2008, Number 1
<< Back Next >>
Rev Mex Ing Biomed 2008; 29 (1)
Design of an external demand pacemarker based on dsPIC30F4013
Huerta II, Gutiérrez AA
Language: Spanish
References: 12
Page: 21-27
PDF size: 116.20 Kb.
ABSTRACT
This paper describes the design and implementation of an external demand pacemaker. Signal conditioning electronic circuits were designed in order to obtain the quantization of cardiac electrogram signals, myocardium stimulation circuits were also designed. Ventricular activity was detected by implementing a QRS complex detector based on Haar wavelet. Detection and pacemaker control algorithms were programmed on the digital signal controller dsPIC30F4013. The developed prototype has been tested on laboratory, using records from MIT-BIH arrhythmia database and on guinea pigs in order to verify its correct operation.
REFERENCES
Norma EN-60601-2-31:1995 «Medical electrical equipment Part 2: Particular requirements for safety. Section 2.31 Specification for external cardiac pacemakers with internal power source, BSI 1999.
Hamilton P, Tompkins W. Quantitative investigation of QRS detection rules using the MIT/BIH arrhythmia database, IEEE transactions on biomedical engineering 1986; BME-33(12).
Okada M. A digital filter for the QRS complex detection. IEEE Trans Biomed Eng 1979: BME-26: 700-703.
Saxena SC, Kumar V, Hamde ST. QRS detection using new wavelets. Journal of Medical Engineering & Technology 26(1): 7-15.
Gutiérrez A, Lara M, Hernández P. Evaluación de un detector de complejo QRS basado en la wavelet de Haar usando las bases de datos MIT-IH de arritmias y Europea del segmento ST y de la onda T. Computación y Sistemas 8(4): 293-302.
Qiuzhen X, Yu HH, Tompikns W. Neural-Network-Based Adaptative Matched Filtering for QRS Detection. IEEE Transactions on Biomedical Engineering 39(4): 317-329.
Varanini M, Emdin M et al. A Two-channel adaptative filtering approach for recognition of the QRS Morphology; computers in cardiology 1991 IEEE.
Bert-Uwe K, Henning C, Orglmeister R. The principles of software QRS detection. IEEE Engineering in Medicine and Biology 21(1): 42-57.
Friesen G et al. A comparison of the noise sensitivity of nine QRS detection algorithms, IEEE. Transactions on Biomedical Engineering 37(1): 85-98.
Sun Y, Suppappola S, Wrublewski TA. Microcontroller-based real-time QRS detection. Biomed Instrum Technol 1992; 26(6): 477-484.
Köhler BU, Henning C, Orglmeister R. QRS detection using zero crossing counts. Progress in biomedical research 2003; 8(3).
Gutiérrez A, Hernández P, Lara M, Pérez SJ. Detector de complejo QRS basado en la wavelet de Haar. Memorias de la Cuarta Conferencia de Ingeniería Eléctrica CIE98, Septiembre 1998.