Abstract
Catheter ablation is the most widely used minimum invasive technique to cure atrial arrhythmias. However, the success rate of the treatment is still moderate and depends on the experience and expertise of the physicians. The aim of this work is to present a simple and feasible method to identify the arrhythmogenic areas on the atrium based on the duration of atrial activities in the intraatrial electrograms. Depolarization waves are created by giving pacing impulses from coronary sinus (CS). The duration of the activity triggered from sinus node (SN) and pacing sequences are analysed by calculating the duration of the activity to mark regions with long atrial activity waves. The intraatrial electrograms have been analysed on the basis of temporal and spatial information. The region specific study may favour the localization of the critical sites in the patient specific atrial anatomy and aid the physician in ascertaining the efficacy of the cardiac therapies. The identification of suitable markers for critical patterns of the depolarization waves may be crucial to guide an effective ablation treatment. In this work a novel study for point-to-point analysis of the intraatrial electrograms was carried out.
1 Introduction
Atrial Fibrillation is the most common cardiac arrhythmia [1]. This condition increases with age and will increase the risk of strokes, hospitalization, as well as reduction of the quality of life [3]. Catheter ablation is the commonly used technique to cure atrial arrhythmia, if drug therapy fails. The success rate of the procedure could be increased by precisely locating the arrhythmogenic substrate.
In this work a pacing sequence with pacing protocol 400 ms - 350 ms has been used. The study includes two clinical cases. In both cases, the pacing triggers were given from CS catheter. CS is used for pacing because it remains stationary throughout the recording. SN and CS triggered intraatrial activities are analysed. The behaviour in terms of duration of the activity and differences in conduction patters were analysed at various location. Arrhythmogenic tissues will either show no or multiple deflections in the activity. This is a marker for the arrhythmogenic substrate. The method is easy to intergrate in routine clinical environment since it is based on routine clinical recordings. Therefore on a long run these clinical studies could help in better clinical procedures to cure atrial arrhythmias.

Representation of the 400 ms - 350ms stimulus protocol. Time difference between CS trigger 1 and Sinus trigger was 400 ms, while time difference between CS trigger 1 and CS trigger 2 was 350 ms. Therefore, at each location three activities could be observed.
Details of the clinical cases
Clinical case | Age, Sex | Weight (kg) | Prior Ablation Ablation | Fibrillation type |
---|---|---|---|---|
P1 | 62, M | 80 | Yes | Paraoxysmal |
P2 | 67, F | 60 | No | Paraoxysmal |
2 Method
2.1 Patient data
Clinical recordings of both the clinical cases have been done at Städtisches Klinikum Karlsruhe with a written informed consent. Details of both clinical cases are given in table 1. A spiral catheter was used to record the atrial electrogram. Clinical case P1 was a post ablation case while clinical case P2 was a pre ablation case.

3D endocardial surface point representation for a) Patient P1, b) Patient P2. Blue are the points recorded using the velocity system. Red are the points of interest marked by the physicians.
2.2 Electroanatomical mapping
The electroanatomical mapping system Velocity (St. Jude Medical) was used to record the clinical cases. Based on the expertise and experience, the physicians selected the points of interest, to get the electrograms containing the activities triggered from SN and CS pacing sequences. Figure 2 represents the two clinical cases with all the recorded points (blue dots) and the physician selected points (red dots). The red dots represent the locations for which the electrograms have been analyzed. The stimulus protocol of 400 ms-350 ms was used for both cases. The time delay between physiological trigger at SN and trigger CS 1 was set to 400 ms. The time delay between trigger CS 1 and trigger CS 2 was set to 350 ms as represented in figure 1. Electrode 7-8 in CS catheter was used to stimulate in patient 1, while CS catheter electrode Distal-2 was used to stimulate in patient 2. The activities resulting from the triggers were considered separately for further analysis as represented in figure 3. The surface ECG signals and the coronary sinus signals were used as reference signals.
2.3 Data analysis
At each physician-selected point, the 1.5 second long electrograms were analysed separately as represented in figure 3. This comprises the activities triggered from the sinus node (SN), CS 1 trigger and CS 2 trigger. The activities triggered at SN, CS1 and CS2 are encircled in figure 3. At all the locations, the intracardiac electrogram along with the surface ECG signals and CS signals were analysed. The surface ECG was used to remove ventricular far fields (VFF). The CS signals were used to align the atrial activities initiated from the CS stimulus. The activities from SN trigger, CS 1 trigger and CS 2 trigger were segmented and analysed separately as represented in figure 4.

