Intention recognition for FES in a grasp-and-release task using volitional EMG and inertial sensors
dc.contributor.author | Salchow-Hömmen, Christina | |
dc.contributor.author | Dorn, Andreas | |
dc.contributor.author | Valtin, Markus | |
dc.contributor.author | Schauer, Thomas | |
dc.date.accessioned | 2020-11-18T09:22:49Z | |
dc.date.available | 2020-11-18T09:22:49Z | |
dc.date.issued | 2017-09-07 | |
dc.description.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. | en |
dc.description.sponsorship | BMBF, 16SV7069K, Verbundprojekt: Bewegungsfähigkeit und Mobilität wiedererlangen - BeMobil -; Teilvorhaben: Nutzerzentrierte Entwicklung technischer Methoden für eine optimale Mensch-Technik-Interaktion in der Bewegungsrehabilitation | en |
dc.identifier.eissn | 2364-5504 | |
dc.identifier.uri | https://depositonce.tu-berlin.de/handle/11303/11990 | |
dc.identifier.uri | http://dx.doi.org/10.14279/depositonce-10870 | |
dc.language.iso | en | en |
dc.relation.ispartof | 10.14279/depositonce-10136 | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | en |
dc.subject.ddc | 610 Medizin und Gesundheit | de |
dc.subject.ddc | 629 Andere Fachrichtungen der Ingenieurwissenschaften | de |
dc.subject.other | functional electrical stimulation | en |
dc.subject.other | volitional EMG | en |
dc.subject.other | inertial sensors | en |
dc.subject.other | hand neuroprosthesis | en |
dc.subject.other | grasping | en |
dc.title | Intention recognition for FES in a grasp-and-release task using volitional EMG and inertial sensors | en |
dc.type | Article | en |
dc.type.version | publishedVersion | en |
dcterms.bibliographicCitation.doi | 10.1515/cdbme-2017-0034 | en |
dcterms.bibliographicCitation.issue | 2 | en |
dcterms.bibliographicCitation.journaltitle | Current directions in biomedical engineering | en |
dcterms.bibliographicCitation.originalpublishername | De Gruyter | en |
dcterms.bibliographicCitation.originalpublisherplace | Berlin | en |
dcterms.bibliographicCitation.pageend | 165 | en |
dcterms.bibliographicCitation.pagestart | 161 | en |
dcterms.bibliographicCitation.volume | 3 | en |
tub.accessrights.dnb | free | en |
tub.affiliation | Fak. 4 Elektrotechnik und Informatik::Inst. Energie- und Automatisierungstechnik | de |
tub.affiliation.faculty | Fak. 4 Elektrotechnik und Informatik | de |
tub.affiliation.institute | Inst. Energie- und Automatisierungstechnik | de |
tub.publisher.universityorinstitution | Technische Universität Berlin | en |