Haptic Simulator for Liver Diagnostics through Palpation

Liver Pathology Simulation: Algorithm for Haptic Rendering and Force Maps for Palpation Assessment

Pre-operatory gestures include tactile sampling of the mechanical properties of biological tissue for both histological and pathological considerations. Tactile properties used in conjunction with visual cues can provide useful feedback to the surgeon. Development of novel cost effective haptic-based simulators and their introduction in the minimally invasive surgery learning cycle can absorb t...

Evaluation and User Study of Haptic Simulator for Learning Palpation in Cardiovascular Surgery

This study presents a haptic simulator for learning palpation of aorta in cardiovascular surgery and performs quantitative evaluation in educational use through some user study. The simulator implements physics-based methods that enable VR simulation of soft organs with autonomous motion like a beating heart or an aorta. The developed model simulates real-time deformation and force feedback dur...

The Design and Evaluation of a Haptic Veterinary Palpation Training Simulator

Multimodal Feedback Cues To Aid Veterinary Training Simulations

This paper describes the concept of multimodal cues to aid training in a medical simulator. These cues aim to provide guidance and performance feedback to the user in the form of haptic, graphic and auditory feedback presented during the simulator training. The paper describes current implementations of the cues and their integration into the Horse Ovary Palpation Simulator (HOPS) developed at ...

Soft Tissue Modeling Using ANFIS for Training Diagnosis of Breast Cancer in Haptic Simulator

Soft tissue modeling for the creation of a haptic simulator for training medical skills has been the focus of many attempts up to now. In soft tissue modeling the most important parameter considered is its being real-time, as well as its accuracy and sensitivity. In this paper, ANFIS approach is used to present a nonlinear model for soft tissue. The required data for training the neuro-fuzzy mo...