Accurate cirrhosis identification with wrist-pulse data for mobile healthcare

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.