Thank you so much for contributing to this project. You will always be assigned to a task that no one has contributed before first, and you could contribute to however many tasks you want. You could exit whenever you would like, and your answers up to that point would be saved automatically.
This annotation tool enables collaborative-crowdsourcing of classification annotations for ECG arrythmia types. We provide an image of a 8-second-long ECG signal (V1 and V5 leads), and ask users the following question: which arrythmia type does the current signal look like most?
For every task, you are given a 8-sec ECG signal as shown below and asked to give an answer of which arrythmia type it is.
clinical ECG expert, researchers on ECG signal processing.
Contributors can track the program by e-mail address.