Refine
Year of publication
- 2020 (2803) (remove)
Document Type
- Article (1711)
- Postprint (311)
- Doctoral Thesis (234)
- Part of a Book (209)
- Monograph/Edited Volume (106)
- Review (78)
- Other (42)
- Part of Periodical (26)
- Conference Proceeding (24)
- Working Paper (15)
Language
Keywords
- climate change (24)
- Germany (19)
- random point processes (19)
- statistical mechanics (19)
- stochastic analysis (19)
- machine learning (18)
- diffusion (17)
- dynamics (13)
- model (12)
- prediction (12)
Institute
- Institut für Biochemie und Biologie (250)
- Institut für Physik und Astronomie (246)
- Institut für Geowissenschaften (205)
- Institut für Chemie (153)
- Bürgerliches Recht (148)
- Historisches Institut (142)
- Department Psychologie (101)
- Institut für Umweltwissenschaften und Geographie (98)
- Institut für Mathematik (90)
- Fachgruppe Politik- & Verwaltungswissenschaft (86)
- Institut für Ernährungswissenschaft (84)
- Department Sport- und Gesundheitswissenschaften (83)
- Institut für Romanistik (80)
- Fachgruppe Betriebswirtschaftslehre (76)
- Department Linguistik (72)
- Öffentliches Recht (66)
- Wirtschaftswissenschaften (58)
- Institut für Germanistik (54)
- Strukturbereich Kognitionswissenschaften (52)
- Strafrecht (48)
- Extern (42)
- Hasso-Plattner-Institut für Digital Engineering GmbH (42)
- Hasso-Plattner-Institut für Digital Engineering gGmbH (41)
- Institut für Künste und Medien (39)
- Institut für Jüdische Theologie (34)
- Sozialwissenschaften (33)
- Institut für Jüdische Studien und Religionswissenschaft (32)
- Vereinigung für Jüdische Studien e. V. (30)
- Department Erziehungswissenschaft (28)
- Wirtschafts- und Sozialwissenschaftliche Fakultät (28)
- Institut für Informatik und Computational Science (27)
- Institut für Anglistik und Amerikanistik (26)
- Institut für Philosophie (25)
- Mathematisch-Naturwissenschaftliche Fakultät (24)
- Fachgruppe Volkswirtschaftslehre (23)
- MenschenRechtsZentrum (22)
- Humanwissenschaftliche Fakultät (21)
- Fachgruppe Soziologie (19)
- Verband für Patholinguistik e. V. (vpl) (18)
- Department Musik und Kunst (14)
- Kommunalwissenschaftliches Institut (13)
- Strukturbereich Bildungswissenschaften (12)
- Zentrum für Qualitätsentwicklung in Lehre und Studium (ZfQ) (12)
- Department für Inklusionspädagogik (11)
- Philosophische Fakultät (10)
- Center for Economic Policy Analysis (CEPA) (9)
- Klassische Philologie (9)
- Referat für Presse- und Öffentlichkeitsarbeit (9)
- Fakultät für Gesundheitswissenschaften (8)
- Institut für Slavistik (8)
- Universitätsbibliothek (7)
- Institut für Lebensgestaltung-Ethik-Religionskunde (6)
- Lehreinheit für Wirtschafts-Arbeit-Technik (6)
- Berlin Potsdam Research Group "The International Rule of Law - Rise or Decline?" (5)
- Department Grundschulpädagogik (5)
- WeltTrends e.V. Potsdam (5)
- Hochschulambulanz (4)
- Zentrum für Lehrerbildung und Bildungsforschung (ZeLB) (4)
- Juristische Fakultät (3)
- Potsdam Institute for Climate Impact Research (PIK) e. V. (3)
- eLiS - E-Learning in Studienbereichen (3)
- Akademie für Psychotherapie und Interventionsforschung GmbH (2)
- Deutsches MEGA-Konsortialbüro an der Universität Potsdam (2)
- Institut für Religionswissenschaft (2)
- Interdisziplinäres Zentrum für Kognitive Studien (2)
- Kommissionen des Senats (2)
- Patholinguistics/Neurocognition of Language (2)
- Senat (2)
- Zentrum für Sprachen und Schlüsselkompetenzen (Zessko) (2)
- Abraham Geiger Kolleg gGmbH (1)
- Career Service (1)
- DV und Statistik Wirtschaftswissenschaften (1)
- Digital Engineering Fakultät (1)
- Moses Mendelssohn Zentrum für europäisch-jüdische Studien e. V. (1)
- Potsdam Graduate School (1)
- Präsident | Vizepräsidenten (1)
- Syntax, Morphology & Variability (1)
- Theodor-Fontane-Archiv (1)
- Zentrum für Umweltwissenschaften (1)
How We Found Our IMU
(2020)
