Fangmin Sun

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With the development of the wireless communication technology and the improvement of the performance of the MEMS sensor, wireless sensor networks are widely used in various application scenarios such as smart building, intelligent transportation, ubiquitous and unobtrusive health monitoring system, etc. As information communicated among these networks is(More)
The human body consists of many complicated physiological signals such as blood pressure, electrocardiograph (ECG), respiratory rate, electroencephalograph (EEG), arterial oxygen saturation (SpO2), body temperature and so on, which, to some extent, reflects the health conditions of the people. Long term and continuous monitoring of these signals are of much(More)
with the increase of the aging population, the health of the aging will become a global focus. Wireless body area network, which as a low-cost, convenient and easy to use health monitoring system is being widely researched and now it has gained very large advancement. In this paper, we introduced the design and development of a wireless router which also(More)
With the improvement of the living standards, people are paying more and more attention to their health. The development of the Body Sensor Network (BSN) technology makes it possible to continuously monitor physiological parameters such as electrocardiograph (ECG), respiratory rate, electroencephalograph arterial oxygen saturation (SpO2), body temperature,(More)
We developed and tested the Institute of Electronics, Chinese Academy of Sciences (IECAS) 3AHcare node, a health monitoring device capable of measuring a subject's ECG, blood pressure, blood oxygenation, respiration, temperature and motion - almost equivalent to the feature set of a hospital bedside patient monitor. The main contribution of this paper(More)
This paper presents a wearable physiological parameters monitoring device real time monitoring electrocardiograph (ECG), respiration, blood oxygen saturation, blood pressure, motion state and temperature continuously, online analysis and displaying the result in personal computer. Especially, Improved Pan-Tompkins Algorithm was embedded into wearable(More)
Recently, wireless body sensor network (BSN) has gained lots of favor from researchers because of its promising application. To facilitate the development of BSN, we designed a full parameter BSN system (FPBS) which could readily provide the information of ECG, SpO<sub>2</sub>, Blood Pressure, Pulse Rate, Heart Rate and Shell Temperature. Considering its(More)
The main objective of this study is to introduce a simple, low-complexity and effective algorithm to evaluate the quality of the real-time electro-cardiosignal, especially the electro-cardiosignal coming from dry electrode, or the signal collecting during periods of muscular activity or excessive motion. In the proposed method, the real-time signal is(More)
In this paper, we mainly present a group physiological monitoring system, called GPMSwLF, which is coupled with a location subsystem. GPMSwLF is based on 802.15.4 wireless network and comprises three kinds of devices: Coordinator, Relay Point (RP) and Physiological Monitor (PM). Coordinator establishes and maintains a wireless network and serves as an(More)