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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

Amplitude frequency responses of low-pass filters inside multi sensing module.
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f9-sensors-12-10381: Amplitude frequency responses of low-pass filters inside multi sensing module.

Mentions: Figure 9 shows the amplitude frequency responses (AFRs) of the LPFs inside the multi sensing module presented in this research. This result is calculated using a function generator (AFG310, Tektronix, Inc., Beaverton, OR, USA). Input frequencies between 0.01 Hz and 100 Hz were used to output a sinusoidal signal of amplitude 1 V; the signals were measured with an oscilloscope (DSO7012B, Agilent Technologies, Inc., Santa Clara, CA, USA). The results shown in Figure 9 confirm that each body signal underwent filtering in accordance with the LPF frequency ranges listed in Table 1. It has also been verified that the frequencies were 50 Hz for EEG, 40 Hz for ECG, 12 Hz for respiration, and that PPG fell below −3 dB at 8 Hz [13,14].


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

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

Amplitude frequency responses of low-pass filters inside multi sensing module.
© Copyright Policy
Related In: Results  -  Collection

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

f9-sensors-12-10381: Amplitude frequency responses of low-pass filters inside multi sensing module.
Mentions: Figure 9 shows the amplitude frequency responses (AFRs) of the LPFs inside the multi sensing module presented in this research. This result is calculated using a function generator (AFG310, Tektronix, Inc., Beaverton, OR, USA). Input frequencies between 0.01 Hz and 100 Hz were used to output a sinusoidal signal of amplitude 1 V; the signals were measured with an oscilloscope (DSO7012B, Agilent Technologies, Inc., Santa Clara, CA, USA). The results shown in Figure 9 confirm that each body signal underwent filtering in accordance with the LPF frequency ranges listed in Table 1. It has also been verified that the frequencies were 50 Hz for EEG, 40 Hz for ECG, 12 Hz for respiration, and that PPG fell below −3 dB at 8 Hz [13,14].

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