| Summary: | 碩士 === 國立中山大學 === 機械與機電工程學系研究所 === 102 === Abstract
Treadmills often provide a variety of training modes for the runners. However, the information about the impacts of these training modes are typically unavailable. Hence, this work intends to develop a tool to estimate the training load for treadmill running.
In specific, this work tries to measure a number of gait signals by placing load cell sensors at the supporting legs of the treadmill platform. Additionally, we use system identification method to build a dynamic system model for the treadmill. With such a model, the vertical ground reaction force (GRF) of the runners can be computed from the measurements of the load cells. A number of GRF based measures are then proposed to characterize the gait.
Based on the in-house-designed ECG sensors, we also determine the heart rate (HR) and the speed of heart rate recovery (HRR) of the runners. By statistically analyzing the interaction between the HR and the GRF measures, this study investigate the impacts of the GRF on the physical conditions and training efficiency of the runners.
The experimental subjects include 7 young male runners who were asked to run at the speed of 8.5km/hr for 30 minutes nine times. From the data of these experiments, we have the following discoveries. First, the magnitude of the GRF signal and the running HR is positively correlated. Second, the magnitude of the GRF signal and the speed of HRR is also positively correlated. Third, there is no significant correlation between running HR and the speed of HRR.
Keywords: ECG, treadmill, load cell, ground reaction force, heart rate recovery
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