Electroencephalogram and eye-gaze datasets for robot-assisted surgery performance evaluation

Description

Surgical training and patient safety depend on objective and accurate performance evaluation. Robot-assisted surgery (RAS) is newer and its training less well defined, but resources are not easily accessed to support data collection from participants with various RAS skill levels. This work describes and makes available for public use electroencephalogram (EEG) and eye-gaze data collected from 25 participants performing RAS simulator tasks with varying levels of RAS experience.Twenty-seven tasks from six modules of the da Vinci®;Skills Simulator ™, which are standard elements of most RAS surgical skills training curricula, were taken into consideration. The dataset contains performance scores (scale: 0 to 100) generated by the simulator after each exercise was completed. Each task was completed by the participants at least twice, and if they weren't able to complete it with a score of 70 (out of 100) on at least one try, they tried again until they did. The National Institute of Biomedical Imaging and Bioengineering (NIBIB) and Roswell Park Comprehensive Cancer Center (RPCCC) supported the collection of data for use in RAS training, which is why the dataset has been named the NIBIB-RPCCC-RAS performance evaluation dataset. The dataset contains 1636 EEG recordings (in the ".edf" format), 1559 eye-gaze recordings (in the ".csv" format), performance scores, and participant demographic data, such as age, gender, and dominant hand. To our knowledge, this is the first shared dataset that contains EEG and eye-gaze data from participants with a variety of RAS experiences who performed all tasks included in the da Vinci simulator modules.

Update Frequency

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License

Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License

Documentation

https://doi.org/10.13026/qj5m-n649

Managed By

PhysioNet

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Contact

https://physionet.org/about/#contact_us

How to Cite

Electroencephalogram and eye-gaze datasets for robot-assisted surgery performance evaluation was accessed on DATE from https://registry.opendata.aws/eeg-eye-gaze-data.