Design and Implementation of Embedded Software for Context-Aware Wearable Body Sensor Networks

Wei Zhuang; Dong Dai; Ren Jie Yu

doi:10.4028/www.scientific.net/AMM.556-562.5497

Paper Titles

A Web-Based Tool for Visualization of Biomolecular Network Comparison
p.5482

Research on QoE Evaluation for Mobile Streaming Service over LTE Network
p.5488

Using Zhang Diagram in System Design and Programming
p.5493

Design and Implementation of Embedded Software for Context-Aware Wearable Body Sensor Networks
p.5497

H_∞ Robust Control for Networked Control System with Short Time-Delay
p.5501

A Novel Method of Antiterrorism Sensor Network Based on Control
p.5506

A Data Replica Placement Scheme for Cloud Storage under Healthcare IoT Environment
p.5511

Research and Design of Cloud-Based Campus-Plus System on Android Platform
p.5518

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 556-562Design and Implementation of Embedded Software for...

Design and Implementation of Embedded Software for Context-Aware Wearable Body Sensor Networks

Abstract:

Adding wireless communication and smart sensing technology into telemedicine filed can enhance the abilities of detecting vital signals of the patients and significantly reduce diagnose cost. An embedded software for monitoring health status based on Zigbee network is proposed in this paper. Motion detection is also exploited to recognize current contexts. Experiments have shown the feasibility of proposed programs which can be easily transplanted into different hardware platform.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 556-562)

Pages:

5497-5500

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.556-562.5497

Citation:

Cite this paper

Online since:

May 2014

Authors:

Wei Zhuang*, Dong Dai, Ren Jie Yu

Keywords:

Body Sensor Networks, CC2530, ECG, Physiological Signals

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Pantelopoulos, A.; Bourbakis, N.G., A Survey on Wearable Sensor-Based Systems for Health Monitoring and Prognosis, Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on , vol. 40, no. 1, p.1, 12, Jan. (2010).

DOI: 10.1109/tsmcc.2009.2032660

Google Scholar

[2] Chen M, Gonzalez S, Vasilakos A, et al. Body area networks: A survey[J]. Mobile Networks and Applications, 2011, 16(2): 171-193.

DOI: 10.1007/s11036-010-0260-8

Google Scholar

[3] Xi Chen, Sheng Hu, Zhenzhou Shao, Jindong Tan, Pedestrian positioning with physical activity classification for indoors, Robotics and Automation (ICRA), 2011 IEEE International Conference on , pp.1311-1316, 9-13 May (2011).

DOI: 10.1109/icra.2011.5980236

Google Scholar

[4] Ya Tian, Hamel, W.R., Jindong Tan, Accurate Human Navigation Using Wearable Monocular Visual and Inertial Sensors, Instrumentation and Measurement, IEEE Transactions on , vol. 63, no. 1, p.203, 213, Jan. (2014).

DOI: 10.1109/tim.2013.2277514

Google Scholar

[5] Zhuang W, Du T, Tang H. Energy-Efficient ECG Acquisition in Body Sensor Networks based on Compressive Sensing[J]. JDCTA: International Journal of Digital Content Technology and its Applications, 2011, 5(4): 18-25.

DOI: 10.4156/jdcta.vol5.issue4.3

Google Scholar