The Quality of Automatic Artifact Identification in Ambulatory Impedance Cardiography Monitoring
نویسندگان
چکیده
In Ambulatory Impedance Cardiography (AICG), a large number of motion artifacts might occur in recordings collected during exercises. The adequate identification of the artifacts is the most important task for automatic analysis of the AICG signals. The aim of this study was to manually assess the efficiency of the classification algorithm described in our earlier papers. We intended to identify which point detected on ECG and impedance cardiography (ICG) curves is more likely to provide false indications. It was found that in most cases the artifacts were created by false recognition of the point of closing of the aortic valve (97%, range 91100%). Modifications of the appropriate part of the algorithm were suggested.
منابع مشابه
Adaptive Filtering and Characteristics Extraction for Impedance Cardiography
Impedance Cardiography (ICG) is a noninvasive technique for monitoring stroke volume, cardiac output and other hemodynamic parameters, which is based on sensing the change of thoracic electrical impedance caused by blood volume change in aorta during the cardiac cycle. Motion artifact and respiratory artifact can lead to baseline drift in ICG signal, particularly during or after exercise, which...
متن کاملErratum to: Efficient reference-free adaptive artifact cancellers for impedance cardiography based remote health care monitoring systems
[This corrects the article DOI: 10.1186/s40064-016-2461-5.].
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