Towards Fes - Assisted Grasping Controlled by Residual Muscle Contraction and Movement on Persons with Tetraplegia
In: ISPRM: International Society of Physical and Rehabilitation Medicine, 2018
Online
Konferenz
Zugriff:
International audience ; Introduction/Background: Functional electrical stimulation (FES) can be used on individuals with upper motoneuron dysfunctions to restore grasping functions. To be functional and useful in daily tasks, the patient must be able to pilot the device by means of an interface. We have investigated two techniques that could address the situation of persons with tetraplegia: electromyography (EMG) and inertial measurement units (IMU), respectively measuring muscle activity and limb movements. Material and Method One group of 8 tetraplegic patients (EMG group) was equipped with two pairs of EMG electrodes located on muscles of the upper arm. Selected muscles could be voluntary activated in a comfortable way. Another group of 9 tetraplegic patients (IMU group) was equipped with one IMU (3-axis accelerometer and 3-axis gyroscope) located on the arm. In the EMG group a threshold detection algorithm was used to detect muscle contractions while in IMU group a classification algorithm was used to detect two distinct movements of the limb where the IMU was located. The detection algorithms outputs were used to trigger two postures of a robot hand. The same outputs were also used, for patients where FES of arm muscles lead to visible hand movements, to trigger the contractions of two muscles on their contralateral lower arm. Results: All the patients were able to control muscle contraction or limb movements to trigger different actions. Patients were asked to control the robotic hand, following a randomized sequence of two pre-defined postures. In EMG group the success score was of 95% and 92% in IMU group. Whenever FES was used, patients could activate grasping movements and wrist extension. Three patients were able to perform functional tasks such as grasping and relocating objects. Conclusion: Despite little training, all the patients were able to voluntarily control a robotic hand and, when it was possible to test, their own hand with FES.
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Towards Fes - Assisted Grasping Controlled by Residual Muscle Contraction and Movement on Persons with Tetraplegia
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Autor/in / Beteiligte Person: | Tigra, Wafa ; Fonseca, Lucas ; Navarro, Benjamin ; Guiraud, David ; Padilha Lanari Bo, Antonio ; Fachin-Martins, Emerson ; Leynaert, Violaine ; Gélis, Anthony ; Azevedo Coste, Christine ; Control of Artificial Movement and Intuitive Neuroprosthesis (CAMIN) ; 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)-Inria Sophia Antipolis - Méditerranée (CRISAM) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria) ; MXM-Laboratoires de Techologies Médicales (MXM Labs) ; MXM-Laboratoires de Techologies Médicales ; Laboratório de Automação e Robótica (LARA) ; Universidade de Brasilia Brasília (UnB) ; Interactive Digital Humans (IDH) ; Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS) ; Núcleo de Tecnologia Assistiva, Acessibilidade e Inovação (NTAAI) ; Centre Mutualiste de Réeducation Neurologique Propara (PROPARA) ; Mutualité, Languedoc |
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Zeitschrift: | ISPRM: International Society of Physical and Rehabilitation Medicine, 2018 |
Veröffentlichung: | HAL CCSD, 2018 |
Medientyp: | Konferenz |
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