Force Dataset for A Deep Learning Approach to Classify Surgical Skill in Microsurgery Using Force Data from a Novel Sensorised Surgical Glove

DOI

This dataset is for our accepted paper in the 'Sensors' journal titled 'A Deep Learning Approach to Classify Surgical Skill in Microsurgery Using Force Data from a Novel Sensorised Surgical Glove'.  Official code can be found at https://github.com/wzjialang/Force_data_code.

It includes force data obtained from 13 surgeons while executing a validated preclinical microsurgical task 'Star's the Limit'. The force data was collected by a sensorised surgical glove.

Identifier
DOI https://doi.org/10.5522/04/24476641.v1
Related Identifier HasPart https://ndownloader.figshare.com/files/43007128
Metadata Access https://api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:figshare.com:article/24476641
Provenance
Creator Xu, Jialang ORCID logo; Anastasiou, Dimitrios; Booker, James; Burton, Oliver; Layard Horsfall, Hugo; Salvadores Fernandez, Carmen; Xue, Yang; Stoyanov, Danail ORCID logo; Tiwari, Manish; Marcus, Hani; Mazomenos, Evangelos ORCID logo
Publisher University College London UCL
Contributor Figshare
Publication Year 2023
Rights https://creativecommons.org/licenses/by-nc-sa/4.0/
OpenAccess true
Contact researchdatarepository(at)ucl.ac.uk
Representation
Language English
Resource Type Dataset
Discipline Natural Sciences; Physics