Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Bernd J. Stetter"'
Autor:
Jonas Weber, Bernd J. Stetter
Publikováno v:
Current Issues in Sport Science, Vol 9, Iss 4 (2024)
Joint kinetics play an important role in assessing the mechanical joint load, and their analysis is crucial to understand injury mechanisms and disease progression. Joint kinetics analysis (e.g., joint moments) is commonly conducted using human motio
Externí odkaz:
https://doaj.org/article/29e7fdc2348e4cc7b4ce3a9f00760226
Publikováno v:
Current Issues in Sport Science, Vol 9, Iss 4 (2024)
Optical motion capture systems are the gold standard for collecting three-dimensional kinematic data in sports. However, while their use in flow channels is somewhat practical, they are difficult to employ in swimming pools, e.g. due to camera placem
Externí odkaz:
https://doaj.org/article/5fec0057a47845ce87fed47f6d7fe1c2
Autor:
Michael Herzog, Frieder C. Krafft, Bernd J. Stetter, Andrea d’Avella, Lizeth H. Sloot, Thorsten Stein
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-18 (2023)
Abstract The transitions between sitting and standing have a high physical and coordination demand, frequently causing falls in older individuals. Rollators, or four-wheeled walkers, are often prescribed to reduce lower-limb load and to improve balan
Externí odkaz:
https://doaj.org/article/1c483be171524253b6097e2fd633f6db
Publikováno v:
Frontiers in Sports and Active Living, Vol 6 (2024)
Externí odkaz:
https://doaj.org/article/ad03c202680d41329feb602424e5960b
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 10 (2022)
Hip Osteoarthritis (HOA) is a common joint disease with serious impact on the quality of life of the affected persons. Additionally, persons with HOA often show alterations in gait biomechanics. Developing effective conservative treatment strategies
Externí odkaz:
https://doaj.org/article/bd9f7c85faca498d93be0b2f4bf91950
Publikováno v:
Frontiers in Sports and Active Living, Vol 2 (2020)
Kinematic synergies (kSYN) provide an approach to quantify the covariation of joint motions and to explain the mechanisms underlying human motor behavior. A low-dimensional control strategy by means of the activation of a moderate number of kSYN woul
Externí odkaz:
https://doaj.org/article/c6b798e5d7494f598459aae15b23d870
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 8 (2020)
Joint moment measurements represent an objective biomechanical parameter of knee joint load in knee osteoarthritis (KOA). Wearable sensors in combination with machine learning techniques may provide solutions to develop assistive devices in KOA patie
Externí odkaz:
https://doaj.org/article/5d7d5ff58355443d8f453ebe36b9333e
Publikováno v:
Sensors, Vol 19, Iss 17, p 3690 (2019)
Knee joint forces (KJF) are biomechanical measures used to infer the load on knee joint structures. The purpose of this study is to develop an artificial neural network (ANN) that estimates KJF during sport movements, based on data obtained by wearab
Externí odkaz:
https://doaj.org/article/4ee9fedf4b034fa1b264daead66f617d
Publikováno v:
Footwear Science. 11:161-170
Running brings many health benefits, but can lead to injuries to the musculoskeletal system. Modern running shoes have been developed to improve running biomechanics, including the heel-to-toe-drop...
Publikováno v:
European Journal of Sport Science. 19:893-901
The capturing of movements by means of wearable sensors has become increasingly popular in order to obtain sport performance measures during training or competition. The purpose of the current study was to investigate the feasibility of using body wo