Abstract
| Language | English |
|---|---|
| Title of host publication | Unknown Host Publication |
| Place of Publication | HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY |
| Pages | 1168-1172 |
| Number of pages | 5 |
| Publication status | Published - 2008 |
| Event | IV LATIN AMERICAN CONGRESS ON BIOMEDICAL ENGINEERING 2007, BIOENGINEERING SOLUTIONS FOR LATIN AMERICA HEALTH, VOLS 1 AND 2 - Duration: 1 Jan 2008 → … |
Publication series
| Name | IFMBE Proceedings |
|---|
Conference
| Conference | IV LATIN AMERICAN CONGRESS ON BIOMEDICAL ENGINEERING 2007, BIOENGINEERING SOLUTIONS FOR LATIN AMERICA HEALTH, VOLS 1 AND 2 |
|---|---|
| Period | 1/01/08 → … |
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Keywords
- Support vector machine
- cardioversion
- atrial fibrillatory frequency
- instantaneous frequency
- QRS cancellation
- defibrillation
Cite this
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Use of Support Vector Machines in Predicting Success of Intracardiac Cardioversion by Electric Shocks in Patients with Atrial Fibrillation. / Diaz, JD; Diaz, MA; Castro, NC; Glover, B; Manoharan, G; Escalona, OJ.
Unknown Host Publication. HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY, 2008. p. 1168-1172 (IFMBE Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Use of Support Vector Machines in Predicting Success of Intracardiac Cardioversion by Electric Shocks in Patients with Atrial Fibrillation
AU - Diaz, JD
AU - Diaz, MA
AU - Castro, NC
AU - Glover, B
AU - Manoharan, G
AU - Escalona, OJ
N1 - 4th Latin American Congress on Biomedical Engineering 2007 - Bioengineering Solutions for Latin America Health, Margarita Isl, VENEZUELA, SEP 24-28, 2007
PY - 2008
Y1 - 2008
N2 - The objective of this study, was to build support vector machines (SVM) for predicting success of electric shocks in the internal cardioversion (IC) of patients with atrial fibrillation (AF). Some investigations have found correlations between parameters and necessary energy for defibrillating AF, but no tool exist for predicting whether an electric shock will be successful or not in low energy IC. Thirty eight patients with AF, for elective DC cardioversion at the Royal Victoria Hospital in Belfast, were included in our study. Two catheters were positioned in the right atrial appendage (RAA) and the coronary sinus (CS), to deliver a biphasic shock waveform, synchronized with the R wave of the electrocardiogram (ECG) signal. A voltage step-up protocol (50-300 V) was used for patient cardioversion. The ECG was analyzed for an average time interval of 52,8 +/- 10.1 s (corresponding to segments before each shock). Residual atrial fibrillatory signal (RAFS) was estimated by means of bandpass filtering and ventricular activity (QRST) cancellation. QRST complexes were cancelled using a recursive least squared (RLS) adaptive filter. The atria[ fibrillatory frequency (AFF) and the instantaneous frequency (IF) series were extracted from the RAFS. AFF was calculated from whole segments and from the 10 seconds of the RAFS previous shocks. The mean, standard deviation and approximate entropy of the IF time series were computed. RR intervals of the ECG segments were also analyzed. A total of 26 patients were successfully cardioverted, employing 167 shocks (141 non successful). SVMs were built for classifying success on shocks for energy up to 2, 3 and 6 Joules, employing different combinations of the computed parameters. A maximal exactitude of 93.42% (sensitivity=92.31% and specificity=93.65%) was obtained classifying shocks below 2 Joules, 95.51% (sensitivity=92.86% and specificity=96%) for shocks up to 3 Joules, and 92.91% (sensitivity=78.95% and specificity=95.37%) for shocks <= 6 Joules.
AB - The objective of this study, was to build support vector machines (SVM) for predicting success of electric shocks in the internal cardioversion (IC) of patients with atrial fibrillation (AF). Some investigations have found correlations between parameters and necessary energy for defibrillating AF, but no tool exist for predicting whether an electric shock will be successful or not in low energy IC. Thirty eight patients with AF, for elective DC cardioversion at the Royal Victoria Hospital in Belfast, were included in our study. Two catheters were positioned in the right atrial appendage (RAA) and the coronary sinus (CS), to deliver a biphasic shock waveform, synchronized with the R wave of the electrocardiogram (ECG) signal. A voltage step-up protocol (50-300 V) was used for patient cardioversion. The ECG was analyzed for an average time interval of 52,8 +/- 10.1 s (corresponding to segments before each shock). Residual atrial fibrillatory signal (RAFS) was estimated by means of bandpass filtering and ventricular activity (QRST) cancellation. QRST complexes were cancelled using a recursive least squared (RLS) adaptive filter. The atria[ fibrillatory frequency (AFF) and the instantaneous frequency (IF) series were extracted from the RAFS. AFF was calculated from whole segments and from the 10 seconds of the RAFS previous shocks. The mean, standard deviation and approximate entropy of the IF time series were computed. RR intervals of the ECG segments were also analyzed. A total of 26 patients were successfully cardioverted, employing 167 shocks (141 non successful). SVMs were built for classifying success on shocks for energy up to 2, 3 and 6 Joules, employing different combinations of the computed parameters. A maximal exactitude of 93.42% (sensitivity=92.31% and specificity=93.65%) was obtained classifying shocks below 2 Joules, 95.51% (sensitivity=92.86% and specificity=96%) for shocks up to 3 Joules, and 92.91% (sensitivity=78.95% and specificity=95.37%) for shocks <= 6 Joules.
KW - Support vector machine
KW - cardioversion
KW - atrial fibrillatory frequency
KW - instantaneous frequency
KW - QRS cancellation
KW - defibrillation
M3 - Conference contribution
T3 - IFMBE Proceedings
SP - 1168
EP - 1172
BT - Unknown Host Publication
CY - HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
ER -
