NDLI: Continuous relation between high frequency component of HRV and respiratory frequency during postural change

Content Provider	IEEE Xplore Digital Library
Author	Carrasco-Sosa, S. Guillen-Mandujano, A. Coello-Caballero, P.
Copyright Year	2009
Description	Author affiliation: División de Ciencias Básicas e Ingeniería, Universidad Autónoma Metropolitana-I, DF, México (Guillen-Mandujano, A.; Coello-Caballero, P.) \|\| División de Ciencias Biológicas y de la Salud, Universidad Autónoma Metropolitana-I, DF, México (Carrasco-Sosa, S.)
Abstract	Our aims were to use a chirp-type breathing maneuver to obtain a continuous relation between the high frequency component of HRV (HFRR) and respiratory frequency (RF), and to assess if it indicates the vagal withdrawal induced by a postural change. ECG and lung volume were registered from 30 subjects who performed, in sitting and standing, a 70-s continuous linear RF increase from 0.05 to 0.8 Hz at constant tidal volume. From the smoothed pseudo-Wigner-Ville distribution of the RR intervals and tidal volume series, HFRR and RF were computed to obtain the relation. After log-transformation, correlations were −0.88±0.03 in sitting and −0.89±0.04 in standing. With the postural change the intercept decreased (p≪0.001) and the slope increased (p≪0.009), indicating a vagal withdrawal. The continuous HFRR-RF relation we obtained can assess the vagal effect of the postural change independently from the RF influence, improving the interpretability of HFRR as vagal index.
Starting Page	45
Ending Page	48
File Size	1363331
Page Count	4
File Format	PDF
ISBN	9781424472819
ISSN	02766547
e-ISBN	9781424472826
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Computers in Cardiology(CinC)
Subject Keyword	Heart rate variability Radio frequency Frequency estimation Electrocardiography Time frequency analysis Spectral analysis Protocols Distributed computing Chirp Frequency conversion
Content Type	Text
Resource Type	Article

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