3707 Real-time human condition monitoring using moving point correlation dimension analysis
AKIO S. SUZUKI, Naoki Ichikawa · The proceedings of the JSME annual meeting · 2008
We propose a new correlation dimension calculation method for the real-time monitoring of human condition. To achieve the real-time monitoring of long and nonstational time series, we apply a moving window technique to the point correlation dimension estimation. This moving point correlation method is applied to electrocardiogram (ECG) time series during calculation task. The results show the positive correlation between calculation performance and point correlation dimension values.