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Marion Mundt
Marion Mundt
Verified email at uwa.edu.au
Title
Cited by
Cited by
Year
A systematic review of gait analysis methods based on inertial sensors and adaptive algorithms
R Caldas, M Mundt, W Potthast, FB de Lima Neto, B Markert
Gait & posture 57, 204-210, 2017
3122017
Estimation of gait mechanics based on simulated and measured IMU data using an artificial neural network
M Mundt, A Koeppe, S David, T Witter, F Bamer, W Potthast, B Markert
Frontiers in bioengineering and biotechnology 8, 41, 2020
1212020
Prediction of lower limb joint angles and moments during gait using artificial neural networks
M Mundt, W Thomsen, T Witter, A Koeppe, S David, F Bamer, W Potthast, ...
Medical & biological engineering & computing 58, 211-225, 2020
932020
A comparison of three neural network approaches for estimating joint angles and moments from inertial measurement units
M Mundt, WR Johnson, W Potthast, B Markert, A Mian, J Alderson
Sensors 21 (13), 4535, 2021
562021
Understanding cutting maneuvers–The mechanical consequence of preparatory strategies and foot strike pattern
S David, M Mundt, I Komnik, W Potthast
Human movement science 62, 202-210, 2018
562018
Assessment of the measurement accuracy of inertial sensors during different tasks of daily living
M Mundt, W Thomsen, S David, T Dupré, F Bamer, W Potthast, B Markert
Journal of biomechanics 84, 81-86, 2019
432019
Prediction of ground reaction force and joint moments based on optical motion capture data during gait
M Mundt, A Koeppe, S David, F Bamer, W Potthast, B Markert
Medical Engineering & Physics 86, 29-34, 2020
392020
Walking with rollator: a systematic review of gait parameters in older persons
M Mundt, JP Batista, B Markert, C Bollheimer, T Laurentius
European review of aging and physical activity 16, 1-9, 2019
382019
Artificial neural networks in motion analysis—applications of unsupervised and heuristic feature selection techniques
M Mundt, A Koeppe, F Bamer, S David, B Markert
Sensors 20 (16), 4581, 2020
292020
Biomechanical testing of a PEEK-based dynamic instrumentation device in a lumbar spine model
C Herren, A Beckmann, S Meyer, M Pishnamaz, M Mundt, R Sobottke, ...
Clinical Biomechanics 44, 67-74, 2017
242017
Intelligent prediction of kinetic parameters during cutting manoeuvres
M Mundt, S David, A Koeppe, F Bamer, B Markert, W Potthast
Medical & Biological Engineering & Computing 57, 1833-1841, 2019
232019
Estimating ground reaction forces from two-dimensional pose data: a biomechanics-based comparison of AlphaPose, BlazePose, and OpenPose
M Mundt, Z Born, M Goldacre, J Alderson
Sensors 23 (1), 78, 2022
132022
The influence of motion tasks on the accuracy of kinematic motion patterns of an IMU-based measurement system
M Mundt, A Wisser, S David, T Dupré, V Quack, F Bamer, M Tingart, ...
ISBS Proceedings Archive 35 (1), 245, 2017
112017
Is bone-cement augmentation of screw-anchor fixation systems superior in unstable femoral neck fractures? A biomechanical cadaveric study
M Knobe, S Bettag, C Kammerlander, S Altgassen, KJ Maier, S Nebelung, ...
Injury 50 (2), 292-300, 2019
102019
A new in vitro spine test rig to track multiple vertebral motions under physiological conditions
A Beckmann, C Herren, M Mundt, J Siewe, P Kobbe, R Sobottke, ...
Biomedical Engineering/Biomedizinische Technik 63 (4), 341-347, 2018
102018
Prediction of joint kinetics based on joint kinematics using neural networks
M Mundt, A Koeppe, F Bamer, W Potthast, B Markert
Proceedings of the 36th Conference of the International Society of …, 2018
92018
Prediction of joint kinetics based on joint kinematics using artificial neural networks
M Mundt, A Koeppe, F Bamer, W Potthast, B Markert
ISBS Proceedings Archive 36 (1), 794, 2018
72018
Predicting 3D ground reaction force from 2D video via neural networks in sidestepping tasks
C Morris, M Mundt, M Goldacre, J Weber, A Mian, J Alderson
ISBS Proceedings Archive 39 (1), 300, 2021
52021
Mechanik 4.0. Künstliche Intelligenz zur Analyse mechanischer Systeme
A Koeppe, DF Hesser, M Mundt, F Bamer, B Markert
Handbuch Industrie 4.0: Recht, Technik, Gesellschaft, 553-567, 2020
52020
Determination of gait parameters in real‐world environment using low‐cost inertial sensors
M Mundt, W Thomsen, F Bamer, B Makert
PAMM 18 (1), e201800014, 2018
52018
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