Phairot Autthasan (Max)

Phairot Autthasan (Max)

Brain-Computer Interfaces, Machine Learning, Deep Learning, Bio-signals, Recommendation System, Computer Vision

Publications

You can find my Google Scholar profile here

2024

P. Autthasan, R. Chaisaen*, H. Phan, M. D. Vos and T. Wilaiprasitporn, “MixNet: Joining Force of Classical and Modern Approaches Toward the Comprehensive Pipeline in Motor Imagery EEG Classification,” in IEEE Internet of Things Journal, vol. 11, no. 17, pp. 28539-28554, 1 Sept.1, 2024. [Paper] | [Code]

2023

J. Nukitram, W. Saengmolee, R. Chaisaen, P. Autthasan, N. Sengnon, J. Wungsintaweekul, D. Cheaha, E. Kumarnsit, T. Sudhawiyangkul, and T. Wilaiprasitporn, “ANet: Autoencoder-Based Local Field Potential Feature Extractor for Evaluating an Antidepressant Effect in Mice After Administering Kratom Leaf Extracts,” in IEEE Transactions on Biomedical Circuits and Systems, vol. 17, no. 1, pp. 67-76, Feb. 2023. [Paper]

2022

W. Saengmolee, R. Chaisaen, P. Autthasan, C. Rungsilp, N. Sa-Ih, D. Cheaha, E. Kumarnsit, and T. Wilaiprasitporn, “Consumer-Grade Brain Measuring Sensor in People With Long-Term Kratom Consumption,” in IEEE Sensors Journal, vol. 22, no. 6, pp. 6088-6097, 15 March15, 2022. [Paper]

P. Autthasan, R. Chaisaen*, T. Sudhawiyangkul, P. Rangpong, S. Kiatthaveephong, N. Dilokthanakul, G. Bhakdisongkhram, H. Phan, C. Guan, and T. Wilaiprasitporn, “MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification,” in IEEE Transactions on Biomedical Engineering, vol. 69, no. 6, pp. 2105-2118, June 2022. [Paper] | [Code] | [Page]

2021

P. Thuwajit, P. Rangpong, P. Sawangjai, P. Autthasan, R. Chaisaen, N. Banluesombatkul, P. Boonchit, N. Tatsaringkansakul, T. Sudhawiyangkul, and T. Wilaiprasitporn, “EEGWaveNet: Multiscale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection,” in IEEE Transactions on Industrial Informatics, vol. 18, no. 8, pp. 5547-5557, Aug. 2022. [Paper] | [Code]

S. Kongwudhikunakorn, S. Kiatthaveephong, K. Thanontip, P. Leelaarporn, M. Piriyajitakonkij, T. Charoenpattarawut, P. Autthasan, R. Chaisaen, P. Dujada, T. Sudhawiyangkul, V. Senanarong, and T. Wilaiprasitporn, “A Pilot Study on Visually Stimulated Cognitive Tasks for EEG-Based Dementia Recognition,” in IEEE Transactions on Instrumentation and Measurement, vol. 70, pp. 1-10, 2021. [Paper]

P. Leelaarporn, P. Wachiraphan, T. Kaewlee, T. Udsa, R. Chaisaen, T. Choksatchawathi, R. Laosirirat, P. Lakhan, P. Natnithikarat, K. Thanontip, W. Chen, S. C. Mukhopadhyay, and T. Wilaiprasitporn, “Sensor-Driven Achieving of Smart Living: A Review,” in IEEE Sensors Journal, vol. 21, no. 9, pp. 10369-10391, 1 May.1, 2021. [Paper]

2020

R. Chaisaen, P. Autthasan, N. Mingchinda, P. Leelaarporn, N. Kunaseth, S. Tammajarung, P. Manoonpong, S. C. Mukhopadhyay, and T. Wilaiprasitporn, “Decoding EEG Rhythms During Action Observation, Motor Imagery, and Execution for Standing and Sitting,” in IEEE Sensors Journal, vol. 20, no. 22, pp. 13776-13786, 15 Nov.15, 2020. [Paper] | [Code]

* equal contributions

Conference Papers

S. Kiatthaveephong, S. Santiwongkarn, R. Chaisaen, C. Rungsilp, T. Yagi and T. Wilaiprasitporn, “An Effect of Limb Position in Motor Imagery Training Paradigm in Immersive Virtual Environment,” 2022 IEEE Sensors, Dallas, TX, USA, 2022, pp. 1-4. [Paper]