Carlo Dindorf

Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau | TUK · Department of Science of Sport

This study represents a medically well-supported, strongly controlled methodology supported by an experienced physician and orthopedic technician in a blinded, randomized two-group design. This RCT addresses a critical area in musculoskeletal research by evaluating two custom-made FO approaches: sensorimotor foot orthoses (SMFO) and biomechanical f...

Biomechanical data collection was largely confined to controlled laboratory setups, relying on marker-based systems or force platforms. However, the emergence of wearable sensors and markerless motion capture has revolutionized this field, enabling data collection in real-world scenarios. This shift has also sparked interest in integrating machine...

Die Trainingswissenschaft ist aus der Trainingslehre sowie aus Handlungsanleitungen erfolgreicher Trainer entstanden. Die zentralen Gegenstandsbereiche adressieren auf das motorische Training, die Leistungsfähigkeit, den Wettkampf sowie die Leistungsdiagnostik. Die Adressatengruppen reichen vom Freizeit-, Breiten-, Spitzensport bis zum Gesundheitss...

This comprehensive work explores Artificial Intelligence´s profound impact on revolutionizing how we approach sports, movement, and health. It presents a rich collection of insights, practical applications, and perspectives poised to transform these domains. Therefore, leading experts in the fields were brought together, offering diverse perspectiv...

Background: Individuals may exhibit altered foot pronation during gait when fatigue sets in. Therefore, a more evidence-based understanding of these fatigue-induced changes may be helpful for future gait analysis and return-to-play tests since fatigue can provide new insights that might explain a person's complaints. Methods: A total of 25 healthy...

Individuals working in the field of dentistry have a high prevalence of musculoskeletal disorders (MSDs) owing to monotonous and one-sided physical exertion. Inertial measurement units (IMU) are increasingly shifting into focus for assessing postural risk at work. Therefore, the present study aimed to evaluate the effects of an ergonomic lecture an...

Individuals may exhibit altered foot mechanics, in this case foot pronation, only when fatigue sets in. Therefore, a more evidence-based understanding of these fatigue-induced changes may be helpful for future gait analysis and return to play tests, since fatigue could provide new insights that might explain a person’s complaints. Methods: 25 healt...

Weak posture is a widely recognized problem affecting individuals of all ages, that can lead to back pain, which is a significant socio-economic burden in civil societies. Posture assessment enables the early detection of postural deficiencies, thus enabling proactive interventions. Therefore, it is an important tool for promoting public health, no...

Competitive climbers engage in highly structured training regimens to achieve peak performance levels, with efficient time management as a critical aspect. Neuromuscular electrical stimulation (NMES) training can close the gap between time-efficient conditioning training and achieving optimal prerequisites for peak climbing-specific performances. T...

Interdisciplinary teaching approaches have gained significant importance in today’s educational landscape. Among these approaches, decision-making competence plays a pivotal role by nurturing critical thinking and problem-solving skills. Focusing on the decision-making process regarding the sensibility of using sugar-substitutes, this study address...

Der Beitrag umfasst unter anderem die Vor- und Nachteile der KI-Nutzung in Lehre, Forschung und wissenschaftlicher Qualifikation, wobei ethische, datenschutzrechtliche und methodische Aspekte herausgestellt werden. Schließlich werden Implikationen für den wissenschaftlichen Nachwuchs aufgezeigt, indem die Notwendigkeit einer kritischen Auseinanders...

Objective: Biomechanical Machine Learning (ML) models, particularly deep-learning models, demonstrate the best performance when trained using extensive datasets. However, biomechanical data are frequently limited due to diverse challenges. Effective methods for augmenting data in developing ML models, specifically in the human posture domain, are s...

1) Background: Occupational fatigue is a primary factor leading to work-related mus-culoskeletal disorders (WRMSDs). Kinematic and kinetic experimental studies have been able to identify indicators of WRMSD, but research addressing real-world workplace scenarios is lacking. Hence, the authors of this study aimed to assess the influence of physical...

(1) Background: Mobile movement analysis systems, for example, those based on Inertial Measurement Units (IMUs), enable digital real-time methods of collecting data in workplace ergonomics, but the relationship between observational method scores such as Rapid Upper Limb Assessment (RULA), upper-body posture, and their influence on musculoskeletal...

The correction of postural weaknesses through the better positioning of the pelvis is an important approach in sports therapy and physiotherapy. The pelvic position in the sagittal plane is largely dependent on the muscular balance of the ventral and dorsal muscle groups. The aim of this exploratory study was to examine whether healthy persons use...

