Analysis of Heart Rate Variability during the Performance of the Wim Hof Method in Healthy Subjects.

Beatriz F Giraldo Giraldo, David Ferre Lopez, Jordi Sola-Soler
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Abstract

Cardiorespiratory interaction is related to the heart rate variability (HRV) synchronized with respiration. These metrics help to comprehend the autonomic nervous system (ANS) functionality in cardiovascular mechanisms. In this work, we aim to study the HRV in healthy subjects aged 18-24 years during the breathing techniques based on deep breaths followed by apnoeas, developed by Wim Hof (WHM). The attributes of all participates have been treated as a group and therefore, separated by gender. A total of 11 intervals have been distinguished: starting of basal respiration (SRI = 1), controlled deep breaths (CDB = 3), long expiratory apnoea (LEA = 3), short inspiratory apnoea (SIA = 3) and ending with basal respiration again (FRI = 1). To strengthen the HRV knowledge extraction from these scenarios, time and frequency analysis is conducted. In general, breathing and apnoea intervals presented significant statistically differences (p < 0.05), heart rate (HR) mean between SRI and FRI (p < 0.001), RR variability of LEA intervals (p < 0.01), root mean square of RR intervals during CDB (p < 0.05), maximum high frequency (HF) peak amplitude between SRI and FRI (p = 0.016), and low frequency (LF) area for LEA intervals (p < 0.001). When performing the frequency analysis, it has been observed that the sympathetic nervous system (SNS) has a higher contribution in the apnoea intervals. In conclusion, the WHM method implementation seems to involve a decrease in the HR. Specific breathing techniques could help to control the body in different conditions.Clinical Relevance- The WHM seems to imply a decrease on HR. Furthermore, after the implementation of the WHM, women presented higher HRV.

健康受试者执行维姆-霍夫方法时的心率变异性分析
心肺交互作用与心率变异性(HRV)和呼吸同步有关。这些指标有助于理解自律神经系统(ANS)在心血管机制中的功能。在这项工作中,我们旨在研究 18-24 岁健康受试者在使用 Wim Hof(WHM)开发的基于深呼吸和呼吸暂停的呼吸技术时的心率变异。所有参与者的属性都被视为一个群体,因此按性别分开。总共区分了 11 个时间间隔:开始基础呼吸(SRI = 1)、控制深呼吸(CDB = 3)、长呼气暂停(LEA = 3)、短吸气暂停(SIA = 3)和再次基础呼吸结束(FRI = 1)。为了加强从这些情景中提取心率变异知识,进行了时间和频率分析。一般来说,呼吸和呼吸暂停间歇、SRI 和 FRI 之间的心率(HR)平均值(p < 0.001)、LEA 间歇的 RR 变异性(p < 0.01)、CDB 期间 RR 间歇的均方根(p < 0.05)、SRI 和 FRI 之间的最大高频(HF)峰值振幅(p = 0.016)以及 LEA 间歇的低频(LF)面积(p < 0.001)在统计学上存在显著差异。在进行频率分析时,观察到交感神经系统(SNS)在呼吸暂停间期的贡献较大。总之,实施 WHM 方法似乎会降低心率。特定的呼吸技巧有助于在不同情况下控制身体。此外,实施 WHM 法后,女性的心率变异性更高。
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