Sumeth Yuenyong
Papers
1
Total Citations
12
H-Index
1
About
Dr. Sumeth Yuenyong is a researcher in biomedical signal processing and machine learning, with a focus on developing intelligent diagnostic tools for cardiac care. His most cited work, "Cardiac auscultation analysis system with Neural Network and SVM technique" (2011, 12 citations), introduces a novel system that integrates neural networks and support vector machines to analyze heart sound signals captured via a stethoscope mounted on a robotic arm. This contribution addresses the challenge of time-consuming and error-prone manual auscultation, offering a more accurate, automated method for extracting diagnostic information from cardiac sounds. By combining robotic precision with advanced classification algorithms, Yuenyong’s work lays groundwork for telemedicine and computer-aided diagnosis, potentially reducing the burden on clinicians. Though his citation count is modest, his research represents a meaningful step toward accessible, technology-driven healthcare, particularly in resource-limited settings. His interdisciplinary approach—merging robotics, signal processing, and machine learning—highlights his commitment to practical, impactful solutions in medical diagnostics.
Research Focus
Key Achievements
Top Papers
- 1Cardiac auscultation analysis system with Neural Network and SVM technique12 citations · 2011