Reconstruction of respiratory patterns from electrocardiographic signals
被引:4
作者:
Nazeran, H
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机构:
Flinders Univ S Australia, Sch Engn, Adelaide, SA 5001, AustraliaFlinders Univ S Australia, Sch Engn, Adelaide, SA 5001, Australia
Nazeran, H
[1
]
Behbehani, K
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机构:
Flinders Univ S Australia, Sch Engn, Adelaide, SA 5001, AustraliaFlinders Univ S Australia, Sch Engn, Adelaide, SA 5001, Australia
Behbehani, K
[1
]
Yen, FC
论文数: 0引用数: 0
h-index: 0
机构:
Flinders Univ S Australia, Sch Engn, Adelaide, SA 5001, AustraliaFlinders Univ S Australia, Sch Engn, Adelaide, SA 5001, Australia
Yen, FC
[1
]
Ray, P
论文数: 0引用数: 0
h-index: 0
机构:
Flinders Univ S Australia, Sch Engn, Adelaide, SA 5001, AustraliaFlinders Univ S Australia, Sch Engn, Adelaide, SA 5001, Australia
Ray, P
[1
]
机构:
[1] Flinders Univ S Australia, Sch Engn, Adelaide, SA 5001, Australia
来源:
PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON BIOELECTROMAGNETISM
|
1998年
关键词:
D O I:
10.1109/ICBEM.1998.666454
中图分类号:
R318 [生物医学工程];
学科分类号:
0831 ;
摘要:
Presently there is lack of a reliable method for monitoring the respiratory cycles in the ambulatory patients. Knowledge of respiratory pattern is useful in many clinical situations. With the ECG signal being the most frequently monitored biomedical signal, it is essential to extract the respiratory waveform from ordinary ECG tracings. Such a technique would permit reliable detection of respiratory efforts in healthy and diseased patients. In this paper we present the result of a pilot study in which the ECG signals from lead II (LL+ : RA-) and a modified chest lead I(V1+ : LA-) were used to derive the respiration waveforms from the mean electrical axis of the heart. The ECG derived respiratory patterns compared favorably with those obtained from airflow measurements.