Accurate COP Trajectory Estimation in Healthy and Pathological Gait using Multimodal Instrumented Insoles and Deep Learning Models

Duong, T. T. H., Uher, D., Young, S. D., Farooquee, R., Druffner, A., Pasternak, A., Kanner, C., Fragala-Pinkham, M., Montes, J., & Zanotto, D. (2023). Accurate COP Trajectory Estimation in Healthy and Pathological Gait Using Multimodal Instrumented Insoles and Deep Learning Models. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31, 4801–4811. https://doi.org/10.1109/tnsre.2023.3338519
Authors:
Ton T. H. Duong
David Uher
Sally Dunaway Young
Rabia Farooquee
Abigail Druffner
Amy Pasternak
Cara H. Kanner
Maria A. Fragala-Pinkham
Jacqueline Montes
Damiano Zanotto
Affiliated Authors:
David Uher
Cara H. Kanner
Jacqueline Montes
Author Keywords:
wearable technology
ambulatory gait analysis
machine learning inference models
instrumented footwear
center of pressure
cyclograms
Publication Type:
Article
Unique ID:
10.1109/tnsre.2023.3338519
PMID:
Publication Date:
Data Source:
OpenAlex

Record Created: