A study of heart rate variability as sleep apnoea predictor over two different databases

Author

Peiteado-Brea, Veronica ; Alvarez-Estevez, Diego ; Moret-Bonillo, Vicente

Author_Institution

Dept. of Comput. Sci., LIDIA Res. Group, Univ. of A Coruna, A Coruña, Spain

fYear

2014

fDate

1-4 June 2014

Firstpage

359

Lastpage

362

Abstract

The main aim of this work is to study the consistency of ECG-based approaches for the screening of apnoeic patients, which are based on estimation of the Heart Rate Variability (HRV) by computing the so called High Frequency to Low Frequency (HF/LF) ratio. Different intervals and thresholds proposed in the literature for the previous ratio are compared with those found by the authors, and tested on two different databases. While more studies need to be launched on this area, our results suggest that patient classification according to this approach suffers from high variability and is widely dependent of the set of patients used for the tests.

Keywords

electrocardiography; estimation theory; feature extraction; medical disorders; medical information systems; medical signal processing; pneumodynamics; signal classification; sleep; ECG databases; ECG-based approach; HF-LF ratio computation; HF-LF ratio intervals; HF-LF ratio thresholds; HRV estimation; apnoeic patient screening consistency; heart rate variability estimation; high-frequency-to-low-frequency ratio computation; patient classification variability; patient set dependence; sleep apnoea predictor; Databases; Electrocardiography; Hafnium; Heart rate variability; Sleep apnea; Testing; Training;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical and Health Informatics (BHI), 2014 IEEE-EMBS International Conference on

Conference_Location

Valencia

Type

conf

DOI

10.1109/BHI.2014.6864377

Filename

6864377