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A synchronous multi-body sensor platform in a Wireless Body Sensor Network: design and implementation.

Gil Y, Wu W, Lee J - Sensors (Basel) (2012)

Bottom Line: Next, we designed and implemented a lightweight, ultra-compact, low cost, low power-consumption Printed Circuit Board.A 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.

View Article: PubMed Central - PubMed

Affiliation: Graduate School of Computer Science and Engineering, Pusan National University, Pusan 609-735, Korea. kyzoon@pusan.ac.kr

ABSTRACT

Background: Human 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.

Object: This 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.

Design: We designed and implemented a platform for multiple bio-signals using Bluetooth communication.

Results: First, 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.

Conclusion: A 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.

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Related in: MedlinePlus

Structure of the integrated multi-body sensor platform.
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f1-sensors-12-10381: Structure of the integrated multi-body sensor platform.

Mentions: As seen in Figure 1, in order to avoid 60-Hz power-line noise in measuring EEGs and ECGs, high CMRR is needed. According to Figure 2, in the case of EEG, the channel signal is s(t) and the ground signal is g(t). Hence, the differential amplifier operates on the basis of the voltage difference of the two signals. At this point, EEG(t) uses a CMRR circuit with a reference signal (r(t)) to reduce noise. Therefore, three electrodes are required to measure EEG signals. In the case of ECG, the channel signal is s(t) from the left arm, the ground signal is g(t) from the right leg, and the reference signal is r(t) from the right arm.


A synchronous multi-body sensor platform in a Wireless Body Sensor Network: design and implementation.

Gil Y, Wu W, Lee J - Sensors (Basel) (2012)

Structure of the integrated multi-body sensor platform.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3472833&req=5

f1-sensors-12-10381: Structure of the integrated multi-body sensor platform.
Mentions: As seen in Figure 1, in order to avoid 60-Hz power-line noise in measuring EEGs and ECGs, high CMRR is needed. According to Figure 2, in the case of EEG, the channel signal is s(t) and the ground signal is g(t). Hence, the differential amplifier operates on the basis of the voltage difference of the two signals. At this point, EEG(t) uses a CMRR circuit with a reference signal (r(t)) to reduce noise. Therefore, three electrodes are required to measure EEG signals. In the case of ECG, the channel signal is s(t) from the left arm, the ground signal is g(t) from the right leg, and the reference signal is r(t) from the right arm.

Bottom Line: Next, we designed and implemented a lightweight, ultra-compact, low cost, low power-consumption Printed Circuit Board.A 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.

View Article: PubMed Central - PubMed

Affiliation: Graduate School of Computer Science and Engineering, Pusan National University, Pusan 609-735, Korea. kyzoon@pusan.ac.kr

ABSTRACT

Background: Human 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.

Object: This 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.

Design: We designed and implemented a platform for multiple bio-signals using Bluetooth communication.

Results: First, 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.

Conclusion: A 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.

Show MeSH
Related in: MedlinePlus