Biomedical subjects
Publications and source records attributed to B C Taylor.
Retrospective and prospective techniques were used to analyze a consecutive series of 406 eyes to identify factors contributing to cystoid macular edema following lens implantation. Vitreous loss and rupture of the posterior capsule were highly significant in the production and persistence of this complication.
This presentation recounts the original description of CME and the more recent developments associated with intravenous fluorescein angiography in its study and diagnosis. The work of previous authors to show the incidence of CME and its possible prognosis are reviewed. Our findings in a retrospective study agree with the other authors and show that there is no particular increase in CME following intraocular lens implantation regardless of the type of surgical procedure used. It is established that vitreous loss does increase the incidence of CME. A prospective study with routine intravenous fluorescein at six weeks is presented and shows an incidence that is below that found by other authors when it was performed following routine intracapsular cataract extraction.
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A fluorescent antibody was produced against a plasmodial oyster parasite thought to be a haplosporidian, Minchinia nelsoni, which was termed MSX. The antibody reacted with this type of plasmodia from oysters, Crassostrea virginica ( Gmelin), from all sources, and it also reacted with its sporulating and spore stages. This reaction indicates cospecificity of the stages. No reaction occurred with any stage of another oyster haplosporidian, Minchinia costalis, indi- cating that the M. nelsoni and the M. costalis are antigenically distinct species.
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This study evaluates the use of artificial neural networks to estimate stroke volume from pre-processed, thoracic impedance plethysmograph signals from 20 healthy subjects. Standard back-propagation was used to train the networks, with Doppler stroke volume estimates as the desired output. The trained networks were then compared to two classical biophysical approaches. The coefficient of determination (R2 x 100%) between the biophysical approaches and the Doppler was 8.20% and 9.90%, while it was 77.38% between the best neural network and the Doppler. Among these methods, only the neural network residuals had a significant zero mean Gaussian distribution (alpha=0.05). Our results indicate that an invertible relationship may exist between thoracic bioimpedance and stroke volume, and that artificial neural networks may offer a potentially advantageous approach for estimating stroke volume from thoracic electrical impedance, both because of their ease of use and their lack of confounding assumptions.
In summary, use of thermodilution as a method to measure cardiac output has attained universal appeal in the clinical environment. Other means of detecting cardiac output (impedance-cardiogram and ballistocardiogram, to name two) have been developed and are being used clinically, but the development of the flow-directed thermodilution catheter has profoundly affected the universal acceptance of the thermodilution method. Thermodilution techniques, when performed properly, are capable of obtaining accurate and reproducible results. Medical and nursing personnel who are educated in proper procedures will be able to make educated choices when faced with difficult decisions. It is likely that they will turn to the biomedical or clinical engineering department for help if those personnel are well informed regarding the techniques and procedures.
Optimization of fluid-filled catheter/transducer systems for blood pressure measurement requires a prior knowledge of how each component affects overall dynamic response. This paper presents a method to measure resistance, inertance, and compliance of individual components by investigating the causal relationships between added known compliances and resonance. Additionally, a computer simulation that combines individual component values to synthesize practical blood pressure monitoring systems is presented. Complete monitoring systems are modeled through the combination of characterized components such as transducers, monitoring lines, and catheters and used to predict overall system response to any input function.