Zobrazeno 1 - 10
of 115
pro vyhledávání: '"Steven Simon"'
Autor:
Carlo Dindorf, Jonas Dully, Joshua Berger, Stephan Becker, Emanuel Wolf, Steven Simon, Eva Bartaguiz, Wolfgang Kemmler, Michael Fröhlich
Publikováno v:
Sensors, Vol 24, Iss 13, p 4100 (2024)
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
Externí odkaz:
https://doaj.org/article/6ccfa70ccffa4a208c8c9809adf72c23
Autor:
Carlo Dindorf, Jonas Dully, Jürgen Konradi, Claudia Wolf, Stephan Becker, Steven Simon, Janine Huthwelker, Frederike Werthmann, Johanna Kniepert, Philipp Drees, Ulrich Betz, Michael Fröhlich
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 12 (2024)
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
Externí odkaz:
https://doaj.org/article/e094bdc6255b4775ae38b0abf019e3d6
Autor:
Steven Simon, Jonas Dully, Carlo Dindorf, Eva Bartaguiz, Oliver Walle, Ilsemarie Roschlock-Sachs, Michael Fröhlich
Publikováno v:
Safety, Vol 10, Iss 1, p 16 (2024)
(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 suc
Externí odkaz:
https://doaj.org/article/abeac3e4d0224fb6808fbbec38b3f47e
Publikováno v:
Sensors, Vol 24, Iss 4, p 1175 (2024)
(1) Background: Occupational fatigue is a primary factor leading to work-related musculoskeletal disorders (WRMSDs). Kinematic and kinetic experimental studies have been able to identify indicators of WRMSD, but research addressing real-world workpla
Externí odkaz:
https://doaj.org/article/a05e52161ec34cf6a12b0ac1aab07c1d
Autor:
Steven Simon, Divneet Mandair, Abdel Albakri, Alison Fohner, Noah Simon, Leslie Lange, Mary Biggs, Kenneth Mukamal, Bruce Psaty, Michael Rosenberg
Publikováno v:
JMIR Cardio, Vol 6, Iss 2, p e38040 (2022)
BackgroundMany machine learning approaches are limited to classification of outcomes rather than longitudinal prediction. One strategy to use machine learning in clinical risk prediction is to classify outcomes over a given time horizon. However, it
Externí odkaz:
https://doaj.org/article/4ddb1e4a5f7a4c6a8650ba9eeb5852a0
Autor:
John Stacy, Rachel Kim, Christopher Barrett, Balaviknesh Sekar, Steven Simon, Farnoush Banaei-Kashani, Michael A Rosenberg
Publikováno v:
JMIR Formative Research, Vol 6, Iss 8, p e36443 (2022)
BackgroundDespite the numerous studies evaluating various rhythm control strategies for atrial fibrillation (AF), determination of the optimal strategy in a single patient is often based on trial and error, with no one-size-fits-all approach based on
Externí odkaz:
https://doaj.org/article/bccf3f5af90743b68365ed2487502de7
Publikováno v:
Journal of Functional Morphology and Kinesiology, Vol 8, Iss 2, p 66 (2023)
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 perce
Externí odkaz:
https://doaj.org/article/f16c180366ca4288834a8234326ce564
Publikováno v:
Bioengineering, Vol 10, Iss 5, p 511 (2023)
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
Externí odkaz:
https://doaj.org/article/275025b16a91489882821a2bc5262e24
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 20, Iss 1, Pp 1-10 (2020)
Abstract Background With cardiovascular disease increasing, substantial research has focused on the development of prediction tools. We compare deep learning and machine learning models to a baseline logistic regression using only ‘known’ risk fa
Externí odkaz:
https://doaj.org/article/1540d2ffa1bb456d96a15251d5f11046
Autor:
Rachel S Kim, Steven Simon, Brett Powers, Amneet Sandhu, Jose Sanchez, Ryan T Borne, Alexis Tumolo, Matthew Zipse, J Jason West, Ryan Aleong, Wendy Tzou, Michael A Rosenberg
Publikováno v:
JMIR Medical Informatics, Vol 9, Iss 12, p e29225 (2021)
BackgroundThe identification of an appropriate rhythm management strategy for patients diagnosed with atrial fibrillation (AF) remains a major challenge for providers. Although clinical trials have identified subgroups of patients in whom a rate- or
Externí odkaz:
https://doaj.org/article/d1b4c220ee114492a7244fdfc3412bee