Machine learning and evolutionary computation for increased reliability of wearable devices for monitoring cardiac arrhythmias in the wild
- DOI
- 10.1016/j.cmpb.2026.109688
- Published
- 2027-01
- Container
- Computer Methods and Programs in Biomedicine
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.cmpb.2026.109688,
title = {Machine learning and evolutionary computation for increased reliability of wearable devices for monitoring cardiac arrhythmias in the wild},
author = {Carmen Guzmán-García and Chiara Martini and Nicola Gaibazzi and Marco Quadrelli and Aldo Morra and Cosimo Costantino and Andrea Igoren Guaricci and Lerina Aversano and Riccardo Pecori and Monica Mordonini and Stefano Cagnoni},
year = {2027},
journal = {Computer Methods and Programs in Biomedicine},
doi = {10.1016/j.cmpb.2026.109688},
url = {https://doi.org/10.1016/j.cmpb.2026.109688}
}RIS
TY - JOUR TI - Machine learning and evolutionary computation for increased reliability of wearable devices for monitoring cardiac arrhythmias in the wild AU - Carmen Guzmán-García AU - Chiara Martini AU - Nicola Gaibazzi AU - Marco Quadrelli AU - Aldo Morra AU - Cosimo Costantino AU - Andrea Igoren Guaricci AU - Lerina Aversano AU - Riccardo Pecori AU - Monica Mordonini AU - Stefano Cagnoni PY - 2027 JO - Computer Methods and Programs in Biomedicine DO - 10.1016/j.cmpb.2026.109688 UR - https://doi.org/10.1016/j.cmpb.2026.109688 ER -
APA
Guzmán-García, C., Martini, C., Gaibazzi, N., Quadrelli, M., Morra, A., Costantino, C., Guaricci, A. I., Aversano, L., Pecori, R., Mordonini, M., & Cagnoni, S. (2027). Machine learning and evolutionary computation for increased reliability of wearable devices for monitoring cardiac arrhythmias in the wild. Computer Methods and Programs in Biomedicine. https://doi.org/10.1016/j.cmpb.2026.109688
Source records
- crossref · retrieved 2026-11-10T01:50:49.912Z