Generator Polynomial Formulation for Parallel Counters with Applications

Parallel counters have been studied for several decades as a component in high speed multipliers and multi-operand adder circuits. Using a generator polynomial as a formalism for describing parallel counters in the general case, parallel counter properties can be derived and inferred. Furthermore, the structure and decomposition of the generator polynomial can suggest different implementation strategies. These include simple implementations of (7,3) and (15,4) parallel counters. By grouping factors, the design of a fast (7,3) parallel counter is presented. Finally, the generator polynomial is extended to permit factors of different weights. This extension provides a means for describing the design of the (5,5,4) and (4,5,5,5) multicolumn parallel counters

Categorizing Fetal Heart Rate Variability With and Without Visual Aids

Objective This study examined the ability of clinicians to correctly categorize images of fetal heart rate (FHR) variability with and without the use of exemplars. Study Design A sample of 33 labor and delivery clinicians inspected static FHR images and categorized them into one of four categories defined by the National Institute of Child Health and Human Development (NICHD) based on the amount of variability within absent, minimal, moderate, or marked ranges. Participants took part in three conditions: two in which they used exemplars representing FHR variability near the center or near the boundaries of each range, and a third control condition with no exemplars. The data gathered from clinicians were compared with those from a previous study using novices. Results Clinicians correctly categorized more images when the FHR variability fell near the center rather than the boundaries of each range, F (1,32) = 71.69, p \u3c 0.001, partial η2 = 0.69. They also correctly categorized more images when exemplars were available, F (2,64) = 5.44, p = 0.007, partial η2 = 0.15. Compared with the novices, the clinicians were more accurate and quicker in their category judgments, but this difference was limited to the condition without exemplars. Conclusion The results suggest that categorizing FHR variability is more difficult when the examples fall near the boundaries of each NICHD-defined range. Thus, clinicians could benefit from training with visual aids to improve judgments about FHR variability and potentially enhance safety in labor and delivery

The Influence of a Crosshair Visual Aid on Observer Detection of Simulated Fetal Heart Rate Signals

Objective To determine whether a visual aid overlaid on fetal heart rate (FHR) tracings increases detection of critical signals relative to images with no visual aid. Study Design In an experimental study, 21 undergraduate students viewed 240 images of simulated FHR tracings twice, once with the visual aids and once without aids. Performance was examined for images containing three different types of FHR signals (early deceleration, late deceleration, and acceleration) and four different FHR signal-to-noise ratios corresponding to FHR variability types (absent, minimal, moderate, and marked) identified by the National Institute of Child Health and Human Development (2008). Performance was analyzed using repeated-measures analyses of variance. Results The presence of the visual aid significantly improved correct detections of signals overall and decreased false alarms for the marked variability condition. Conclusion The results of the study provide evidence that the presence of a visual aid was useful in helping novices identify FHR signals in simulated maternal-fetal heart rate images. Further, the visual aid was most useful for conditions in which the signal is most difficult to detect (when FHR variability is highest)

A Virtual Operating Room for Context-Relevant Training

A fully immersive virtual environment simulating an operating room is described. The Virtual Operating Room (VOR) is a platform that integrates procedural medical simulators into a coherent, context-relevant training environment. Trainees interact with a surgical team comprised of real and/or virtual team members (e.g., attending surgeon, anesthesiologist, scrub technician, and circulating nurse). All characters are defined by their procedural knowledge and personality. The interface capitalizes on natural interactions and is largely driven by voice recognition and text-to-speech software. A custom designed controller manages the VOR functionality, rendering platform, speech recognition, and text-to-speech generation modules. The VOR allows instructors and researchers to simulate the physical and social context in which surgical procedures are performed. The VOR can be used to train surgical teams and address issues in judgment, decision making, team dynamics, and interpersonal skills. Most importantly, the VOR allows medical teams to train the way they operate without putting patients at risk.</p