4.8 Editorial Material

Life-threatening ventricular arrhythmia detection challenge in implantable cardioverter-defibrillators

Journal

NATURE MACHINE INTELLIGENCE
Volume 5, Issue 5, Pages 554-555

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s42256-023-00659-9

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The organizers of the TinyML Design Contest describe the top machine-learning-based real-time detection algorithms for ventricular arrhythmia.
The organizers of the TinyML Design Contest describe the top machine-learning-based real-time detection algorithms for ventricular arrhythmia.

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