Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-10870
For citation please use:
Main Title: Intention recognition for FES in a grasp-and-release task using volitional EMG and inertial sensors
Author(s): Salchow-Hömmen, Christina
Dorn, Andreas
Valtin, Markus
Schauer, Thomas
Type: Article
Is Part Of: 10.14279/depositonce-10136
Language Code: en
Abstract: Functional Electrical Stimulation (FES) facilitates the motor recovery of the hand function after stroke. The integration of biofeedback and other strategies to actively involve a patient in the therapy is important for the rehabilitation progress. We introduce a combined control approach for a FES-driven neuroprosthesis using volitional electromyo-graphy (vEMG) and motion capturing via a novel inertial sensor network for patients that still possess a residual activity in the paralyzed muscles. A real-time vEMG measurement and signal processing in between stimulation pulses has been realized during active FES. Experiments showed that our system allows for quick adaption to individual users.
URI: https://depositonce.tu-berlin.de/handle/11303/11990
http://dx.doi.org/10.14279/depositonce-10870
Issue Date: 7-Sep-2017
Date Available: 18-Nov-2020
DDC Class: 610 Medizin und Gesundheit
629 Andere Fachrichtungen der Ingenieurwissenschaften
Subject(s): functional electrical stimulation
volitional EMG
inertial sensors
hand neuroprosthesis
grasping
Sponsor/Funder: BMBF, 16SV7069K, Verbundprojekt: Bewegungsfähigkeit und Mobilität wiedererlangen - BeMobil -; Teilvorhaben: Nutzerzentrierte Entwicklung technischer Methoden für eine optimale Mensch-Technik-Interaktion in der Bewegungsrehabilitation
License: https://creativecommons.org/licenses/by-nc-nd/4.0/
Journal Title: Current directions in biomedical engineering
Publisher: De Gruyter
Publisher Place: Berlin
Volume: 3
Issue: 2
Publisher DOI: 10.1515/cdbme-2017-0034
Page Start: 161
Page End: 165
EISSN: 2364-5504
Appears in Collections:Inst. Energie- und Automatisierungstechnik » Publications

Files in This Item:
Salchow_etal_2017.pdf
Format: Adobe PDF | Size: 629.8 kB
DownloadShow Preview
Thumbnail

Item Export Bar

This item is licensed under a Creative Commons License Creative Commons