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Título : Heart rate variability analysis during a dehydration protocol on athletes
Autor: Wong De Balzan, Sara
Nombre de Revista: 21st Symposium on Signal Processing Images and Artificial Vision STSIVA 2016
Fecha de publicación : 30-ago-2016
Fecha de fin de embargo: 1-ene-2022
Fuente: 2016 21st Symposium on Signal Processing, Images and Artificial Vision, STSIVA 2016
metadata.dc.identifier.doi: 10.1109/STSIVA.2016.7743355
Editor: INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS INC.
Ciudad: 
Bucaramanga
Tipo: Article
Abstract: 
Athletes usually start the training with normal body water content, and then they dehydrate during exercise. The water deficit may contribute to increased heart rate and therefore impaired heart rate variability (HRV) postexercise. This paper presents a protocol to study the dehydration from the electrocardiographic signal in athletes, which comprised three phases: i) Rest (RE): before any physical activity, ii) post-exercise (PE): athletes performed a physical activity by pedaling a stationary bike, iii) post-hydration (PH): the subjects drank water ad libitum. In each phase, an electrocardiographic acquisition and weight measure were performed. In RE phase height was measured and in PE phase subjective effort perception of Borg was performed. The protocol was carried out in the morning. The sample consisted of 17 male athletes. The study of HRV in each of the electrocardiographic signals was performed by obtaining time-domain parameters (RR, RMSSD, SDRR), frequency-domain parameters (LF, HF) and non-linear parameters (SD1, SD2, approximate entropy and scaled exponents: ?1 and ?2). The findings in this paper imply that parameters: RR, RMSSD, SDRR, LF, HF, ?2, SD1 and SD2 from HRV, are able to differentiate between phases of hydration and dehydration in the individual athlete, which could be used in the early detection of dehydration using the ECG signal, that is readily available and also noninvasively measure.
URI : https://www.scopus.com/inward/record.uri?eid=2-s2.0-85002577245&doi=10.1109%2fSTSIVA.2016.7743355&partnerID=40&md5=2061431a88bea36555160019d08f3bc1
http://dspace.ucuenca.edu.ec/handle/123456789/29019
ISBN : 9781509037971
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