|Table of Contents|

[1] Qiu Wenjiao, Zhang Yongkui,. Physiological signal acquisition systembased on wireless sensor networks [J]. Journal of Southeast University (English Edition), 2010, 26 (1): 73-77. [doi:10.3969/j.issn.1003-7985.2010.01015]
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Physiological signal acquisition systembased on wireless sensor networks()
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
26
Issue:
2010 1
Page:
73-77
Research Field:
Information and Communication Engineering
Publishing date:
2010-03-30

Info

Title:
Physiological signal acquisition systembased on wireless sensor networks
Author(s):
Qiu Wenjiao Zhang Yongkui
Key Laboratory of Child Development and Learning Science of Ministry of Education, Southeast University, Nanjing 210096, China
Keywords:
wireless sensor network physiological signal education
PACS:
TN92
DOI:
10.3969/j.issn.1003-7985.2010.01015
Abstract:
Based on wireless sensor networks, a physiological signal acquisition system is proposed. The system is used in classroom education in order to understand the physiological changes in the students. In the system, the biological electrical signal related to student attention and emotion states can be measured by electrocardiography signals. The bioelectrical signal is digitalized at a 200 Hz sampling rate and is transmitted by the ZigBee protocol. Simultaneously, the Bluetooth technology is also embedded in the nodes so as to meet the high sampling rate and the high-bandwidth transmission. The system can implement the monitoring tasks for 30 students, and the experimental results of using the system in the classroom are proposed. Finally, the applications of wireless sensor networks used in education is also discussed.

References:

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Memo

Memo:
Biographies: Qiu Wenjiao(1969—), male, graduate; Zhang Yongkui(corresponding author), male, doctor, associate professor, yzhangb@seu.edu.cn.
Foundation item: The National Natural Science Foundation of China(No.60775057).
Citation: Qiu Wenjiao, Zhang Yongkui. Physiological signal acquisition system based on wireless sensor networks[J]. Journal of Southeast University(English Edition), 2010, 26(1): 73-77.
Last Update: 2010-03-20