EasiCPRS

Abstract

Traditional Chinese Pulse Diagnosis is a convenient and noninvasive method for disease diagnosis and healthcare. We have designed and implemented a Chinese wrist-pulse retrieval system based on the principle of Traditional Chinese Pulse Diagnosis (TCPD), called EasiCPRS. It is designed to be small in size, low in cost, with flexibility in deployment, and simplicity in operation. The contributions of this work are: 1. The wrist-pulse at "cun, guan and chi"points over the radial artery are obtained by applying a moderate and adjustable taking pressure during wrist-pulse retrieval. 2. A wrist-pulse signal conditioning circuit and a robust external taking pressure control algorithm are designed to overcome low signal-to-noise ratio (SNR). 3. A lightweight algorithm for wrist-pulse feature extraction is achieved on a resourceconstrained platform to economize energy and bandwidth.We developed EasiCPRS prototype, trained and verified the performance of the system by collecting and analyzing thousands of wrist-pulse samples from volunteers in a number of different health conditions such as hypertension, pregnancy and so on which were diagnosed by doctors in hospital. The experimental results showed potential usefulness of the system in disease diagnosis and healthcare.

Deciphering 3D Human Sphygmopalpation Pulse Patterns using “X-ray” Images Acquired from Tactile Robotic Fingers

“…Hence, an ideal measurement system for mimicking the fingers of CMPs must have the ability to provide different levels of pressure, measure arterial pulses precisely at the CUN, GUAN, CHI points, and classify 28 arterial pulse characteristics according to TCM theory [4], as shown in Table I. For the past twenty to thirty years, vigorous academic TCM research efforts in China [5], Taiwan [6] - [8] and Hong Kong [9] [10], as well as other locations [11], have pursued the development of useful instrumentations to capture the arterial pulse at the human wrist. These machines have often exhibited design issues that hinder their development.…”

Stochastic Multi-Hop Model of Coding-Based Reprogramming Protocols in Lossy Wireless Sensor Networks

“…Wireless sensor networks (WSNs) have seen various applications in environment monitoring, structural health monitoring, and health-care applications [1]. Reprogramming serves as a basic infrastructure in WSNs to provide reliable update of software running in sensor nodes in case of fixing bugs and security holes.…”