190 citations · 459 across the 9 of their papers we have counts for
9 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…
Revealing Preference in Popular Music Through Familiarity and Brain Response
Soravitt Sangnark, Phairot Autthasan, Puntawat Ponglertnapakorn +8
Music preference was reported as a factor, which could elicit innermost music emotion, entailing accurate ground-truth data and music therapy efficiency. This study executes statis…
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…
Drowsiness Detection for Office-based Workload with Mouse and Keyboard Data
Sanurak Natnithikarat, Sirakorn Lamyai, Pitshaporn Leelaarporn +4
Non-invasive devices involved in the detection of drowsiness generally include infrared camera and Electroencephalography (EEG), of which sometimes are constrained in an actual rea…
A Single-Channel Consumer-Grade EEG Device for Brain-Computer Interface: Enhancing Detection of SSVEP and Its Amplitude Modulation
Phairot Autthasan, Xiangqian Du, Jetsada Arnin +6
Brain-Computer interfaces (BCIs) play a significant role in easing neuromuscular patients on controlling computers and prosthetics. Due to their high signal-to-noise ratio, steady-…
Towards Asynchronous Motor Imagery-Based Brain-Computer Interfaces: a joint training scheme using deep learning
Patcharin Cheng, Phairot Autthasan, Boriwat Pijarana +2
In this paper, the deep learning (DL) approach is applied to a joint training scheme for asynchronous motor imagery-based Brain-Computer Interface (BCI). The proposed DL approach i…