Lorenzo HERMEZ

Lorenzo HERMEZ

PhD Student at Telecom SudParis, Institut Polytechnique de Paris

Thesis' title: Multitask deep learning to predict the therapeutic impacts in neuro-functional rehabilitation

Publications

You can also find my articles on my Google Scholar profile.

Journal Articles

A novel gait quality measure for characterizing pathological gait based on Hidden Markov Models

Published in Computers in Biology and Medicine, vol. 184, 2025

This study addresses the characterization of gait deviations induced by neurological diseases considering Hidden Markov Models.

Recommended citation: A. Halimi, L. Hermez, N. Houmani, S. Garcia-Salicetti, and O. Galarraga, “A novel gait quality measure for characterizing pathological gait based on Hidden Markov Models", Computers in Biology and Medicine, vol. 184, p. 109368, 2025.
Download Paper

Gait asymmetry assessment through Eigen-Gait components on dissimilarity maps

Published in Computers in Biology and Medicine, vol. 184, 2025

This study addresses the assessment of gait asymmetry induced by neurological diseases considering machine learning methods, especially Singular Value Decomposition.

Recommended citation: L. Hermez, N. Houmani, S. Garcia-Salicetti, O. Galarraga, and V. Vigneron, “Gait asymmetry assessment through eigen-gait components on dissimilarity maps", Computers in Biology and Medicine, vol. 184, p. 109390, 2025.
Download Paper

Clinical Gait Analysis: Characterizing Normal Gait and Pathological Deviations Due to Neurological Diseases

Published in Sensors, 2023

This study addresses the characterization of normal gait and pathological deviations induced by neurological diseases, considering non-normalized knee angular kinematics in the sagittal plane.

Recommended citation: Hermez, L.; Halimi, A.; Houmani, N.; Garcia-Salicetti, S.; Galarraga, O.; Vigneron, V. "Clinical Gait Analysis: Characterizing Normal Gait and Pathological Deviations Due to Neurological Diseases", Sensors 2023, 23, 6566. https://doi.org/10.3390/s23146566
Download Paper

Conference Papers

Gait Deviation Assessment: From Signal to Image Analysis

Published in 2024 IEEE Thirteenth International Conference on Image Processing Theory, Tools and Applications (IPTA), 2024

This study addresses a novel framework for gait quality assessment based on image analysis, extending the traditional signal-based approach. The paper is available on IEEE Explore

Recommended citation: L. Hermez, N. Houmani, S. Garcia-Salicetti, O. Galarraga and V. Vigneron, "Gait Deviation Assessment: From Signal to Image Analysis," 2024 IEEE Thirteenth International Conference on Image Processing Theory, Tools and Applications (IPTA), Rabat, Morocco, 2024, pp. 01-06, doi: 10.1109/IPTA62886.2024.10755780.

Gait Deviation and Neurological Diseases: a Comparative Study of Quantitative Measures

Published in Advances in Digital Health and Medical Bioengineering (EHB 2023), IFMBE Proceedings (111), Springer, 2024

This study compares the method proposed in Sensors with other state-of-the-art gait quality measures.

Recommended citation: Hermez, L., Houmani, N., Garcia-Salicetti, S., Galarraga, O., Vigneron, V. (2024). Gait Deviation and Neurological Diseases: A Comparative Study of Quantitative Measures. In: Advances in Digital Health and Medical Bioengineering. EHB 2023. IFMBE Proceedings, vol 111. Springer, Cham. https://doi.org/10.1007/978-3-031-62523-7_55

An enhanced characterization of gait deviations in Hemiparesis by combining knee and ankle kinematics

Published in Gait & Posture, 2024

This study completes the method proposed in Sensors by considering sagittal ankle angular kinematics.

Recommended citation: L. Hermez, N. Houmani, S. Garcia-Salicetti, O. Galarraga, and V. Vincent. "An enhanced characterization of gait deviations in Hemiparesis by combining knee and ankle kinematics". Gait & Posture, 113:91–92, 2024. ISSN 0966-6362. https://doi.org/10.1016/j.gaitpost.2024.07.106