Inicio  /  Applied Sciences  /  Vol: 10 Par: 23 (2020)  /  Artículo
ARTÍCULO
TITULO

Effectiveness of Training Prescription Guided by Heart Rate Variability Versus Predefined Training for Physiological and Aerobic Performance Improvements: A Systematic Review and Meta-Analysis

Juan Pablo Medellín Ruiz    
Jacobo Ángel Rubio-Arias    
Vicente Javier Clemente-Suarez and Domingo Jesús Ramos-Campo    

Resumen

A systematic review and meta-analysis were performed to determine if heart rate variability-guided training (HRV-g), compared to predefined training (PT), maximizes the further improvement of endurance physiological and performance markers in healthy individuals. This analysis included randomized controlled trials assessing the effects of HRV-g vs. PT on endurance physiological and performance markers in untrained, physically active, and well-trained subjects. Eight articles qualified for inclusion. HRV-g training significantly improved maximum oxygen uptake (VO2max) (MD = 2.84, CI: 1.41, 4.27; p < 0.0001), maximum aerobic power or speed (WMax) (SMD = 0.66, 95% CI 0.33, 0.98; p < 0.0001), aerobic performance (SMD = 0.71, CI 0.16, 1.25; p = 0.01) and power or speed at ventilatory thresholds (VT) VT1 (SMD = 0.62, CI 0.04, 1.20; p = 0.04) and VT2 (SMD = 0.81, CI 0.41, 1.22; p < 0.0001). However, HRV-g did not show significant differences in VO2max (MD = 0.96, CI -1.11, 3.03; p = 0.36), WMax (SMD = 0.06, CI -0.26, 0.38; p = 0.72), or aerobic performance (SMD = 0.14, CI -0.22, 0.51; p = 0.45) in power or speed at VT1 (SMD = 0.27, 95% CI -0.16, 0.70; p = 0.22) or VT2 (SMD = 0.18, 95% CI -0.20, 0.57; p = 0.35), when compared to PT. Although HRV-based training periodization improved both physiological variables and aerobic performance, this method did not provide significant benefit over PT.

 Artículos similares

       
 
Daniel Rusche, Nils Englert, Marlen Runz, Svetlana Hetjens, Cord Langner, Timo Gaiser and Cleo-Aron Weis    
Background: In this study focusing on colorectal carcinoma (CRC), we address the imperative task of predicting post-surgery treatment needs by identifying crucial tumor features within whole slide images of solid tumors, analogous to locating a needle in... ver más
Revista: Applied Sciences

 
Rongsheng Li, Jin Xu, Zhixiong Cao, Hai-Tao Zheng and Hong-Gee Kim    
In the realm of large language models (LLMs), extending the context window for long text processing is crucial for enhancing performance. This paper introduces SBA-RoPE (Segmented Base Adjustment for Rotary Position Embeddings), a novel approach designed... ver más
Revista: Applied Sciences

 
Haojie Lian, Xinhao Li, Leilei Chen, Xin Wen, Mengxi Zhang, Jieyuan Zhang and Yilin Qu    
Neural radiance fields and neural reflectance fields are novel deep learning methods for generating novel views of 3D scenes from 2D images. To extend the neural scene representation techniques to complex underwater environments, beyond neural reflectanc... ver más

 
Andrei Paraschiv, Teodora Andreea Ion and Mihai Dascalu    
The advent of online platforms and services has revolutionized communication, enabling users to share opinions and ideas seamlessly. However, this convenience has also brought about a surge in offensive and harmful language across various communication m... ver más
Revista: Information

 
David Naseh, Mahdi Abdollahpour and Daniele Tarchi    
This paper explores the practical implementation and performance analysis of distributed learning (DL) frameworks on various client platforms, responding to the dynamic landscape of 6G technology and the pressing need for a fully connected distributed in... ver más
Revista: Information