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Measurement, Prediction, and Control of Individual Heart Rate Responses to Exercise - Basics and Options for Wearable Devices

  • The use of wearable devices or “wearables” in the physical activity domain has been increasing in the last years. These devices are used as training tools providing the user with detailed information about individual physiological responses and feedback to the physical training process. Advantages in sensor technology, miniaturization, energy consumption and processing power increased the usability of these wearables. Furthermore, available sensor technologies must be reliable, valid, and usable. Considering the variety of the existing sensors not all of them are suitable to be integrated in wearables. The application and development of wearables has to consider the characteristics of the physical training process to improve the effectiveness and efficiency as training tools. During physical training, it is essential to elicit individual optimal strain to evoke the desired adjustments to training. One important goal is to neither overstrain nor under challenge the user. Many wearables use heart rate as indicator for this individual strain. However, due to a variety of internal and external influencing factors, heart rate kinetics are highly variable making it difficult to control the stress eliciting individually optimal strain. For optimal training control it is essential to model and predict individual responses and adapt the external stress if necessary. Basis for this modeling is the valid and reliable recording of these individual responses. Depending on the heart rate kinetics and the obtained physiological data, different models and techniques are available that can be used for strain or training control. Aim of this review is to give an overview of measurement, prediction, and control of individual heart rate responses. Therefore, available sensor technologies measuring the individual heart rate responses are analyzed and approaches to model and predict these individual responses discussed. Additionally, the feasibility for wearables is analyzed.

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Metadaten
Document Type:Article
Language:English
Parent Title (English):Front Physiol. (Frontiers in Physiology)
Volume:9
First Page:778
ISSN:1664-042X
URN:urn:nbn:de:hbz:1044-opus-37066
DOI:https://doi.org/10.3389/fphys.2018.00778
Pubmed Id:http://www.ncbi.nlm.nih.gov/pubmed?term=29988588
Publisher:Frontiers Media
Date of first publication:2018/06/25
Note:
© 2018 Ludwig, Hoffmann, Endler, Asteroth and Wiemeyer. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).
Tag:heart rate control; heart rate modeling; heart rate prediction; load control; phenomenological approaches; training monitoring; wearable sensors
Departments, institutes and facilities:Fachbereich Informatik
Institut für Technik, Ressourcenschonung und Energieeffizienz (TREE)
Dewey Decimal Classification (DDC):0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 613 Persönliche Gesundheit und Sicherheit
Entry in this database:2018/06/13
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International