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Journal of Medical Systems

, 40:215 | Cite as

A Distinguishing Arterial Pulse Waves Approach by Using Image Processing and Feature Extraction Technique

  • Hsing-Chung Chen
  • Shyi-Shiun Kuo
  • Shen-Ching Sun
  • Chia-Hui Chang
Systems-Level Quality Improvement
Part of the following topical collections:
  1. New Technologies and Bio-inspired Approaches for Medical Data Analysis and Semantic Interpretation

Abstract

Traditional Chinese Medicine (TCM) is based on five main types of diagnoses methods consisting of inspection, auscultation, olfaction, inquiry, and palpation. The most important one is palpation also called pulse diagnosis which is to measure wrist artery pulse by doctor’s fingers for detecting patient’s health state. In this paper, it is carried out by using a specialized pulse measuring instrument to classify one’s pulse type. The measured pulse waves (MPWs) were segmented into the arterial pulse wave curve (APWC) by image proposing method. The slopes and periods among four specific points on the APWC were taken to be the pulse features. Three algorithms are proposed in this paper, which could extract these features from the APWCs and compared their differences between each of them to the average feature matrix, individually. These results show that the method proposed in this study is superior and more accurate than the previous studies. The proposed method could significantly save doctors a large amount of time, increase accuracy and decrease data volume.

Keywords

Pulse diagnosis TCM pulse diagnosis Feature extraction 

Notes

Acknowledgments

This work was supported by the Ministry of Science and Technology (MOST), Taiwan, Republic of China, under Grant MOST 104-2221-E-468-002.

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Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  1. 1.Department of Computer Science and Information EngineeringAsia UniversityTaichung CityTaiwan
  2. 2.Department of Medical Research, China Medical University HospitalChina Medical UniversityTaichungTaiwan
  3. 3.Department of Multimedia Animation and ApplicationNan Kai University of TechnologyCaotunTaiwan
  4. 4.Department of Chinese MedicineShow-Chwan Memorial HospitalChanghuaTaiwan
  5. 5.Department of International BusinessAsia UniversityTaichungTaiwan

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