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使用希尔伯特变换来评估功能性食物对自主神经系统活动的影响:与快速里埃变换的比较

Ayaka Yoshino¹, Harunobu Nakamura², Yoshimitsu Okita^1,3

¹Graduate School of Science and Technology, Shizuoka University.

Journal of nutritional science and vitaminology

|April 29, 2024

概括

这项研究表明,在消耗功能性食物后分析心率变化 (HRV) 时,希尔伯特分析比FT更好. 它通过减少文物,提供更可靠的自主神经系统 (ANS) 数据.

科学领域:

生理学生理学生理学
生物医学工程生物医学工程
营养科学营养科学

背景情况:

心率变化 (HRV) 分析用于评估自主神经系统 (ANS) 和其对饮食干预的反应.
使用快速里埃转换 (FFT) 的传统HRV分析难以消除来自运动或意想不到的生理事件的工件.

研究的目的:

为了比较基于希尔伯特变换的HRV分析与FFT分析的有效性,用于评估ANS对功能性食物摄入的反应.
确定希尔伯特分析是否在HRV研究中提供了更好的文物删除和数据可靠性.

主要方法:

电心电图 (ECG) 数据从六名男性参与者在摄入功能性食物 (胺黄油酸) 期间收集.
HRV指数的计算使用了传统的FT分析和一种结合带宽过器和希尔伯特变换的新方法.
希尔伯特转换方法确保所有HRV指数都来自与原始HRV数据相同的采样点数量.

主要成果:

与FT分析相比,希尔伯特转换分析产生了较小标准误差的HRV指数.
这表明通过希尔伯特分析获得的HRV测量的精度和一致性更高.
希尔伯特方法表明,数据质量有所改善,HRV指数的变化率有所降低.

结论:

希尔伯特转换分析是一种比FT更适合的方法,用于在功能性食物消费的背景下通过HRV评估自主神经系统.
这种先进的分析方法通过减轻文物的影响来提高HRV数据的可靠性.
这些发现支持使用希尔伯特分析在营养研究中进行更准确的生理评估.

关键词:

希尔伯特变换是一个变换.自主神经系统自主神经系统电心电图 (ECG) 是一种心电图.功能性食品是一种功能性食品.心率变化的心率变化.

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