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Updated: Feb 17, 2026

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
06:07

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice

Published on: May 23, 2021

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コンボリューションニューラルネットワークを用いた電気ミオグラフィの信号による心臓リズムと不律の検出の評価

M A Sazhina1, S A Lobov2, A S Pimashkin3

  • 1Research Engineer, Engineering Center; National Research Lobachevsky State University of Nizhny Novgorod, 23 Prospekt Gagarina, Nizhny Novgorod, 603022, Russia.

Sovremennye tekhnologii v meditsine
|February 16, 2026
PubMed
まとめ

新しいアルゴリズムは,心拍を評価するために電動筋グラフィ (EMG) 信号を使用し,非侵襲的な心臓モニタリングを可能にします. この技術は,ウェアラブルEMGシステムを使用して不律をスクリーニングするための費用対効果の高い方法を提供します.

キーワード:
オートエンコーダーのオートエンコーダコンボリューションニューラルネットワークエレクトロカーディオグラフィーです.電気ミオグラフィー 電気ミオグラフィー心拍の変動性,心拍の変動性について

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