A Mechanical Evaluation of a Robot-Assisted Cutting Cornea Based on Force Response.
cornea
keratoplasty
robot-assisted cutting cornea
trephination
trephine force
Journal
Micromachines
ISSN: 2072-666X
Titre abrégé: Micromachines (Basel)
Pays: Switzerland
ID NLM: 101640903
Informations de publication
Date de publication:
19 Aug 2023
19 Aug 2023
Historique:
received:
29
06
2023
revised:
08
08
2023
accepted:
16
08
2023
medline:
26
8
2023
pubmed:
26
8
2023
entrez:
26
8
2023
Statut:
epublish
Résumé
The aim of this paper is to propose laws of trephine operation based on a robot-assisted cutting cornea in order to obtain better microsurgical effects for keratoplasty. Using a trephine robot integrated with a microforce sensor and a handheld trephine manipulator, robotic and manual experiments were performed, with porcine corneas as the test subjects. The effect of trephine operational parameters on the results reflected by the biomechanical response is discussed, and the parameters include linear velocity, rotating angle, and angular velocity. Using probability density functions, the distributions of the manual operational parameters show some randomness, and there is a large fluctuation in the trephine force during the experiments. The biomechanical response shows regular trends in the robotic experiments even under different parameters, and compared to manual trephination, the robot may perform the operation of trephine cornea cutting more stably. Under different operational parameters, the cutting force shows different trends, and the optimal initial parameters that result in better trephine effects can be obtained based on the trends. Based on this derived law, the operational parameters can be set in robotic trephination, and surgeons can also be specially trained to achieve a better microsurgical result.
Identifiants
pubmed: 37630170
pii: mi14081634
doi: 10.3390/mi14081634
pmc: PMC10457903
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : National Natural Science Foundation of China
ID : 52005045
Organisme : National Key R&D Program of China
ID : 2019YFC0119200
Organisme : Natural Science Foundation of Beijing Municipality
ID : L192018
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