Sliding Trend Fuzzy Approximate Entropy as a Novel Descriptor of Heart Rate Variability in Obstructive Sleep Apnea.
IEEE J Biomed Health Inform
; 23(1): 175-183, 2019 01.
Article
em En
| MEDLINE
| ID: mdl-29993964
ABSTRACT
Obstructive sleep apnea (OSA) is a common sleep disorder that is often associated with reduced heart rate variability (HRV), thus reflecting modulation of the autonomic system. Sliding trend fuzzy approximate entropy (SlTr-fApEn), which is based on the empirical mode decomposition (EMD) method, has been proposed as a novel index for analyzing HRV with OSA. This study included 60 electrocardiogram recordings from the PhysioNet database (40 OSA recordings and 20 healthy recordings) with apnea or no apnea in 5-minute segments. HRV indices obtained by sliding trend analysis were compared to those obtained by time-frequency domain analysis. Among all indices, the ratio of low-frequency power and high-frequency power (LF/HF) and sliding trend indices could significantly differentiate OSA recordings from normal recordings (p < 0.05). The OSA screening accuracy of SlTr-fApEn (85%) was higher than that of LF/HF (80%). Disease state analysis showed significant differences in SlTr-fApEn among the control group, normal OSA group, and apnea OSA group (p < 0.05). Therefore, SlTr-fApEn can reflect the complexity of autonomic changes during a short time period.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Processamento de Sinais Assistido por Computador
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Apneia Obstrutiva do Sono
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Frequência Cardíaca
Limite:
Adult
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Female
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Humans
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Male
Idioma:
En
Revista:
IEEE J Biomed Health Inform
Ano de publicação:
2019
Tipo de documento:
Article
País de publicação:
EEUU
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ESTADOS UNIDOS
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ESTADOS UNIDOS DA AMERICA
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EUA
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UNITED STATES
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UNITED STATES OF AMERICA
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US
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USA