- Sports Performance and Training
- Cardiovascular and exercise physiology
- Physical Activity and Health
- Sports injuries and prevention
- Cardiovascular Effects of Exercise
- Heart Rate Variability and Autonomic Control
- Non-Invasive Vital Sign Monitoring
- Genetics and Physical Performance
- Exercise and Physiological Responses
- Behavioral Health and Interventions
- Sports Dynamics and Biomechanics
- Innovative Human-Technology Interaction
- Obesity, Physical Activity, Diet
- Muscle activation and electromyography studies
- Ergonomics and Musculoskeletal Disorders
- Sport Psychology and Performance
- Body Composition Measurement Techniques
- High Altitude and Hypoxia
- Digital Innovation in Industries
- Thermoregulation and physiological responses
- Sports Science and Education
- Winter Sports Injuries and Performance
- Mobile Health and mHealth Applications
- Advanced Sensor and Energy Harvesting Materials
- Educational Games and Gamification
Technische Universität Braunschweig
2023-2025
University of Würzburg
2015-2023
Mid Sweden University
2017-2018
Institute for Sports Medicine
2016-2017
Background: In the past years, there was an increasing development of physical activity tracker (Wearables). For recreational people, testing these devices under walking or light jogging conditions might be sufficient. (elite) athletes, however, scientific trustworthiness needs to given for a broad spectrum velocities even fast changes in reflecting demands sport. Therefore, aim evaluate validity eleven Wearables monitoring step count, covered distance and energy expenditure (EE) laboratory...
Although it is becoming increasingly popular to monitor parameters related training, recovery, and health with wearable sensor technology (wearables), scientific evaluation of the reliability, sensitivity, validity such data limited and, where available, has involved a wide variety approaches. To improve trustworthiness collected by wearables facilitate comparisons, we have outlined recommendations for standardized evaluation. We discuss devices themselves, as well experimental statistical...
OPINION article Front. Physiol., 05 March 2018Sec. Exercise Physiology Volume 9 - 2018 | https://doi.org/10.3389/fphys.2018.00128
Physical activity reduces the incidences of noncommunicable diseases, obesity, and mortality, but an inactive lifestyle is becoming increasingly common. Innovative approaches to monitor promote physical are warranted. While individual monitoring aids in design effective interventions enhance activity, a basic prerequisite that devices exhibit high validity.Our goal was assess validity heart rate (HR) energy expenditure (EE) while sitting or performing light-to-vigorous with 4 popular...
ChatGPT may be used by runners to generate training plans enhance performance or health aspects. However, the quality of generated based on different input information is unknown. The objective study was evaluate ChatGPT-generated six-week for granularity. Three were using 22 criteria drawn from literature and coaching experts a 1-5 Likert Scale. A Friedmann test assessed significant differences in between plans. For 1, 2 3, median rating <3 given 19, 11, 1 times, 3 5, 8 times >3 0, 6, 13...
Athletes schedule their training and recovery in periods, often utilizing a pre-defined strategy. To avoid underperformance and/or compromised health, the external load during should take into account individual's physiological perceptual responses. No single variable provides an adequate basis for planning, but continuous monitoring of combination several indicators internal training, off-training as well may allow individual responsive adjustments program effective manner. From practical...
Decreasing levels of physical activity (PA) increase the incidences noncommunicable diseases, obesity, and mortality. To counteract these developments, interventions aiming to PA are urgently needed. Mobile health (mHealth) solutions such as wearable sensors (wearables) may assist with an improvement in PA.The aim this study is examine which behavior change techniques (BCTs) incorporated currently available commercial high-end wearables that target users' behavior.The BCTs 5 different (Apple...
The identification of back muscle dysfunction is a prerequisite for successful rehabilitation. Therefore, surface electromyography can be used diagnostic and evaluative purposes. However, data quality highly depends on a) variance inaccuracies in methodological procedures b) time-dependent changes, particularly complex conditions such as chronic low pain. To assess intra-day, short-term long-term reliability protocol designed electromyographic measurements the paraspinal muscles. Three...
<sec> <title>BACKGROUND</title> Inadequate sleep is prevalent among athletes, affecting adaption to training and performance. While education on factors influencing can improve behaviors, Large Language Models (LLMs) may offer a scalable approach provide athletes. </sec> <title>OBJECTIVE</title> This study aims i) investigate the quality of recommendations generated by publicly available LLMs, as evaluated experienced raters, ii) determine whether varies with information input granularity....
Due to inter-and intra-individual variability in acute and chronic response at cellular organ level 1,2 , individuals receive different health performance benefits from exercise procedures [3][4][5][6] . Individualization of can be considered as one important aspect if optimal should achieved by procedures. Decisions on individualization aspects (e.g. intensity zones) performed e.g. based data obtained costly, one-time laboratorybased measurements highly experienced personal. However, such...
In this discussion paper based on preliminary data, the safety and other quality criteria of ChatGPT-4o-generated exercise plans for patients with type 2 diabetes mellitus (T2DM) are evaluated. The study team created three fictional patient profiles varying in sex, age, body mass index, secondary diseases/complications, medication, self-rated physical fitness, weekly routine personal preferences. Three distinct prompts were used to generate each patient. While Prompt 1 was very simple, 3...
OPINION article Front. Physiol., 03 April 2017Sec. Exercise Physiology Volume 8 - 2017 | https://doi.org/10.3389/fphys.2017.00167
Background A variety of wearable sensor technologies (herein referred to as “wearables”) are being developed by an ever-increasing number companies and receiving considerable attention from the athletic community. Wearables can be defined small, lightweight devices worn on, close to, or even in body where they monitor, analyze, transmit, and/or receive data other cloud services provide biofeedback real time user (1). used a wide range individuals engaged activities daily living training...
Purpose: To determine the reliability, usefulness, and validity of 3 different change-of-direction tests on a SpeedCourt (SC CODT ) in team-sport players. Methods: For reliability 30 players (16 female 14 male; age 19 ± y, height 169 cm, body mass 70 11 kg) performed SC s differing duration (7–45 s) occasions 1 wk apart. The total sprint times (TT) time to change direction (TCD) were analyzed for each . validity, Illinois Agility Test (IAT) 505 test separate occasion. Results: TT all is...
Abstract Peak oxygen uptake (˙VO2peak) is an important factor contributing to running performance. Wearable technology may allow the assessment of ˙VO2peak more frequently and on a larger scale. We aim i) validate assessed by smartwatch (Garmin Forerunner 245), ii) discuss how this parameter assist evaluate guide training procedures. A total 23 runners (12 female, 11 male; ˙VO2peak: 48.6±6.8 ml∙min−1∙kg−1) visited laboratory twice determine their during treadmill ramp test. Between visits,...
The aims of this study were to assess (1) the day-to-day variability in, and (2) magnitude time-course adaptation physiological parameters (i.e., maximal oxygen uptake [VO2 max], heart rate [HR], blood lactate concentration, respiratory exchange ratio [RER], ratings perceived exertion [RPE], time-to-exhaustion [TTE]) in response an intervention involving three incremental ramp tests per week for 9 weeks.Twelve participants (25 ± 4 yrs, VO2 max, 47.8 5.2 mL∙min-1 ∙kg-1 (means SD)) completed...
Here, we performed a non-systematic analysis of the strength, weaknesses, opportunities, and threats (SWOT) associated with application artificial intelligence to sports research, coaching optimization athletic performance. The strength AI regards applied performance involve automation time-consuming tasks, processing large amounts data, recognition complex patterns relationships. However, it is also essential be aware weaknesses integration into this field. For instance, imperative that...