Engenharia Biomédica

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https://repositorioacademico.universidadebrasil.edu.br/handle/123456789/33

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Navegando Engenharia Biomédica por Autor "Marciano, Fernanda Roberta"

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    Utilização do aplicativo ECG do Apple Watch para medida do intervalo RR do eletrocardiograma
    (Universidade Brasil, 2021) Barreto, Patric Roberto Ferreira; Marciano, Fernanda Roberta
    Routine laboratory tests depend on the quantitative analysis of various biomarkers and biochemical parameters in biological samples, in view of this there is a growing search for biosensors and systems in the form of wearable technologies for use in the healthcare field, given the scarcity of resources and the widespread use of 12-lead electrocardiogram (ECG) substitutes, some studies show a good agreement between the measurement of ECG measured on a smart watch and a 12-lead ECG, therefore the use of these technologies is promising as health assessment and monitoring devices. The work had the general objective analyzing the correlation of the RR intervals of the ECG obtained by the conventional method and by the Apple Watch's ECG, measuring the RR intervals identified between two QRS complexes selected in the ECG records, identifying the presence of P waves followed by QRS complex and finally classifying cardiac rhythms. It was a randomized, cross-sectional study with a quantitative approach, 20 individuals were selected and invited to participate in this research, who were approached after a medical consultation with the cardiologist and to enter the evaluation process they had to have the following inclusion criteria, these being: healthy, male, aged 20 to 40 years old, no diagnosis of asthma, interstitial lung disease and cardiovascular or cardiomyopathic impairment, they cannot be using any type of drugs, all were distributed in only 1 simple random sampling group, Group 1, which study participants were submitted to the 12-lead ECG exam and immediately after 30 seconds (s) to the use of the Apple Watch Series 4, to perform the ECG performed by the brand's own app, the two exams were performed with the participants lying in the supine position. After applying Pearson's correlation coefficient, a positive and strong correlation was found, it was also possible to verify the presence of P waves followed by the QRS complex indicating a conclusion of sinus rhythm. Therefore, it was possible to verify the correlation between the R-R intervals and the identification of sinus rhythm by the Apple Watch.