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Influence of time of sampling onset on parameters used for activation time determination in computerized intraoperative mapping.

Publication ,  Journal Article
Pieper, CF; Blue, R; Pacifico, A
Published in: Pacing Clin Electrophysiol
December 1991

The purpose of this work is to determine the sensitivity of the estimated time of peaks and maximum slopes, commonly used in activation time computations, to the instant at which sampling is initiated. Based on complex and quickly changing waveforms, 471 monopolar (MP) and bipolar (BP) epicardial responses in man were selected. These were decimated from 10 kHz to simulate sampling at frequencies ranging from 200 Hz to 2,000 Hz. The peak and maximum absolute slope for BP and the minimum slope for MP were computed repeatedly starting at successive 100 microseconds intervals extending throughout the sampling period and compared with these parameters computed from the waveform sampled at 10 kHz. Slopes were estimated using each of four different algorithms. The average greatest shift (AGS) due to variations in sampling onset ranged from 11.2 +/- 3.5 (200 Hz) to 0.3 +/- 0.2 msec (2,000 Hz). For bipolar algorithms, the peak performed better than the slope algorithms (AGS: 5.9 +/- 3.3 to 0.3 +/- 1.0 msec). For MP algorithms, 2 point linear, and 3 and 5 point Lagrange slope estimates performed similarly (AGS: 5.6 +/- 3.3 to 0.3 +/- 0.2 msec); a 5 point least square fit algorithm performed poorly. Sampling MP and BP electrograms below 500 and 400, respectively, often caused maximum shifts greater than 4 msec. Thus, the resolution of the peak and estimated slope is not limited to the sampling period, variations in initiation of sampling can cause significant outliers especially at low sampling rates, and MP electrograms should be sampled faster than BP electrograms for comparable accuracy.

Duke Scholars

Published In

Pacing Clin Electrophysiol

DOI

ISSN

0147-8389

Publication Date

December 1991

Volume

14

Issue

12

Start / End Page

2187 / 2192

Location

United States

Related Subject Headings

  • Wolff-Parkinson-White Syndrome
  • Time Factors
  • Tachycardia
  • Signal Processing, Computer-Assisted
  • Intraoperative Period
  • Humans
  • Heart
  • Electrocardiography
  • Cardiovascular System & Hematology
  • 3202 Clinical sciences
 

Citation

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Pieper, C. F., Blue, R., & Pacifico, A. (1991). Influence of time of sampling onset on parameters used for activation time determination in computerized intraoperative mapping. Pacing Clin Electrophysiol, 14(12), 2187–2192. https://doi.org/10.1111/j.1540-8159.1991.tb06488.x
Pieper, C. F., R. Blue, and A. Pacifico. “Influence of time of sampling onset on parameters used for activation time determination in computerized intraoperative mapping.Pacing Clin Electrophysiol 14, no. 12 (December 1991): 2187–92. https://doi.org/10.1111/j.1540-8159.1991.tb06488.x.
Pieper CF, Blue R, Pacifico A. Influence of time of sampling onset on parameters used for activation time determination in computerized intraoperative mapping. Pacing Clin Electrophysiol. 1991 Dec;14(12):2187–92.
Pieper, C. F., et al. “Influence of time of sampling onset on parameters used for activation time determination in computerized intraoperative mapping.Pacing Clin Electrophysiol, vol. 14, no. 12, Dec. 1991, pp. 2187–92. Pubmed, doi:10.1111/j.1540-8159.1991.tb06488.x.
Pieper CF, Blue R, Pacifico A. Influence of time of sampling onset on parameters used for activation time determination in computerized intraoperative mapping. Pacing Clin Electrophysiol. 1991 Dec;14(12):2187–2192.
Journal cover image

Published In

Pacing Clin Electrophysiol

DOI

ISSN

0147-8389

Publication Date

December 1991

Volume

14

Issue

12

Start / End Page

2187 / 2192

Location

United States

Related Subject Headings

  • Wolff-Parkinson-White Syndrome
  • Time Factors
  • Tachycardia
  • Signal Processing, Computer-Assisted
  • Intraoperative Period
  • Humans
  • Heart
  • Electrocardiography
  • Cardiovascular System & Hematology
  • 3202 Clinical sciences