Filtering techniques for the removal of ventilator artefact in oesophageal pulse oximetry

Shafqat, K., Jones, D. P., Langford, R. M. & Kyriacou, P. A. (2006). Filtering techniques for the removal of ventilator artefact in oesophageal pulse oximetry. Medical & Biological Engineering & Computing, 44(8), pp. 729-737. doi: 10.1007/s11517-006-0089-2

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Abstract

The oesophagus has been shown to be a reliable site for monitoring blood oxygen saturation (SpO2). However, the photoplethysmographic (PPG) signals from the lower oesophagus are frequently contaminated by a ventilator artefact making the estimation of SpO2 impossible. A 776th order finite impulse response (FIR) filter and a 695th order interpolated finite impulse response (IFIR) filter were implemented to suppress the artefact. Both filters attenuated the ventilator artefact satisfactorily without distorting the morphology of the PPG when processing recorded data from ten cardiopulmonary bypass patients. The IFIR filter was the better since it conformed more closely to the desired filter specifications and allowed real-time processing. The average improvements in signal-to-noise ratio (SNR) achieved by the FIR and IFIR filters for the fundamental component of the red PPG signals with respect to the fundamental component of the artefact were 57.96 and 60.60 dB, respectively. The corresponding average improvements achieved by the FIR and IFIR filters for the infrared PPG signals were 54.83 and 60.96 dB, respectively. Both filters were also compared with their equivalent tenth order Butterworth filters. The average SNR improvements for the FIR and IFIR filters were significantly higher than those for the Butterworth filters.

Item Type: Article
Additional Information: The final publication is available at Springer via http://dx.doi.org/10.1007/s11517-006-0089-2
Uncontrolled Keywords: Pulse oximetry; Photoplethysmography; Oesophagus; Artefact; Filtering
Subjects: Q Science > QC Physics
R Medicine
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: School of Engineering & Mathematical Sciences > Engineering
URI: http://openaccess.city.ac.uk/id/eprint/14686

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