This study investigates the intricate dynamics of rank-order stability by examining the current-to-final rank difference (CFRD) during 24-hour cycling races, especially how different team sizes and performance levels contribute to the temporal trends in CFRD. A comprehensive dataset covering five consecutive years (2019-2023) of a 24-hour cycling r...

The use of single supplements to enhance performance is widespread among athletes. The aim of this study was to increase knowledge about the combined effects of caffeine and New Zealand blackcurrant (NZBC) dietary supplements. In this counterbalanced alternating treatment single-case design, two participants each underwent four phases of four sessi...

The sport of climbing is booming and is also making its way into higher education curricula. In the context of aiming to create optimal conditions for both learning success and socioemotional well-being, the well-being of students plays a crucial role in conducting a climbing excursion. To what extent changes in psychological well-being occur durin...

Objectives Fatigue can decrease knee stability and increase the injury risk. However, fatigue is rarely being applied throughout movement analysis. The aim of this study was to investigate if the knee stability throughout SLDLs differ between cyclic and acyclic sports, before and after fatigue in general, and between the dominant and non-dominant l...

Vor dem Hintergrund einer sich rasant ändernden, zunehmend digitalisierten und auf Interdisziplinarität ausgelegten Berufswelt erarbeitet das Projekt Sportistry fächerübergreifende, innovative Lehr-Lern-konzepte zum Themenfeld „Ernährung und Energiebereitstellung im menschlichen Körper“ aus sportwissenschaftlicher, gesundheitlicher und chemischer S...

Basierend auf der zunehmenden Digitalisierung und Interdisziplinarität der Berufswelt, werden im Projekt Sportistry die Grundlagen zur Ernährung und Energiebereitstellung im menschlichen Körper multiperspektivisch aus chemischer, sportwissenschaftlicher und gesundswissenschaftlicher Sicht betrachtet und die Inhalte auf der Basis eines fächer-übergr...

Wissenschaftlerinnen und Wissenschaftler, Trainerinnen und Trainer und alle am Sport interessierte stehen heutzutage vor der zentralen Herausforderung bewegungs-, sport- und gesundheitsbezogene Daten adäquat zu analysieren und deren Potentiale bestmöglich zu nutzen. Mit dem essential wird anschaulich gezeigt, warum Methoden aus dem Bereich der Küns...

This pilot study aimed to investigate the use of sensorimotor insoles in pain reduction, different orthopedic indications, and the wearing duration effects on the development of pain. Three hundred and forty patients were asked about their pain perception using a visual analog scale (VAS) in a pre-post analysis. Three main intervention durations we...

Digitalisierung, Big-Data und Künstliche Intelligenz (KI) durchdringen zunehmend weite Teile der Gesellschaft und somit auch den Sport in Theorie und Praxis. Dabei erfahren die meisten Sportstudierenden aktuell wenig bis keine Ausbildung in diesem zukunftsträchtigen Themenbereich. Diesem Umstand geschuldet, werden im Fachgebiet Sportwissenschaft d...

Postural deficits such as hyperlordosis (hollow back) or hyperkyphosis (hunchback) are relevant health issues. Diagnoses depend on the experience of the examiner and are, therefore, often subjective and prone to errors. Machine learning (ML) methods in combination with explainable artificial intelligence (XAI) tools have proven useful for providing...

The use of isolated supplements to enhance performance is widespread among athletes. The aim of this study was to increase knowledge about the combined effects of caffeine and New Zealand blackcurrant (NZBC) dietary supplements. In this study, two subjects each underwent four phases of four sessions in a double-blind and randomized alternating trea...

Postural deficits such as hyperlordosis (hollow back) or hyperkyphosis (hunchback) are relevant health issues. Diagnoses depend on the experience of the examiner and are therefore often subjective and prone to errors. Machine learning (ML) methods in combination with explainable artificial intelligence (XAI) tools have proven useful for providing a...

Poor posture is a well-known problem in all age groups and can lead to back pain, which in turn can result in high socioeconomic costs. Regular assessment of posture can therefore help to identify postural deficits at an early stage in order to take preventive measures and can therefore be an important tool for promoting public health. We measured...

Although the influence of muscle activity on the pelvic position has been proven, research on the influence of (asymmetric) muscle fatigue on the pelvic position is inconsistent. The purpose of the present study was to assess the effects of asymmetric fatigue of the lateral trunk muscles on the pelvic position based on a pre/post/follow-up design....

