@article{He:2023,
author = {He, L and Maiolino, P and Leong, F and Lalitharatne, T and Lusignan, SD and Ghajari, M and Iida, F and Nanayakkara, T},
journal = {IEEE Reviews in Biomedical Engineering},
pages = {514--529},
title = {Robotic simulators for tissue examination training with multimodal sensory feedback},
url = {http://hdl.handle.net/10044/1/96691},
volume = {16},
year = {2023}
}

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TY  - JOUR
AB  - 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.
AU  - He,L
AU  - Maiolino,P
AU  - Leong,F
AU  - Lalitharatne,T
AU  - Lusignan,SD
AU  - Ghajari,M
AU  - Iida,F
AU  - Nanayakkara,T
EP  - 529
PY  - 2023///
SN  - 1941-1189
SP  - 514
TI  - Robotic simulators for tissue examination training with multimodal sensory feedback
T2  - IEEE Reviews in Biomedical Engineering
UR  - http://hdl.handle.net/10044/1/96691
VL  - 16
ER  - 

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