38 research outputs found
Effects of Feedback-Supported Online Training during the Coronavirus Lockdown on Posture in Children and Adolescents
(1) Background. The coronavirus pandemic had a serious impact on the everyday life of
children and young people with sometimes drastic effects on daily physical activity time that could
have led to posture imbalances. The aim of the study was to examine whether a six-week, feedbacksupported online training programme could improve posture parameters in young soccer players.
(2) Methods. Data of 170 adolescent soccer players (age 15.6 ± 1.6 years) were analyzed. A total of
86 soccer players of a youth academy participated in an online training program that included eight
exercises twice per week for 45 min (Zoom group). The participantsâ exercise execution could be
monitored and corrected via smartphone or laptop camera. Before and after the training intervention,
participantsâ posture was assessed using photographic analysis. The changes of relevant posture
parameters (perpendicular positions of ear, shoulder and hips, pelvic tilt, trunk tilt and sacral angle)
were statistically tested by robust mixed ANOVA using trimmed means. Postural parameters were
also assessed post hoc at 8-week intervals in a control group of 84 participants of the same age.
(3) Results. We found a statistically significant interaction (p < 0.05) between time and group for trunk
tilt, head and shoulder protrusion and for hip anteversion in the Zoom group. No changes were
found for these parameters in the control group. For pelvic tilt no significant changes were found.
(4) Conclusions. Feedback-based online training with two 45 min sessions per week can improve
postural parameters in adolescent soccer players over a period of six weeks
Visualization of interindividual differences in spinal dynamics in the presence of intraindividual variabilities
Surface topography systems enable the capture of
spinal dynamic movement. A visualization of possible unique
movement patterns appears to be difficult due to large intraclass and small inter-class variabilities. Therefore, we investigated
a visualization approach using Siamese neural networks (SNN)
and checked, if the identification of individuals is possible based
on dynamic spinal data. The presented visualization approach
seems promising in visualizing subjects in the presence of
intraindividual variability between different gait cycles as well
as day-to-day variability. Overall, the results indicate a possible
existence of a personal spinal âfingerprintâ. The work forms the
basis for an objective comparison of subjects and the transfer of
the method to clinical use cases
Effects of Unilateral Muscle Fatigue on Thermographic Skin Surface Temperature of Back and Abdominal Muscles—A Pilot Study
The present study aimed to assess the effects of asymmetric muscle fatigue on the skin surface temperature of abdominal and back muscles. The study was based on a pre-post/follow-up design with one group and included a total of 41 subjects (22 male, 19 female; age, 22.63 ± 3.91; weight, 71.89 ± 12.97 kg; height, 173.36 ± 9.95). All the participants were asked to perform side bends in sets of 20 repetitions on a Roman chair until complete exhaustion. The pre-, post- and follow-up test (24 h after) skin surface temperatures were recorded with infrared thermography. Subjective muscle soreness and muscle fatigue were analyzed using two questionnaires. The results of the post hoc tests showed that skin temperature was statistically significantly lower in the post-tests than in the pre- and follow-up tests, but no meaningful differences existed between the pre- and follow-up tests. Asymmetric side differences were found in the post-test for the upper and lower areas of the back. Differences were also noted for the front in both the upper and lower areas. No thermographic side asymmetries were found at the pre- or follow-up measurement for either the back or the front. Our results support the potential of using thermographic skin surface temperature to monitor exercise and recovery in athletes, as well as its use in rehabilitational exercise selection
Auf dem Weg zu interpretierbaren, KI-basierten, explorativen und entscheidungsunterstĂŒtzenden Systemen im Kontext biomechanischer Daten
Die Synopsis setzt sich auseinander mit dem Einsatz von KĂŒnstlicher Intelligenz (Maschinelles Lernen) im Kontext biomechanischer Daten. Potentiale der Methoden werden herausgearbeitet und ausgewĂ€hlte praxisrelevante Limitationen anhand von fĂŒnf Publikationen adressiert. Unter anderem können durch Verwendung von Ensemble Feature Selection, Explainable Artificial Intelligence und Metric Learning sowie die Entwicklung eines pathologieunabhĂ€ngigen Klassifikators vielversprechende Perspektiven aufgezeigt werden
Auf dem Weg zu interpretierbaren, KI-basierten, explorativen und entscheidungsunterstĂŒtzenden Systemen im Kontext biomechanischer Daten
Die Synopsis setzt sich auseinander mit dem Einsatz von KĂŒnstlicher Intelligenz (Maschinelles Lernen) im Kontext biomechanischer Daten. Potentiale der Methoden werden herausgearbeitet und ausgewĂ€hlte praxisrelevante Limitationen anhand von fĂŒnf Publikationen adressiert. Unter anderem können durch Verwendung von Ensemble Feature Selection, Explainable Artificial Intelligence und Metric Learning sowie die Entwicklung eines pathologieunabhĂ€ngigen Klassifikators vielversprechende Perspektiven aufgezeigt werden
Effects of Unilateral Muscle Fatigue on Thermographic Skin Surface Temperature of Back and Abdominal MusclesâA Pilot Study
