A respiration monitor based on electrocardiographic and photoplethysmographic sensor fusion

Author

Ahlstrom, C. ; Johansson, A. ; Lanne, T. ; Ask, P.

Author_Institution

Dept. of Biomedical Eng., Linkoping Univ., Sweden

Volume

1

fYear

2004

fDate

1-5 Sept. 2004

Firstpage

2311

Lastpage

2314

Abstract

Respiratory variations are present in the pulse wave transit time (PTT) and, as a consequence of respiratory sinus arrhythmia, in the electrocardiogram (ECG) and the photoplethysmogram (PPG). The aim of this study was to investigate these variations in healthy subjects during rest and invoked blood pressure changes. The primary goal was to develop a non-invasive respiration monitor. The error rates for breath detection during rest were 14%, 11% and 10% for PTT, ECG and PPG respectively. Significantly higher error rates were found in hypotension and hypertension. To improve accuracy and robustness, the signals were merged in a neural network resulting in an error rate of 9%.

Keywords

blood pressure measurement; electrocardiography; medical signal processing; neural nets; plethysmography; pneumodynamics; breath detection; electrocardiographic sensor; hypertension; hypotension; invoked blood pressure changes; neural network; photoplethysmographic sensor; pulse wave transit time; respiration monitor; respiratory sinus arrhythmia; Biological neural networks; Biomedical measurements; Biomedical monitoring; Blood pressure; Electrocardiography; Pulse measurements; Robustness; Sensor fusion; Testing; Time measurement; Blood Pressure; Neural network; Photo-plethysmography; Pulse Wave Transit Time; Respiratory Sinus Arrhythmia; Respiratory monitoring;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE

Conference_Location

San Francisco, CA

Print_ISBN

0-7803-8439-3

Type

conf

DOI

10.1109/IEMBS.2004.1403671

Filename

1403671