Design and Implementation of an Embedded System for Ambulatory Cardiac Monitoring
DOI:
https://doi.org/10.26636/jtit.2012.1.1249Keywords:
arrhythmia, ECG, embedded system, GSM communication, heart rate, telemedicineAbstract
Cardiac monitoring in the environment of the subject is one of the major fields of telemedicine. In this paper we present a prototype of embedded system for acquisition, storage, display on LCD or PC and transfer via GSM alarm warning in case of arrhythmias, which allows a great opportunity for rapid intervention of the physician. In terms of hardware, we have designed and implemented our system with a modular approach to facilitate development and debugging. Thus the system comprises three modules: analog module, digital module microcontroller-based for certain pretreatment, and a GSM communication module. Of course, there is appropriate software behind the material described. The system has the following features: low cost, ease to implement and versatility.
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References
[1] Physionet [Online]. Available: http://www.physionet.org/physiobank/database
View in Google Scholar
[2] S. L. Toral, J. M. Quero, M. Elena, and L. G. Franquelo, „A microprocessor based system for ECG telemedicine and telecare”, in Proc. IEEE Int. Symp. Circuits Sys. ISCAS 2001, Sydney, Australia, 2001, vol. 4, pp. 526-529.
View in Google Scholar
[3] Welch Allyn OEM Technologies, „ECG/Respiration ASIC: ECG 3-lead, 5-lead, 12-lead and SP Signal Processing”, (11/09/2003).
View in Google Scholar
[4] D. Lucani, G. Cataldo, J. Cruz, G. Villegas, and S. Wong, „A portable ECG monitoring device with Bluetooth and Holter capabilities for telemedicine applications”, in Proc. 28th IEEE EMBS Ann. Int. Conf., New York City, USA, 2006.
View in Google Scholar
[5] I. Romero Legameta et al., „Real-time classification of ECGs on a PDA”, IEEE Trans. Inform. Technol. Biomed., vol. 30, pp. 565-568, 2003.
View in Google Scholar
[6] R. Istepanian, R. García, A. Alesanco, and S. Olmos, „A novel real-time multilead ECG compression and de-noising method based on the wavelet transform”, IEEE Trans. Inform. Technol. Biomed., vol. 30, pp. 593-596, 2003.
View in Google Scholar
[7] S. Borromeo, C. Rodriguez-Sanchez, F. Machado, J. A. Hernandez-Tamames, and R. de la Prieta, „A reconfigurable, wearable, wireless ECG system”, in Proc. 29th Ann. Int. Conf. IEEE EMBS, Lyon, France, 2007.
View in Google Scholar
[8] C.-N. Chien, H.-W. Hsu, J.-K. Jang, C.-L. Rau, and F.-S. Jaw, „Microcontroller-based wireless recorder for biomedical signals”, in Proc. 27th IEEE Ann. Conf. Engin. Medicine and Biology, Shanghai, China, 2005.
View in Google Scholar
[9] „ECG front-end design is simplified with MicroConverter®”, Analog Devices Application Note [Online]. Available: http://www.analog.com/library/analogdialogue/archives/37-11/ecg.pdf
View in Google Scholar
[10] U. Rajendra Acharya, A. E. Spaan, J. Suri, and S. M. Krishnan, Advances in Cardiac Signal Processing. Springer, 2007.
View in Google Scholar
[11] T. Degen and H. Jäckel, „A pseudodifferential amplifier for bioelectric events with DC-offset compensation using two-wired amplifying electrodes”, IEEE Trans. Biomed. Eng., vol. 53, no. 2, pp. 300-310, 2006.
View in Google Scholar
[12] J. Webster, Medical Instrumentation Application and Design. Wiley, 2010.
View in Google Scholar
[13] Microchip, PIC16F876 Datasheets [Online]. Available: http://ww1.microchip.com/downloads/en/devicedoc/30292c.pdf
View in Google Scholar
[14] Microchip, 24LC256 Datasheets [Online]. Available: http://ww1.microchip.com/downloads/en/DeviceDoc/21203P.pdf
View in Google Scholar
[15] Philips Semiconductors. The I2C-bus specification [Online]. Available: http://www.nxp.com/documents/other/39340011.pdf
View in Google Scholar
[16] MAXIM, Max232 Datasheets [Online]. Available: http://www.datasheetcatalog.net/datasheets_pdf/M/A/X/2/MAX232.shtml
View in Google Scholar
[17] Nokia 3310 LCD open source [Online]. Available: http://webspace.webring.com/people/fd/dariuskrail20/nokia3310lcd.html
View in Google Scholar
[18] Philips Semiconductors. PCD8544 Datasheets [Online]. Available: http://www.nxp.com/acrobat_download2/datasheets/PCD8544_1.pdf
View in Google Scholar
[19] AAMI, American National Standard, Safe Current Limits for Electromedical Apparatus (ANSI/AAMI ES1-1993). Association for the Advancement of Medical Instrumentation, 1993.
View in Google Scholar
[20] J. Pan and W. J. Tompkins, „A real time QRS detection algorithm”, IEEE Trans. Biomed. Eng., vol. 32, no. 3, pp. 230-236, 1985.
View in Google Scholar
[21] Heart-Rate and EKG Monitor Using the MSP430FG439. Texas Instruments Application Report, 2008.
View in Google Scholar
[22] L. Tan, Digital Signal Processing: Fundamentals and Applications. Elsevier, 2008.
View in Google Scholar
[23] P. S. R. Diniz, E. A. B. da Silva, and S. L. Netto, Digital Signal Processing: System Analysis and Design. Cambridge University Press, 2002.
View in Google Scholar
[24] L. Sornmo and P. Laguna, Bioelectrical Signal Processing in Cardiac and Neurological Applications. Elsevier, 2005.
View in Google Scholar
[25] A. J. Guyton and J. E. Hall, Textbook of Medical Physiology. Elsevier, 2006.
View in Google Scholar
[26] On the use of AT commands for controlling the mobile phone with microcontroller [Online]. Available: http://www.pwt.et.put.poznan.pl/srv07/papers/PWT%202007_7835.pdf
View in Google Scholar
[27] AVR323: Interfacing GSM modems. ATMEL Application Note [Online]. Available: http://www.atmel.com/dyn/resources/prod_documents/doc8016.pdf
View in Google Scholar
[28] SMS PDU open source [Online]. Available: http://www.scampers.org/steve/sms/samples.htm
View in Google Scholar
[29] B. Halak, J. Murphy, and A. Yakovlev, Electrocardiogram Monitor Design from Concept to Silicon. Technical Report Series. Newcastle University, 2011.
View in Google Scholar
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