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Choon-Hian Goh

Has grant

Associate Professor / Deputy Dean

Universiti Tunku Abdul Rahman (UTAR)

Malaysia

Research Interests

Recent Grants

Grant: Close

Life After Falls -The Influence Of Physiological, Psychological And Environmental Factors On Behavior After Falls (LiAF)

Open Date: 2019-05-01

Close Date: 2021-05-01

Articles (20)

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Collaborators (2)

Soban Sadiq

Senior Lecturer

Kent and Medway Medical School

UNITED KINGDOM

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Jen Hahn Low

Assistant Professor

Universiti Tunku Abdul Rahman (UTAR)

MALAYSIA

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Choon-Hian Goh

Research Interests

Recent Grants

Articles (20)

Dynamic resource allocation and coordination framework for multi-robot systems in grid-based environments

Deep Learning-Based Early Prediction of Syncope Onset During Tilt Table Testing via Temporal Convolutional Autoencoder Anomaly Detector

Development and Preliminary Evaluation of an EfficientNet-Based Deep Learning System for Ultrasound Assessment of Neck Disorders: A Single-Center Study

Development of an Android-Based Mobile Application for Menstrual Health and Sports Performance Tracking in Female Athletes

Mechanistic Interpretation of Beat‐to‐Beat Cardiovascular Variability in Hypertension Using a Closed‐Loop Cardiovascular Model

Advancement of machine learning algorithms in biosensors

Advancing Prostate Cancer Diagnostics: The Potential of Paper-Based Biosensors for Point-of-Care Testing

Cluster-Based Insights into Cardiovascular and Autonomic Responses to Head-Up Tilt in Hypertension

Anomaly Behavior Detection in Mobile Robot Navigation for Repetitive Tasks Using CNN-LSTM Autoencoder Reconstruction

Artificial intelligence driven clustering of blood pressure profiles reveals frailty in orthostatic hypertension

Clinical Application of Artificial Intelligence in the Diagnosis, Prediction, and Classification of Coronary Heart Disease

Semantic Segmentation from 3D LiDAR Data Using Visual Large Language Model (VLLM)

Clinical application of machine learning and Internet of Things in comorbid depression among diabetic patients

Machine learning and brain-computer interface approaches in prognosis and individualized care strategies for individuals with amyotrophic lateral sclerosis: A systematic review

Automated Syncope Prediction from Physiological Signals Acquired during Tilt-Table Testing using Deep Learning Approach

Enhanced Particle Swarm Optimisation for Multi-Robot Path Planning with Bezier Curve Smoothing

3D Printed Differential Drive Robot with LiDAR and 3D Depth Camera

A Novel Respiratory Rate Estimation Algorithm from Photoplethysmogram Using Deep Learning Model

Assessing the efficacy of machine learning algorithms for syncope classification: A systematic review

Classification of vasovagal syncope from physiological signals on tilt table testing

Collaborators (2)

Soban Sadiq

Jen Hahn Low

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