The objectification of acute fatigue (during isometric muscle contraction) and cumulative fatigue (due to multiple intermittent isometric muscle contractions) plays an important role in sport climbing. The data of 42 participants were used in the study. Climbing performance was operationalized using maximal climbing-specific holding time (CSHT) by...

Artificial intelligence and its subcategories of machine learning and deep learning are gaining increasing importance and attention in the context of sports research. This has also meant that the number of corresponding publications has become complex and unmanageably large in human terms. In the current state of the research field, there is a lack...

In this study, we propose to expand the research on the biomechanics of cycling, including changes caused by riding at different intensity levels and fatigue, similar to training or competition. Six well-trained, experienced male road cyclists (27.17 ± 3.89 years; 180.41 ± 5.31 cm; 75.23 ± 4.91 kg) with 8.3 ± 4.85 years of (professional) experience...

Artificial intelligence and its subcategories of machine learning and deep learning are gaining increasing importance and attention in the context of sports research. This has also meant that the number of corresponding publications has become complex and unmanageably large in human terms. In the current state of the research field, there is a lack...

Handgrip strength (HGS) appears to be an indicator of climbing performance. The trans-ferability of HGS measurements obtained using a hand dynamometer and factors that influence the maximal climbing-specific holding time (CSHT) are largely unclear. Forty-eight healthy subjects (27 female, 21 male; age: 22.46 ± 3.17 years; height: 172.76 ± 8.91 cm;...

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, feedback-supported online training programme could improve posture parameters...

Lehrformate der Sportwissenschaft an der TU Kaiserslautern orientieren sich am Grundgedanken einer forschungsorientierten Lehre (Reimann, 2016). Drei fachgebietseigenen Laboren kommt dabei eine Schlüsselrolle beim praktischen und fachwissenschaftlichen Kompetenzerwerb zu. Diese Lehr-Lern-Labore stehenden den Studierenden aus den Studiengängen B.Ed....

Monitoring exhaustion using near-infrared spectroscopy (NIRS) wearable biosensors seems promising in sports climbing. However, there is a lack of research regarding climbing specific muscular exhaustion and muscle oxidative metabolism. The current study analyses how exhaustion affects muscle oxidative metabolism and deduces to what extent measurem...

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...

Bike fitting can have a major impact on the performance of cyclists (Bateman, 2014) and can reduces the risk of non-traumatic injuries (Bini et al., 2011). This study shows significant changes in lower body biomechanics of road-cyclists while and after fatigue and therefore expands the research in a more practical way. These findings indicate to ex...

To improve the performance and capabilities of athletes, augmented reality could play an important role in exercise training. During training, these technologies support athletes in analyzing their training over all phases. Regardless of all potential advantages, the vergence-accommodation-conflict (VAC) could affect the effectiveness of training a...

We perform measurements in the motion lab, which we process and analyze, with the goal to define a minimum set of tests that are needed to parametrize a digital human model actuated via muscle torque generators, and capable to perform task independent simulations.

Die Synopsis setzt sich auseinander mit dem Einsatz von Künstlicher Intelligenz (Maschinelles Lernen) im Kontext biomechanischer Daten. Potentiale der Methoden werden herausgearbeitet und ausgewählte praxisrelevante Limitationen anhand von fünf Publikationen adressiert. Unter anderem können durch Verwendung von Ensemble Feature Selection, Explainab...

Surface topography systems enable the capture of spinal dynamic movement. A visualization of possible unique movement patterns appears to be difficult due to large intra-class and small inter-class variabilities. Therefore, we investigated a visualization approach using Siamese neural networks (SNN) and checked, if the identification of individuals...

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...

Using Surface Topography data of stance measurements this study classifies 25 healthy subjects and 32 subjects with back pain using machine learning algorithms (Logistic Regression, Support Vector Machine, Random Forest). Different metric learning approaches (Neighborhood Components Analysis, Local Fisher Discriminant Analysis, Large Margin Nearest...

Using Surface Topography data of stance measurements this study classifies healthy subjects and subjects with back pain using machine learning alorithms. Interpretations are performed using Explainable Artificial Intelligence (XAI). A low correlation between predicted class and actual class is found.

Surface topography systems enable the capture of spinal dynamic movement; however, it is unclear whether vertebral dynamics are unique enough to identify individuals. Therefore, in this study, we investigated whether the identification of individuals is possible based on dynamic spinal data. Three different data representations were compared (autom...