Inertial measurement units (IMUs) are commonly used for localization or movement tracking in pervasive healthcare-related studies, and gait analysis is one of the most often studied topics using IMUs. The increasing variety of commercially available IMU devices offers convenience by combining the sensor modalities and simplifies the data collection procedures. However, selecting the most suitable IMU device for a certain use case is increasingly challenging. In this study, guidelines for IMU selection are proposed. In particular, seven IMUs were compared in terms of their specifications, data collection procedures, and raw data quality. Data collected from the IMUs were then analyzed by a gait analysis algorithm. The difference in accuracy of the calculated gait parameters between the IMUs could be used to retrace the issues in raw data, such as acceleration range or sensor calibration. Based on our algorithm, we were able to identify the best-suited IMUs for our needs. This study provides an overview of how to select the IMUs based on the area of study with concrete examples, and gives insights into the features of seven commercial IMUs using real data.
Sprint and jump performances in highly trained young soccer players of different chronological age
(2020)
Objective
The aim of this study was to examine the effects of two different sprint-training regimes on sprint and jump performances according to age in elite young male soccer players over the course of one soccer season.
Methods
Players were randomly assigned to two training groups. Group 1 performed systematic change-of-direction sprints (CODST, U19 [n = 9], U17 [n = 9], U15 [n = 10]) while group 2 conducted systematic linear sprints (LST, U19 [n = 9], U17 [n = 9], U15 [n = 9]). Training volumes were similar between groups (40 sprints per week x 30 weeks = 1200 sprints per season). Pre and post training, all players performed tests for the assessment of linear and slalom sprint speed (5-m and 10-m), countermovement jump, and maximal aerobic speed performance.
Results
For all physical fitness measures, the baseline-adjusted means data (ANCOVA) across the age groups showed no significant differences between LST and CODST at post (0.061 < p < 0.995; 0.0017 < d < 1.01). The analyses of baseline-adjusted means for all physical fitness measures for U15, U17, and U19 (LST vs. CODST) revealed no significant differences between LST and CODST for U15 (0.213 < p < 0.917; 0.001 < d < 0.087), U17 (0.132 < p < 0.976; 0.001 < d < 0.310), and U19 (0.300 < p < 0.999; 0.001 < d < 0.049) at post.
Conclusions
The results from this study showed that both, LST and CODST induced significant changes in the sprint, lower limbs power, and aerobic performances in young elite soccer players. Since no significant differences were observed between LST and CODST, the observed changes are most likely due to training and/or maturation. Therefore, more research is needed to elucidate whether CODST, LST or a combination of both is beneficial for youth soccer athletes’ performance development.
This study sought to analyze the relationship between in-season training workload with changes in aerobic power (VO2max), maximum and resting heart rate (HRmax and HRrest), linear sprint medium (LSM), and short test (LSS), in soccer players younger than 16 years (under-16 soccer players). We additionally aimed to explain changes in fitness levels during the in-season through regression models, considering accumulated load, baseline levels, and peak height velocity (PHV) as predictors. Twenty-three male sub-elite soccer players aged 15.5 ± 0.2 years (PHV: 13.6 ± 0.4 years; body height: 172.7 ± 4.2 cm; body mass: 61.3 ± 5.6 kg; body fat: 13.7% ± 3.9%; VO2max: 48.4 ± 2.6 mL⋅kg–1⋅min–1), were tested three times across the season (i.e., early-season (EaS), mid-season (MiS), and end-season (EnS) for VO2max, HRmax, LSM, and LSS. Aerobic and speed variables gradually improved over the season and had a strong association with PHV. Moreover, the HRmax demonstrated improvements from EaS to EnS; however, this was more evident in the intermediate period (from EaS to MiS) and had a strong association with VO2max. Regression analysis showed significant predictions for VO2max [F(2, 20) = 8.18, p ≤ 0.001] with an R2 of 0.45. In conclusion, the meaningful variation of youth players’ fitness levels can be observed across the season, and such changes can be partially explained by the load imposed.
