Phairot Autthasan (Max)

Phairot Autthasan (Max)

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

Sitemap

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

Towards asynchronous motor imagery-based brain-computer interfaces: a joint training scheme using deep learning

P. Cheng, P. Autthasan, B. Pijarana, E. Chuangsuwanich and T. Wilaiprasitporn, "Towards Asynchronous Motor Imagery-Based Brain-Computer Interfaces: a joint training scheme using deep learning" in TENCON 2018 - 2018 IEEE Region 10 Conference, Jeju, Korea (South), 2018, pp. 1994-1998.

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Drowsiness detection for office-based workload with mouse and keyboard data

S. Natnithikarat, S. Lamyai, P. Leelaarporn, N. Kunaseth, P. Autthasan, T. Wisutthisen and T. Wilaiprasitporn, "Drowsiness Detection for Office-based Workload with Mouse and Keyboard Data" in 2019 12th Biomedical Engineering International Conference (BMEiCON), Ubon Ratchathani, Thailand, 2019, pp. 1-4.

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A single-channel consumer-grade EEG device for brain–computer interface: Enhancing detection of SSVEP and its amplitude modulation

P. Autthasan, X. Du, J. Arnin, S. Lamyai, M. Perera, S. Itthipuripat, T. Yagi, P. Manoonpong and T. Wilaiprasitporn, "A single-channel consumer-grade EEG device for brain–computer interface: Enhancing detection of SSVEP and its amplitude modulation" in IEEE Sensors Journal, vol. 20, no. 6, pp. 3366-3378, 15 March, 2020.

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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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Revealing preference in popular music through familiarity and brain response

S. Sangnark, P. Autthasan, P. Ponglertnapakorn, P. Chalekarn, T. Sudhawiyangkul, M. Trakulruangroj, S. Songsermsawad, R. Assabumrungrat, S. Amplod, K. Ounjai and T. Wilaiprasitporn, "Revealing Preference in Popular Music Through Familiarity and Brain Response" in IEEE Sensors Journal, vol. 21, no. 13, pp. 14931-14940, 1 July, 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,</b> 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 March, 2022.

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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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HeartRhythm: ECG-Based Music Preference Classification in Popular Music

P. Autthasan, P. Sukontaman, T. Wilaiprasitporn and S. Sangnark, "HeartRhythm: ECG-Based Music Preference Classification in Popular Music" in 2023 IEEE SENSORS, Vienna, Austria, 2023, pp. 1-4.

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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 September, 2024.

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ResSense: A Modern Pipeline for Respiratory Arousal Detection Using PPG Signals

N. Soontreekulpong, P. Autthasan, T. Kaewlee, W. Worawitayanon, T. Choksatchawathi, N.Jaimchariyatam, B. Chaitusaney and T. Wilaiprasitporn, "ResSense: A Modern Pipeline for Respiratory Arousal Detection Using PPG Signals" in 2024 IEEE SENSORS, Kobe, Japan, 2024, pp. 1-4.

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TSeizNet: Triplet Loss Empowered Multi-Scale CNN for Superior EEG Seizure Detection

W. Polpakdee, P. Autthasan and T. Wilaiprasitporn, "TSeizNet: Triplet Loss Empowered Multi-Scale CNN for Superior EEG Seizure Detection" in 2024 IEEE SENSORS, Kobe, Japan, 2024, pp. 1-4.

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MotionXpert: EMG-Based Classification for Optimized Lower-Limb Motion Detection

P. Mitsantisuk, S. Kiatthaveephong, P. Autthasan and T. Wilaiprasitporn, "MotionXpert: EMG-Based Classification for Optimized Lower-Limb Motion Detection" in 2024 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES), Penang, Malaysia, 2024, pp. 1-6.

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AlphaGrad: Normalized Gradient Descent for Adaptive Multi-loss Functions in EEG-based Motor Imagery Classification

R. Chaisaen*, P. Autthasan*, A. Ditthapron and T. Wilaiprasitporn, "AlphaGrad: Normalized Gradient Descent for Adaptive Multi-loss Functions in EEG-based Motor Imagery Classification" in IEEE Journal of Biomedical and Health Informatics, Early Access

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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.