Towards a functional assistance in transfer and posture of paraplegics using FES: From simulations to experiments

Today there are around 90 million people suffering from Spinal Cord Injury (SCI) worldwide. Thanks to the progresses in emergency medical care, problems faced by SCI individuals after an accident are no longer life threatening. This has generated a shift of the priorities in medical research and practice towards improvements in their quality of life. The use of Functional Electrical Stimulation (FES) for motion restoration in paralyzed limbs proved to have a potential to provide both functional and therapeutic benefits. The aim of this thesis is to investigate solutions which would improve quality of life of paraplegics by restoring the sit-to-stand, transfer from one surface to another and standing tasks. We aim at finding a good trade-off between achievable functionality of the FES system and its simplicity in terms of number of required sensors and computational cost and, accordingly, its applicability in clinical practice and daily life of paraplegic individuals.

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Source https://theses.hal.science/tel-00806206
Author Jovic, Jovana
Maintainer CCSD
Last Updated May 11, 2026, 21:08 (UTC)
Created May 11, 2026, 21:08 (UTC)
Identifier tel-00806206
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor Artificial movement and gait restoration (DEMAR) ; Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM) ; Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Centre Inria d'Université Côte d'Azur ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
creator Jovic, Jovana
date 2012-10-26T00:00:00
harvest_object_id 7281d91a-0164-48f9-824f-9057d167cd9c
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2025-08-26T00:00:00
set_spec type:THESE