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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 multi sensing module.
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f3-sensors-12-10381: Structure of multi sensing module.

Mentions: EEG needs a LPF of 50 Hz and a total gain of 80 dB. Because the EEG (t) signal has already undergone an amplification of 20 dB via the differential amplifier in CMRR, the amplifier for the multi-sensing module only requires an amplification of 60 dB. Thus, in Figure 3, R1 is 1 kΩ and Reeg is 1 MΩ. In this module, the frequency of the LPF and the amplifications of the other signals (ECG, respiration, and PPG) are also designed according to the ratios and system specifications listed in Table 1.


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 multi sensing module.
© Copyright Policy
Related In: Results  -  Collection

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

f3-sensors-12-10381: Structure of multi sensing module.
Mentions: EEG needs a LPF of 50 Hz and a total gain of 80 dB. Because the EEG (t) signal has already undergone an amplification of 20 dB via the differential amplifier in CMRR, the amplifier for the multi-sensing module only requires an amplification of 60 dB. Thus, in Figure 3, R1 is 1 kΩ and Reeg is 1 MΩ. In this module, the frequency of the LPF and the amplifications of the other signals (ECG, respiration, and PPG) are also designed according to the ratios and system specifications listed in Table 1.

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