Papini Gabriele B, Bonomi Alberto G, Sartor Francesco
Hospital Patient Monitoring, Royal Philips Electronics, Eindhoven, Netherlands.
Department of Electrical Engineering, Technical University Eindhoven, Eindhoven, Netherlands.
Front Physiol. 2024 Apr 22;15:1358785. doi: 10.3389/fphys.2024.1358785. eCollection 2024.
This study aimed to model below and above anaerobic threshold exercise-induced heart rate (HR) drift, so that the corrected HR could better represent kinetics during and after the exercise itself. Fifteen healthy subjects (age: 28 ± 5 years; : 50 ± 8 mL/kg/min; 5 females) underwent a maximal and a 30-min submaximal (80% of the anaerobic threshold) running exercises. A five-stage computational (i.e., delay block, new training impulse-calculation block, Sigmoid correction block, increase block, and decrease block) model was built to account for instantaneous HR, fitness, and age and to onset, increase, and decrease according to the exercise intensity and duration. The area under the curve (AUC) of the hysteresis function, which described the differences in the maximal and submaximal exercise-induced and HR kinetics, was significantly reduced for both maximal (26%) and submaximal (77%) exercises and consequent recoveries. In conclusion, this model allowed HR drift instantaneous correction, which could be exploited in the future for more accurate estimations.
本研究旨在对低于和高于无氧阈运动诱发的心率（HR）漂移进行建模，以便校正后的心率能更好地反映运动期间及运动后的动力学变化。15名健康受试者（年龄：28±5岁； ：50±8 mL/kg/min；5名女性）进行了一次最大强度和一次30分钟次最大强度（无氧阈的80%）跑步运动。构建了一个五阶段计算模型（即延迟模块、新训练脉冲计算模块、Sigmoid校正模块、增加模块和减少模块），以考虑瞬时心率、体能和年龄，并根据运动强度和持续时间开始、增加和减少。描述最大强度和次最大强度运动诱发的心率和心率动力学差异的滞后函数曲线下面积（AUC）在最大强度运动（26%）和次最大强度运动（77%）及其随后的恢复过程中均显著降低。总之，该模型实现了心率漂移的瞬时校正，未来可用于更准确的估计。
