DocumentCode :
2799357
Title :
Methods to extract respiration information from ECG signals
Author :
Ruangsuwana, R. ; Velikic, G. ; Bocko, M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Rochester, Rochester, NY, USA
fYear :
2010
fDate :
14-19 March 2010
Firstpage :
570
Lastpage :
573
Abstract :
The reliability of respiratory signal extraction methods from electrocardiogram (ECG) data is investigated. To provide a reference, a breathing sensor using a piezo-electric cable was designed and constructed. Two previously established methods, QRS amplitude modulation and respiratory sinus arrhythmia (RSA), are adapted to include the PQRST complex of the ECG. In addition, a third method, which we call the ECG mean, is proposed. The results show that interval methods perform better than envelope methods. However, the ECG mean method performs similarly to the interval methods.
Keywords :
electrocardiography; medical signal processing; pneumodynamics; ECG PQRST complex; ECG signals; QRS amplitude modulation; breathing sensor reference; electrocardiogram data; respiration information extraction; respiratory signal extraction methods; respiratory sinus arrhythmia; Amplitude modulation; Biomedical monitoring; Circuits; Condition monitoring; Data mining; Electrocardiography; Electrodes; Heart; Patient monitoring; Sampling methods; ECG; breathing rate; respiration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX
ISSN :
1520-6149
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2010.5495584
Filename :
5495584
Link To Document :
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