Intention recognition for FES in a grasp-and-release task using volitional EMG and inertial sensors

dc.contributor.authorSalchow-Hömmen, Christina
dc.contributor.authorDorn, Andreas
dc.contributor.authorValtin, Markus
dc.contributor.authorSchauer, Thomas
dc.date.accessioned2020-11-18T09:22:49Z
dc.date.available2020-11-18T09:22:49Z
dc.date.issued2017-09-07
dc.description.abstractFunctional 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.sponsorshipBMBF, 16SV7069K, Verbundprojekt: Bewegungsfähigkeit und Mobilität wiedererlangen - BeMobil -; Teilvorhaben: Nutzerzentrierte Entwicklung technischer Methoden für eine optimale Mensch-Technik-Interaktion in der Bewegungsrehabilitationen
dc.identifier.eissn2364-5504
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/11990
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-10870
dc.language.isoenen
dc.relation.ispartof10.14279/depositonce-10136
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subject.ddc610 Medizin und Gesundheitde
dc.subject.ddc629 Andere Fachrichtungen der Ingenieurwissenschaftende
dc.subject.otherfunctional electrical stimulationen
dc.subject.othervolitional EMGen
dc.subject.otherinertial sensorsen
dc.subject.otherhand neuroprosthesisen
dc.subject.othergraspingen
dc.titleIntention recognition for FES in a grasp-and-release task using volitional EMG and inertial sensorsen
dc.typeArticleen
dc.type.versionpublishedVersionen
dcterms.bibliographicCitation.doi10.1515/cdbme-2017-0034en
dcterms.bibliographicCitation.issue2en
dcterms.bibliographicCitation.journaltitleCurrent directions in biomedical engineeringen
dcterms.bibliographicCitation.originalpublishernameDe Gruyteren
dcterms.bibliographicCitation.originalpublisherplaceBerlinen
dcterms.bibliographicCitation.pageend165en
dcterms.bibliographicCitation.pagestart161en
dcterms.bibliographicCitation.volume3en
tub.accessrights.dnbfreeen
tub.affiliationFak. 4 Elektrotechnik und Informatik::Inst. Energie- und Automatisierungstechnikde
tub.affiliation.facultyFak. 4 Elektrotechnik und Informatikde
tub.affiliation.instituteInst. Energie- und Automatisierungstechnikde
tub.publisher.universityorinstitutionTechnische Universität Berlinen

Files

Original bundle
Now showing 1 - 1 of 1
Loading…
Thumbnail Image
Name:
Salchow_etal_2017.pdf
Size:
629.8 KB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
4.9 KB
Format:
Item-specific license agreed upon to submission
Description:

Collections