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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

Comparison of power consumption (left) and Number of Op-amp (right): (a) 8 channels EEG sensor platform using Zigbee communication; (b) Previous 4 channels multi-body sensor platform using Bluetooth communication; (c) Enhanced 4 channels multi-body sensor platform using Bluetooth communication.
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f11-sensors-12-10381: Comparison of power consumption (left) and Number of Op-amp (right): (a) 8 channels EEG sensor platform using Zigbee communication; (b) Previous 4 channels multi-body sensor platform using Bluetooth communication; (c) Enhanced 4 channels multi-body sensor platform using Bluetooth communication.

Mentions: In Figure 11(a) the platform operates with eight channels using Zigbee communication. The average power consumption of this platform is 53.65 mA (The standard deviation (STD) is ±1.15 mA). The average power consumption of platform (b) is 149.4 mA (STD is ±12.5 mA). Finally, the average power consumption of the enhanced four-channel multi-body sensor platform is 104.1 mA (STD is ±18.3 mA).


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

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

Comparison of power consumption (left) and Number of Op-amp (right): (a) 8 channels EEG sensor platform using Zigbee communication; (b) Previous 4 channels multi-body sensor platform using Bluetooth communication; (c) Enhanced 4 channels multi-body sensor platform using Bluetooth communication.
© Copyright Policy
Related In: Results  -  Collection

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

f11-sensors-12-10381: Comparison of power consumption (left) and Number of Op-amp (right): (a) 8 channels EEG sensor platform using Zigbee communication; (b) Previous 4 channels multi-body sensor platform using Bluetooth communication; (c) Enhanced 4 channels multi-body sensor platform using Bluetooth communication.
Mentions: In Figure 11(a) the platform operates with eight channels using Zigbee communication. The average power consumption of this platform is 53.65 mA (The standard deviation (STD) is ±1.15 mA). The average power consumption of platform (b) is 149.4 mA (STD is ±12.5 mA). Finally, the average power consumption of the enhanced four-channel multi-body sensor platform is 104.1 mA (STD is ±18.3 mA).

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