@article{DuekingGiessingFrenkeletal.2020,
  author    = {D{\"u}king, Peter and Giessing, Laura and Frenkel, Marie Ottilie and Koehler, Karsten and Holmberg, Hans-Christer and Sperlich, Billy},
  title     = {Wrist-Worn Wearables for Monitoring Heart Rate and Energy Expenditure While Sitting or Performing Light-to-Vigorous Physical Activity: Validation Study},
  series = {JMIR mhealth and uhealth},
  volume    = {8},
  journal   = {JMIR mhealth and uhealth},
  number    = {5},
  doi       = {10.2196/16716},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-229413},
  year      = {2020},
  abstract  = {Background: Physical activity reduces the incidences of noncommunicable diseases, obesity, and mortality, but an inactive lifestyle is becoming increasingly common. Innovative approaches to monitor and promote physical activity are warranted. While individual monitoring of physical activity aids in the design of effective interventions to enhance physical activity, a basic prerequisite is that the monitoring devices exhibit high validity. Objective: Our goal was to assess the validity of monitoring heart rate (HR) and energy expenditure (EE) while sitting or performing light-to-vigorous physical activity with 4 popular wrist-worn wearables (Apple Watch Series 4, Polar Vantage V, Garmin Fenix 5, and Fitbit Versa). Methods: While wearing the 4 different wearables, 25 individuals performed 5 minutes each of sitting, walking, and running at different velocities (ie, 1.1 m/s, 1.9 m/s, 2.7 m/s, 3.6 m/s, and 4.1 m/s), as well as intermittent sprints. HR and EE were compared to common criterion measures: Polar-H7 chest belt for HR and indirect calorimetry for EE. Results: While monitoring HR at different exercise intensities, the standardized typical errors of the estimates were 0.09-0.62, 0.13-0.88, 0.62-1.24, and 0.47-1.94 for the Apple Watch Series 4, Polar Vantage V, Garmin Fenix 5, and Fitbit Versa, respectively. Depending on exercise intensity, the corresponding coefficients of variation were 0.9\%-4.3\%, 2.2\%-6.7\%, 2.9\%-9.2\%, and 4.1\%-19.1\%, respectively, for the 4 wearables. While monitoring EE at different exercise intensities, the standardized typical errors of the estimates were 0.34-1.84, 0.32-1.33, 0.46-4.86, and 0.41-1.65 for the Apple Watch Series 4, Polar Vantage V, Garmin Fenix 5, and Fitbit Versa, respectively. Depending on exercise intensity, the corresponding coefficients of variation were 13.5\%-27.1\%, 16.3\%-28.0\%, 15.9\%-34.5\%, and 8.0\%-32.3\%, respectively. Conclusions: The Apple Watch Series 4 provides the highest validity (ie, smallest error rates) when measuring HR while sitting or performing light-to-vigorous physical activity, followed by the Polar Vantage V, Garmin Fenix 5, and Fitbit Versa, in that order. The Apple Watch Series 4 and Polar Vantage V are suitable for valid HR measurements at the intensities tested, but HR data provided by the Garmin Fenix 5 and Fitbit Versa should be interpreted with caution due to higher error rates at certain intensities. None of the 4 wrist-worn wearables should be employed to monitor EE at the intensities and durations tested."},
  language  = {en}
}
@article{DuekingTaflerWallmannSperlichetal.2020,
  author    = {D{\"u}king, Peter and Tafler, Marie and Wallmann-Sperlich, Birgit and Sperlich, Billy and Kleih, Sonja},
  title     = {Behavior Change Techniques in Wrist-Worn Wearables to Promote Physical Activity: Content Analysis},
  series = {JMIR Mhealth and Uhealth},
  volume    = {8},
  journal   = {JMIR Mhealth and Uhealth},
  number    = {11},
  doi       = {10.2196/20820},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-230556},
  year      = {2020},
