[Developing an optical calibrator for commercial pulse oximetry].
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Biomedical subjects
Publications and source records attributed to E Konecny.
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One way of determining pulmonary CO2 elimination during anaesthesia is the breath-by-breath method. With this technique, CO2 analysis is carried out using either the mainstream method (MSM), that is, directly in the expired air flow, or in samples of expired air. A disadvantage of MSM is the lack of sensor signal correction for changes in the composition of the gas mixture and barometric pressure. Sidestream systems (SSM) measure respiratory gas flow and gas concentration with adequate accuracy, and also correct the measured values for gas composition and ambient parameters. Disadvantages of breath-by-breath analysis are the SSM-system-related delay and distortion of the CO2 curves. In the present study, a computer-assisted comparative analysis of CO2 elimination measurement by the sidestream and mainstream methods was carried out using different mixtures of gases in a lung model. Under the selected conditions simulated in the lung model, evaluation of CO2 elimination using SSM and MSM is possible with an error of between 0 and 10% versus reference systems. Measuring accuracy of the MSM system in particular is found to depend directly on the composition of the gas mixture. Using the method described here, the measuring error of an SSM system in terms of delay and response time can be compensated with adequate accuracy.
Absorption of irrigating fluid by blood vessels during endoscopic urological surgery may result in cardiac insufficiency, impairment of electrolyte metabolism and neurological disorders. For detection and quantification of the volume absorbed, ethanol is added to the irrigating fluid. The resulting blood alcohol concentration can be obtained by measuring the alcohol concentration in the expired air. For artificially ventilated patients receiving a general anesthetic, electrochemical sensors that remain uneffected by volatile anaesthetics are used. In the present study, the measuring accuracy of three different alcohol analyzers using electrochemical sensors was tested against an infrared reference sensor during simulated ventilation in a lung model, and the optimal trigger time point for sampling determined. All three devices tested show the same degree of accuracy as the reference. For manual endexpiratory triggering devices with short sampling times are best suitable. Portable devices powered by rechargeable batteries and usable with both spontaneously breathing and ventilated patients are recommended for clinical application.
The safe and reliable application of transcutaneous sensors requires their construction and fabrication to be embedded in a system of external regulation and internal rules.
OBJECTIVE: There is no commonly accepted in vivo calibration method for pulse oximeters available up to now. On the basis of a prototype device for the calibration of pulse oximeters which was introduced recently, a second approach based on the same concept was tackled in order to design a reliable method for standardized calibration of pulse oximeters. METHODS: An extensive clinical database of time-resolved optical transmission spectra of patient fingers is used to simulate the behavior of patients. A device which is capable of playing back these spectroscopic data to pulse oximeters, and a database where the oxygen status measured with the reference method (Co-Oximetry) is stored, are the main parts of the concept. The playback device has an artificial finger as interface to the pulse oximeters and serves to collect light from the pulse oximeter for analysis and to playback simulated light to the pulse oximeter. The light intensity emitted by two LEDs which illuminates the pulse oximeter detector is controlled via a computer in such a way that it is the same as if the pulse oximeter light had passed the finger. The pulse oximeter display during the data playback can thus be compared to the true SaO2 of the patient. The device is tested with 4 pulse oximeters based on 100 patient spectra. RESULTS: For the four pulse oximeters used in this investigation, an Agilent Technologies CMS monitor (formerly Hewlett-Packard), an Ivy 2000 with Masimo Set technology and Nellcor N-3000 and N-395, there is good correlation between SPO2 and SaO2, and mean and standard deviation of in vivo SpO2-SaO2 and playback SpO2-SaO2 are in good agreement. For two instruments, Nellcor N3000 and Agilent CMS Monitor, a quantitative comparison between the in vivo and in vitro SpO, results was derived. A mean of the deviation playback vs. in vivo SpO2 is less than 0.5% SpO2. The error limits are comparable with the calibration error of the conventional calibration routine. The device is also capable of data playback even in situations with rapid desaturation changes, as displayed in Figure 2. For the other tested pulse oximeters the results are comparable. CONCLUSIONS: Compared to the first prototype the current version is simpler and less expensive in production. Many of previously existing problems are solved and the applicability to a large variety of pulse oximeters and sensors is given. The novel concept for the calibration of pulse oximeters is a tool for assessing the performance of pulse oximeters.
Considering the fundamental difficulties to define the term 'depth of anaesthesia', a more feasible concept for assessment of 'adequacy of anaesthesia' will be explained. The basic requirements for a monitoring index are definite response, gradual scaling and independence from the anaesthetic technique used. Additionally the index should be predictive for appearance of clinical signs of an inadequate anaesthesia. Different signal-processing methods will be discussed to extract the relevant information from both the spontaneous and the evoked brain electrical activity. In this context well established methods like spectral analysis are investigated in combination with new and more sophisticated methods like bispectral analysis or wavelet decomposition. Since no single-parameter index has been defined for monitoring depth of anaesthesia, a set of EEG parameters may be more useful to take into account intra- and interindividual variability. In parallel to the description of the monitor concept, the investigation of neural nets and fuzzy techniques, in addition to or in substitution of conventional statistical methods, will be introduced. Examples are given for data quality assessment, parameter extraction and re-classification.