190 citations · 1.4k across the 27 of their papers we have counts for
27 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…
Combining EEG and NLP Features for Predicting Students' Lecture Comprehension using Ensemble Classification
Phantharach Natnithikarat, Theerawit Wilaiprasitporn, Supavit Kongwudhikunakorn
Electroencephalography (EEG) and Natural Language Processing (NLP) can be applied for education to measure students' comprehension in classroom lectures; currently, the two measure…
PseudoCell: Hard Negative Mining as Pseudo Labeling for Deep Learning-Based Centroblast Cell Detection
Narongrid Seesawad, Piyalitt Ittichaiwong, Thapanun Sudhawiyangkul +13
Patch classification models based on deep learning have been utilized in whole-slide images (WSI) of H&E-stained tissue samples to assist pathologists in grading follicular lymphom…
ApSense: Data-driven Algorithm in PPG-based Sleep Apnea Sensing
Tanut Choksatchawathi, Guntitat Sawadwuthikul, Punnawish Thuwajit +7
Detecting obstructive sleep apnea (OSA) is essential for diagnosing and managing sleep health. Traditionally, this involves clinical settings with hardly accessible processes. We p…
PACMAN: a framework for pulse oximeter digit detection and reading in a low-resource setting
Chiraphat Boonnag, Wanumaidah Saengmolee, Narongrid Seesawad +7
In light of the COVID-19 pandemic, patients were required to manually input their daily oxygen saturation (SpO2) and pulse rate (PR) values into a health monitoring system-unfortun…
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…
EEG-BBNet: a Hybrid Framework for Brain Biometric using Graph Connectivity
Payongkit Lakhan, Nannapas Banluesombatkul, Natchaya Sricom +6
Brain biometrics based on electroencephalography (EEG) have been used increasingly for personal identification. Traditional machine learning techniques as well as modern day deep l…
RRWaveNet: A Compact End-to-End Multi-Scale Residual CNN for Robust PPG Respiratory Rate Estimation
Pongpanut Osathitporn, Guntitat Sawadwuthikul, Punnawish Thuwajit +7
Respiratory rate (RR) is an important biomarker as RR changes can reflect severe medical events such as heart disease, lung disease, and sleep disorders. Unfortunately, standard ma…
OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning with Locality Augmentation
Amrest Chinkamol, Vetit Kanjaras, Phattarapong Sawangjai +5
While there have been increased researches using deep learning techniques for the extraction of vascular structure from the 2D en face OCTA, for such approach, it is known that the…
Deep Reinforcement Learning Models Predict Visual Responses in the Brain: A Preliminary Result
Maytus Piriyajitakonkij, Sirawaj Itthipuripat, Theerawit Wilaiprasitporn +1
Supervised deep convolutional neural networks (DCNNs) are currently one of the best computational models that can explain how the primate ventral visual stream solves object recogn…
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…
SleepPoseNet: Multi-View Learning for Sleep Postural Transition Recognition Using UWB
Maytus Piriyajitakonkij, Patchanon Warin, Payongkit Lakhan +7
Recognizing movements during sleep is crucial for the monitoring of patients with sleep disorders, and the utilization of ultra-wideband (UWB) radar for the classification of human…
MetaSleepLearner: A Pilot Study on Fast Adaptation of Bio-signals-Based Sleep Stage Classifier to New Individual Subject Using Meta-Learning
Nannapas Banluesombatkul, Pichayoot Ouppaphan, Pitshaporn Leelaarporn +8
Identifying bio-signals based-sleep stages requires time-consuming and tedious labor of skilled clinicians. Deep learning approaches have been introduced in order to challenge the…
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…
Improving Heart Rate Estimation on Consumer Grade Wrist-Worn Device Using Post-Calibration Approach
Tanut Choksatchawathi, Puntawat Ponglertnapakorn, Apiwat Ditthapron +4
The technological advancement in wireless health monitoring through the direct contact of the skin allows the development of light-weight wrist-worn wearable devices to be equipped…
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial
Theerasarn Pianpanit, Sermkiat Lolak, Phattarapong Sawangjai +2
In the past few years, there are several researches on Parkinson's disease (PD) recognition using single-photon emission computed tomography (SPECT) images with deep learning (DL)…
Consumer Grade Brain Sensing for Emotion Recognition
Payongkit Lakhan, Nannapas Banluesombatkul, Vongsagon Changniam +5
For several decades, electroencephalography (EEG) has featured as one of the most commonly used tools in emotional state recognition via monitoring of distinctive brain activities.…
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-…
Automatic Lung Cancer Prediction from Chest X-ray Images Using Deep Learning Approach
Worawate Ausawalaithong, Sanparith Marukatat, Arjaree Thirach +1
Since, cancer is curable when diagnosed at an early stage, lung cancer screening plays an important role in preventive care. Although both low dose computed tomography (LDCT) and c…
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…
Deep Neural Networks with Weighted Averaged Overnight Airflow Features for Sleep Apnea-Hypopnea Severity Classification
Payongkit Lakhan, Apiwat Ditthapron, Nannapas Banluesombatkul +1
Dramatic raising of Deep Learning (DL) approach and its capability in biomedical applications lead us to explore the advantages of using DL for sleep Apnea-Hypopnea severity classi…