiramvand M; Rejer I; Augustyniak P; Broniec-Wojcik A; Wierzchon M; Marozas V
IEEE J Biomed Health Inform; 2022 Mar; 26(3):1001-1012. PubMed ID: 34260361
[TBL] [Abstract][Full Text] [Related]
4. An Electro-Oculogram (EOG) Sensor's Ability to Detect Driver Hypovigilance Using Machine Learning.
Murugan S; Sivakumar PK; Kavitha C; Harichandran A; Lai WC
Sensors (Basel); 2023 Mar; 23(6):. PubMed ID: 36991654
[TBL] [Abstract][Full Text] [Related]
5. A Hybrid Approach to Detect Driver Drowsiness Utilizing Physiological Signals to Improve System Performance and Wearability.
Awais M; Badruddin N; Drieberg M
Sensors (Basel); 2017 Aug; 17(9):. PubMed ID: 28858220
[TBL] [Abstract][Full Text] [Related]
6. Automated FBSE-EWT based learning framework for detection of epileptic seizures using time-segmented EEG signals.
Anuragi A; Sisodia DS; Pachori RB
Comput Biol Med; 2021 Sep; 136():104708. PubMed ID: 34358996
[TBL] [Abstract][Full Text] [Related]
7. An Efficient Approach for Driver Drowsiness Detection at Moderate Drowsiness Level Based on Electroencephalography Signal and Vehicle Dynamics Data.
Houshmand S; Kazemi R; Salmanzadeh H
J Med Signals Sens; 2022; 12(4):294-305. PubMed ID: 36726417
[TBL] [Abstract][Full Text] [Related]
8. A compact and interpretable convolutional neural network for cross-subject driver drowsiness detection from single-channel EEG.
Cui J; Lan Z; Liu Y; Li R; Li F; Sourina O; Müller-Wittig W
Methods; 2022 Jun; 202():173-184. PubMed ID: 33901644
[TBL] [Abstract][Full Text] [Related]
9. Assessment of driver drowsiness using electroencephalogram signals based on multiple functional brain networks.
Chen J; Wang H; Hua C
Int J Psychophysiol; 2018 Nov; 133():120-130. PubMed ID: 30081067
[TBL] [Abstract][Full Text] [Related]
10. Drowsiness detection using portable wireless EEG.
Gangadharan K S; Vinod AP
Comput Methods Programs Biomed; 2022 Feb; 214():106535. PubMed ID: 34861615
[TBL] [Abstract][Full Text] [Related]
11. Driver drowsiness detection methods using EEG signals: a systematic review.
Hussein RM; Miften FS; George LE
Comput Methods Biomech Biomed Engin; 2023 Sep; 26(11):1237-1249. PubMed ID: 35983784
[TBL] [Abstract][Full Text] [Related]
12. Validation and interpretation of a multimodal drowsiness detection system using explainable machine learning.
Hasan MM; Watling CN; Larue GS
Comput Methods Programs Biomed; 2024 Jan; 243():107925. PubMed ID: 38000319
[TBL] [Abstract][Full Text] [Related]
13. Research on Ocular Artifacts Removal from Single-Channel Electroencephalogram Signals in Obstructive Sleep Apnea Patients Based on Support Vector Machine, Improved Variational Mode Decomposition, and Second-Order Blind Identification.
Xiong X; Sun Z; Wang A; Zhang J; Zhang J; Wang C; He J
Sensors (Basel); 2024 Mar; 24(5):. PubMed ID: 38475177
[TBL] [Abstract][Full Text] [Related]
14. Classification of Epileptic EEG Signals Using Synchrosqueezing Transform and Machine Learning.
Cura OK; Akan A
Int J Neural Syst; 2021 May; 31(5):2150005. PubMed ID: 33522458
[TBL] [Abstract][Full Text] [Related]
15. EEG rhythm based emotion recognition using multivariate decomposition and ensemble machine learning classifier.
Vempati R; Sharma LD
J Neurosci Methods; 2023 Jun; 393():109879. PubMed ID: 37182604
[TBL] [Abstract][Full Text] [Related]
16. Epileptic seizure detection in EEG signal with GModPCA and support vector machine.
Jaiswal AK; Banka H
Biomed Mater Eng; 2017; 28(2):141-157. PubMed ID: 28372267
[TBL] [Abstract][Full Text] [Related]
17. A Review on Machine Learning for EEG Signal Processing in Bioengineering.
Hosseini MP; Hosseini A; Ahi K
IEEE Rev Biomed Eng; 2021; 14():204-218. PubMed ID: 32011262
[TBL] [Abstract][Full Text] [Related]
18. Machine Learning-Based Diabetic Neuropathy and Previous Foot Ulceration Patients Detection Using Electromyography and Ground Reaction Forces during Gait.
Haque F; Reaz MBI; Chowdhury MEH; Ezeddin M; Kiranyaz S; Alhatou M; Ali SHM; Bakar AAA; Srivastava G
Sensors (Basel); 2022 May; 22(9):. PubMed ID: 35591196
[TBL] [Abstract][Full Text] [Related]
19. Driving drowsiness detection using spectral signatures of EEG-based neurophysiology.
Arif S; Munawar S; Ali H
Front Physiol; 2023; 14():1153268. PubMed ID: 37064914
[No Abstract] [Full Text] [Related]
20. Automatic classification methods for detecting drowsiness using wavelet packet transform extracted time-domain features from single-channel EEG signal.
B VP; Chinara S
J Neurosci Methods; 2021 Jan; 347():108927. PubMed ID: 32941920
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]