Robotic simulators for tissue examination training with multimodal sensory feedback
File(s)Liang_RBME (Accepted Version).pdf (5.18 MB)
Accepted version
Author(s)
Type
Journal Article
Abstract
Tissue examination by hand remains an essential technique in clinical practice. The effective application depends on skills in sensorimotor coordination, mainly involving haptic, visual, and auditory feedback. The skills clinicians have to learn can be as subtle as regulating finger pressure with breathing, choosing palpation action, monitoring involuntary facial and vocal expressions in response to palpation, and using pain expressions both as a source of information and as a constraint on physical examination. Patient simulators can provide a safe learning platform to novice physicians before trying real patients. This paper reviews state-of-the-art medical simulators for the training for the first time with a consideration of providing multimodal feedback to learn as many manual examination techniques as possible. The study summarizes current advances in tissue examination training devices simulating different medical conditions and providing different types of feedback modalities. Opportunities with the development of pain expression, tissue modeling, actuation, and sensing are also analyzed to support the future design of effective tissue examination simulators.
Date Issued
2023-01-01
Date Acceptance
2022-03-30
Citation
IEEE Reviews in Biomedical Engineering, 2023, 16, pp.514-529
ISSN
1941-1189
Publisher
Institute of Electrical and Electronics Engineers
Start Page
514
End Page
529
Journal / Book Title
IEEE Reviews in Biomedical Engineering
Volume
16
Publication Status
Published online
Date Publish Online
2022-04-19