Pipatthana Phatiwuttipat

Papers

Total Citations

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About

Dr. Pipatthana Phatiwuttipat is a researcher whose work bridges biomedical engineering and artificial intelligence, with a primary focus on developing intelligent systems for medical diagnostics. Her most cited paper, "Cardiac auscultation analysis system with Neural Network and SVM technique" (2011, 12 citations), represents a significant contribution to automated cardiac health assessment. In this work, she pioneered a system that integrates neural networks and Support Vector Machines to analyze heart sound signals captured via a stethoscope mounted on a robotic arm. This innovation addresses critical challenges in cardiac auscultation, including time consumption and accuracy limitations in traditional manual analysis. By extracting and processing acoustic features from heart sounds, her system provides objective, data-driven support to physicians in diagnosing cardiac conditions. Dr. Phatiwuttipat's research exemplifies the practical application of machine learning in clinical settings, aiming to enhance diagnostic precision and efficiency. Her work continues to inspire advancements in computer-aided diagnosis and telemedicine, demonstrating how interdisciplinary approaches can transform patient care through intelligent signal processing and robotic integration.