Ludwig, Melanie ; Hoffmann, Katrin ; Endler, Stefan ; Asteroth, Alexander ; Wiemeyer, Josef (2024)
Measurement, Prediction, and Control of Individual Heart Rate Responses to Exercise — Basics and Options for Wearable Devices.
In: Frontiers in Physiology, 2018, 9
doi: 10.26083/tuprints-00016219
Artikel, Zweitveröffentlichung, Verlagsversion
 | Es ist eine neuere Version dieses Eintrags verfügbar. |
Kurzbeschreibung (Abstract)
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.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2024 |
| Autor(en): | Ludwig, Melanie ; Hoffmann, Katrin ; Endler, Stefan ; Asteroth, Alexander ; Wiemeyer, Josef |
| Art des Eintrags: | Zweitveröffentlichung |
| Titel: | Measurement, Prediction, and Control of Individual Heart Rate Responses to Exercise — Basics and Options for Wearable Devices |
| Sprache: | Englisch |
| Publikationsjahr: | 8 März 2024 |
| Ort: | Darmstadt |
| Publikationsdatum der Erstveröffentlichung: | 25 Juni 2018 |
| Ort der Erstveröffentlichung: | Lausanne |
| Verlag: | Frontiers Media S.A. |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Frontiers in Physiology |
| Jahrgang/Volume einer Zeitschrift: | 9 |
| Kollation: | 15 Seiten |
| DOI: | 10.26083/tuprints-00016219 |
| URL / URN: | https://tuprints.ulb.tu-darmstadt.de/16219 |
| Zugehörige Links: | |
| Herkunft: | Zweitveröffentlichung DeepGreen |
| Kurzbeschreibung (Abstract): | 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. |
| Freie Schlagworte: | wearable sensors, heart rate modeling, heart rate control, heart rate prediction, phenomenological approaches, training monitoring, load control |
| ID-Nummer: | Artikel-ID: 778 |
| Status: | Verlagsversion |
| URN: | urn:nbn:de:tuda-tuprints-162198 |
| Zusätzliche Informationen: | This article is part of the Research Topic: Wearable Sensor Technology for Monitoring Training Load and Health in the Athletic Population Specialty section: This article was submitted to Exercise Physiology, a section of the journal Frontiers in Physiology |
| Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 000 Allgemeines, Informatik, Informationswissenschaft > 004 Informatik 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin, Gesundheit 700 Künste und Unterhaltung > 796 Sport |
| Fachbereich(e)/-gebiet(e): | 03 Fachbereich Humanwissenschaften 03 Fachbereich Humanwissenschaften > Institut für Sportwissenschaft 03 Fachbereich Humanwissenschaften > Institut für Sportwissenschaft > Sportinformatik |
| Hinterlegungsdatum: | 08 Mär 2024 13:10 |
| Letzte Änderung: | 12 Mär 2024 07:37 |
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| Suche nach Titel in: | TUfind oder in Google |
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- Measurement, Prediction, and Control of Individual Heart Rate Responses to Exercise — Basics and Options for Wearable Devices. (deposited 08 Mär 2024 13:10) [Gegenwärtig angezeigt]
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