Evaluation of a simplified index (spectral entropy) about sleep state of electrocardiogram recorded by a simplified polygraph, MemCalc-Makin2

Noriko Ohisa, Hiromasa Ogawa, Nobuki Murayama, Katsumi Yoshida

研究成果: Article査読

1 被引用数 (Scopus)

抄録

BACKGROUND: Polysomnography (PSG) is the gold standard for the diagnosis of sleep apnea hypopnea syndrome (SAHS), but it takes time to analyze the PSG and PSG cannot be performed repeatedly because of efforts and costs. Therefore, simplified sleep respiratory disorder indices in which are reflected the PSG results are needed. The Memcalc method, which is a combination of the maximum entropy method for spectral analysis and the non-linear least squares method for fitting analysis (Makin2, Suwa Trust, Tokyo, Japan) has recently been developed. Spectral entropy which is derived by the Memcalc method might be useful to expressing the trend of time-series behavior. AIM: Spectral entropy of ECG which is calculated with the Memcalc method was evaluated by comparing to the PSG results. SUBJECTS: Obstructive SAS patients (n = 79) and control volanteer (n = 7) METHODS: ECG was recorded using MemCalc-Makin2 (GMS) with PSG recording using Alice IV (Respironics) from 20:00 to 6:00. Spectral entropy of ECG, which was calculated every 2 seconds using the Memcalc method, was compared to sleep stages which were analyzed manually from PSG recordings. RESULTS: Spectral entropy value (-0.473 vs. -0.418, p < 0.05) were significantly increased in the OSAHS compared to the control. For the entropy cutoff level of -0.423, sensitivity and specificity for OSAHS were 86.1% and 71.4%, respectively, resulting in a receiver operating characteristic with an area under the curve of 0.837. The absolute value of entropy had inverse correlation with stage 3. CONCLUSIONS: Spectral entropy, which was calculated with Memcalc method, might be a possible index evaluating the quality of sleep.

本文言語English
ページ(範囲)119-123
ページ数5
ジャーナルRinsho byori. The Japanese journal of clinical pathology
58
2
出版ステータスPublished - 2010 2

ASJC Scopus subject areas

  • Medicine(all)

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