University College London
Browse
all_attempts.zip (1002.76 kB)

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

Download (1002.76 kB)

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.

Funding

Wellcome/EPSRC Centre for Interventional and Surgical Sciences [203145Z/16/Z] and [NS/A000050/1]

EPSRC Centre for Doctoral Training in Intelligent, Integrated Imaging In Healthcare (i4health)

Engineering and Physical Sciences Research Council

Find out more...

RAE Chair in Emerging Technologies [CiET1819/2/36]

EPSRC Early Career Research Fellowship [EP/P012841/1]

DTP 2018-19 University College London

Engineering and Physical Sciences Research Council

Find out more...

DTP 2020-2021 University College London

Engineering and Physical Sciences Research Council

Find out more...

History

Usage metrics

    Engineering Science Faculty Office

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC