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Wearable 12-Lead ECG Acquisition Using a Novel Deep Learning Approach from Frank or EASI Leads with Clinical Validation.

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Title: Wearable 12-Lead ECG Acquisition Using a Novel Deep Learning Approach from Frank or EASI Leads with Clinical Validation.
Authors: Fu, Fan1 (AUTHOR), Zhong, Dacheng1 (AUTHOR), Liu, Jiamin1 (AUTHOR), Xu, Tianxiang1 (AUTHOR), Shen, Qin2 (AUTHOR) echo_yaya77@163.com, Wang, Wei3 (AUTHOR), Zhu, Songsheng1 (AUTHOR) zhu@njmu.edu.cn, Li, Jianqing4,5 (AUTHOR) zhu@njmu.edu.cn
Source: Bioengineering (Basel). Mar2024, Vol. 11 Issue 3, p293. 20p.
Database: Academic Search Ultimate
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  Data: Wearable 12-Lead ECG Acquisition Using a Novel Deep Learning Approach from Frank or EASI Leads with Clinical Validation.
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  Data: <searchLink fieldCode="JN" term="%22Bioengineering+%28Basel%29%22">Bioengineering (Basel)</searchLink>. Mar2024, Vol. 11 Issue 3, p293. 20p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=176273507
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        Value: 10.3390/bioengineering11030293
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        Text: English
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      – TitleFull: Wearable 12-Lead ECG Acquisition Using a Novel Deep Learning Approach from Frank or EASI Leads with Clinical Validation.
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              Text: Mar2024
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