Rattanaphon Chaisaen

Rattanaphon Chaisaen

Brain-Computer Interfaces, Deep Learning, Multi-Task Learning, Motor Imagery

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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

Posts

portfolio

publications

Decoding EEG Rhythms During Action Observation, Motor Imagery, and Execution for Standing and Sitting

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.

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Sensor-Driven Achieving of Smart Living: A Review

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.

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A Pilot Study on Visually Stimulated Cognitive Tasks for EEG-Based Dementia Recognition

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.

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EEGWaveNet: Multiscale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection

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.

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MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification

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.

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Consumer-Grade Brain Measuring Sensor in People With Long-Term Kratom Consumption

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.

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An Effect of Limb Position in Motor Imagery Training Paradigm in Immersive Virtual Environment

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" in 2022 IEEE Sensors, Dallas, TX, USA, 2022, pp. 1-4.

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ANet: Autoencoder-Based Local Field Potential Feature Extractor for Evaluating an Antidepressant Effect in Mice After Administering Kratom Leaf Extracts

J. Nukitram, W. Saengmolee, R. Chaisaen, P. Autthasan, N. Sengnon, J. Wungsintaweekul, D. Cheaha, E. Kumarnsit, T. Sudhawiyangkul, and T. Wilaiprasitporn, "An Effect of Limb Position in Motor Imagery Training Paradigm in Immersive Virtual Environment" in IEEE Transactions on Biomedical Circuits and Systems, vol. 17, no. 1, pp. 67-76, Feb. 2023.

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MixNet: Joining Force of Classical and Modern Approaches Toward the Comprehensive Pipeline in Motor Imagery EEG Classification

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.

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talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.