Abstract: Implementations described and claimed herein provide systems and methods for palpation training. In one implementation, a system for medical procedure simulation includes an examination model, a sensor network, and a computing device. The examination model has a plurality of anatomical structure models, and the sensor network has a plurality of sensors. Each of the sensors is associated with one of the plurality of anatomical structure models and configured to capture examination data. The computing device is in communication with the sensor network and configured to generate feedback for an accuracy of a medical examination using the examination data.

Abstract: Implementations described and claimed herein provide systems and methods for palpation training. In one implementation, a system for medical procedure simulation includes an examination model, a sensor network, and a computing device. The examination model has a plurality of anatomical structure models, and the sensor network has a plurality of sensors. Each of the sensors is associated with one of the plurality of anatomical structure models and configured to capture examination data. The computing device is in communication with the sensor network and configured to generate feedback for an accuracy of a medical examination using the examination data.

Abstract: A logic-cell model accounts for nonlinear effects in determining propagation delay, thereby providing improved accuracy as compared to existing models, particularly when rise/fall times exceed several nanoseconds. Given a logic cell of the type wherein delay is a function of rise/fall time (TRL) and load capacitance (CL), the method involves choosing a plurality of discrete simulation points associated with the delay, each point also being a function of TRF and CL, after which the delay is determined in accordance with the chosen simulation points. One or more of the simulation points are preferably chosen in conjunction with both the linear and nonlinear regions of the TRL/CL space to ensure accuracy for a wide range of TRL and/or CL values. In the event of an identifiable or discontinuous transition between the linear and nonlinear regions, a discrete simulation point is also chosen with respect to the transition area.