Abstract
Ventricular fibrillation (VF) must be accurately detected by an automatic implantable cardioconverter-defibrillator and must also be discriminated from ventricular tachycardia (VT) and supraventricular tachycardia (SVT). A sequential decision rule is described to discriminate probability distributions of VF from VT and SVT. Intracardiac signals are first converted to binary sequences by comparison with a threshold. Probability distributions of threshold-crossing intervals are determined. The sequential test calculates a log-likelihood function and compares that with preset detection thresholds. The thresholds are set so as to result in desired test accuracy. Essentially, the sequential algorithm trades off the time to reach decision (number of sequential decision steps) with accuracy. In a study of 170 electrograms from humans, 95.3% of VF signals are classified in 3 s, 97.6% in 5 s, and 100% in 7 s. The sequential algorithm offers ease of implementation for implantable devices and excellent performance.
| Original language | English (US) |
|---|---|
| Title of host publication | Computers in Cardiology |
| Editors | Anon |
| Publisher | Publ by IEEE |
| Pages | 325-328 |
| Number of pages | 4 |
| State | Published - Sep 1988 |
| Event | Computers in Cardiology 1988 - Washington, DC, USA Duration: Sep 25 1988 → Sep 28 1988 |
Other
| Other | Computers in Cardiology 1988 |
|---|---|
| City | Washington, DC, USA |
| Period | 9/25/88 → 9/28/88 |
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ASJC Scopus subject areas
- Software
- Cardiology and Cardiovascular Medicine
Cite this
Detection of ventricular fibrillation by sequential testing. / Zhu, Yi Sheng; Thakor, Nitish V.
Computers in Cardiology. ed. / Anon. Publ by IEEE, 1988. p. 325-328.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Detection of ventricular fibrillation by sequential testing
AU - Zhu, Yi Sheng
AU - Thakor, Nitish V
PY - 1988/9
Y1 - 1988/9
N2 - Ventricular fibrillation (VF) must be accurately detected by an automatic implantable cardioconverter-defibrillator and must also be discriminated from ventricular tachycardia (VT) and supraventricular tachycardia (SVT). A sequential decision rule is described to discriminate probability distributions of VF from VT and SVT. Intracardiac signals are first converted to binary sequences by comparison with a threshold. Probability distributions of threshold-crossing intervals are determined. The sequential test calculates a log-likelihood function and compares that with preset detection thresholds. The thresholds are set so as to result in desired test accuracy. Essentially, the sequential algorithm trades off the time to reach decision (number of sequential decision steps) with accuracy. In a study of 170 electrograms from humans, 95.3% of VF signals are classified in 3 s, 97.6% in 5 s, and 100% in 7 s. The sequential algorithm offers ease of implementation for implantable devices and excellent performance.
AB - Ventricular fibrillation (VF) must be accurately detected by an automatic implantable cardioconverter-defibrillator and must also be discriminated from ventricular tachycardia (VT) and supraventricular tachycardia (SVT). A sequential decision rule is described to discriminate probability distributions of VF from VT and SVT. Intracardiac signals are first converted to binary sequences by comparison with a threshold. Probability distributions of threshold-crossing intervals are determined. The sequential test calculates a log-likelihood function and compares that with preset detection thresholds. The thresholds are set so as to result in desired test accuracy. Essentially, the sequential algorithm trades off the time to reach decision (number of sequential decision steps) with accuracy. In a study of 170 electrograms from humans, 95.3% of VF signals are classified in 3 s, 97.6% in 5 s, and 100% in 7 s. The sequential algorithm offers ease of implementation for implantable devices and excellent performance.
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UR - http://www.scopus.com/inward/citedby.url?scp=0024079949&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0024079949
SP - 325
EP - 328
BT - Computers in Cardiology
A2 - Anon, null
PB - Publ by IEEE
ER -