@inproceedings{f0bc8ad2f3054cb49693d3c7d294eb33,
title = "Assessment of Sleep Quality by Electrocardiogram: Usefulness for Risk Stratification among Hemodialysis Patients with End-stage Renal Disease",
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.",
keywords = "Electrocardiography, Heart rate variability, Hemodialysis, Mortality prediction, Signal preocessing, Sleep apnea, Sleep quality",
author = "Yoshifumi Moriyama and Hiroki Ogasawara and Emi Yuda and Junichiro Hayano",
year = "2018",
month = dec,
day = "12",
doi = "10.1109/GCCE.2018.8574695",
language = "English",
series = "2018 IEEE 7th Global Conference on Consumer Electronics, GCCE 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "408--409",
booktitle = "2018 IEEE 7th Global Conference on Consumer Electronics, GCCE 2018",
note = "7th IEEE Global Conference on Consumer Electronics, GCCE 2018 ; Conference date: 09-10-2018 Through 12-10-2018",
}