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Erschienen in: Journal of Clinical Monitoring and Computing 3/2013

01.06.2013 | Original Research

The analysis of transesophageal oxygen saturation photoplethysmography from different signal sources

verfasst von: Ling Mou, Quan Gong, Wei Wei, Bo Gao

Erschienen in: Journal of Clinical Monitoring and Computing | Ausgabe 3/2013

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Abstract

The photoplethysmography (PPG) signals detected by transesophageal oximetry sensor toward aorta arch (AA), descending aorta (DA), and left ventricle (LV) under the guidance of transesophageal echocardiography (TEE) were investigated, and the effects of filter application on PPG signals were evaluated. Eleven cardiac surgical patients were involved. After anesthesia was induced, the TEE probe with a modified pulse oximetry sensor was inserted. Under the guidance of TEE, the AA PPG, DA PPG and LV PPG were detected respectively when ventilator was on and off. The mean alternating current (AC) amplitudes and direct current (DC) values of original and filtered PPG signals were measured. The ratio of AC and DC value (AC/DC) and ventilation-induced AC variations were calculated. Satisfactory PPG waveforms were obtained in all patients under the guidance of TEE. The AC amplitude in LV PPG was significant larger than in AA and DA PPG, and both AC/DC and ventilation-induced AC variation in LV PPG were significantly higher than in AA PPG or DA PPG either. There were no significant differences of AC amplitude between filtered and ventilation off PPG signals. The AC amplitudes and AC/DC toward LV are significantly higher than transesophageal oximeter toward AA or DA, and the effect of mechanical ventilation on transesophageal PPG can be obviously reduced by filtering techniques.
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Metadaten
Titel
The analysis of transesophageal oxygen saturation photoplethysmography from different signal sources
verfasst von
Ling Mou
Quan Gong
Wei Wei
Bo Gao
Publikationsdatum
01.06.2013
Verlag
Springer Netherlands
Erschienen in
Journal of Clinical Monitoring and Computing / Ausgabe 3/2013
Print ISSN: 1387-1307
Elektronische ISSN: 1573-2614
DOI
https://doi.org/10.1007/s10877-013-9450-9

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