Clinical classification models are mostly pathology-dependent and, thus, are only able to detect pathologies they have been trained for. Research is needed regarding pathology-independent classifiers and their interpretation. Hence, our aim is to develop a pathology-independent classifier that provides prediction probabilities and explanations of t...

Using Surface Topography data of stance measurements this study classifies healthy subjects and subjects with back pain using machine learning alorithms. Interpretations are performed using Explainable Artificial Intelligence (XAI). A low correlation between predicted class and actual class is found.

Background Machine learning approaches for the classification of pathological gait based on kinematic data, e.g. derived from inertial sensors, are commonly used in terms of a multi-class classification problem. However, there is a lack of research regarding one-class classifiers that are independent of certain pathologies. Therefore, it was the ai...

Der Einsatz von künstlicher Intelligenz (KI) in medizinischen Kontexten gewinnt zunehmend an Bedeutung. Vielversprechende Ergebnisse konnten in unterschiedlichen Bereichen erzielt werden. Ein zukunftsweisender Anwendungsbereich stellt die Bewegungsanalyse dar. Besondere Gesundheitsrelevanz kommt hierbei dem Rückenschmerz zu. Ein tiefergehendes Vers...

Study aim: To find out, without relying on gait-specific assumptions or prior knowledge, which parameters are most important for the description of asymmetrical gait in patients after total hip arthroplasty (THA). Material and methods: The gait of 22 patients after THA was recorded using an optical motion capture system. The waveform data of the ma...

Hintergrund: Die Positionierung des Beckens im Raum beeinflusst die Haltung des Rumpfes entscheidend, da sie die mechanische Basis für die Wirbelsäule darstellt. Die Beckenstellung wiederum ist durch biomechanische, artikuläre sowie neuromuskuläre Faktoren bestimmt. Eine bedeutende Zahl pathologischer Entitäten resultiert aus Veränderungen der Beck...

In ihrem 50. Jubiläumsjahr lud die Technische Universität Kaiserslautern am 26. und 27. November 2020 zu einem Höhepunkt ein: dem Kongress #Sport #Gesundheit #Digital. Für zwei Tage wurden im Rahmen eines Online-Forums gemeinsam die Themenfelder Sport, Gesundheit und Digitalisierung diskutiert. Wir freuen uns sehr, dass die Techniker Krankenkasse d...

Einleitung: Der Einsatz Maschinellen Lernens (ML) bzw. Künstlicher Intelligenz hat in den letzten Jahren bei der Analyse von komplexen biomechanischen Daten zunehmend an Bedeutung gewonnen. Eine Vielzahl an Studien konnte vielversprechende Ergebnisse für die Klassifikation pathologischen Gangs erzielen (z.B. Hüftarthrose: Laroche et al., 2014; Park...

Modern technologies enable to capture multiple biomechanical parameters often resulting in relational data. The current work proposes a generally applicable method comprising automated feature extraction, ensemble feature selection and classification to best capture the potentials of the data also for generating new biomechanical knowledge. Its ben...

Many machine learning models show black box characteristics and, therefore, a lack of transparency, interpretability, and trustworthiness. This strongly limits their practical application in clinical contexts. For overcoming these limitations, Explainable Artificial Intelligence (XAI) has shown promising results. The current study examined the infl...

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Einleitung: Asymmetrische Gangmuster nach totaler Hüftgelenksendoprothetik (THA) sind ein potenzieller Risikofaktor [1]. Eine automatische Klassifizierung der operierten Hüfte könnte Aufschluss über diskriminierende Variablen geben und ist daher von klinischer Relevanz. Ein datenbasierter Ansatz, der auf Gangtrajektorien basiert, könnte nützlich se...

Die Trainingswissenschaft rekurriert in ihrem Selbstverständnis auf einen eher offenen Trainingsbegriff. Inwieweit diese offene Betrachtung mit dem Verständnis der Sportpraxis übereinstimmt und in Abhängigkeit verschiedener Determinanten einerseits und in unterschiedlichen Kontexten und Anwendungsfeldern andererseits Training als relevant wahrgenom...

Separate from the field-specific definition of the German term ‘training’ in training science, there is an everyday understanding which is rarely empirically described. Therefore, this study will analyze (1) the relationship between personal characteristics and the subject-related importance of training, (2) the assigned relevance of training in va...