ECG Application to Remote Care System via Web-Based and Graphics Interface

Article Preview

Abstract:

This system was composed of independently developed ECG Signal Acquisition Model, DAQ Signal Acquisition Card, and the LabVIEW Graphics System. Regarding the ECG Signal Acquisition Model, this system uses the TL082 Operational Amplifier to realize the amplification, and uses the Filter Circuits along with the ISO122 to isolate IC. Regarding the ECG oscillogram display and ECG Signal Acquisition, the LabVIEW Graphics System developed by the American company “National Instruments” (NI) was adopted. Also, the LabVIEW system and the DAQ signal acquisition card of the Data Acquisition Package developed by the NI Company was adopted as well.The DAQ signal acquisition card can engage in A/D, DI/O, number counting and time counting applications. At last, it can use the TCP/IP Protocol to send the ECG waveform data by the internet to the computers with remote surveillance monitors. The remote surveillance computers can be installed in the hospital. Professional doctors in the hospital can observe the patient’s ECG waveform data and statistics, and engage in the job of remote care.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 217-218)

Pages:

1330-1335

Citation:

Online since:

March 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] D. C, Lewis, Predicting the future of health care, The Brown University Digest of Addiction Theory & Application, v 18, Iss. 4, pp.12-16, (1999).

Google Scholar

[2] F., Dixie,. In-home tests make health care easier, FDA Consumer, v. 28, pp.25-28, (1994).

Google Scholar

[3] M., Stephen, K., William, The top 10 innovative products for 2006: Technology with a human touch, The Futurist, v 30, Iss. 4, pp.16-20, (1996).

Google Scholar

[4] C.Y. Chang, Investigation into domestic future industry opportunities from the ageing society—remote nursing, Industrial Economics and Knowledge Center/ITRI, (2004).

Google Scholar

[5] Faber, Tylova, Tyl et al., Efficacy of EEG Biofeedback in the treatment of Hyperkinetic Behavior Disorder., Study for Ministry of Education. EEG and WISC controlled study (30 experimental, 30 control subjects). In Czech. (2005).

Google Scholar

[6] Smith, Cynthia., Bell, Martha Ann., Wolfe, Christy. and Morasch, Katherine. Infant EEG as a Predictor of Toddlerhood Behavior Problems,  the XVth Biennial International Conference on Infant Studies, Westin Miyako, Kyoto, Japan, Jun 19, (2006).

Google Scholar

[7] C.Y. Lai, S.C. Chu, C.C. Chiu, Y.H. Chen, C.J. Huang, New Smart Medical-Care Clothes for Wireless Network Transmission, Chang Gung University, MIST 2005, pp.397-402, (2005).

Google Scholar

[8] G.M. Chang, M.S. Shih, J.H. Lan, Applications of Combined bio-signal and PDA on nursing passports, Cross-Strait Conference on Next Generation Internet Services and Applications, Taiwan, pp.257-265, (2007).

Google Scholar

[9] W.T. Hung, K.M. Guo, G.J. Wu, B.M. Shih, L.J. Wu, J.H. Chang, Realization of Portable Wireless Bio-Signal Monitoring system on Java Platform, Health and Management Conference, YuanPei, Hsinchu. (2006).

Google Scholar

[10] Wen-Tsai Sung, Jui-Ho Chen, Meng-Hui Wang, Yao-Chi Hsu Remote Medical Care System Design Based on RFID and Zigbee Technology via Wireless Sensors Network, International Journal of Innovative Computing, Information and Control, Vol. 6, No. 11, pp.5203-5220. November. (2010).

Google Scholar

[11] Wen-Tsai Sung, Chia-Hao Chen Parallel Data Fusion for an Industrial Automatic Monitoring System using Radial Basis Function Networks, International Journal of Innovative Computing, Information and Control, Vol. 6, No. 6, pp.2523-2536. June. (2010).

Google Scholar