Calculation of model parameters by EMG during dynamic motion of human arm

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

15 Downloads (Pure)

Abstract

The modeling of the dynamic behavior of the human arm is an important issue in robotics, biomedical and medical fields. In this study, it was aimed to construct an inverse dynamics model for the sequential motion of the arm subjected to external force fluctuations using a two degree of freedom manipulator. In experiments with healthy participants, EMG signals measured from the arm surface during the arm's stationary position task and the planar motion task, and displacements in the x- and yplane of the arm were recorded. In previous studies, the arm admittance was estimated numerically and experimentally for both tasks. To demonstrate the dynamic arm dynamics, the model parameters obtained with the inverse model will be compared with the parameters calculated experimentally and with matrix frequency response method's.

Original languageEnglish
Title of host publicationProceedings of the 21st National Biomedical Engineering Meeting (BIYOMUT 2017)
Place of PublicationPiscataway, NJ, USA
PublisherIEEE
Number of pages4
ISBN (Electronic)9781538653401
DOIs
Publication statusPublished - 2018
EventBIYOMUT 2017: 21st National Biomedical Engineering Meeting - Istanbul, Turkey
Duration: 24 Nov 201726 Nov 2017

Conference

ConferenceBIYOMUT 2017: 21st National Biomedical Engineering Meeting
Country/TerritoryTurkey
CityIstanbul
Period24/11/1726/11/17

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Fingerprint

Dive into the research topics of 'Calculation of model parameters by EMG during dynamic motion of human arm'. Together they form a unique fingerprint.

Cite this