Study on the use of standard 12-lead ECG data for rhythm-type ECG classification problems.

Park, Junsang; An, Junho; Kim, Jinkook; Jung, Sunghoon; Gil, Yeongjoon; Jang, Yoojin; Lee, Kwanglo; Oh, Il-Young

Park, Junsang; An, Junho; Kim, Jinkook; Jung, Sunghoon; Gil, Yeongjoon; Jang, Yoojin; Lee, Kwanglo; Oh, Il-Young.

Afiliação

Park J; HUINNO Co., Ltd., Seoul, Republic of Korea.
An J; HUINNO Co., Ltd., Seoul, Republic of Korea. Electronic address: junho@huinno.com.
Kim J; HUINNO Co., Ltd., Seoul, Republic of Korea. Electronic address: jinkook@huinno.com.
Jung S; HUINNO Co., Ltd., Seoul, Republic of Korea. Electronic address: shjung@huinno.com.
Gil Y; HUINNO Co., Ltd., Seoul, Republic of Korea. Electronic address: kyzoon@huinno.com.
Jang Y; HUINNO Co., Ltd., Seoul, Republic of Korea. Electronic address: yjluca98@huinno.com.
Lee K; HUINNO Co., Ltd., Seoul, Republic of Korea. Electronic address: kwanglo@huinno.com.
Oh IY; Department of Internal Medicine, Seoul National University, Seoul National University Bundang Hospital, Seongnam, Republic of Korea. Electronic address: spy510@snu.ac.kr.

Comput Methods Programs Biomed ; 214: 106521, 2022 Feb.

Article em En | MEDLINE | ID: mdl-34844765

Assuntos

Algoritmos; Redes Neurais de Computação; Eletrocardiografia; Humanos; República da Coreia

Palavras-chave

12 Single-lead ECG; Convolutional neural network; Deep learning; Heterogeneous single-lead ECG; SE-ResNet; Single-lead ECG classification; Standard 12-lead ECG

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Redes Neurais de Computação Tipo de estudo: Prognostic_studies Limite: Humans País como assunto: Asia Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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