Wrist Wearable Physiological Signal Detection Equipment with Biochemical Materials

Article Preview

Abstract:

This paper designed a wrist Device which can detect physiological information and save the information data. The information got by device is including Oxygen saturation of blood, Pulse rate and steps. And the device even can distinguish the state of human body between fall and normal activities with 3-axis accelerometer. The equipment designed for family health care and remote healthy care field. The operation of device is so easy to be mastered that the device might have a potential value for the future medical field

You might also be interested in these eBooks

Info:

Periodical:

Pages:

293-297

Citation:

Online since:

January 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Xinxiang Sun, Research of Fall Detection Technology based on 3-axis Accelerometer, Shanghai Jiao Tong University master degree thesis. (2008).

Google Scholar

[2] What is e-health? , http: /www. ncbi. nlm. nih. gov/pmc/articles/PMC1761894.

Google Scholar

[3] BLT RSJ043CA, http: /www. r-rui. com/product_en. asp?id=258.

Google Scholar

[4] Zhang Zhiqing, Detection of optical sensor SpO2. Sensor World, Feb 1999, Volume: 2.

Google Scholar

[5] Huang Jianxin; Lu Huai, The Development of the pulse Oxygen Saturation Monitoring Module, Journal of Nanjing normal university (Engineering and technology), March 2006, Vol 6 No 1.

Google Scholar

[6] Zhou yin, Wang Shanjuan, Hang Yannan, the progress and the correctness of evaluation of Pulse Oximetry monition, China Anesthesia And Analgesia, 2002 4(4): 302-306, 310.

Google Scholar

[7] LIS35DE, ST MEMS motion Sensor Lis35de preliminary data.

Google Scholar

[8] MET in the aerobic exercise , http: /www. vo2max. com. cn/read. php?tid=2542.

Google Scholar

[9] Sun xinxiang, Research of Fall Detection Technology Based on 3-Axis Accelerometer, Master thesis, Aug 2009, CDMD: 2. 2009. 140807.

Google Scholar

[10] Thomas Degen, SPEED: A Fall Detector in a Wrist Watch, Wearable Computers, 2003. Seventh IEEE international Symposium on. Oct 2005, page: 184 – 187.

DOI: 10.1109/iswc.2003.1241410

Google Scholar

[11] Song haoran, Liao Wenshuai, Zhao Yiming, Using 3-Axis Accelerometer ADXL330 to High Accuracy Pedometer, China Journal of Sensors and Actuators. Aug 2006: Vol. 19 No. 4.

Google Scholar

[12] Thomas Degen, Heinz Jaeckel, Michael Rufer, Stefan Wyss, SPEEDY: A Fall Detector in a Wrist Watch, Seventh IEEE International Symposium on Wearable Computing, 2003: page 184-189.

DOI: 10.1109/iswc.2003.1241410

Google Scholar

[13] Li Qiang, John A. Stankovic, Mark A. Hanson Adam T. Barth, John Lach, Zhou Gang, Accurate, Fast Fall Detection Using Gyroscopes and Accelerometer, BSN '09 Proceedings of the 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks. 2009: Page 138-143.

DOI: 10.1109/bsn.2009.46

Google Scholar

[14] Zheng Wenjing; Li Mingqiang; Shu jiwu, Flash Storage Technology, Journal of Computer Research and Development, 2010, Volume: 4.

Google Scholar