Encountered-Type Haptic Displays (ETHDs) provide haptic feedback by positioning a tangible surface for the user to encounter. This permits users to freely eliciting haptic feedback with a surface during a virtual simulation. ETHDs differ from most of current haptic devices which rely on an actuator always in contact with the user. This article intends to describe and analyze the different research efforts carried out in this field. In addition, this article analyzes ETHD literature concerning definitions, history, hardware, haptic perception processes involved, interactions and applications. The paper proposes a formal definition of ETHDs, a taxonomy for classifying hardware types, and an analysis of haptic feedback used in literature. Taken together the overview of this survey intends to encourage future work in the ETHD field.
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http://dx.doi.org/10.1109/TOH.2021.3061150 | DOI Listing |
Int J Obstet Anesth
December 2024
Department of Biomedical Engineering and the School of Brain Sciences and Cognition, Ben Gurion University of the Negev, Beer Sheva, Israel.
Background: Correct identification of the epidural space requires extensive training for technical proficiency. This study explores a novel bimanual haptic simulator designed for the precise insertion of an epidural needle based on loss-of-resistance (LOR) detection, providing realistic dual-hand force feedback.
Methods: The simulator, equipped with two haptic devices connected to a Tuohy needle and an LOR syringe, was designed to simulate the tissues' resistive forces felt by the user during the procedure, offer anatomical variability and record detailed performance metrics for personalized feedback.
J Neurosurg Spine
January 2025
1Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona; and.
Objective: Mixed-reality (MR) applications provide opportunities for technical rehearsal, education, and estimation of surgical performance without the risk of patient harm. In this study, the authors provide a structured literature review on the current state of MR applications and their effects on neurosurgery training. They also introduce an MR prototype for neurosurgical spine training.
View Article and Find Full Text PDFJ Robot Surg
January 2025
BG Trauma Center Ludwigshafen, Department for Plastic, Hand and Reconstructive Surgery, Department of Plastic Surgery for the Heidelberg University, Ludwig-Guttmann-Straße 13, 67071, Ludwigshafen, Germany.
Robot-assisted surgery represents a significant innovation in reconstructive microsurgery, providing enhanced precision and reduced surgeon fatigue. This study examines the integration of robotic assistance in a series of 85 consecutive robot-assisted microsurgical (RAMS) operations. It aims to evaluate changes in the integration of RAMS during the implementation phase in a single institution.
View Article and Find Full Text PDFFront Robot AI
December 2024
Department of Cognitive Robotics, Delft University of Technology, Delft, Netherlands.
Surg Endosc
December 2024
Department of Mechanical Engineering and Applied Mechanics, University of Pennsylvania, Philadelphia, USA.
Background: New surgeons experience heavy workload during robot-assisted surgery partially because they must use vision to compensate for the lack of haptic feedback. We hypothesize that providing realistic haptic feedback during dry-lab simulation training may accelerate learning and reduce workload during subsequent surgery on patients.
Methods: We conducted a single-blinded study with 12 general surgery residents (third and seventh post-graduate year, PGY) randomized into haptic and control groups.
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