Extracting sources from noisy abdominal phonograms: a single-channel blind source separation method.
In this work we highlight a methodology that extracts sources from noisy single-channel abdominal phonograms. First, an appropriate matrix of delays is constructed. Next, multiple independent components are calculated using the FastICA algorithm. Then these components are projected back to the measurement space and classified for recovering the sources of interest. Single-channel phonograms obtained from three different subjects were analysed. Results show successful extraction of foetal heart sounds (FHS), maternal respiration/pulse wave, and line noise. It is important to point out the high performance of the method for extracting the former two as separate sources; especially due to the fact that pulse wave and FHS may overlap as maternal and foetal QRSs do in the abdominal ECG. The most outstanding factor is that this is achieved using a single-channel method. So, this approach extracts physiological sources from noisy abdominal phonograms, and we believe it will be useful for surveillance, not only for foetal well-being but also for maternal condition.
Jiménez-González
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Institute of Sound and Vibration Research, University of Southampton, Highfield, UK. aj11v07@soton.ac.uk
James
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D004560:Electricity; D005260:Female; D005318:Fetal Heart / Q000502:physiology; D005323:Fetal Monitoring / Q000379:methods*; D006801:Humans; D010701:Phonocardiography / Q000379:methods; D011247:Pregnancy; D012135:Respiratory Sounds; D012815:Signal Processing, Computer-Assisted