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October 24-25, 2019 | Tokyo, Japan

Jian Kang Wu

Speaker at Cardiology Conference 2019- Jian Kang Wu
Jian Kang Wu
The University of Chinese Academy of Sciences, China
Title : Autostatis: Quantitative assessment of autonomic regulation with applications to cardiac care

Abstract:

Autonomic neural system (ANS) regulates the circulation to provide optimal perfusion of every organ in accordance with its metabolic needs. Numerous clinical research results have shown that autonomic imbalance is a direct cause of hypertension, heart failure, myocardial infarction, diabetes, and many other cardiovascular diseases. As such, quantitative assessment of autonomic regulation function is crucial in both clinical research and patient care. Here in this presentation, we describe Autostatis, which, for the first time, quantitatively evaluate autonomic regulation of the human cardiac system, based on the concept of homeostatis and using probabilistic graphic model, where homeostatis explains ANS regulation while the probability graphic model provides systematic and mathematic de?nition of the regulation process for quantitative assessment.
To capture various perspective view of autonomic regulation, Autostatis provides three indices and corresponding measurement methods in three testing scenarios: (1) Cardiopulmonary Resonance Indices (CRI) in resting (sitting, laying down, sleep) scenario. CRI quantitatively measures Respiration Sinus Arrythmia (RSA), directly relates to parasympathetic nerves activity and wellbeing, can be used as numerical measures for physiological and 
psychological health in personalized healthcare management. (2) chronotropic competence indices (CCI) in graded exercise testing. CCI has been used in exercise testing and personalized exercise prescription in cardiac rehabilitation. (3) barore?ex sensitivity (BRS), sympathetic nerve activity (SNA), and parasympathetic nerve activity (PNA) in orthostatic testing. These autonomic regulation parameters provide valuable data to the research and clinical practice community.
Our clinical results have shown that Autostatis have great potential in prediction, diagnosis, and rehabilitation of cardiovascular diseases, hypertension, and diabetes.

Take away notes:

•    My presentation will provide use examples to show how to use Indices and measurement methods of Autostatis in clinical practices, what benefits they will get from use of Autostatis
•    For the first time, Autostatis provides quantitative assessment to the autonomic regulation, which is so crucial in human health. There are lots of practical applications. We would like to collaborate with those audiences who are interested in working with us in their research and clinical work

Biography:

Dr Wu Jian Kang is professor of the University of Chinese Academy of Sciences, and director of CAS Institute of Healthcare Technologies (CIHT), visiting professor or visiting scientist in Imperial College London, Tokyo University, Pittsburg University, Erlangen University and Grenoble University.
Dr. Wu has published 4 books and 200 over scientific papers.