Representation of the the intraatrial electrograms with respect to their location on the atrium. a) intraatrial electrograms with i) SN triggered activities, ii) CS 1 triggered activities, iii) CS 2 triggered activities, b) 3D atrial geometry.
2.4 Parameter analysis

Representation of the LAT selection and duration of activity determination from CS1 triggered activity using NLEO. The maxima from the stimulus artifact to NLEO maxima of the activity is the LAT. The step function gives the duration of the activity.
After getting desired segment out of the entire dataset, the statistical analysis on the basis of atrial activity duration was done. To avoid the patient going into fibrillation again, the pacing sequence of 400 ms - 350 ms was used. In both the clinical cases, the time taken by the depolarization wavefront to cover the entire left atrium after being triggered at SN and CS has been calculated. This is calculated using the local activation time (LAT) represented in table 2. The LAT of each location was calculated using the Nonlinear Energy Operator (NLEO) [4, 5]. Local activation time is the time where the maximum of the NLEO was detected, as represented in figure 4. The NLEO for the sample j of signal x was calculated using:

The atrial activity duration interpolated over the left atrium for patient P1. a) During sinus triggering, b) during CS triggering 1, c) during CS triggering 2. Red to blue represents the region with smaller to larger widths. Encircled are the regions with larger activity duration, which are suspected to be the arrhythmogenic substrate.
The step window is calculated based on the NLEO in each electrogram for each activity. This has been calculated by using the standard deviation of 0.1 to the maxima of the energy value [6]. The width of these electrograms is then interpolated over the atrium for visualization purpose. Also the differences in the time and the propagation pattern of the depolarization wavefront triggered by CS 1 and CS 2 trigger were determined over the atrium. This also gives an indication of arrhythmogenic substrates.
3 Results
3.1 Data analysis
Activity duration is computed for both clinical cases and for the activities from all three triggers, as represented in figure 5 and 6 below. The color-coding is chosen so that red to blue represents the least to maximum duration of the atrial activities. The region in which the duration of the atrial activity is large is considered to be the region of interest. These regions are encircled in figure 5 and 6 for both clinical cases. The LAT information gives the time at which a particular location is depolarized, after removing the off-set, the difference of the LAT for CS 2 trigger and CS 1 trigger was calculated. This was to see the difference in depolarization wavefront propagation. This difference of LAT for CS 1 triggering as compared to CS 2 triggering for both clinical cases is depicted in figure 7. Looking at figure 5, 6 and 7, the region encircled could be suspected to be the region of arrhythmogenic substrate.

The atrial activity duration interpolated over the left atrium for patient P2. a) During sinus triggering, b) during CS triggering 1, c) during CS triggering 2. Red to blue represents the region with smaller to larger widths. Encircled are the regions with larger activity duration, which are suspected to be the arrhythmogenic substrate.
Time taken by the depolarization wavefront to cover the entire atrium
Clinical case | Sinus trigger (ms) | CS1 trigger (ms) | CS2 trigger(ms) |
---|---|---|---|
P1 | 97.7887 | 88.9423 | 90.9091 |
P2 | 101.7190 | 103.6855 | 91.8919 |
3.2 Parameter analysis
The time taken by the depolarization wave to spread over left atrium is listed in table 2.

