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  • Cardiovascular Digital Health Journal: 2022, vol: 3, issue: 4
  • 1)- David D McManus. Letter from the Editor. Cardiovascular digital health journal. 2022, 3 (4): 157
    Cited : 0
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  • 2)- Trent Johnson, Nino Isakazde, Lena Mathews, Yumin Gao, Zane MacFarlane, Erin M Spaulding, Seth S Martin, Francoise A Marvel. Building a hybrid virtual cardiac rehabilitation program to promote health equity: Lessons learned. Cardiovascular digital health journal. 2022, 3 (4): 158-160
    Cited : 6
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  • 3)- Nathaniel Diamant, Paolo Di Achille, Lu-Chen Weng, Emily S Lau, Shaan Khurshid, Samuel Friedman, Christopher Reeder, Pulkit Singh, Xin Wang, Gopal Sarma, Mercedeh Ghadessi, Johanna Mielke, Eren Elci, Ivan Kryukov, Hanna M Eilken, Andrea Derix, Patrick T Ellinor, Christopher D Anderson, Anthony A Philippakis, Puneet Batra, Steven A Lubitz, Jennifer E Ho. Deep learning on resting electrocardiogram to identify impaired heart rate recovery. Cardiovascular digital health journal. 2022, 3 (4): 161-170
    Cited : 3
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  • 4)- SinĂ©ad T J McDonagh, Shelley Rhodes, Fiona C Warren, Sam Keenan, Claire Pentecost, Philip Keeling, Martin James, Rod S Taylor, Christopher E Clark. Performance of the imPulse device for the detection of atrial fibrillation in hospital settings. Cardiovascular digital health journal. 2022, 3 (4): 171-178
    Cited : 0
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  • 5)- Masato Shimizu, Makoto Suzuki, Hiroyuki Fujii, Shigeki Kimura, Mitsuhiro Nishizaki, Tetsuo Sasano. Machine learning of microvolt-level 12-lead electrocardiogram can help distinguish takotsubo syndrome and acute anterior myocardial infarction. Cardiovascular digital health journal. 2022, 3 (4): 179-188
    Cited : 4
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  • 6)- Indiresha Iyer, Amogh Iyer, Pooja Kanthawar, Umesh N Khot. Assessment of freely available online videos of cardiac electrophysiological procedures from a shared decision-making perspective. Cardiovascular digital health journal. 2022, 3 (4): 189-196
    Cited : 1
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