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Patient Heart Beat Monitoring System Using PIC Microcontroller

B. Divya, V. Divya, K. Hari Priya, P. Jeevitha, J. Dhanasekar


This paper describes the development of a heart rate monitor system based on a microcontroller. It offers the advantage of portability over tape-based recording systems. The paper explains how a single- chip microcontroller can be used to analyze heart beat rate signals in real-time. In addition, it allows doctors to get the heart beat rate file of the patient by e-mail every twenty four hours. It can also be used to control patients or athletic person over a long period. The system reads, stores and analyses the heart beat rate signals repetitively in real-time. The hardware and software design are oriented towards a single-chip microcontroller-based system, hence minimizing the size. The important feature of this paper is the use of zero crossing algorithms to compute heart rate. It then processes on real-time the information to determine some heart diseases.


Microsystems, Microcontroller, Real-Time, Heart Rate Monitoring, Zero Crossing Algorithm.

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Abenstein J. and Tompking W., “A New Data-Reduction Algorithm for Real Time ECG Analysis,” IEEE Transactions BiomedicalEngineering, vol. 29, no. 1, pp. 43-47, 1982.

Arif C., “Embedded Cardiac Rhythm Analysis and Wireless Transmission (Wi-CARE),” MSThesis, School of Computing and SoftwareEngineering, Southern Polytechnic State University, Marietta, Georgia, USA, 2004.

Ayang-ang C. and Sison L., “Electrocardiograph Pre-Filtering, QRS Detection, and Palm Display Programming for Biomedical Applications,” inProceedings of the ECE Conference, Universityof St. Tomas, Manila, 2001.

Balm G., “Cross-Correlation Techniques Applied to the Electrocardiogram Interpretation

Celler B., “Remote Monitoring of Health Status of the Elderly at Home,” International Journal ofBiomedical Computing, vol. 40, no. 2, pp.147-153, 1995.

Choi W., Kim H., and Min B., “A New Automatic Cardiac Output Control Algorithm for Moing Actuator Total Artificial Heart by Motor Current Waveform Analysis,” InternationalJournal of Artificial Organs, vol. 19, no. 3, pp.189-197, 1996.

Enderle J., Introduction to BiomedicalEngineering, Academic Press, USA, 2000.

Lee H., Park S., and Woo E., “Remote Patient Monitoring Through the World-Wide Web,” inProceedings of the 19th International Conference of IEEE, Chicago, IL, USA, pp. 928-931, 1997.

Leffler C., Saul J., and Cohen R., “Rate-Related and Autonomic Effects on Atrioventricular Conduction Assessed Through Beat-to-Beat PR Interval and Cycle Length Variability,” Journalof Cardiovascular Electrophysiology, vol. 5, no.1, pp. 2-15, 1993.

Microchip Manual, PIC16F87X Data sheet 28/40-Pin 8-bit FLASH Microcontrollers, Microchip Technology Inc., 2001.

Morizet-mahoudeaux P., Moreau C., Moreau D., and Qharante J., “Simple Microprocessor-Based System for on-Line ECG Arrhythmia Analysis,” Medical and Biological Engineering, pp.497-500, 1981.

Mulder Van Roon A. and Schweizer D., “Cardiovascular Data Analysis Environment (CARSPAN) User's Manual,” Groeningen, TheNetherlands, 1995.

Prieto A. and Mailhes C., “Multichannel ECG Data Compression Method Based on a New Modeling Method,” Computers in Cardiology, vol. 28, pp. 261-264, 2001.

Prybys K. and Gee A., “Polypharmacy in the Elderly: Clinical Challenges in Emergency Practice,” Part 1 Overview, Etiology, and DrugInteractions, Emergency Medicine Reports, vol.23, no. 11, pp. 145-151, 2002.

Schamroth C., An Introduction to ElectroCardiography, Blackwell Science Publishing, 7thedition, 2001.

Shemwetta D. and Ole-Meiludie R., “The Physical Workload of Employees in Logging and Forest Industries,” Wood for Africa ForestEngineering Conference, pp. 178-185, 2002.

Tura A., Lambert C., Davall A., and Sacchetti R., “Experimental Development of a Sensory Control System for an Upper Limb Myoelectric Prosthesis with Cosmetic Covering,” Journal of Rehabilitation Research and Development, vol. 35, no. 1, pp. 14-26, 1998.

Woodward B. and Habib R. “The Use of Underwater Biotelemetry for Monitoring the ECG of Swimming Patient,” in Proceedings of the 1st Regional IEEE-EMBS Conference, NewDelhi, India, pp. 107-108, 1995.

Yang B., Rhee S., and Asada H., “A Twenty-Four Hour Tele-Nursing System Using a Ring Sensor,” IEEE International Conference on Robotics and Automation, Leuven, Belgium, 1998.


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