A comparison of machine learning models' accuracy in predicting lower-limb joints' kinematics, kinetics, and muscle forces from wearable sensors

SM Moghadam, T Yeung, J Choisne - Scientific reports, 2023 - nature.com
A combination of wearable sensors' data and Machine Learning (ML) techniques has been
used in many studies to predict specific joint angles and moments. The aim of this study was …

A scoping review of applications of artificial intelligence in kinematics and kinetics of ankle sprains-current state-of-the-art and future prospects

YX Teoh, JK Alwan, DS Shah, YW Teh, SL Goh - Clinical Biomechanics, 2024 - Elsevier
Background Despite the existence of evidence-based rehabilitation strategies that address
biomechanical deficits, the persistence of recurrent ankle problems in 70% of patients with …

Lower body joint angle prediction using machine learning and applied biomechanical inverse dynamics

Z Choffin, N Jeong, M Callihan, E Sazonov, S Jeong - Sensors, 2022 - mdpi.com
Extreme angles in lower body joints may adversely increase the risk of injury to joints. These
injuries are common in the workplace and cause persistent pain and significant financial …

The effect of imu sensor location, number of features, and window size on a random forest model's accuracy in predicting joint kinematics and kinetics during gait

SM Moghadam, T Yeung, J Choisne - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Using inertial measurement units (IMUs) in combination with machine learning (ML)
techniques has become a common approach for predicting specific gait time series, such as …

A novel framework for designing a multi-DoF prosthetic wrist control using machine learning

CP Swami, N Lenhard, J Kang - Scientific Reports, 2021 - nature.com
Prosthetic arms can significantly increase the upper limb function of individuals with upper
limb loss, however despite the development of various multi-DoF prosthetic arms the rate of …

3D gait analysis in children using wearable sensors: feasibility of predicting joint kinematics and kinetics with personalized machine learning models and inertial …

S Mohammadi Moghadam, P Ortega Auriol… - … in Bioengineering and …, 2024 - frontiersin.org
Introduction: Children's walking patterns evolve with age, exhibiting less repetitiveness at a
young age and more variability than adults. Three-dimensional gait analysis (3DGA) is …

Analysis of human ambulation as a chaotic time-series: with nonlinear dynamics tools

M Al Kouzbary, H Al Kouzbary, J Liu… - Computer Methods in …, 2024 - Taylor & Francis
The aim of the present study is to investigate the complexity and stability of human
ambulation and the implications on robotic prostheses control systems. Fourteen healthy …

Enhancing Joint Motion Prediction for Individuals with Limb Loss Through Model Reprogramming

S Dey, SR Nair - arXiv preprint arXiv:2403.06569, 2024 - arxiv.org
Mobility impairment caused by limb loss is a significant challenge faced by millions of
individuals worldwide. The development of advanced assistive technologies, such as …

Artificial Intelligence in Prosthetic Gait

LK Tham, H Al Kouzbary, JE Kwong… - … Engineering: AI and … - books.google.com
Optimal lower limb prosthesis plays a key role in rehabilitation to help restore walking ability
following major limb amputations. The use of wearable sensors in prosthetic gait …

Artificial Intelligence in Prosthetic Gait Assessment and Prosthesis Control: Present and Future

LK Tham, H Al Kouzbary, JE Kwong, HN Shasmin… - Khin Wee Lai - Springer
Optimal lower limb prosthesis plays a key role in rehabilitation to help restore walking ability
following major limb amputations. The use of wearable sensors in prosthetic gait …