Improved Concentrated Mental State Classification Through EEG Signal Augmentation and One-Dimensional Convolutional Neural Network
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9235-5_27
Reference17 articles.
1. Ahirwal MK (2021) Analysis and identification of EEG features for mental stress. In: Evolution in computational intelligence. Springer, Singapore, pp 201–209
2. Singh U, Ahirwal MK (2021) Mental workload classification for multitasking test using electroencephalogram signal. In: 2021 IEEE international conference on technology, research, and innovation for betterment of society (TRIBES). IEEE, pp 1–6
3. Ahirwal MK, Kose MR (2020) Audio-visual stimulation based emotion classification by correlated EEG channels. Health Technol 10:7–23. https://doi.org/10.1007/s12553-019-00394-5
4. Ahirwal MK, Kose MR (2018) Emotion recognition system based on EEG signal: a comparative study of different features and classifiers. In: 2018 second international conference on computing methodologies and communication (ICCMC), pp 472–476. https://doi.org/10.1109/ICCMC.2018.8488044
5. Ahirwal MK, Kumar A, Londhe ND, Bikrol H (2016) Scalp connectivity networks for analysis of EEG signal during emotional stimulation. In: 2016 International conference on communication and signal processing (ICCSP), pp 0592–0596. https://doi.org/10.1109/ICCSP.2016.7754208
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