DocumentCode :
429398
Title :
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
Link To Document :
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