Body Surface Potential Mapping

Ambroggi, L. De; Corlan, Alexandru Dan

doi:10.1007/978-1-84882-046-3_32

Cited by 8 publications

(16 citation statements)

References 124 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…[144,504,505,511]. The spreading of these techniques of potential recording is motivated by the fact that BSM provide diagnostic information which could not be obtained by conventional electrocardiograms in many heart diseases, such as Wolff-Parkinson-White and myocardial ischemia.…”

Section: The Inverse Problem Of Electrocardiologymentioning

confidence: 99%

Mathematical Cardiac Electrophysiology

Franzone

Pavarino

Scacchi

2014

MS&A

191

261

View full text Add to dashboard Cite

Section: The Inverse Problem Of Electrocardiologymentioning

confidence: 99%

Mathematical Cardiac Electrophysiology

Franzone

Pavarino

Scacchi

2014

MS&A

191

261

View full text Add to dashboard Cite

“…Using BSPM during the period of ventricular repolarization in healthy adults, variants of the distribution of zones and extrema of cardiopotentials on the torso surface were described (Roshchevskaya, 2008;De Ambroggi and Corlan, 2011). Therefore, in the initial state and under HH and HCH, the location of the zones and extrema of cardiopotential in swimmers and untrained people corresponded to those in healthy subjects.…”

Section: Discussionmentioning

confidence: 99%

“…However, such ECG changes are not highly specific and can appear with other functional and morphological changes in the myocardium (Macfarlane and Lawrie, 2011). Registration and analysis of unipolar electrocardiograms from multiple leads on the surface of the chest (body surface potential mapping [BSPM] method) have high sensitivity and help to obtain detailed information about electrophysiological processes (Mirvis 1988;De Ambroggi and Corlan, 2011;Polyakova et al, 2015;Strutynsky et al, 2015;Wissner et al, 2017). The information obtained using this method includes the amplitude, temporal, and spatial components of the signal, and it is used to localize and evaluate the area of ischemic damage of the heart muscle, myocardial electrical inhomogeneity and its hypertrophic remodeling (Magomedova et al, 2016;Tsyganov et al, 2018) and to diagnose cardiac arrhythmias, cardiomyopathies, and myocardial hypertrophy (Bond et al, 2013;Treshkur et al, 2014;Srinivasan et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Body Surface Potential Mapping During Heart Ventricular Repolarization in Male Swimmers and Untrained Persons Under Hypoxic and Hypercapnic Hypoxia

Ivonina

Fokin

Roshchevskaya

2021

High Altitude Medicine & Biology

View full text Add to dashboard Cite

Ivonina, Natalya I., Andrey A. Fokin, and Irina M. Roshchevskaya. Body surface potential mapping during heart ventricular repolarization in male swimmers and untrained persons under hypoxic and hypercapnic hypoxia. High Alt Med Biol. 00:000-000, 2021. Background: In swimmers, as a result of prolonged breath-holding during swimming, first hypoxic hypoxia (HH) and then hypercapnic hypoxia (HCH) occurs, which may influence the electrical activity of the heart (EAH). What type of normobaric hypoxia more strongly affects the EAH-normocapnic HH or HCH? Methods: The electrical activity of swimmers' hearts (n = 7) and untrained persons (n = 10) was studied by using electrocardiography (ECG) and body surface potential mapping (BSPM) during the period of ventricular repolarization at baseline, at normocapnic HH, at HCH, and in the recovery period. Results: HH led to more significant changes in the EAH in all participants in comparison with HCH. There was no change in the amplitude of T wave ECG at hypoxic and HCH, but a change in the amplitude of the minimum was noted in BSPM. The minimum in athletes changed by the end of the exposure (from -0.40 -0.12 mV to -0.26 -0.11 mV, p = 0.001); in the control, it decreased earlier (after 8 minutes of exposure to HH, the amplitude of the minimum was -0.24 -0.08 mV, p = 0.026). With HH, the duration of the QT interval in athletes was shortened due to the shortening of the J-Tpeak (from 250 to 188 ms, p = 0.001) and the Tpeak-Tend (from 98 to 86 ms) intervals. In controls, the decrease in the QT interval was due to the J-Tpeak shortening only (from 280 to 200 ms, p = 0.026). Conclusions: In the study of the effect of hypoxia on the EAH during ventricular repolarization, the use of the BSPM has proven to be more informative than the use of traditional ECG. When using potential mapping, more significant changes in ventricular repolarization at HH than at HCH were revealed, whereas the parameters changed less in swimmers compared with the baseline than in controls during both exposures.

show abstract

“…These test shocks provide a rare opportunity to record the ICD potential maps in patients. Although BSPM is a well established technique, 24,25,26,27,28 using it during defibrillation and in the catheterization laboratory environment requires additional consideration to allow space on the torso surface for the sterile implantation region, the external defibrillation pads, and other instruments for the safety of the patient. Consequently, there is a highly limited and variable area of the torso surface that is available for the placement of validation BSPM lead systems.…”

Section: Introductionmentioning

confidence: 99%

Measuring defibrillator surface potentials: The validation of a predictive defibrillation computer model

Tate

Stinstra

Pilcher

et al. 2018

Computers in Biology and Medicine

View full text Add to dashboard Cite

Implantable cardioverter defibrillators (ICDs) are commonly used to reduce the risk in patients with life-threatening arrhythmias, however, clinicians have little systematic guidance to place the device, especially in cases of unusual anatomy. We have previously developed a computational model that evaluates the efficacy of a delivered shock as a clinical and research aid to guide ICD placement on a patient specific basis. We report here on progress to validate this model with measured ICD surface potential maps from patients undergoing ICD implantation and testing for defibrillation threshold (DFT). We obtained body surface potential maps of the defibrillation pulses by adapting a limited lead selection and potential estimation algorithm to deal with the limited space for recording electrodes. Comparison of the simulated and measured potential maps of the defibrillation shock yielded similar patterns, a typical correlation greater than 0.9, and a relative error less than 15%. Comparison of defibrillation thresholds also showed accurate prediction of the simulations. The high agreement of the potential maps and DFTs suggests that the predictive simulation generates realistic potential values and can accurately predict DFTs in patients. These validation results pave the way for use of this model in optimization studies prior to device implantation.

show abstract

Body Surface Potential Mapping

Cited by 8 publications

References 124 publications

Mathematical Cardiac Electrophysiology

Mathematical Cardiac Electrophysiology

Body Surface Potential Mapping During Heart Ventricular Repolarization in Male Swimmers and Untrained Persons Under Hypoxic and Hypercapnic Hypoxia

Measuring defibrillator surface potentials: The validation of a predictive defibrillation computer model

Contact Info

Product

Resources

About