Search Results for author: Pitshaporn Leelaarporn

Found 3 papers, 2 papers with code

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

no code implementations • 5 Mar 2021 • Supavit Kongwudhikunakorn, Suktipol Kiatthaveephong, Kamonwan Thanontip, Pitshaporn Leelaarporn, Maytus Piriyajitakonkij, Thananya Charoenpattarawut, Phairot Autthasan, Rattanaphon Chaisaen, Pathitta Dujada, Thapanun Sudhawiyangkul, Vorapun Senanarong, Theerawit Wilaiprasitporn

The efficiencies of EEG signals from various cognitive tasks, for dementia classification, have yet to be thoroughly investigated.

EEG Specificity

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MetaSleepLearner: A Pilot Study on Fast Adaptation of Bio-signals-Based Sleep Stage Classifier to New Individual Subject Using Meta-Learning

1 code implementation • 8 Apr 2020 • Nannapas Banluesombatkul, Pichayoot Ouppaphan, Pitshaporn Leelaarporn, Payongkit Lakhan, Busarakum Chaitusaney, Nattapong Jaimchariyatam, Ekapol Chuangsuwanich, Wei Chen, Huy Phan, Nat Dilokthanakul, Theerawit Wilaiprasitporn

This is the first work that investigated a non-conventional pre-training method, MAML, resulting in a possibility for human-machine collaboration in sleep stage classification and easing the burden of the clinicians in labelling the sleep stages through only several epochs rather than an entire recording.

Automatic Sleep Stage Classification Meta-Learning +2

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

1 code implementation • 7 Apr 2020 • Rattanaphon Chaisaen, Phairot Autthasan, Nopparada Mingchinda, Pitshaporn Leelaarporn, Narin Kunaseth, Suppakorn Tammajarung, Poramate Manoonpong, Theerawit Wilaiprasitporn

Event-related desynchronization and synchronization (ERD/S) and movement-related cortical potential (MRCP) play an important role in brain-computer interfaces (BCI) for lower limb rehabilitation, particularly in standing and sitting.

Human-Computer Interaction Signal Processing

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