TY - JOUR

T1 - Estimating the relationship between heart rate and power output for short term cycling exercises

AU - Meyer, Daniel

AU - Dungs, Carolin

AU - Senner, Veit

N1 - Publisher Copyright:
© 2015 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license.

PY - 2015

Y1 - 2015

N2 - In this paper, we statistically analyze a dataset of performance diagnostics of 1940 subjects to examine the influence of different physical characteristics on the relationship between heart rate and power output. Five characteristics - the cyclist's height, weight, age, sex and fitness level - were identified as parameters for the model. Next, we divide the dataset into different subsets according to the statistical analysis and modify formulas found in the literature to estimate the maximum heart rate as well as the maximum power output for each group. Then, we derive formulas from the dataset to estimate the heart rate and power output at the individual anaerobic threshold (IAT) as well as the heart rate at low workload. A linear curve between these points describes the immediate relationship between heart rate and power. We compared the results of the adapted formulas to the results of the original formulas for experimental data of 15 subjects. The adapted formulas show better results in terms of mean absolute error (MAE) and sum of squared residuals (SSR) for estimating the maximum power output, but no improvement in estimating the maximum heart rate. The heart rate at IAT is predicted with a MAE of 9 beats per minute (bpm) and heart rate for low intensity with a MAE of 13 bpm. Power at the IAT is predicted with a MAE of 22 Watts.

AB - In this paper, we statistically analyze a dataset of performance diagnostics of 1940 subjects to examine the influence of different physical characteristics on the relationship between heart rate and power output. Five characteristics - the cyclist's height, weight, age, sex and fitness level - were identified as parameters for the model. Next, we divide the dataset into different subsets according to the statistical analysis and modify formulas found in the literature to estimate the maximum heart rate as well as the maximum power output for each group. Then, we derive formulas from the dataset to estimate the heart rate and power output at the individual anaerobic threshold (IAT) as well as the heart rate at low workload. A linear curve between these points describes the immediate relationship between heart rate and power. We compared the results of the adapted formulas to the results of the original formulas for experimental data of 15 subjects. The adapted formulas show better results in terms of mean absolute error (MAE) and sum of squared residuals (SSR) for estimating the maximum power output, but no improvement in estimating the maximum heart rate. The heart rate at IAT is predicted with a MAE of 9 beats per minute (bpm) and heart rate for low intensity with a MAE of 13 bpm. Power at the IAT is predicted with a MAE of 22 Watts.

KW - Electric bicycles

KW - Heart rate modeling

KW - Human physiology

KW - Power output estimation

UR - http://www.scopus.com/inward/record.url?scp=84945550065&partnerID=8YFLogxK

U2 - 10.1016/j.proeng.2015.07.206

DO - 10.1016/j.proeng.2015.07.206

M3 - Conference article

AN - SCOPUS:84945550065

SN - 1877-7058

VL - 112

SP - 237

EP - 243

JO - Procedia Engineering

JF - Procedia Engineering

T2 - 7th Asia-Pacific Congress on Sports Technology, APCST 2015

Y2 - 23 September 2015 through 25 September 2015

ER -