The Hamlyn Symposium on Medical Robotics 2022: 26th-29th June 2022
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Sensor Fusion towards a Smart Operating Theatre

Typical approaches for measuring mental workload are based on post-task surveys that heavily depend on the user’s final perception [1].

To address the issue, many computational frameworks are proposed to assess the user’s mental workload (MWL) in real-time through the data from multiple physiological modalities such as electrocardiogram (ECG), galvanic skin response (GSR), electroencephalogram (EEG), Functional near-infrared spectroscopy (fNIRS), and electromyography (EMG). This project aims to discriminate the surgeon’s intraoperative MWL levels accurately only based on the photoplethysmography (PPG), GSR, EMG and eyetracking data.

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