What is it about?
Spinal and epidural nerve block procedure training are the objective of this work because they are blind procedure, where the correct points inside the body are not visible. They are defined by learning the resistance of the bypassed tissues along needle insertion. The transition of tissue must consider: Skin, subcutaneous fat, supraspinous ligament, interspinous ligament, ligamentum flavum, epidural space, dura mater, arachnoid mater and subarachnoid space for anesthesia during childbirth. Loss of Resistance (LOR) characteristic is used to detect the epidural space location (for epidural) and a “pop” sensation can be feeling when perforating the dura mater for (spinal anesthesia). This works aims to help on learning how to correctly identify (by the hand sensation) the internal points where these types of anesthesia should be administered using a virtual environment and haptic.
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Why is it important?
We implement a resistance to needle progression related to tissues behavior considering stiffness, friction and cutting forces, and answer before and after the puncture in each tissue. Each tissue thickness of the virtual body is modeled from the height, weight and age in the simulator, in real time for training purpose using an equation that we created from more than 3000 data of pregnant women of 6 population groups. Several tests were done, some tests aimed to map the force model when applied in a virtual simulation environment with the goal of verifying the possibility of distinguishing different tissues (Pop and LOR sensations), others are related to the users opinion about the system.
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This page is a summary of: Users Consideration on Haptics Interface in Spinal Anesthesia, June 2024, ACM (Association for Computing Machinery),
DOI: 10.1145/3672406.3672411.
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