온라인강의

From Four Diagnostic Methods to Sensors: Standardization and Digital Transition of Traditional Medical Devices
강사명Honghao Tang 강의시간31분 강의개설일2025-12-10
온라인강의

강의소개

With the growing global interest in Traditional Chinese Medicine (TCM), the standardization and digital transformation of TCM diagnostic devices have become essential for clinical integration and international collaboration. This talk highlights key standardization efforts under ISO/TC249 and other technical committees, focusing on devices for tongue imaging, pulse sensing, and acupoint impedance measurement. By leveraging modern technologies such as near-infrared spectroscopy, electrical impedance analysis, and image recognition, the core concepts of the “Four Diagnostic Methods” (inspection, auscultation/olfaction, inquiry, and palpation) are being translated into quantifiable, sensor-based frameworks. The presentation will also showcase the author’s applied experience in the development of the “TCM Diagnosis and Prescription Engine”—a TCM intelligent diagnosis platform. This system integrates data from tongue, pulse, facial, and inquiry diagnostics to construct syndrome differentiation models and prescribe classical herbal formulas with built-in safety monitoring. Demonstration cases include space station health modules and retail terminals, reflecting how standardization supports TCM modernization and clinical scalability.

강사소개

Dr. Honghao Tang, Ph.D. in Engineering, is the Founder & CEO of NODAS Co., Ltd. (Kyoto, Japan) and NODAS (Hangzhou) Technology Co., Ltd., Visiting Professor at Fudan University, and Co-Researcher at Nara Institute of Science and Technology (NAIST). With a doctoral degree in Biomedical Engineering (Japan) and a master’s degree in Microelectronic Chip Design (Sweden), she has been actively engaged in international standardization (ISO/IEC) and the integration of traditional and modern medical technologies. Her research focuses on near-infrared hyperspectral imaging for early screening of neurodegenerative diseases, bioelectrical impedance and acupoint diagnostics, as well as AI-based health monitoring technologies. She has published extensively in peer-reviewed journals, led or contributed to multiple ISO/IEC international standards, received numerous national and international awards, holds multiple medical device-related patents, and has spearheaded innovative projects including Alzheimer’s disease screening devices, bladder monitoring systems, and standardized TCM diagnostic platforms.