Power Spectrum Analysis of Fish Heart Rate Variability Using Maximum Entropy Method

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  • 最大エントロピー法を利用した魚類心拍変動の周波数分析
  • サイダイ エントロピーホウ オ リヨウ シタ ギョルイ シンパク ヘンドウ ノ シュウハスウ ブンセキ

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Abstract

Power spectral analysis of heart rate variability is used to determine activities of autonomic nerve system components regulating heartbeat in humans and other mammals. The power spectrum of heartbeat variability is associated with autonomic nerve system. High frequency components of power spectrum, in particular, represent parasympathetic (vagal) nerve activation. In this study, the power spectral analysis was applied to quantitatively evaluate fish physiological conditions through ECG recordings. Noise in actively swimming fish can not be isolated and the baseline of ECG is distorted making it difficult to obtain clear and continuous recordings. Maximum entropy method (MEM) was introduced to overcome this problem. MEM generates power spectrum clearly using relatively limited data to analyze heartbeat variability. Continuous R-R intervals were measured before and after subjecting the fish to hypoxia and anesthesia (using MS-222) to simulate increase and decrease of vagal nerve activity, respectively. It was observed that when vagal nerve was active the relatively high frequency component (0.3-0.5 cycle/beat) of the spectral power of heartbeat variability increased. On the contrary, when vagal nerve was inactive this component vanished. It is inferred that high frequency bands of spectral power of R-R intervals also represent the vagal nerve activity in fish.

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