Sleep staging from Heart Rate Variability: time-varying spectral features and Hidden Markov Models

被引：68

作者：

Mendez, Martin Oswaldo ^{[1
]}

Matteucci, Matteo ^{[2
]}

Castronovo, Vincenza ^{[3
]}

Ferini-Strambi, Luigi ^{[3
]}

Cerutti, Sergio ^{[1
]}

Bianchi, Anna Maria ^{[1
]}

机构：

[1] Politecn Milan, Bioengn Dept, Piazza Leonardo,Vinci 32, I-20133 Milan, Italy

[2] Politecn Milan, Elect & Informat Dept, I-20133 Milan, Italy

[3] Univ Vite Salute, Osped San Raffaele, Sleep Disorder Ctr, I-20127 Milan, Italy

来源：

INTERNATIONAL JOURNAL OF BIOMEDICAL ENGINEERING AND TECHNOLOGY | 2010年 / 3卷 / 3-4期

关键词：

HRV; heart rate variability; sleep; DSS; decision-support systems; sleep staging; time-varying analysis; HMM; hidden Markov model;

D O I：

10.1504/IJBET.2010.032695

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

An alternative DSS which models the behaviour of the Heart Rate Variability (HRV) signal linked to stable (NREM) and instable (REM) cerebral waves during sleep and a probabilistic model of the sleep stages transitions for decision was developed. Time-Varying Autoregressive Models (TVAMs) were used as feature extractor while Hidden Markov Models (HMM) was used as time series classifier. 24 full polysomnography recordings from healthy sleepers were used for the analysis and those were separated in two sets of 12 each: training and test set. The classification performance for the test set was specificity = 0.851, accuracy = 0.793 and sensitivity = 0.702.

引用

页码：246 / 263

页数：18

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