Automatic detection algorithm of intracranial pressure waveform components

Author

Aboy, Mateo ; McNames, James ; Goldstein, Brahm

Author_Institution

Biomed. Signal Process. Lab., Portland State Univ., OR, USA

Volume

3

fYear

2001

fDate

2001

Firstpage

2231

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 (±1 sample).

Keywords

brain; haemodynamics; low-pass filters; medical signal detection; paediatrics; patient care; patient monitoring; Pediatric Intensive Care Unit; acceptance interval; algorithm accuracy rate; arterial blood pressure; automated detection algorithm; beat components; beat series; children; dichrotic notch; dichrotic peak components; intracranial pressure waveform components; local search; lowpass filter; moving average filter; percussion components; percussion peak; quantization error; tidal peak; traumatic brain injury; visual identification; Brain injuries; Cranial pressure; Detection algorithms; Filters; Iterative closest point algorithm; Laboratories; Pediatrics; Quantization; Signal processing; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE

ISSN

1094-687X

Print_ISBN

0-7803-7211-5

Type

conf

DOI

10.1109/IEMBS.2001.1017216

Filename

1017216