190 citations · 366 across the 5 of their papers we have counts for
5 papers
MixNet: Joining Force of Classical and Modern Approaches Toward the Comprehensive Pipeline in Motor Imagery EEG Classification
Phairot Autthasan, Rattanaphon Chaisaen, Huy Phan +2
Recent advances in deep learning (DL) have significantly impacted motor imagery (MI)-based brain-computer interface (BCI) systems, enhancing the decoding of electroencephalography…
ANet: Autoencoder-Based Local Field Potential Feature Extractor for Evaluating An Antidepressant Effect in Mice after Administering Kratom Leaf Extracts
Jakkrit Nukitram, Rattanaphon Chaisaen, Phairot Autthasan +7
Kratom (KT) typically exerts antidepressant (AD) effects. However, evaluating which form of KT extracts possesses AD properties similar to the standard AD fluoxetine (flu) remained…
A Pilot Study on Visually Stimulated Cognitive Tasks for EEG-Based Dementia Recognition
Supavit Kongwudhikunakorn, Suktipol Kiatthaveephong, Kamonwan Thanontip +9
In the status quo, dementia is yet to be cured. Precise diagnosis prior to the onset of the symptoms can prevent the rapid progression of the emerging cognitive impairment. Recent…
MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification
Phairot Autthasan, Rattanaphon Chaisaen, Thapanun Sudhawiyangkul +7
Advances in the motor imagery (MI)-based brain-computer interfaces (BCIs) allow control of several applications by decoding neurophysiological phenomena, which are usually recorded…
Decoding EEG Rhythms During Action Observation, Motor Imagery, and Execution for Standing and Sitting
Rattanaphon Chaisaen, Phairot Autthasan, Nopparada Mingchinda +6
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…