Real-Time Cardiac Arrhythmia Classification Using TinyML on Ultra-Low-Cost Microcontrollers: A Feasibility Study for Resource-Constrained Environments
- DOI
- 10.3390/bioengineering13050532
- Published
- 2026-05-01
- Container
- Bioengineering
- Publisher
- MDPI AG
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.3390/bioengineering13050532,
title = {Real-Time Cardiac Arrhythmia Classification Using TinyML on Ultra-Low-Cost Microcontrollers: A Feasibility Study for Resource-Constrained Environments},
author = {Misael Zambrano-de la Torre and Sebastian Guzman-Alfaro and Andrea Acuña-Correa and Manuel A. Soto-Murillo and Maximiliano Guzmán-Fernández and Ricardo Robles-Ortiz and Karen E. Villagrana-Bañuelos and Jose G. Arceo-Olague and Carlos H. Espino-Salinas and Ana G. Sánchez-Reyna and Erik O. Cuevas-Rodriguez},
year = {2026},
journal = {Bioengineering},
doi = {10.3390/bioengineering13050532},
url = {https://doi.org/10.3390/bioengineering13050532}
}RIS
TY - JOUR TI - Real-Time Cardiac Arrhythmia Classification Using TinyML on Ultra-Low-Cost Microcontrollers: A Feasibility Study for Resource-Constrained Environments AU - Misael Zambrano-de la Torre AU - Sebastian Guzman-Alfaro AU - Andrea Acuña-Correa AU - Manuel A. Soto-Murillo AU - Maximiliano Guzmán-Fernández AU - Ricardo Robles-Ortiz AU - Karen E. Villagrana-Bañuelos AU - Jose G. Arceo-Olague AU - Carlos H. Espino-Salinas AU - Ana G. Sánchez-Reyna AU - Erik O. Cuevas-Rodriguez PY - 2026 JO - Bioengineering DO - 10.3390/bioengineering13050532 UR - https://doi.org/10.3390/bioengineering13050532 ER -
APA
Torre, M. Z. L., Guzman-Alfaro, S., Acuña-Correa, A., Soto-Murillo, M. A., Guzmán-Fernández, M., Robles-Ortiz, R., Villagrana-Bañuelos, K. E., Arceo-Olague, J. G., Espino-Salinas, C. H., Sánchez-Reyna, A. G., & Cuevas-Rodriguez, E. O. (2026). Real-Time Cardiac Arrhythmia Classification Using TinyML on Ultra-Low-Cost Microcontrollers: A Feasibility Study for Resource-Constrained Environments. Bioengineering. https://doi.org/10.3390/bioengineering13050532
Source records
- crossref · retrieved 2026-09-25T03:13:48.177Z