Torres, Vitor Angelo Maria FerreiraSilva, D. A.C.Torres, Luiz Carlos BambirraBraga, Mateus TauloisCardoso, Mathues B. R.Lino, Vinicius TerraTorres, Frank SillBraga, Antônio de Pádua2022-10-142022-10-142020TORRES, V. A. M. F. et al. Embedded real-time feature extraction for electrode inversion detection in telemedicine electrocardiograms. Biomedical Signal Processing and Control, v. 60, 2020. Disponível em: <https://www.sciencedirect.com/science/article/pii/S1746809420301026>. Acesso em: 29 abr. 2022.1746-8094http://www.repositorio.ufop.br/jspui/handle/123456789/15688Early detection of technical errors in medical examinations, especially in remote locations, is of utmost importance in order to avoid invalid measurements that would require costly and time consuming repeti- tions. This paper proposes a highly efficient method for the identification of an erroneous inversion of the measuring electrodes during a multichannel electrocardiogram. Therefore, a widely applied approach for heart beat detection is modified and approximated feature extraction techniques are employed. In con- trast to existing works, the improved heart beat identification requires no removal of baseline wandering and no amplitude related thresholds. Furthermore, a piecewise linear approximation of the baseline and basic calculations are sufficient for extracting the cardiac axis, which allows the construction of a clas- sifier capable of quickly detecting electrode reversals. Our implementation indicates that the proposed method has minimal hardware costs and is able to operate in real-time on a simple micro-controller.en-USrestritoElectrocardiographyDetection algorithmsArtigo publicado em periodicohttps://www.sciencedirect.com/science/article/pii/S1746809420301026https://doi.org/10.1016/j.bspc.2020.101946