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For: Luján M, Jimeno M, Mateo Sotos J, Ricarte J, Borja A. A Survey on EEG Signal Processing Techniques and Machine Learning: Applications to the Neurofeedback of Autobiographical Memory Deficits in Schizophrenia. Electronics 2021;10:3037. [DOI: 10.3390/electronics10233037] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
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1 Akmaz D. A new signal processing approach/method for classification of power quality disturbances. Digital Signal Processing 2022;130:103701. [DOI: 10.1016/j.dsp.2022.103701] [Reference Citation Analysis]
2 Malviya L, Mal S. A novel technique for stress detection from EEG signal using hybrid deep learning model. Neural Comput & Applic. [DOI: 10.1007/s00521-022-07540-7] [Reference Citation Analysis]
3 Ramírez-arias FJ, García-guerrero EE, Tlelo-cuautle E, Colores-vargas JM, García-canseco E, López-bonilla OR, Galindo-aldana GM, Inzunza-gonzález E. Evaluation of Machine Learning Algorithms for Classification of EEG Signals. Technologies 2022;10:79. [DOI: 10.3390/technologies10040079] [Reference Citation Analysis]
4 Luján MÁ, Torres AM, Borja AL, Santos JL, Sotos JM. High-Precise Bipolar Disorder Detection by Using Radial Basis Functions Based Neural Network. Electronics 2022;11:343. [DOI: 10.3390/electronics11030343] [Reference Citation Analysis]