Raj, V.A.; Parupudi, T.; K, V.K.; Thalengala, A.; Nayak, S.G.
Physiological Artifact Suppression in EEG Signals Using an Efficient Multi-Scale Depth-Wise Separable Convolution and Variational Attention Deep Learning Model for Improved Neurological Health Signal Quality. Technologies 2025, 13, 578.
https://doi.org/10.3390/technologies13120578
AMA Style
Raj VA, Parupudi T, K VK, Thalengala A, Nayak SG.
Physiological Artifact Suppression in EEG Signals Using an Efficient Multi-Scale Depth-Wise Separable Convolution and Variational Attention Deep Learning Model for Improved Neurological Health Signal Quality. Technologies. 2025; 13(12):578.
https://doi.org/10.3390/technologies13120578
Chicago/Turabian Style
Raj, Vandana Akshath, Tejasvi Parupudi, Vishnumurthy Kedlaya K, Ananthakrishna Thalengala, and Subramanya G. Nayak.
2025. "Physiological Artifact Suppression in EEG Signals Using an Efficient Multi-Scale Depth-Wise Separable Convolution and Variational Attention Deep Learning Model for Improved Neurological Health Signal Quality" Technologies 13, no. 12: 578.
https://doi.org/10.3390/technologies13120578
APA Style
Raj, V. A., Parupudi, T., K, V. K., Thalengala, A., & Nayak, S. G.
(2025). Physiological Artifact Suppression in EEG Signals Using an Efficient Multi-Scale Depth-Wise Separable Convolution and Variational Attention Deep Learning Model for Improved Neurological Health Signal Quality. Technologies, 13(12), 578.
https://doi.org/10.3390/technologies13120578
