Assessing ECG Interpretation Expertise in Medical Practitioners Through Eye Movement Data and Neuromorphic Models

Assessing ECG Interpretation Expertise in Medical Practitioners Through Eye Movement Data and Neuromorphic Models

This study introduces an innovative method for assessing ECG interpretation abilities in medical professionals via eye-tracking data. We examine eye movement patterns from five separate groups of cardiology practitioners utilizing a combination of neuromorphic computing models, including Spiking Neu...

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Bibliographic Details
Main Authors: Syed Mohsin Bokhari, Muhammad Shafi, Fazal Noor, Sarmad Sohaib, Saad Alqahtany, Mark Donnelly
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Spiking neural networks (SNN)
spiking convolutional neural networks (SCNN)
recurrent spiking neural networks (RSNN)
spiking convolutional long short-term memory (SCLSTM)
random forest
ECG
Online Access:https://ieeexplore.ieee.org/document/10836701/
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