Automatic Detection Algorithm of Intracranial Pressure Waveform Components

Abstract

We describe an automated detection algorithm that may be used to identify the percussion peak (P), tidal peak (T), dichrotic notch (N), and dichrotic peak (D) components of the intracranial pressure (ICP) signal. The algorithm uses a moving average filter to remove quantization error, a lowpass filter to identify the beat series, and a local search to identify the components of each beat. The algorithm was compared with two experts' visual identification of the percussion components of 997 beats recorded from three subjects. The algorithm accuracy rate was 99.3% with an acceptance interval of 8 ms (plus or minus 1 sample).

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA410619

Entities

People

  • Brahm Goldstein
  • James Mcnames
  • Mateo Aboy

Organizations

  • Portland State University

Tags

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Amplitude
  • Artifacts
  • Automatic
  • Brain Injuries
  • Cardiovascular Physiological Phenomena
  • Classification
  • Complex Systems
  • Data Acquisition
  • Detection
  • Detectors
  • Errors
  • Filters
  • Health Services
  • Monitoring
  • Signal Processing

Readers

  • Cardiovascular Physiology
  • Neural Network Machine Learning.
  • Phased Array Antenna Design.