Accurate cirrhosis identification with wrist-pulse data for mobile healthcare

  • Authors:
  • Shujie Gong;Bin Xu;Guodong Sun;Mingrui Chen;Nanyue Wang;Chiyu Dong;Peng Wang;Jian Cui

  • Affiliations:
  • Hainan University, Haikou, China and Tsinghua University, Beijing, China;Tsinghua University, Beijing, China;Beijing Forestry University, Beijing, China;Hainan University, Haikou, China;Medical Sciences Experimental Research Center, CAS, Beijing, China;Tsinghua University, Beijing, China;Tsinghua University, Beijing, China;Tsinghua University, Beijing, China

  • Venue:
  • Proceedings of the Second ACM Workshop on Mobile Systems, Applications, and Services for HealthCare
  • Year:
  • 2012

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Abstract

In recent years, mobile healthcare has received increasing attention. As the wrist-pulse diagnosis in traditional Chinese medicine(TCM) only needs the wrist pulse information of a patient, without any other physiological data and invasive checking, it is a promising technique for mobile healthcare in terms of cost and convenience. But the pulse-based diagnosis requires the sophisticated and long-term training of the physicians. So it is urgent to develop a digitalized method to objectify and standardize the pulse-based diagnosis process. In this paper we design a wrist-pulse sensing and analyzing prototype system which involves a general pulse-sensing device and a cirrhosis diagnosis scheme based on the captured pulse information. The experimental results show that the accuracy of the proposed system reaches to 87.09% in cirrhosis identification.