Decho Surangsrirat

Decho Surangsrirat
National Science and Technology Development Agency | NSTDA · Assistive Technology and Medical Devices Research Center

Doctor of Philosophy in Biomedical Engineering - University of Miami

About

21
Publications
4,529
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127
Citations
Citations since 2017
11 Research Items
110 Citations
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2017201820192020202120222023051015202530

Publications

Publications (21)
Article
Introduction Freezing of gait (FOG) is a devastating symptom that develops in patients with advanced Parkinson's disease (PD) and is often unresponsive to pharmacological treatment. Recent research suggests that FOG may result from dysfunctional plantar peripheral sensory systems. The impact of combined plantar pressure and vibratory stimulation ov...
Article
BACKGROUND: Parkinson’s disease (PD) is a long-term neurodegenerative disease of the central nervous system. The current diagnosis is dependent on clinical observation and the abilities and experience of a trained specialist. One of the symptoms that affects most patients is voice impairment. OBJECTIVE: Voice samples are non-invasive data that can...
Article
Full-text available
A goniometer is currently the gold standard for range of motion (ROM) measurements. However, trained staff are required for accurate measurements. The objective of this study is to assess an agreement between the proposed standalone inertial measurement unit glove, smartphone device, and a standard goniometer for the measurement of wrist range of m...
Article
Full-text available
In this study, we investigated the relationship between finger tapping tasks on the smartphone and the MDS-UPDRS I–II and PDQ-8 using the mPower dataset. mPower is a mobile application-based study for monitoring key indicators of PD progression and diagnosis. Currently, it is one of the largest, open access, mobile Parkinson’s Disease studies. Data...
Article
Full-text available
The proposed device could non-destructively detect the water content in organic solvents at low concentrations with high accuracy and without any specific reagent. It could determine the water content in methanol, ethanol, and isopropanol at 0–1% w/w.
Preprint
BACKGROUND Parkinson’s disease (PD) is a long-term neurodegenerative disease of the central nervous system. The current diagnosis is dependent on clinical observation and the abilities and experience of a trained specialist. One of the symptoms that affect most patients over the course of their illness is voice impairment. OBJECTIVE Voice is one o...
Article
Full-text available
Introduction: Our objective is to discover transmission patterns of COVID-19 in the group of 16 countries called ASEAN+6 which comprise the ten countries in ASEAN and China, Japan, South Korea, Australia, New Zealand, and India. Methods: The public dataset from John Hopkins University was used in this work. The concept of the effective reproducti...
Article
Full-text available
Surface electromyography (sEMG) is a non-invasive and straightforward way to allow the user to actively control the prosthesis. However, results reported by previous studies on using sEMG for hand and wrist movement classification vary by a large margin, due to several factors including but not limited to the number of classes and the acquisition p...
Conference Paper
This paper presents a Deep Neural Network approach for the classification of 41 hand, wrist, grasping and functional movements based on a public dataset of low-cost sEMG sensors called Ninapro DB5. The recent advancements in sensor technology, mechatronics, signal processing techniques and edge computing hardware equipped with GPU make dexterous pr...
Conference Paper
Tremor is a common symptom shared in both Parkinson's disease (PD) and Essential tremor (ET) subjects. The differential diagnosis of PD and ET tremor is important since the realization of treatment depends on specific medication. A novel feature is developed based on a hypothesis that tremor of PD subject has a larger fluctuation during resting tha...
Article
Full-text available
Endoscopy is one of the most important procedures in diagnosis and treatment of gastrointestinal tract problems. While endoscopic procedure has tremendous benefits, physicians require considerable practice and time to develop competency. Current endoscopic training process involves cognitive learning and hands-on training under the supervision of a...
Article
Electroencephalogram (EEG) is a non-invasive test that measures electrical activity in the brain. The source of EEG activity is the voltage differences within neurons of the brain. Therefore, it is a reflection of the synchronous activity of neurons. EEG activity shows oscillations at a variety of frequencies. This rhythmic activity is divided into...
Conference Paper
Full-text available
The paper proposed a method for tremor assessment of the Archimedean spiral based on spiral analysis in the time-frequency domain. Spiral analysis is a method of analyzing the drawing of Archimedean spiral to quantify motor activity and evaluate the possible movement disorder symptom such as tremor, an involuntary trembling or shaking movements in...
Article
Full-text available
The paper presents an application for spiral analysis in Parkinson's Disease (PD). PD is one of the most common degenerative disorders of the central nervous system that affects elderly. Four cardinal symptoms of the disease are tremor, rigidity, slowness of movement, and postural instability. The current diagnosis is based on clinical observation...
Article
Competence in performing endoscopy requires a considerable amount of hands-on practice for a physician to master. In an effort to reduce the involvement of patients in the training process, simulation has become an important part of endoscopic training. This paper presents a low-cost training and evaluation system for upper endoscopy that serves as...
Conference Paper
This paper presents an application of support vector machines (SVMs) to mu I ti class problem in endoscopie image classification. Many studies have reported that SVMs have met with success in the texture classification problem. As an endoscopie image poses rich information expressed by texture features, we therefore investigate the potential of SVM...
Article
We propose a computer integrated endoscopic simulator for training in upper endoscopy as a low-cost alternative to the traditional training methods and virtual reality simulators. The use of a real endoscope in conjunction with our simulator and computer system in an actual operating room setup makes the training environment similar to a real proce...
Article
The minimally invasive surgery or endoscopic surgery is the performance of surgery through a small incision with the aid of special medical equipment called a flexible endoscope. The advantage of this technique over open surgery is that there is significantly less operative trauma, resulting in less pain and shorter recovery time. Side effects of t...

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