CVJul 23, 2021

Continuous Non-Invasive Eye Tracking In Intensive Care

arXiv:2108.01439v1
Originality Incremental advance
AI Analysis

This addresses the need for better delirium diagnosis in ICU patients, offering a novel tool that is non-invasive and acceptable to staff, though it is incremental as it builds on existing eye-tracking concepts for a specific medical application.

The researchers tackled the problem of diagnosing delirium in ICU patients by developing a non-invasive, calibration-free eye-tracking system using RGB and RGBD cameras, achieving accuracy and precision that exceeded clinical requirements in lab tests and was successfully deployed in a feasibility study with 5 patients.

Delirium, an acute confusional state, is a common occurrence in Intensive Care Units (ICUs). Patients who develop delirium have globally worse outcomes than those who do not and thus the diagnosis of delirium is of importance. Current diagnostic methods have several limitations leading to the suggestion of eye-tracking for its diagnosis through in-attention. To ascertain the requirements for an eye-tracking system in an adult ICU, measurements were carried out at Chelsea & Westminster Hospital NHS Foundation Trust. Clinical criteria guided empirical requirements of invasiveness and calibration methods while accuracy and precision were measured. A non-invasive system was then developed utilising a patient-facing RGB-camera and a scene-facing RGBD-camera. The system's performance was measured in a replicated laboratory environment with healthy volunteers revealing an accuracy and precision that outperforms what is required while simultaneously being non-invasive and calibration-free The system was then deployed as part CONfuSED, a clinical feasibility study where we report aggregated data from 5 patients as well as the acceptability of the system to bedside nursing staff. The system is the first eye-tracking system to be deployed in an ICU.

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