Jere Lavikainen - UEFConnect

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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.

Information Publications

Research groups

Biosignal Analysis and Medical Imaging research g… 01.01.1994 -

Keywords

biomechanics IMU inertial measurement unit machine learning motion analysis

Publications

6/6 items

Estimation methods for musculoskeletal movement and loading using biomechanical models and portable modalities: bringing modern musculoskeletal analysis methods outside the motion laboratory
Lavikainen, Jere. 2024. Publications of the University of Eastern Finland. Dissertations in Science, Forestry and Technology
Gait data from 51 healthy participants with motion capture, inertial measurement units, and computer vision
Lavikainen, Jere; Vartiainen, Paavo; Stenroth, Lauri; Karjalainen, Pasi A; Korhonen, Rami K; Liukkonen, Mimmi K; Mononen, Mika E. 2024. Data in brief. 56:
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
Predicting Knee Joint Contact Force Peaks During Gait Using a Video Camera or Wearable Sensors
Lavikainen, Jere; Stenroth, Lauri; Vartiainen, Paavo; Alkjaer, Tine; Karjalainen, Pasi A; Henriksen, Marius; Korhonen, Rami K; Liukkonen, Mimmi; Mononen, Mika E. 2024. Annals of biomedical engineering. [Epub ahead of print 03 August 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

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Jere Joonatan Lavikainen

Research groups

Keywords

Estimation methods for musculoskeletal movement and loading using biomechanical models and portable modalities: bringing modern musculoskeletal analysis methods outside the motion laboratory

Gait data from 51 healthy participants with motion capture, inertial measurement units, and computer vision

Knee-Loading Predictions with Neural Networks Improve Finite Element Modeling Classifications of Knee Osteoarthritis: Data from the Osteoarthritis Initiative

Predicting Knee Joint Contact Force Peaks During Gait Using a Video Camera or Wearable Sensors

Open-source software library for real-time inertial measurement unit data-based inverse kinematics using OpenSim

Prediction of Knee Joint Compartmental Loading Maxima Utilizing Simple Subject Characteristics and Neural Networks