Coaches and athletes in elite sports are constantly seeking to use innovative and advanced training strategies to efficiently improve strength/power performance in already highly-trained individuals. In this regard, high-intensity conditioning contractions have become a popular means to induce acute improvements primarily in muscle contractile properties, which are supposed to translate to subsequent power performances. This performance-enhancing physiological mechanism has previously been called postactivation potentiation (PAP). However, in contrast to the traditional mechanistic understanding of PAP that is based on electrically-evoked twitch properties, an increasing number of studies used the term PAP while referring to acute performance enhancements, even if physiological measures of PAP were not directly assessed. In this current opinion article, we compare the two main approaches (i.e., mechanistic vs. performance) used in the literature to describe PAP effects. We additionally discuss potential misconceptions in the general use of the term PAP. Studies showed that mechanistic and performance-related PAP approaches have different characteristics in terms of the applied research field (basic vs. applied), effective conditioning contractions (e.g., stimulated vs. voluntary), verification (lab-based vs. field tests), effects (twitch peak force vs. maximal voluntary strength), occurrence (consistent vs. inconsistent), and time course (largest effect immediately after vs. similar to 7 min after the conditioning contraction). Moreover, cross-sectional studies revealed inconsistent and trivial-to-large-sized associations between selected measures of mechanistic (e.g., twitch peak force) vs. performance-related PAP approaches (e.g., jump height). In an attempt to avoid misconceptions related to the two different PAP approaches, we propose to use two different terms. Postactivation potentiation should only be used to indicate the increase in muscular force/torque production during an electrically-evoked twitch. In contrast, postactivation performance enhancement (PAPE) should be used to refer to the enhancement of measures of maximal strength, power, and speed following conditioning contractions. The implementation of this terminology would help to better differentiate between mechanistic and performance-related PAP approaches. This is important from a physiological point of view, but also when it comes to aggregating findings from PAP studies, e.g., in the form of meta-analyses, and translating these findings to the field of strength and conditioning.
Performance- and healthrelated benefits of yoThere is ample evidence that youth resistance training (RT) is safe, joyful, and effective for different markers of performance (e.g., muscle strength, power, linear sprint speed) and health (e.g., injury prevention). Accordingly, the first aim of this narrative review is to present and discuss the relevance of muscle strength for youth physical development. The second purpose is to report evidence on the effectiveness of RT on muscular fitness (muscle strength, power, muscle endurance), on movement skill performance and injury prevention in youth. There is evidence that RT is effective in enhancing measures of muscle fitness in children and adolescents, irrespective of sex. Additionally, numerous studies indicate that RT has positive effects on fundamental movement skills (e.g., jumping, running, throwing) in youth regardless of age, maturity, training status, and sex. Further, irrespective of age, sex, and training status, regular exposure to RT (e.g., plyometric training) decreases the risk of sustaining injuries in youth. This implies that RT should be a meaningful element of youths’ exercise programming. This has been acknowledged by global (e.g., World Health Organization) and national (e.g., National Strength and Conditioning Association) health- and performance-related organizations which is why they recommended to perform RT as an integral part of weekly exercise programs to promote muscular strength, fundamental movement skills, and to resist injuries in youth.uth resistance training
The purpose of this systematic review with meta-analysis was to examine the effects of strength training (ST) on selected components of physical fitness (e.g., lower/upper limb maximal strength, muscular endurance, jump performance, cardiorespiratory endurance) and sport-specific performance in rowers. Only studies with an active control group were included if they examined the effects of ST on at least one proxy of physical fitness and/or sport-specific performance in rowers. Weighted and averaged standardized mean differences (SMD) were calculated using random-effects models. Subgroup analyses were computed to identify effects of ST type or expertise level on sport-specific performance. Our analyses revealed significant small effects of ST on lower limb maximal strength (SMD = 0.42, p = 0.05) and on sport-specific performance (SMD = 0.32, p = 0.05). Non-significant effects were found for upper limb maximal strength, upper/lower limb muscular endurance, jump performance, and cardiorespiratory endurance. Subgroup analyses for ST type and expertise level showed non-significant differences between the respective subgroups of rowers (p >= 0.32). Our systematic review with meta-analysis indicated that ST is an effective means for improving lower limb maximal strength and sport-specific performance in rowers. However, ST-induced effects are neither modulated by ST type nor rowers' expertise level.
