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For: Silveira TD, Kozakevicius ADJ, Rodrigues CR. Drowsiness detection for single channel EEG by DWT best m-term approximation. ACTA ACUST UNITED AC 2015. [DOI: 10.1590/2446-4740.0693] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Number Cited by Other Article(s)
1
Reddy YRM, Muralidhar P, Srinivas M. An Effective Hybrid Deep Learning Model for Single-Channel EEG-Based Subject-Independent Drowsiness Recognition. Brain Topogr 2024;37:1-18. [PMID: 37995000 DOI: 10.1007/s10548-023-01016-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Accepted: 10/22/2023] [Indexed: 11/24/2023]
2
Hadiyoso S, Zakaria H, Anam Ong P, Erawati Rajab TL. Multi Modal Feature Extraction for Classification of Vascular Dementia in Post-Stroke Patients Based on EEG Signal. SENSORS (BASEL, SWITZERLAND) 2023;23:1900. [PMID: 36850499 PMCID: PMC9966260 DOI: 10.3390/s23041900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Revised: 01/26/2023] [Accepted: 02/01/2023] [Indexed: 06/18/2023]
3
Huang Z, Wing-Kuen Ling B. Joint ensemble empirical mode decomposition and tunable Q factor wavelet transform based sleep stage classifications. Biomed Signal Process Control 2022. [DOI: 10.1016/j.bspc.2022.103760] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
4
Development of single-channel electroencephalography signal analysis model for real-time drowsiness detection : SEEGDD. Phys Eng Sci Med 2021;44:713-726. [PMID: 34057671 DOI: 10.1007/s13246-021-01020-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Accepted: 05/22/2021] [Indexed: 10/21/2022]
5
A compact and interpretable convolutional neural network for cross-subject driver drowsiness detection from single-channel EEG. Methods 2021;202:173-184. [PMID: 33901644 DOI: 10.1016/j.ymeth.2021.04.017] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 03/25/2021] [Accepted: 04/21/2021] [Indexed: 11/21/2022]  Open
6
Turkoglu M, Alcin OF, Aslan M, Al-Zebari A, Sengur A. Deep rhythm and long short term memory-based drowsiness detection. Biomed Signal Process Control 2021. [DOI: 10.1016/j.bspc.2020.102364] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
7
B VP, Chinara S. Automatic classification methods for detecting drowsiness using wavelet packet transform extracted time-domain features from single-channel EEG signal. J Neurosci Methods 2020;347:108927. [PMID: 32941920 DOI: 10.1016/j.jneumeth.2020.108927] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Revised: 08/01/2020] [Accepted: 08/31/2020] [Indexed: 01/04/2023]
8
Optimized Tunable Q Wavelet Transform Based Drowsiness Detection from Electroencephalogram Signals. Ing Rech Biomed 2020. [DOI: 10.1016/j.irbm.2020.07.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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