User Evaluation Survey on a Deep Learning-Based ECG Image Classification System

Survey Introduction (Informed Consent) 

Welcome to this survey! I am Zetao Li (zetao.li@kcl.ac.uk), a student at King's College London (KCL), conducting this project under the supervision of Prof. Wei Liu. This survey aims to evaluate the clinical screening potential and medical educational value of an ECG auxiliary analysis software prototype.


Your feedback is crucial for optimizing our software's interactive design. This survey is completely anonymous, does not collect any personal privacy information, and will take approximately 3-5 minutes to complete. Participation in this study is entirely voluntary. Before officially submitting the survey, you have the right to withdraw at any time simply by closing your browser window, and none of your information will be recorded. Please note that because the data is submitted anonymously, once you click the "Submit" button, we will be unable to identify and withdraw your data.


By clicking "Submit", you indicate that you have read this information and voluntarily consent to participate in this study. Thank you for your support!
Part 1: Background & Pain Points
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1. [Single Choice] What is your current professional role?
A. Medical Student
B. Clinical Intern / Placement Student
C. Junior Doctor
D. Other (e.g., Senior Consultant, Non-medical professional)
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2. [Single Choice] How proficient are you currently at reading and analyzing electrocardiograms (ECGs)?
A. Beginner (Only understand basic concepts, require guidance from others)
B. Basic (Can identify common typical waveforms, but not proficient)
C. Proficient (Can independently and quickly interpret routine ECGs)
D. Expert (Can independently handle complex and difficult ECGs)
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3. [Multiple Choice] What are the main difficulties you encounter when learning or routinely interpreting ECGs? (Select all that apply)[Multiple]
A. Waveform features are subtle and difficult to pinpoint visually.
B. Lack of a typical and diverse real-world case library for comparative learning.
C. Unable to get immediate, authoritative feedback and principle explanations when encountering difficult patterns.
D. Disconnect between theoretical knowledge (standard textbook waveforms) and complex real-world clinical patterns.
E. Other: _______________ (Please specify)
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4. [Multiple Choice] What methods do you currently rely on most to improve or assist your ECG interpretation skills? (Select all that apply) (Note: Kept as #5 to match your original numbering)[Multiple]
A. Traditional medical textbooks or academic literature.
B. Guidance from clinical tutors or senior colleagues.
C. Medical apps, online question banks, or instructional videos.
D. Plain text reports generated by existing automated ECG machines in hospitals.
E. Other: _______________ (Please specify)
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