How We Found Our IMU
(2020)
Inertial measurement units (IMUs) are commonly used for localization or movement tracking in pervasive healthcare-related studies, and gait analysis is one of the most often studied topics using IMUs. The increasing variety of commercially available IMU devices offers convenience by combining the sensor modalities and simplifies the data collection procedures. However, selecting the most suitable IMU device for a certain use case is increasingly challenging. In this study, guidelines for IMU selection are proposed. In particular, seven IMUs were compared in terms of their specifications, data collection procedures, and raw data quality. Data collected from the IMUs were then analyzed by a gait analysis algorithm. The difference in accuracy of the calculated gait parameters between the IMUs could be used to retrace the issues in raw data, such as acceleration range or sensor calibration. Based on our algorithm, we were able to identify the best-suited IMUs for our needs. This study provides an overview of how to select the IMUs based on the area of study with concrete examples, and gives insights into the features of seven commercial IMUs using real data.
Gait analysis is an important tool for the early detection of neurological diseases and for the assessment of risk of falling in elderly people. The availability of low-cost camera hardware on the market today and recent advances in Machine Learning enable a wide range of clinical and health-related applications, such as patient monitoring or exercise recognition at home. In this study, we evaluated the motion tracking performance of the latest generation of the Microsoft Kinect camera, Azure Kinect, compared to its predecessor Kinect v2 in terms of treadmill walking using a gold standard Vicon multi-camera motion capturing system and the 39 marker Plug-in Gait model. Five young and healthy subjects walked on a treadmill at three different velocities while data were recorded simultaneously with all three camera systems. An easy-to-administer camera calibration method developed here was used to spatially align the 3D skeleton data from both Kinect cameras and the Vicon system. With this calibration, the spatial agreement of joint positions between the two Kinect cameras and the reference system was evaluated. In addition, we compared the accuracy of certain spatio-temporal gait parameters, i.e., step length, step time, step width, and stride time calculated from the Kinect data, with the gold standard system. Our results showed that the improved hardware and the motion tracking algorithm of the Azure Kinect camera led to a significantly higher accuracy of the spatial gait parameters than the predecessor Kinect v2, while no significant differences were found between the temporal parameters. Furthermore, we explain in detail how this experimental setup could be used to continuously monitor the progress during gait rehabilitation in older people.
Eine sportartspezifische Anforderungsanalyse ist die Grundlage für die Leistungsdiagnostik und eine wichtige Voraussetzung für die Trainingssteuerung im Spitzensport. Im Rahmen der Leistungsdiagnostik in der Zweikampfsportart Judo besitzen judospezifische Anrissleistungen bei Anrissbewegungen ein hohes Potenzial, um Defizite im Kraft-Weg-Verlauf bzw. in den kinetischen Parametern (z. B. mechanische Arbeit, dynamische Maximalkraft) zu identifizieren und ableitend daraus entsprechende trainingsmethodische Anpassungen zur Verbesserung vorzunehmen. Die Rumpfstabilität und die Rumpfkraft stellen wichtige Leistungsvoraussetzungen für sportliche Bewegungen dar, um den optimalen Transfer von Kräften und Drehmomenten von den unteren Extremitäten über den stabilen Rumpf hin zu den oberen Extremitäten zu ermöglichen. Im Trainingsprozess der Judoka erfährt das spezifische Krafttraining immer mehr Aufmerksamkeit, um die sportartrelevanten Muskelgruppen zu entwickeln und somit die finale Effektivität einer Wurftechnik zu verbessern.
