[Effect of age on electrocardiogram entropy value of parameters by sleep respiratory disturbance].

Noriko Ohisa, Hiromasa Ogawa, Toshiya Irokawa, Hajime Kurosawa, Katsumi Yoshida

研究成果: Article査読


Spectral entropy of electrocardiogram (ECG), which was calculated using the MemCalc method with a portable bio-signal measurement instrument (PBSM), might be a possible parameter for evaluating the quality of sleep. This study assessed the effects of ECG spectral entropy on obstructive sleep apnea/hypopnea syndrome (OSAHS) depending on age. ECG was recorded using a PBSM, and the maximum entropy of ECG every 9 RR intervals was calculated. These entropies were compared with the age and sleeping indices obtained with a conventional polysomnography (PSG) system. Seventy-six patients suspected of OSAHS were recorded from 20:00 to 06:00 using a conventional PSG system (Alice III) and a PBSM (MemCalc-Makin2) simultaneously. ECG entropy showed correlations to high frequency (HF, 0.15-0.40 Hz) heart rate variability in the cardiac parasympathetic activity index, as did the ECG entropy value, and a negative correlation was found with the age (r = 0.538, p < 0.0001), and positive correlation with the HF value (r = 0.810, p < 0.0001). The ECG entropy value in subjects aged > or = 40 with no different sleep respiratory disturbance index by PSG data (AHI, Arousal Index, DSI, and sleep efficiency, etc.) to 60 years old was compared with those aged > or = 60. The ECG entropy value and HF value decreased at > or = 60 years old with statistically significant. The value of ECG entropy corresponds to cardiac parasympathetic function, and it decreases according to age (increase by the absolute value).

ジャーナルRinsho byori. The Japanese journal of clinical pathology
出版ステータスPublished - 2010 11月 1

ASJC Scopus subject areas

  • 医学(全般)


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