Title :
Study on Recognition of Sub-health from Pulse Signal
Author :
Aihua, Zhang ; Fengxia, Yang
Author_Institution :
Coll. of Electr. & Inf. Eng., Lanzhou Univ. of Technol.
Abstract :
In this paper, pulse signal of radial artery were measured by using HK-2000C digital integrated pulse transducer and power spectrum was calculated. Then peak value, peak frequency, center of gravity (cg) and gravity frequency of power spectrum were extracted. And linear discriminant analysis (LDA) was applied to pattern recognition of sub-health. The recognition accuracy is up to 80% by using cg and gravity frequency of power spectrum as features. And the recognition accuracy is up to 86.667% by using peak value and peak frequency of power spectrum as features. Using the method proposed in this paper the sub-health state can be identified, which suggests that the proposed method could lead to an easy and effective diagnostic tool
Keywords :
biomedical measurement; medical signal processing; pattern recognition; HK-2000C digital integrated pulse transducer; linear discriminant analysis; pattern recognition; power spectrum; pulse diagnosis; pulse signal; radial artery; subhealth state; Arteries; Data mining; Diseases; Educational institutions; Feature extraction; Frequency; Gravity; Linear discriminant analysis; Medical diagnostic imaging; Pulse measurements; Linear Discriminant Analysis (LDA); power spectrum; pulse diagnosis; sub- health;
Conference_Titel :
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9422-4
DOI :
10.1109/ICNNB.2005.1614919