  abstract  = {Background: Decreasing levels of physical activity (PA) increase the incidences of noncommunicable diseases, obesity, and mortality. To counteract these developments, interventions aiming to increase PA are urgently needed. Mobile health (mHealth) solutions such as wearable sensors (wearables) may assist with an improvement in PA. Objective: The aim of this study is to examine which behavior change techniques (BCTs) are incorporated in currently available commercial high-end wearables that target users' PA behavior. Methods: The BCTs incorporated in 5 different high-end wearables (Apple Watch Series 3, Garmin V{\´i}voactive 3, Fitbit Versa, Xiaomi Amazfit Stratos 2, and Polar M600) were assessed by 2 researchers using the BCT Taxonomy version 1 (BCTTv1). Effectiveness of the incorporated BCTs in promoting PA behavior was assessed by a content analysis of the existing literature. Results: The most common BCTs were goal setting (behavior), action planning, review behavior goal(s), discrepancy between current behavior and goal, feedback on behavior, self-monitoring of behavior, and biofeedback. Fitbit Versa, Garmin V{\´i}voactive 3, Apple Watch Series 3, Polar M600, and Xiaomi Amazfit Stratos 2 incorporated 17, 16, 12, 11, and 11 BCTs, respectively, which are proven to effectively promote PA. Conclusions: Wearables employ different numbers and combinations of BCTs, which might impact their effectiveness in improving PA. To promote PA by employing wearables, we encourage researchers to develop a taxonomy specifically designed to assess BCTs incorporated in wearables. We also encourage manufacturers to customize BCTs based on the targeted populations.},
  language  = {en}
}
@article{DuekingZinnerReedetal.2020,
  author    = {D{\"u}king, Peter and Zinner, Christoph and Reed, Jennifer L. and Holmberg, Hans-Christer and Sperlich, Billy},
  title     = {Predefined vs data-guided training prescription based on autonomic nervous system variation: A systematic review},
  series = {Scandinavian Journal of Medicine \& Science in Sports},
  volume    = {30},
  journal   = {Scandinavian Journal of Medicine \& Science in Sports},
  number    = {12},
  doi       = {10.1111/sms.13802},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-217893},
  pages     = {2291 -- 2304},
  year      = {2020},
  abstract  = {Monitoring variations in the functioning of the autonomic nervous system may help personalize training of runners and provide more pronounced physiological adaptations and performance improvements. We systematically reviewed the scientific literature comparing physiological adaptations and/or improvements in performance following training based on responses of the autonomic nervous system (ie, changes in heart rate variability) and predefined training. PubMed, SPORTDiscus, and Web of Science were searched systematically in July 2019. Keywords related to endurance, running, autonomic nervous system, and training. Studies were included if they (a) involved interventions consisting predominantly of running training; (b) lasted at least 3 weeks; (c) reported pre- and post-intervention assessment of running performance and/or physiological parameters; (d) included an experimental group performing training adjusted continuously on the basis of alterations in HRV and a control group; and (e) involved healthy runners. Five studies involving six interventions and 166 participants fulfilled our inclusion criteria. Four HRV-based interventions reduced the amount of moderate- and/or high-intensity training significantly. In five interventions, improvements in performance parameters (3000 m, 5000 m, Loadmax, Tlim) were more pronounced following HRV-based training. Peak oxygen uptake (VO\(_{2peak}\)) and submaximal running parameters (eg, LT1, LT2) improved following both HRV-based and predefined training, with no clear difference in the extent of improvement in VO\(_{2peak}\). Submaximal running parameters tended to improve more following HRV-based training. Research findings to date have been limited and inconsistent. Both HRV-based and predefined training improve running performance and certain submaximal physiological adaptations, with effects of the former training tending to be greater.},
  language  = {en}
}
@inproceedings{SchwaneckGlosBofingeretal.2008,
