探討禪定組和控制組之頻域心律變異和符號運算之心肺交互作用

Abstract

本研究的目的是利用符號化運算和頻域心律變異分析等方法來探討禪定組和控制組的心肺功能。本研究包括15位一般受測者和7位具有禪定經驗的禪修者。信號分析中包括時域和頻域的方法。Miniscale symbolic dynamic（MSD）首次被使用在我的研究中來探索微觀尺度隨時間變化的心肺同步現象。 Pearson’s correlation coefficient為我們應用的另一方法進行量化心肺之間相互作用關係。初步結果顯示，控制組在呼吸引導階段有較好的心肺同步率，印證禪定初學者總是藉由調節呼吸來平靜他們的大腦和心靈進入禪定達到良好的身心狀態。此外禪定組在禪定狀態和控制組在2個休息階段的平均心肺同步率大致相同，然而，禪定組年齡皆高於控制組很多。因此，我們可以得出結論，禪定能很好地保持心肺相互作用的特性。而頻域心律變異分析中顯示大部分控制組受測者進入呼吸引導階段極低頻的功率百分比較低。半數以上的禪定組在禪定狀態相較於控制組在2個休息階段的極低頻的功率百分也來的低。

This research was aimed to investigate the cardiorespiratory functioning of Zen-meditation group and control group by symbolic computation and frequency-domain HRV analysis. This study included 15 normal controls without Zen-meditation experience and 7 experienced Zen meditation practitioners. Signal analysis schemes include the time-domain and frequency-domain methods. Miniscale symbolic dynamic (MSD) method firstly developed in our research group was applied to explore the time-varying cardiorespiratory synchronization on the microscopic scale. Pearson’s correlation coefficient (PCC) method is another method applied to quantify cardiorespiratory interaction. Preliminary results reveal that the control group have better cardiorespiratory synchronization in the session of breathing control. In addition, Group averages of cardiorespiratory synchronization evaluated by MSD for control and Zen-meditation group are about the same. Notice that the ages of the Zen-meditation group cases are much older than the ages of the control group. Therefore, we may conclude that Zen meditation can well maintain the efficiency of cardiorespiratory interactions. In frequency domain HRV analysis, most cases of control group have lower VLF power percentage in the session of breathing control, yet, have higher VLF power percentages in the other sessions. In comparison, Most of the Zen-meditation group have VLF power percentage smaller than 45%.