Assessment of Sleep Quality by Electrocardiogram: Usefulness for Risk Stratification among Hemodialysis Patients with End-stage Renal Disease

Yoshifumi Moriyama, Hiroki Ogasawara, Emi Yuda, Junichiro Hayano

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Good sleep is an indispensable factor for maintaining healthy life and sleep impairment is increased risk of morbidity and mortality among patients with chronic disorders. The standard method for diagnosing sleep disorder is polysomnography, but the development of a simpler method is desired due to its time and economic burden. In this study, we developed the assessment of sleep quality by nighttime electrocardiography (ECG) and examined its usefulness for risk stratification among chronic hemodialysis patients with end-stage renal disease. We introduced new ECG indices for estimating non-REM sleep period and the frequency of sleep disordered breathing in addition to the conventional risk markers of heart rate variability (HRV). We observed that mortality risk during a follow-up for 100 months was predicted by the markers of shortened total non-REM period and blunted cardiac response to sleep apnea independently of age, comorbidity including diabetes, and conventional HRV indices.

Original languageEnglish
Title of host publication2018 IEEE 7th Global Conference on Consumer Electronics, GCCE 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages408-409
Number of pages2
ISBN (Electronic)9781538663097
DOIs
Publication statusPublished - 2018 Dec 12
Externally publishedYes
Event7th IEEE Global Conference on Consumer Electronics, GCCE 2018 - Nara, Japan
Duration: 2018 Oct 92018 Oct 12

Publication series

Name2018 IEEE 7th Global Conference on Consumer Electronics, GCCE 2018

Other

Other7th IEEE Global Conference on Consumer Electronics, GCCE 2018
Country/TerritoryJapan
CityNara
Period18/10/918/10/12

Keywords

  • Electrocardiography
  • Heart rate variability
  • Hemodialysis
  • Mortality prediction
  • Signal preocessing
  • Sleep apnea
  • Sleep quality

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality
  • Instrumentation

Fingerprint

Dive into the research topics of 'Assessment of Sleep Quality by Electrocardiogram: Usefulness for Risk Stratification among Hemodialysis Patients with End-stage Renal Disease'. Together they form a unique fingerprint.

Cite this