Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3165
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
98%
921
2 minutes
20
This paper proposes a novel virtual-fixtures-based shared control concept for eye surgery systems focusing on cataract procedures, one of the most common ophthalmic surgeries. Current research on haptic force feedback aims to enhance manipulation capabilities by integrating teleoperated medical robots. Our proposed concept utilizes teleoperated medical robots to improve the training of young surgeons by providing haptic feedback during cataract operations based on geometrical virtual fixtures. The core novelty of our concept is the active guidance to the incision point generated directly from the geometrical representation of the virtual fixtures, and, therefore, it is computationally efficient. Furthermore, novel virtual fixtures are introduced for the posterior corneal surface of the eye during the cataract operation. The concept is tested in a human-in-the-loop pilot study, where non-medical engineering students participated. The results indicate that the proposed shared control system is helpful for the test subjects. Therefore, the inclusion of the proposed concept can be beneficial for the training of non-experienced surgeons.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12390351 | PMC |
http://dx.doi.org/10.3390/s25165165 | DOI Listing |