"EKGNet: A 10.96μW Fully Analog Neural Network for Intra-Patient ..."

Benyamin Allahgholizadeh Haghi et al. (2023)

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DOI: 10.1109/BIOCAS58349.2023.10389164

access: closed

type: Conference or Workshop Paper

metadata version: 2024-02-08

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Benyamin Allahgholizadeh Haghi, Lin Ma, Sahin Lale, Anima Anandkumar, Azita Emami:
EKGNet: A 10.96μW Fully Analog Neural Network for Intra-Patient Arrhythmia Classification. BioCAS 2023: 1-5

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