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结合近红外光谱和心率变异性衍生阈值来估计运动的临界强度。

Combining Near-Infrared Spectroscopy and Heart Rate Variability Derived Thresholds to Estimate the Critical Intensity of Exercise.

作者信息

Fleitas-Paniagua Pablo R, de Almeida Azevedo Rafael, Trpcic Mackenzie, Murias Juan M, Rogers Bruce

机构信息

Faculty of Kinesiology, University of Calgary, Calgary, Canada.

College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar; and.

出版信息

J Strength Cond Res. 2024 Jan 1;38(1):e16-e24. doi: 10.1519/JSC.0000000000004597. Epub 2023 Oct 6.

DOI:10.1519/JSC.0000000000004597
PMID:37815285
Abstract

Fleitas-Paniagua, PR, de Almeida Azevedo, R, Trpcic, M, Murias, JM, and Rogers, B. Combining near-infrared spectroscopy and heart rate variability derived thresholds to estimate the critical intensity of exercise. J Strength Cond Res 38(1): e16-e24, 2024-Critical intensity determination often requires costly tools and several testing sessions. Alternative approaches display relatively large individual variation. Therefore, simpler estimations with improved precision are needed. This study evaluated whether averaging the heart rate (HR) and oxygen uptake (V̇O 2 ) responses associated with the muscle deoxyhemoglobin concentration breakpoint ([HHb] BP ) and the heart rate variability (HRV) given by the detrended fluctuation analysis second threshold (HRVT2) during ramp incremental (RI) test improved the accuracy of identifying the HR and V̇O 2 at the respiratory compensation point (RCP). Ten female and 11 male recreationally trained subjects performed a 15 W·minute -1 RI test. Gas exchange, near-infrared spectroscopy (NIRS), and RR interval were recorded to assess the RCP, [HHb] BP , and HRVT2. Heart rate (mean ± SD : 158 ± 14, 156 ± 13, 160 ± 14 and, 158 ± 12 bpm) and V̇O 2 (3.08 ± 0.69, 2.98 ± 0.58, 3.06 ± 0.65, and 3.02 ± 0.60 L·minute -1 ) at the RCP, [HHb] BP , HRVT2, and HRVT2&[HHb] BP average (H&H Av ), respectively, were not significantly different ( p > 0.05). The linear relationship between H&H Av and RCP was higher compared with the relationship between [HHb] BP vs RCP and HRVT2 vs RCP for both HR ( r = 0.85; r = 0.73; r = 0.79, p > 0.05) and V̇O 2 ( r = 0.94; r = 0.93; r = 0.91, p > 0.05). Intraclass correlation between RCP, [HHb] BP , HRVT2, and H&H AV was 0.93 for V̇O 2 and 0.79 for HR. The [HHb] BP and the HRVT2 independently provided V̇O 2 and HR responses that strongly agreed with those at the RCP. Combining [HHb] BP and the HRVT2 resulted in estimations of the V̇O 2 and HR at the RCP that displayed smaller variability compared with each modality alone.

摘要

弗莱塔斯 - 帕尼亚瓜、PR、德阿尔梅达·阿泽维多、R、特普西克、M、穆里亚斯、JM和罗杰斯、B。结合近红外光谱和心率变异性得出的阈值来估计运动的临界强度。《力量与体能研究杂志》38(1): e16 - e24,2024年——临界强度的确定通常需要昂贵的工具和多次测试。替代方法显示出相对较大的个体差异。因此,需要更简单且精度更高的估计方法。本研究评估了在递增负荷(RI)测试期间,对与肌肉脱氧血红蛋白浓度断点([HHb]BP)相关的心率(HR)和摄氧量(V̇O₂)反应以及去趋势波动分析第二个阈值(HRVT2)给出的心率变异性(HRV)进行平均,是否能提高识别呼吸补偿点(RCP)处HR和V̇O₂的准确性。十名女性和十一名男性的休闲训练受试者进行了15 W·分钟⁻¹的RI测试。记录气体交换、近红外光谱(NIRS)和RR间期,以评估RCP、[HHb]BP和HRVT2。RCP、[HHb]BP、HRVT2以及HRVT2&[HHb]BP平均值(H&H Av)处的心率(平均值±标准差:158 ± 14、156 ± 13、160 ± 14和158 ± 12次/分钟)和V̇O₂(3.08 ± 0.69、2.98 ± 0.58、3.06 ± 0.65和3.02 ± 0.60升·分钟⁻¹)分别无显著差异(p > 0.05)。对于HR(r = 0.85;r = 0.73;r = 0.79,p > 0.05)和V̇O₂(r = 0.94;r = 0.93;r = 0.91,p > 0.05),H&H Av与RCP之间的线性关系高于[HHb]BP与RCP以及HRVT2与RCP之间的关系。RCP、[HHb]BP、HRVT2和H&H AV之间的组内相关性对于V̇O₂为0.93,对于HR为0.79。[HHb]BP和HRVT2独立提供的V̇O₂和HR反应与RCP处的反应高度一致。将[HHb]BP和HRVT2结合起来,得出的RCP处V̇O₂和HR估计值与单独使用每种方法相比,变异性更小。

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