Construction of Health Indices and Evaluation Systems on Vital Functions Based on Combined Information for Bio-fluctuations

目前，人们普遍认为，研究生命体的非周期变化，如脱离节奏和波动的存在，是有益的。到目前为止，在这些发现中特别引人注目的是，在生命的自然状态中存在一些波动，当重要功能不能正常工作时，这些波动会减少或消失。本研究将混沌、分形（多重）分形和小波等非线性分析方法应用于心率、血压、心电、脑电图、fMEG等多种生命数据，通过对结果的综合处理，试图寻找新的健康指标和评价体系，明确心脑生命功能正常（健康）与异常（疾病）的界限。

At present, it is widely recognized useful to investigate on the aperiodic variations, just like getting out of rhythm and existing of fluctuation, in a living body. Especially remarkable among the findings so far is that some fluctuations are in living's natural states and they decrease or disappear when the vital functions do not work well. In this research, we applied nonlinear analytical methods such as chaotic, (multi)fractal and wavelet ones to many sorts of vital data (heart rate, blood pressure, ECG, EEG, fMEG) and, through the combined treatment of the results, tried to find new health indices and evaluation systems that could make clear the boundary between normal (healthy) and abnormal (ill) vital functions on the heart and the brain.