Interpolation of the difference of LAT for CS triggering 1 compared to CS triggering 2, a) for patient P1, b) for patient P2. Encircled is the region in which the conduction pattern changes.
4 Discussion
The alignment of each atrial activity is done using the CS signals. The VFF always appear after the atrial activity. The removal of the VFF is done with respect to the ECG signals. Double potentials and late potentials were absent in both clinical cases. A considerable duration should be kept between the triggering impulses, so that clear activities can be obtained from different triggers. Thus, 350 ms time difference was kept between CS 1 and CS 2 trigger. Looking at the visualization of the atrial activity durations along with the interpolation of the differences of LAT gave clear indication for the region of arrhythmogenic substrate. This has been observed in both the clinical cases. Since routine clinical recordings have been used to find the arrhythmogenic substrate, this method is easy to integrate into the clinical environment.
Funding
The work of Bhawna Verma is funded by German Academic Exchange Service, DAAD.
Author's Statement
Conflict of interest: Authors state no conflict of interest. Material and Methods: Informed consent: Informed consent has been obtained from all individuals included in this study. Ethical approval: The research related to human use has been complied with all the relevant national regulations, institutional policies and in accordance the tenets of the Helsinki Declaration, and has been approved by the authors’ institutional review board or equivalent committee.
References
[1] Calkins, H., Kuck, K. H., et. al. 2012 HRS/EHRA/ECAS expert consensus statement on catheter and surgical ablation of atrial fibrillation: recommendations for patient selection, procedural techniques, patient management and follow-up, definitions, endpoints, and research atrial design. J Interv Card Electrophysiol, vol. 33, pp. 171- 257, 2012.10.1007/s10840-012-9672-7Suche in Google Scholar PubMed
[2] Jacquemet, V., Kappenberger L., Henriquez C. S. Modeling atrial arrhythmias: Impact on clinical diagnosis and therapies. IEEE Reviews in Biomedical Engineering, vol 1, pp. 94- 114, 2008.10.1109/RBME.2008.2008242Suche in Google Scholar PubMed
[3] Kannel WB, Abbot RD, Savage DD, McNamara PM. Epidemiologic features of chronic atrial fibrillation: the Framingham study. N Engl J Med, 306. 1018 - 22, 1982.10.1056/NEJM198204293061703Suche in Google Scholar PubMed
[4] Schilling C, Nguyen MP, Luik A, Schmitt C, Dössel O. Non-Linear Energy Operator for the Analysis of Intracardial Electrograms. IFMBE Proceedings World Congress on Medical Physics and Biomedical Engineering, volume 25/4, 872- 875, 2009.10.1007/978-3-642-03882-2_233Suche in Google Scholar
[5] Oesterlein, T. G., Keller, M. W., Schuler, S., Luik, A., Seemann, G., Schmitt, C., Dössel, O. Determination of local activation time in bipolar endocardial electrograms: a comparison of clinical criteria and a new method based on the non-linear energy operator. Journal of Electrocardiology, volume 46, e18, 2013.10.1016/j.jelectrocard.2013.05.066Suche in Google Scholar
[6] Nguyen, M.P., Schilling, C., Dössel, O. A new approach for automated location of active segments in intracardiac electrograms. IFMBE Proceedings World Congress on Medical Physics and Biomedical Engineering, volume 25/4, 763- 766, 2009.10.1007/978-3-642-03882-2_203Suche in Google Scholar
© 2015 by Walter de Gruyter GmbH, Berlin/Boston
This article is distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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- Understanding the cellular mode of action of vernakalant using a computational model: answers and new questions
- Research Article
- A java based simulator with user interface to simulate ventilated patients
- Research Article
- Evaluation of an algorithm to choose between competing models of respiratory mechanics
- Research Article
- Numerical simulation of low-pulsation gerotor pumps for use in the pharmaceutical industry and in biomedicine
- Research Article
- Numerical and experimental flow analysis in centifluidic systems for rapid allergy screening tests
- Research Article
- Biomechanical parameter determination of scaffold-free cartilage constructs (SFCCs) with the hyperelastic material models Yeoh, Ogden and Demiray
- Research Article
- FPGA controlled artificial vascular system
- Research Article
- Simulation based investigation of source-detector configurations for non-invasive fetal pulse oximetry
- Research Article
- Test setup for characterizing the efficacy of embolic protection devices
- Research Article
- Impact of electrode geometry on force generation during functional electrical stimulation
- Research Article
- 3D-based visual physical activity assessment of children
- Research Article
- Realtime assessment of foot orientation by Accelerometers and Gyroscopes
- Research Article
- Image based reconstruction for cystoscopy
- Research Article
- Image guided surgery innovation with graduate students - a new lecture format
- Research Article
- Multichannel FES parameterization for controlling foot motion in paretic gait
- Research Article
- Smartphone supported upper limb prosthesis
- Research Article
- Use of quantitative tremor evaluation to enhance target selection during deep brain stimulation surgery for essential tremor
- Research Article
- Evaluation of adhesion promoters for Parylene C on gold metallization
- Research Article
- The influence of metallic ions from CoCr28Mo6 on the osteogenic differentiation and cytokine release of human osteoblasts
- Research Article
- Increasing the visibility of thin NITINOL vascular implants
- Research Article
- Possible reasons for early artificial bone failure in biomechanical tests of ankle arthrodesis systems
- Research Article
- Development of a bending test procedure for the characterization of flexible ECoG electrode arrays
- Research Article
- Tubular manipulators: a new concept for intracochlear positioning of an auditory prosthesis
- Research Article
- Investigation of the dynamic diameter deformation of vascular stents during fatigue testing with radial loading
- Research Article
- Electrospun vascular grafts with anti-kinking properties
- Research Article
- Integration of temperature sensors in polyimide-based thin-film electrode arrays
- Research Article
- Use cases and usability challenges for head-mounted displays in healthcare
- Research Article
- Device- and service profiles for integrated or systems based on open standards
- Research Article
- Risk management for medical devices in research projects
- Research Article
- Simulation of varying femoral attachment sites of medial patellofemoral ligament using a musculoskeletal multi-body model
- Research Article
- Does enhancing consciousness for strategic planning processes support the effectiveness of problem-based learning concepts in biomedical education?
- Research Article
- SPIO processing in macrophages for MPI: The breast cancer MPI-SNLB-concept
- Research Article
- Numerical simulations of airflow in the human pharynx of OSAHS patients