University of Oulu

X. Liu, X. Su, S. Tamminen, T. Korhonen and J. Röning, "Predicting the Heart Rate Response to Outdoor Running Exercise," 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS), Cordoba, Spain, 2019, pp. 217-220. doi: 10.1109/CBMS.2019.00052

Predicting the heart rate response to outdoor running exercise

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Author: Liu, Xiaoli1; Su, Xiang2; Tamminen, Satu1;
Organizations: 1University of Oulu, Oulu, Finland
2University of Helsinki, Helsinki, Finland
3Polar Electro Oy, Kempele, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.2 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2019
Publish Date: 2020-03-23


Heart rate is a good measure for physical exercise as it accurately reflects exercise intensity and is easy to measure. If the heart rate response to a complete exercise session is predicted beforehand, information related to the exercise can be inferred, such as exercise intensity and calorie consumption. While most current heart rate prediction models are developed and tested for the scenarios of indoor running exercise or low running speed exercise, we adopt a nonlinear Ordinary Differential Equation (ODE) model for complete outdoor running exercise sessions to predict the heart rate response and identify the parameters of the model with machine learning algorithms. The proposed model enables us to predict a complete outdoor running exercise session instead of predicting the heart rate for a short duration. Model validation is carried out both on the training and testing sets. Our results show that the proposed model captures very stable prediction performance.

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Series: Proceedings. IEEE International Symposium on Computer-Based Medical Systems
ISSN: 2372-918X
ISSN-E: 2372-9198
ISSN-L: 2372-918X
ISBN: 978-1-7281-2286-1
ISBN Print: 978-1-7281-2287-8
Pages: 217 - 220
Article number: 8787453
DOI: 10.1109/CBMS.2019.00052
Host publication: 32nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2019, 5-7 June 2019, Cordoba, Spain
Conference: IEEE International Symposium on Computer-Based Medical Systems
Type of Publication: A4 Article in conference proceedings
Field of Science: 113 Computer and information sciences
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