Die wesentliche Zielstellung dieser Arbeit bestand darin, die Leistungsdiagnostik im Judo zu optimieren und effektive Trainingsprogramme zur Verbesserung von judospezifischen Anrissbewegungen zu entwickeln. Im Einzelnen wurde dafür eine systematische Anforderungsanalyse für die Sportart Judo erarbeitet. Basierend auf dieser Analyse wurden die Validität und die Reliabilität von kinetischen Parametern während Anrissbewegungen mit einem judospezifischen Ergometer-System (JERGo) untersucht. Zudem wurden die Zusammenhänge zwischen der Rumpfkraft und kinetischen Parametern bei judospezifischen Anrissbewegungen analysiert. Schließlich wurde die Wirksamkeit eines spezifischen Anrisstrainings am JERGo-System gegenüber einem Anrisstraining mit Partner auf kinetische Parameter und Muskelaktivität überprüft.
Die sportartspezifische Anforderungsanalyse wurde unter Berücksichtigung der metabolischen und muskulären Anforderungen sowie sportartspezifischen Verletzungsrisiken erarbeitet. An den zwei Querstudien bzw. einer Längsschnittstudie nahmen gesunde männliche Judoka mit unterschiedlichem Expertiseniveau teil. Die kinetischen Parameter bei judospezifischen Anrissbewegungen wurden mit dem JERGo-System in allen Experimentalstudien erfasst. Die Rumpfkraft wurde mit einem isokinetischen Dynamometer gemessen, um Assoziationen zwischen der Rumpfkraft und judospezifischen Anrissleistungen zu bestimmen. Zudem wurde die Aktivität ausgewählter Rumpf-/Schultermuskeln bei der Anrissbewegung im Standfür die Validierung des JERGo-Systems und für die Überprüfung der Effekte eines Anrisstrainings erfasst. Die Ermittlung von sportmotorischen Leistungen erfolgte durch die Übungen Liegend-Anreißen und Klimmziehen, um die Wirkungen eines judospezifischen Anrisstrainings auf sportartunspezifische Kraftleistungen zu untersuchen.
Unter Berücksichtigung der muskulären Anforderungen im Judo wird die Ausführung einer explosiven Anrissbewegung bzw. Wurftechnik durch die koordinierte Aktivität vieler Muskelgruppen und vor allem durch die unteren Extremitäten sowie den Rumpf realisiert. Aus trainingswissenschaftlicher Sicht ist das JERGo-System ein valides und reliables Messinstrument für die Diagnostik von kinetischen Parametern während judospezifischer Anrissbewegungen. Die Rumpfkraft, insbesondere bei der Rumpfrotation, ist mit kinetischen Parametern bei judospezifischen Anrissbewegungen assoziiert. Ein Anrisstraining am JERGo-System zeigt in den kinetischen Parametern und Muskelaktivierungen vor allem bei der Anrissbewegung im Stand signifikant größere Zuwachsraten im Vergleich zu einem Anrisstraining mit Partner.
Die Ergebnisse dieser Arbeit zeigen, dass die Verbesserung der muskulären Leistungsfähigkeit (z. B. Explosivkraft) in den unteren Extremitäten und der Rumpfmuskulatur eine wichtige Basis für judospezifische Anrissleistungen bei Anrissbewegungen und Wurftechniken darstellt. Zudem empfiehlt es sich, dass JERGo-System zur Diagnostik von kinetischen Parametern bei judospezifischen Anrissbewegungen in die judospezifische Testbatterie einzubinden. Weiterhin kann davon ausgegangen werden, dass durch rumpfextensions- und vor allem durch rumpfrotationskräftigende Übungen unter maximal schellkräftigender Muskelaktivierung Einfluss auf kinetische Parameter bei judospezifischen Anrissbewegungen genommen wird. Letztendlich empfiehlt es sich, ein Antrisstraining am JERGo-System in den judospezifischen Trainingsprozess zu integrieren.