Unlocking the potential of artificial intelligence in electrocardiogram biometrics: age-related changes, anomaly detection, and data authenticity in mobile health platforms.

Mangold KE, Carter RE, Siontis KC, Noseworthy PA, Lopez-Jimenez F, Asirvatham SJ, Friedman PA, Attia ZI

DOI: 10.1093/ehjdh/ztae024
Published: 2024 May
Container: European heart journal. Digital health
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1093/ehjdh/ztae024,
  title = {Unlocking the potential of artificial intelligence in electrocardiogram biometrics: age-related changes, anomaly detection, and data authenticity in mobile health platforms.},
  author = {Mangold KE and Carter RE and Siontis KC and Noseworthy PA and Lopez-Jimenez F and Asirvatham SJ and Friedman PA and Attia ZI},
  year = {2024},
  journal = {European heart journal. Digital health},
  doi = {10.1093/ehjdh/ztae024},
  url = {https://doi.org/10.1093/ehjdh/ztae024}
}

RIS

TY  - JOUR
TI  - Unlocking the potential of artificial intelligence in electrocardiogram biometrics: age-related changes, anomaly detection, and data authenticity in mobile health platforms.
AU  - Mangold KE
AU  - Carter RE
AU  - Siontis KC
AU  - Noseworthy PA
AU  - Lopez-Jimenez F
AU  - Asirvatham SJ
AU  - Friedman PA
AU  - Attia ZI
PY  - 2024
JO  - European heart journal. Digital health
DO  - 10.1093/ehjdh/ztae024
UR  - https://doi.org/10.1093/ehjdh/ztae024
ER  -

APA

KE, M., RE, C., KC, S., PA, N., F, L., SJ, A., PA, F., & ZI, A. (2024). Unlocking the potential of artificial intelligence in electrocardiogram biometrics: age-related changes, anomaly detection, and data authenticity in mobile health platforms.. European heart journal. Digital health. https://doi.org/10.1093/ehjdh/ztae024

Source records

pubmed · retrieved 2026-09-25T17:07:13.430Z