A simple, wide bandwidth, biopotential amplifier to record pacemaker pulse waveform

Reliable detection of pacemaker pulses is getting more and more important in electrocardiography (ECG) diagnosis. Many studies recommend ECG amplifiers with higher bandwidth to prevent errors. In the past, few pilot studies showed that analysis of pacemaker pulses waveform can enhance diagnosis (eg, lead failure and fractured wire), but they were carried out with inadequate instrumentations for clinical practice. Typically, pacemaker pulses last hundreds of microseconds, edges of pulses elapse in few microseconds, and amplitude may exhibit large variations from few millivolts to volts. Pulse waveforms change often and depend on pacemaker type and programming. A simple, biopotential amplifier made of a few off-the-shelf components is proposed. The circuit fulfills specifications for biopotential amplifiers and offers a large bandwidth (~1 MHz). Therefore, it is able to accurately record time course of pacemaker pulses and allows highly accurate pulse detection and timing. Signals can be easily displayed and acquired by means of a standard, battery-powered oscilloscope. Pacemaker pulse vectorcardiography can be obtained by using two or more, wideband channels. Some exemplificative waveforms recorded during patient’s periodic medical examination are reported. The proposed circuit offers simultaneous conventional ECG signal as an additional output.

[1]  Andre van Schaik,et al.  Wearable dry sensors with bluetooth connection for use in remote patient monitoring systems. , 2010, Studies in health technology and informatics.

[2]  Milan Tannenberg,et al.  Measurement and significance of pacemaker pulse parameters. , 2007 .

[3]  H. Grendahl Registration of pacemaker-induced skin potentials in the routine control of implanted pacemakers. , 1969, Scandinavian journal of clinical and laboratory investigation.

[4]  A. Curtis,et al.  Diagnostic value of the 12-lead electrocardiogram during conventional and biventricular pacing for cardiac resynchronization. , 2006, Cardiology clinics.

[5]  Maria Romano,et al.  An ultra-high input impedance ECG amplifier for long-term monitoring of athletes , 2010, Medical devices.

[6]  Uwe Dorwarth,et al.  Transvenous Defibrillation Leads: High Incidence of Failure During Long‐Term Follow‐Up , 2003, Journal of cardiovascular electrophysiology.

[7]  G. D. Green,et al.  Detection of faults in implanted cardiac pacemakers. , 1969, British heart journal.

[8]  M. Guglin,et al.  Common errors in computer electrocardiogram interpretation. , 2006, International journal of cardiology.

[9]  W. Irnich,et al.  Post-mortem evaluation of 415 pacemakers: in situ measurements and bench tests. , 2005, Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology.

[10]  H. Siddons,et al.  The detection of impending failure in implanted pacemakers , 1969, Thorax.

[11]  S. Chugh,et al.  Predictors and mode of detection of transvenous lead malfunction in implantable defibrillators. , 2001, The American journal of cardiology.

[12]  S. Swiryn,et al.  Improved pacemaker pulse detection: clinical evaluation of a new high-bandwidth electrocardiographic system. , 2011, Journal of electrocardiology.

[13]  L. Baddour,et al.  Temporal trends in permanent pacemaker implantation: a population-based study. , 2008, American heart journal.

[14]  Maya E Guglin,et al.  Electrocardiograms with pacemakers: accuracy of computer reading. , 2007, Journal of electrocardiology.

[15]  E. Sowton,et al.  Clinical testing of implanted pacemakers. , 1971, Thorax.

[16]  F. Hepburn Discriminating Between Types of Pacemaker Lead Failure , 1978 .

[17]  T. Thom,et al.  American Heart Association Statistics Committee and Stroke Statistics Subcommittee : Heart disease and stroke statistical-2006 update : A report from the American Heart Association Statistics Committee and Stroke statistics subcommittee , 2006 .

[18]  Paul Kligfield,et al.  Diagnostic performance of a computer-based ECG rhythm algorithm. , 2005, Journal of electrocardiology.