Stanford researchers develop algorithm to diagnose heart arrhythmias

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Life-threatening heart arrhythmias can be difficult to detect but a new deep learning algorithm can evaluate each second of a heart signal and diagnose 14 types of arrhythmia with performance similar to that of cardiologists.
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Комментарии
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Is there a paper that describes the results and model in more detail?

bandidobrazo
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There's a lot of papers, tutorials and courses on image classification, not so many on dealing with classifying signals.

Actually keen to find more code examples on this problem type.

LatinDanceVideos
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Could you clarify how this differs from existing EKG interpretative algorithms already on the market (in some cases, for decades), such as the GE/Marquette 12SL, Zoll Inovise, Phillips DXL, Glasgow algorithm, Eli Mortara, etc?

Critmedic
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Wow, that algorithm can be the doctor of tomorrow

stevesheet
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was the irhythm api freely available, or did you have to license it?

ethancanin