The present study aimed to assess the effects of asymmetric muscle fatigue on the skin surface temperature of abdominal and back muscles. The study was based on a pre-post/follow-up design with one group and included a total of 41 subjects (22 male, 19 female; age, 22.63 ± 3.91; weight, 71.89 ± 12.97 kg; height, 173.36 ± 9.95). All the participants were asked to perform side bends in sets of 20 repetitions on a Roman chair until complete exhaustion. The pre-, post- and follow-up test (24 h after) skin surface temperatures were recorded with infrared thermography. Subjective muscle soreness and muscle fatigue were analyzed using two questionnaires. The results of the post hoc tests showed that skin temperature was statistically signiïŹcantly lower in the post-tests than in the pre- and follow-up tests, but no meaningful differences existed between the pre- and follow-up tests. Asymmetric side differences were found in the post-test for the upper and lower areas of the back. Differences were also noted for the front in both the upper and lower areas. No thermographic side asymmetries were found at the pre- or follow-up measurement for either the back or the front. Our results support the potential of using thermographic skin surface temperature to monitor exercise and recovery in athletes, as well as its use in rehabilitational exercise selection
Non-invasive technologies for detecting asymmetric muscle fatigue
Early detection of unilateral muscle fatigue and muscular imbalances is important to prevent injury. This study aimed to evaluate the potential of near-infrared thermography (IRT) and raster-stereography (RS) in detecting asymmetries. After unilateral trunk muscle fatigue, IRT detected changes in the skin surface temperature only immediately after exercise, while RS data showed no statistically significant changes.Die frĂŒhzeitige Erkennung von einseitiger MuskelermĂŒdung und muskulĂ€ren Ungleichgewichten ist wichtig, um Verletzungen vorzubeugen. Ziel dieser Studie war es, das Potenzial der Nahinfrarot-Thermografie (IRT) und der Rasterstereografie (RS) bei der Erkennung von Asymmetrien zu bewerten. Nach einseitiger ErmĂŒdung der Rumpfmuskulatur wurden mit der IRT VerĂ€nderungen der HautoberflĂ€chentemperatur nur unmittelbar nach der Belastung festgestellt, wĂ€hrend die RS-Daten keine statistisch signifikanten VerĂ€nderungen zeigten
Practical studies on bike fitting - A biomechanical and physiological analysis under the influence of fatigue
Bike fitting can have a major impact on the performance of cyclists and can reduce the risk of non-traumatic injuries. This study shows significant changes in lower body biomechanics of road cyclists during and after fatigue and therefore expands the research from a more practical view. These findings support the expansion of future research using sensor-based analyses of road cycling (e.g., IMUs, oxygen saturation).Die Einstellung des Fahrrads kann einen groĂen Einfluss auf die Leistung von Radfahrern haben und das Risiko nichttraumatischer Verletzungen verringern. Diese Studie zeigt signifikante VerĂ€nderungen in der Biomechanik des Unterkörpers von Rennradfahrern wĂ€hrend und nach der ErmĂŒdung und erweitert damit die Forschung aus einer eher praktischen Sicht. Diese Ergebnisse unterstĂŒtzen die Ausweitung zukĂŒnftiger Forschung unter Verwendung sensorbasierter Analysen des StraĂenradsports (z. B. IMUs, SauerstoffsĂ€ttigung)
Non-invasive technologies for detecting asymmetric muscle fatigue
Early detection of unilateral muscle fatigue and muscular imbalances is important to prevent injury. This study aimed to evaluate the potential of near-infrared thermography (IRT) and raster-stereography (RS) in detecting asymmetries. After unilateral trunk muscle fatigue, IRT detected changes in the skin surface temperature only immediately after exercise, while RS data showed no statistically significant changes.Die frĂŒhzeitige Erkennung von einseitiger MuskelermĂŒdung und muskulĂ€ren Ungleichgewichten ist wichtig, um Verletzungen vorzubeugen. Ziel dieser Studie war es, das Potenzial der Nahinfrarot-Thermografie (IRT) und der Rasterstereografie (RS) bei der Erkennung von Asymmetrien zu bewerten. Nach einseitiger ErmĂŒdung der Rumpfmuskulatur wurden mit der IRT VerĂ€nderungen der HautoberflĂ€chentemperatur nur unmittelbar nach der Belastung festgestellt, wĂ€hrend die RS-Daten keine statistisch signifikanten VerĂ€nderungen zeigten
Effects of Unilateral Muscle Fatigue on Thermographic Skin Surface Temperature of Back and Abdominal MusclesâA Pilot Study
The present study aimed to assess the effects of asymmetric muscle fatigue on the skin surface temperature of abdominal and back muscles. The study was based on a pre-post/follow-up design with one group and included a total of 41 subjects (22 male, 19 female; age, 22.63 ± 3.91; weight, 71.89 ± 12.97 kg; height, 173.36 ± 9.95). All the participants were asked to perform side bends in sets of 20 repetitions on a Roman chair until complete exhaustion. The pre-, post- and follow-up test (24 h after) skin surface temperatures were recorded with infrared thermography. Subjective muscle soreness and muscle fatigue were analyzed using two questionnaires. The results of the post hoc tests showed that skin temperature was statistically signiïŹcantly lower in the post-tests than in the pre- and follow-up tests, but no meaningful differences existed between the pre- and follow-up tests. Asymmetric side differences were found in the post-test for the upper and lower areas of the back. Differences were also noted for the front in both the upper and lower areas. No thermographic side asymmetries were found at the pre- or follow-up measurement for either the back or the front. Our results support the potential of using thermographic skin surface temperature to monitor exercise and recovery in athletes, as well as its use in rehabilitational exercise selection