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H A Schwid

Publications and source records attributed to H A Schwid.

21 records · Page 2Linked to original sources

Multiple reservoir model of neurotransmitter release by a cochlear inner hair cell.

A probabilistic model is described for transmitter release from hair cells, auditory neuron EPSP's, and discharge patterns. The present model assumes that several reservoirs of neurotransmitter exist, having individual probability-of-release functions centered at successively higher intensities. The model accurately mimics the adaptation of successive EPSP amplitudes of the afferent neuron of the goldfish sacculus and, for mammalian auditory-nerve fibers, the adaptation of neural discharge rate, the saturation of onset and steady-state neural rate versus intensity, and the change in neural rate in response to incremental stimuli. The model also produces realistic interval and period histograms. The data shown support the hypothesis that multiple populations of neurotransmitter are involved in the afferent hair-cell synapses.

Action Potentials↗

The Anesthesia Simulator Consultant: simulation plus expert system.

The Anesthesia Simulator Consultant was designed to provide anesthesiologists the opportunity to practice the management of anesthesia-critical incidents. The program simulates the operating room environment in a graphic display on the screen of a personal computer. Physiologic models predict the patient responses and an automated record-keeping system produces a detailed summary of the case. An expert system provides interpretations of patient information, differential diagnosis, and treatment for abnormal patient conditions. The coupling of the simulator, recorder, and expert system creates a unique self-study and evaluation environment.

Anesthesiology↗

Semiautomatic algorithm to remove resonance artifacts from the direct radial artery pressure.

Resonance artifacts introduced by the catheter-manometer system are removed from the direct radial artery pressure using a three-step algorithm. First, the fast-flush method is used to identify the natural frequency and damping coefficient of the monitoring system by digitizing and analyzing the pressure transient created by the flush. Second, resistor, capacitor, and inductor values are found for an RLC second-order model of the catheter-manometer system in use. Third, the algorithm predicts the undistorted radial artery pressure, removing the resonance artifacts by inverse-filtering the digitized monitored pressure waveform using the RLC circuit derived previously. The algorithm was implemented using a personal computer, but it could also be used without the computer by incorporating an analog-to-digital convertor and a microprocessor in the hemodynamic monitor.

Algorithms↗