Decho Surangsrirat
Decho Surangsrirat
National Science and Technology Development Agency
Verified email at - Homepage
Cited by
Cited by
Support vector machine classification of Parkinson's disease and essential tremor subjects based on temporal fluctuation
D Surangsrirat, C Thanawattano, R Pongthornseri, S Dumnin, C Anan, ...
2016 38th annual international conference of the IEEE engineering in …, 2016
Analysis of the meditation brainwave from consumer EEG device
D Surangsrirat, A Intarapanich
SoutheastCon 2015, 1-6, 2015
Android application for spiral analysis in Parkinson's Disease
D Surangsrirat, C Thanawattano
2012 Proceedings of IEEE Southeastcon, 1-6, 2012
Classification of 41 hand and wrist movements via surface electromyogram using deep neural network
P Sri-Iesaranusorn, A Chaiyaroj, C Buekban, S Dumnin, R Pongthornseri, ...
Frontiers in bioengineering and biotechnology 9, 548357, 2021
Tremor assessment using spiral analysis in time-frequency domain
D Surangsrirat, A Intarapanich, C Thanawattano, R Bhidayasiri, ...
2013 Proceedings of IEEE Southeastcon, 1-6, 2013
Parkinson’s disease severity clustering based on tapping activity on mobile device
D Surangsrirat, P Sri-Iesaranusorn, A Chaiyaroj, P Vateekul, ...
Scientific Reports 12 (1), 3142, 2022
Heart rate, skin temperature and skin humidity and their relationship to accumulated fatigue
D Surangsrirat, S Dumnin, S Samphanyuth
2019 3rd International Conference on Bio-engineering for Smart Technologies …, 2019
Vibratory and plantar pressure stimulation: Steps to improve freezing of gait in Parkinson's disease
W Phuenpathom, P Panyakaew, P Vateekul, D Surangsrirat, ...
Parkinsonism & related disorders 105, 43-51, 2022
Comparison of the wrist range of motion measurement between inertial measurement unit glove, smartphone device and standard goniometer
D Surangsrirat, T Bualuangngam, P Sri-iesaranusorn, A Chaiyaroj, ...
Applied Sciences 12 (7), 3418, 2022
Deep neural network approach for hand, wrist, grasping and functional movements classification using low-cost semg sensors
A Chaiyaroj, P Sri-Iesaranusorn, C Buekban, S Dumnin, C Thanawattano, ...
2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019
Classification of endoscopie images using support vector machines
D Surangsrirat, MA Tapia, W Zhao
Proceedings of the IEEE SoutheastCon 2010 (SoutheastCon), 436-439, 2010
Non-destructive measurement technique for water content in organic solvents based on a thermal approach
D Surangsrirat, V Sridhar, O Srikun, M Puanglamjeak, P Birdi, S Dumnin, ...
RSC advances 12 (10), 6181-6185, 2022
A customized simulation system with computer integrated auto-evaluation function for upper endoscopy training
D Surangsrirat, AR Deshpande, S Surangsrirat, MA Tapia, W Zhao
Technology and health care 19 (2), 79-90, 2011
Development in rubber preparation for a gastroscopy kit
A Pramuanjaroenkij, A Tongkratoke, D Surangsrirat
Proceedings of the 6th TSME International Conference on Mechanical Engineering, 2015
Computer integrated endoscopic simulator with nonlinear distortion correction system
D Surangsrirat
University of Miami, 2008
Residual effects of combined vibratory and plantar stimulation while seated influences plantar pressure and spatiotemporal gait measures in individuals with Parkinson’s disease …
W Phuenpathom, P Panyakaew, P Vateekul, D Surangsrirat, ...
Frontiers in Aging Neuroscience 15, 1280324, 2024
Association of Generation and Group Size With the Usage of a Mobile Health App in Thailand: Secondary Analysis of the ThaiSook Cohort Study
T Inchusri, D Surangsrirat, P Kwanmuang, P Poomivanichakij, ...
Journal of Medical Internet Research 25, e45374, 2023
Classification of Parkinson’s disease from smartphone recording data using time-frequency analysis and convolutional neural network
D Worasawate, W Asawaponwiput, N Yoshimura, A Intarapanich, ...
Technology and Health Care 31 (2), 705-718, 2023
Data-driven transmission patterns of COVID-19 in ASEAN+ 6
P Sri-iesaranusorn, A Trakarnkulphun, A Chaiyaroj, D Surangsrirat
Asian Medical Journal and Alternative Medicine 21, S9-S17, 2021
Deep learning approach for Parkinson's disease classification from facial expressions: A pilot feasibility study
O Phokaewvarangkul, P Vateekul, D Surangsrirat, R Bhidayasiri
MOVEMENT DISORDERS 35, S660-S660, 2020
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