Jere Joonatan Lavikainen
Doctoral Researcher
My research involves real-time analysis of human motion as well as wearable motion sensors and video-based methods for predicting of the loading of the knee joint. I utilize neural network-based regression models.
Department of Technical Physics, Faculty of Science, Forestry and Technology
jere.lavikainen@uef.fi
Research groups
Publications
4/4 items-
Knee-Loading Predictions with Neural Networks Improve Finite Element Modeling Classifications of Knee Osteoarthritis: Data from the Osteoarthritis Initiative
Paz, Alexander; Lavikainen, Jere; Turunen, Mikael J; García, José J; Korhonen, Rami K; Mononen, Mika E. 2024. Annals of biomedical engineering. [Published: 06 June 2024]: 1-15 -
Open-source software library for real-time inertial measurement unit data-based inverse kinematics using OpenSim
Lavikainen, Jere; Vartiainen, Paavo; Stenroth, Lauri; Karjalainen, Pasi A.. 2023. PeerJ. 11: -
Prediction of Knee Joint Compartmental Loading Maxima Utilizing Simple Subject Characteristics and Neural Networks
Lavikainen, Jere; Stenroth, Lauri; Alkjær, Tine; Karjalainen, Pasi A; Korhonen, Rami K.; Mononen, Mika E. 2023. Annals of biomedical engineering. 51: 2479-2489 -
A Perturbed Postural Balance Test Using an Instrumented Treadmill - Precision and Accuracy of Belt Movement and Test-Retest Reliability of Balance Measures
Lesch, Kim J.; Lavikainen, Jere; Hyrylä, Vesa; Vartiainen, Paavo; Venojärvi, Mika; Karjalainen, Pasi A.; Tikkanen, Heikki; Stenroth, Lauri. 2021. Frontiers in sports and active living. 3: 688993