Abstract
BackgroundHuman life can be further improved if diseases and disorders can be predicted before they become dangerous, by correctly recognizing signals from the human body, so in order to make disease detection more precise, various body-signals need to be measured simultaneously in a synchronized manner.ObjectThis research aims at developing an integrated system for measuring four signals (EEG, ECG, respiration, and PPG) and simultaneously producing synchronous signals on a Wireless Body Sensor Network.DesignWe designed and implemented a platform for multiple bio-signals using Bluetooth communication.ResultsFirst, we developed a prototype board and verified the signals from the sensor platform using frequency responses and quantities. Next, we designed and implemented a lightweight, ultra-compact, low cost, low power-consumption Printed Circuit Board.ConclusionA synchronous multi-body sensor platform is expected to be very useful in telemedicine and emergency rescue scenarios. Furthermore, this system is expected to be able to analyze the mutual effects among body signals.
Highlights
In the United States, about 460,000 people die as a result of fatal heart attacks every year.Approximately half of these patients die within one hour of the start of symptoms, and before they can Sensors 2012, 12 arrive at a hospital
A synchronous multi-body sensor platform is expected to be very useful in telemedicine and emergency rescue scenarios
In this paper, we propose a synchronous multi-body sensor platform on a wireless body sensor network (WBSN)
Summary
In the United States, about 460,000 people die as a result of fatal heart attacks every year Half of these patients die within one hour of the start of symptoms, and before they can Sensors 2012, 12 arrive at a hospital. WBSNs contain multiple sensors for the measurement of various bio-signals on the body. These sensors enable abnormal signals to be detected via wireless communications, and emergency treatment can be applied more quickly [2]. Conclusion: A synchronous multi-body sensor platform is expected to be very useful in telemedicine and emergency rescue scenarios This system is expected to be able to analyze the mutual effects among body signals
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