Fetal QRS Detection by means of Kalman Filtering and using the Event Synchronous Canceller
نویسندگان
چکیده
The fetal ECG (fECG) provides a mean to monitor non-invasively the fetal heart activity. Until today, its low signal to noise ratio hampered an extended use of the fECG in clinical practice. As proposed processing methods have shown a lack of accuracy in certain circumstances, the characterization and further development of methods to process the fECG is of high interest. This contribution aims at a comparative evaluation of two methods, namely a Kalman Filter based approach and a classical template subtraction approach, regarding their ability to be used in the context of fetal QRS detection. Although both methods prove to be applicable to detect fetal QRS complexes, the Kalman based approach has shown to perform more accurately using simulated and real datasets.
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The event synchronous canceller algorithm removes maternal ECG from abdominal signals without affecting the fetal ECG
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