Cloud-Based Artificial Intelligence System for Large-Scale Arrhythmia Screening

Chi Ho Tseng; Chen Lin; Hsiang Chih Chang; Cyuan Cin Liu; Bess Ma F. Serafico; Li Ching Wu; Chih Ting Lin; Tien Hsu; Chun Yao Huang; Men Tzung Lo

doi:10.1109/MC.2019.2933195

Cloud-Based Artificial Intelligence System for Large-Scale Arrhythmia Screening

Chi Ho Tseng, Chen Lin, Hsiang Chih Chang, Cyuan Cin Liu, Bess Ma F. Serafico, Li Ching Wu, Chih Ting Lin, Tien Hsu, Chun Yao Huang, Men Tzung Lo

研究成果: 專家出版物貢獻類型 › 文章

8 引文斯高帕斯（Scopus）

摘要

Atrial fibrillation (AFib) is the most common arrhythmia, and patients with AFib have a five times higher risk for stroke. To develop an efficient and sustainable strategy for detecting undiagnosed AFib, we propose a cloud-based artificial intelligence system for arrhythmia screening, especially for AFib.

原文	???core.languages.en_GB???
頁面	40-51
頁數	12
卷	52
無	11
專業出版物	Computer
DOIs	https://doi.org/10.1109/MC.2019.2933195
出版狀態	已出版 - 11月 2019

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10.1109/MC.2019.2933195

應用多重生理訊號實現兒童睡眠障礙之自動監測系統(1/2)
Lin, C. (PI)
1/08/19 → 31/07/20
研究計畫: Research
應用即時高密度標測解析心房基質特性以自動偵測複雜型心房顫動源(1/3)
Lo, M.-T. (PI)
1/08/19 → 31/07/20
研究計畫: Research
改善持續性和長期持續性房顫導管電燒結果的新策略：以高效異構計算方法搜索轉子和脈波擴散源(2/2)
Lo, M.-T. (PI)
1/08/18 → 31/07/19
研究計畫: Research

引用此

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title = "Cloud-Based Artificial Intelligence System for Large-Scale Arrhythmia Screening",

abstract = "Atrial fibrillation (AFib) is the most common arrhythmia, and patients with AFib have a five times higher risk for stroke. To develop an efficient and sustainable strategy for detecting undiagnosed AFib, we propose a cloud-based artificial intelligence system for arrhythmia screening, especially for AFib.",

author = "Tseng, {Chi Ho} and Chen Lin and Chang, {Hsiang Chih} and Liu, {Cyuan Cin} and Serafico, {Bess Ma F.} and Wu, {Li Ching} and Lin, {Chih Ting} and Tien Hsu and Huang, {Chun Yao} and Lo, {Men Tzung}",

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T1 - Cloud-Based Artificial Intelligence System for Large-Scale Arrhythmia Screening

AU - Tseng, Chi Ho

AU - Lin, Chen

AU - Chang, Hsiang Chih

AU - Liu, Cyuan Cin

AU - Serafico, Bess Ma F.

AU - Wu, Li Ching

AU - Lin, Chih Ting

AU - Hsu, Tien

AU - Huang, Chun Yao

AU - Lo, Men Tzung

PY - 2019/11

Y1 - 2019/11

N2 - Atrial fibrillation (AFib) is the most common arrhythmia, and patients with AFib have a five times higher risk for stroke. To develop an efficient and sustainable strategy for detecting undiagnosed AFib, we propose a cloud-based artificial intelligence system for arrhythmia screening, especially for AFib.

AB - Atrial fibrillation (AFib) is the most common arrhythmia, and patients with AFib have a five times higher risk for stroke. To develop an efficient and sustainable strategy for detecting undiagnosed AFib, we propose a cloud-based artificial intelligence system for arrhythmia screening, especially for AFib.

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U2 - 10.1109/MC.2019.2933195

DO - 10.1109/MC.2019.2933195

M3 - 文章

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SN - 0018-9162

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SP - 40

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JO - Computer

JF - Computer

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Cloud-Based Artificial Intelligence System for Large-Scale Arrhythmia Screening

摘要

存取文件

指紋

專案

應用多重生理訊號實現兒童睡眠障礙之自動監測系統(1/2)

應用即時高密度標測解析心房基質特性以自動偵測複雜型心房顫動源(1/3)

改善持續性和長期持續性房顫導管電燒結果的新策略：以高效異構計算方法搜索轉子和脈波擴散源(2/2)

引用此