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Apiwat Lek-uthai
Apiwat Lek-uthai
Department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University
Verified email at chula.ac.th
Title
Cited by
Cited by
Year
A review of feature extraction and performance evaluation in epileptic seizure detection using EEG
P Boonyakitanont, A Lek-Uthai, K Chomtho, J Songsiri
Biomedical Signal Processing and Control 57, 101702, 2020
2312020
Newly Explored Electrical Properties of Normal Skin and Special Skin Sites/Neue Untersuchungen zu elektrischen Eigenschaften normaler Haut und spezieller Hautpunkte
A Mayer-Gindner, A Lek-Uthai, O Abdallah, A Bolz
Walter de Gruyter 49 (5), 117-124, 2004
242004
A comparison of deep neural networks for seizure detection in EEG signals
P Boonyakitanont, A Lek-Uthai, K Chomtho, J Songsiri
BioRxiv, 702654, 2019
232019
Automatic epileptic seizure onset-offset detection based on CNN in scalp EEG
P Boonyakitanont, A Lek-Uthai, J Songsiri
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
182020
Amplitude-integrated EEG processing and its performance for automatic seizure detection
C Satirasethawong, A Lek-Uthai, K Chomtho
2015 IEEE International Conference on Signal and Image Processing …, 2015
132015
Performance of a QRS detector on self-collected database using a handheld two-electrode ECG
A Teeramongkonrasmee, P Somboon, A Lek-uthai
2017 10th Biomedical Engineering International Conference (BMEiCON), 1-5, 2017
102017
Detection of Premature Ventricular Contraction for real-time applications
S Ittatirut, A Lek-uthai, A Teeramongkonrasmee
2013 10th International Conference on Electrical Engineering/Electronics …, 2013
92013
Development of a cost-effective ecg monitor for cardiac arrhythmia detection using heart rate variability
A Lek-uthai, P Somboon, A Teeramongkonrasmee
2016 9th Biomedical Engineering International Conference (BMEiCON), 1-5, 2016
72016
ScoreNet: a Neural network-based post-processing model for identifying epileptic seizure onset and offset in EEGs
P Boonyakitanont, A Lek-Uthai, J Songsiri
IEEE Transactions on Neural Systems and Rehabilitation Engineering 29, 2474-2483, 2021
62021
A comparison of deep neural networks for seizure detection in EEG signals. bioRxiv, 702654
P Boonyakitanont, A Lek-uthai, K Chomtho, J Songsiri
62019
Algorithm development for real-time detection of premature ventricular contraction
A Lek-uthai, S Ittatirut, A Teeramongkonrasmee
TENCON 2014-2014 IEEE Region 10 Conference, 1-5, 2014
62014
A comparison of cuff-less blood pressure estimation between pulse arrival time and pulse transit time using photoplethysmography
T Vajanarat, A Lek-uthai
2020 17th International Conference on Electrical Engineering/Electronics …, 2020
32020
Kontinuierliches Telekardiologisches Monitoring in häuslicher Umgebung
M Braecklein, A Lek-Uthai, U Nixdorff, A Bolz
Clin Res Cardiol 95, 548, 2006
22006
Comparison of Baseline Wander Correction Methods for Handheld ECG with Motion Artefacts
T Tearwattanarattikal, A Lek-uthai
2022 37th International Technical Conference on Circuits/Systems, Computers …, 2022
12022
High-precision Rhythm-based Detection of Atrial Fibrillation and Frequent Premature Contractions using Extreme Gradient Boosting
T Tearwattanarattikal, A Lek-uthai
2023 15th Biomedical Engineering International Conference (BMEiCON), 1-5, 2023
2023
Vectorcardiographic Reconstruction from Standard 12-Lead Electrocardiogram Using Convolutional Neural Network
T Tearwattanarattikal, A Lek-uthai
2023 International Technical Conference on Circuits/Systems, Computers, and …, 2023
2023
Automatische Erkennung von Vorhofflimmern in Echtzeit
A Lek-Uthai
Karlsruhe Institute of Technology, 2009
2009
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