This final thesis presentation in Power Point.

1. 2009/12/14 GT2009_graduate thesis report 1 Thesis presentation for GT2009 Consideration of quantitative classification method of pulse diagnosis Haruka Niinuma, s1140168 Adaptive System Laboratory Graduate School of Computer Science and Engineering, The University of Aizu, Fukushima, Japan.

2. Importance of diagnosis by pulse wave Measure Pulse Wave Process Pulse Wave Data What is pulse wave? It contains many medical information Judging from pulse wave Age at blood vessel Arteriosclerosis at the moment What is pulse wave diagnosis? Evaluated and patterned by a variety of techniques Diagnose general condition and constitution General flow of automatic diagnosis of pulse wave Diagnosis 2 2009/12/14 GT2009_graduate thesis report

3. Example that uses SOM for diagnosis Basic wave of acceleration pulse wave Judged from A to G to seven kinds of shape Principle sano-osanai Model of arteriosclerosis Create SOM map using data SOM Visualize multidimensional data on two dimension 3 2009/12/14 GT2009_graduate thesis report

4. Automatic diagnosis of pulse wave using chaos analysis Automatic diagnosis of pulse wave using chaos analysis Quantify rule and feature of irregular behavior Specific method Lyapunov exponent Entropy TPM Recurrence plot FFT 4 2009/12/14 GT2009_graduate thesis report

5. Problem andResearch Goal Process Pulse Wave Data Measure Pulse Wave Problem of pulse wave chaos analysis The method of pulse wave chaos analysis is not defined well It does not use all information of pulse wave to the full Research way PCA (Principal Component Analysis) Contract data and extract its component SOM multidimensional data classification and analysis Research Goal Established quantitative classification method of pulse diagnosis Specify essence of pulse diagnosis using westernized method in the world of experience and guesser Diagnosis 5 2009/12/14 GT2009_graduate thesis report

6. Flow of automatic diagnosis of pulse wave 6 2009/12/14 GT2009_graduate thesis report

9. To confirm the stationarity of time-series data

10. Contract data and extract its component7 2009/12/14 GT2009_graduate thesis report

12. Classify the type of pulse diagnosis by acupuncture (1,10,2,20)8 2009/12/14 GT2009_graduate thesis report