  author    = {Schwaneck, Stefan and Glos, Michael and Bofinger, Peter and Straubhaar, Thomas and Haase, Axel and Pinkwart, Andreas and Kunze, Mario and {\"O}sterle, Irene and Seubert, Marc and Nowak, Matthias and Rosen, Holga and Steinle, Andreas and Schorr, Leander and Fichtner, Caroline and Fischl, Bernd and Wittrock, Max and G{\"u}nther, Niclas and Roth, Isabelle and Verburg, Erik and Sextl, Gerhard and Heitm{\"u}ller, Lars and M{\"u}ller, Norman and Frashek, Andr{\´e} and Stetter, Ulrich},
  title     = {Innovationen - Performancetreiber und nachhaltiger Wirtschaftsmotor in Deutschland? Festschrift zum 5. W{\"u}rzburger Wirtschaftssymposium},
  organization    = {5. W{\"u}rzburger Wirtschaftssymposium 2008},
  isbn      = {978-3-923959-58-7},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-53559},
  year      = {2008},
  abstract  = {5. W{\"u}rzburger Wirtschaftssymposium, 20.11.2008 Deutsche Erfindungen ver{\"a}ndern die Welt - heute wie vor 500 Jahren. Von Buchdruck, {\"u}ber Dieselmotor, Gl{\"u}hbirne bis hin zu Airbag, Aspirin, D{\"u}bel, Fernseher und mp3-Format. Alleine dieser bescheidene {\"U}berblick des Ph{\"a}nomens "Made in Germany" l{\"a}sst den Betrachter die Bedeutung und das Potenzial von Innovationen am Standort Deutschland schnell erkennen. Experten aus Wirtschaft, Politik und Gesellschaft setzten sich am 20.11.2008 unter der Leitfrage: "Innovationen - Performancetreiber und nachhaltiger Wirtschaftsmotor in Deutschland?" mit der Bedeutung von Innovationen f{\"u}r den Standort Deutschland auseinander. Die Festschrift rundet - neben Interviews mit und Gastbeitr{\"a}gen von Referenten der Veranstaltung - das 5. W{\"u}rzburger Wirtschaftssymposium mit Stellungnahmen und Beitr{\"a}gen renommierter Experten ab. Zu Wort kommen dabei Jungunternehmer ebenso wie Wissenschaftler der Universit{\"a}t W{\"u}rzburg und Vertreter externer Organisationen.},
  subject      = {Innovationsforschung},
  language  = {de}
}
@phdthesis{Plagens2001,
  author    = {Plagens, Manfred},
  title     = {Innovationsprozesse in der Medizintechnik in Deutschland},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-619},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2001},
  abstract  = {Diese Arbeit besch{\"a}ftigt sich mit Innovationsprozessen der medizintechnischen Industrie in Deutschland am Beispiel der bildgebenden Verfahren. Einen geeigneten Analyserahmen, um die komplexen Verflechtungen und Erfolgs-determinanten zu erfassen, bietet der Clusteransatz Michael Porters. Der Clusteransatz wird um wachstumstheoretische, polit{\"o}konomische Ans{\"a}tze erg{\"a}nzt und erweitert, um die Medizintechnikbranche quantitativ und qualitativ zu untersuchen und die Wechselwirkungen zwischen Medizintechniknetzwerk, Innovationen und staatlichem Sozialsystem in Deutschland aufzuzeigen. Es wird gekl{\"a}rt, welche Auswirkungen Innovationen f{\"u}r die medizintechnische Branche haben und welche institutionellen und politischen Bedingungen Innovationen beg{\"u}nstigen, welche wirtschaftspolitischen Handlungsempfehlungen daraus abgeleitet werden k{\"o}nnen und wie sich die Zukunft f{\"u}r diese Branche gestalten k{\"o}nnte. Kapitel 1 spezifiziert den Untersuchungsgegenstand auf die bildgebenden Verfahren. Kapitel 2 nimmt - anhand diverser Innovationsindikatoren - eine quantitative Eingruppierung der deutschen medizintechnischen Industrie vor. In Kapitel 3 werden die bislang gewonnen Erkenntnisse mit dem Clusterkonzept Porters einer qualitativen Analyse unterzogen. Es wird der Frage nachgegangen, was die Wettbewerbsf{\"a}higkeit der Medizintechnik ausmacht. Hierbei liegt ein Schwerpunkt auf den Wechselbeziehungen von Medizin-technikbranche und staatlichem Gesundheitssystem. Kapitel 4 erg{\"a}nzt die Wettbewerbsf{\"a}higkeitsanalyse um einen inter-industriellen Vergleich. Weitere international erfolgreiche deutsche Branchen werden in ihren Erfolgsfaktoren mit der Medizintechnik verglichen. Das Konzept der "Langen Wellen" pr{\"a}zisiert die Spezifika der Medizintechnikbranche. Kapitel 5 fasst die Ergebnisse der Untersuchung zusammen und gibt eine Prognose f{\"u}r die m{\"o}gliche Zukunftsentwicklung der Branche.},
  subject      = {Deutschland},
  language  = {de}
}