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dc.contributor.authorThacham-Poyil, Azeemsha
dc.contributor.authorSteuber, Volker
dc.contributor.authorAmirabdollahian, Farshid
dc.date.accessioned2019-05-08T09:24:10Z
dc.date.available2019-05-08T09:24:10Z
dc.date.issued2019
dc.identifier.urihttp://hdl.handle.net/2299/21314
dc.description.abstractElectromyogram Data from Upper Limb Muscles and Kinematic Data During Adaptive Robotic Interactions: The data set consists of kinematic and EMG signals collected from 3 upper limb muscles (Biceps Brachii, Anterior Deltoid, and Middle Deltoid) of healthy participants during an adaptive robotic interaction involving rowing movements. 30 (17 males, 13 females) healthy participants of at least 18 years old with no history of injury to the upper limb and back were involved in this experiment. Participants were students or staff members of University of Hertfordshire or other volunteers from outside the university. The measurements were taken using an EMG acquisition device (g.USBamp amplifier) from g.tec medical engineering GmbH. The data acquisition parameters (sampling rate, channel selection and so on) of the device were configured using Simulink. Three EMG electrode channels were configured in bipolar mode with a sampling frequency of 1200Hz. EMG electrodes for Biceps Brachii muscles were connected to Ports 11-12 of g.USBamp, Frontal Deltoid muscles to Ports 13-14 and Middle Deltoid muscles to Ports 15-16. The tasks involved upper limb exercise, which simulated rowing, using a robot arm (HapticMaster robot) as directed by visual instructions on screen and audio cues. This involved moving a robotic end-effector, while an animated boat rowing environment running in front of the participant on an LCD monitor. There were be 3 groups of participants in this study. Group A participants did not receive any adaptation from the robot during the interaction and were given break periods at regular intervals. Group B interacted with the adaptive robotic environment, which was designed to adjust the difficulty level of the training exercise based on EMG based fatigue indicators. Group C participants had a similar environment as Group B, but the environment only adapted based on the subject-reported fatigue. The participants were asked to continue the exercise until they felt very tired or until they reported fatigue 3 times or until the maximum feasible robotic resistance was reached.en_US
dc.language.isoenen_US
dc.publisherUniversity of Hertfordshireen_US
dc.rightsinfo:eu-repo/semantics/embargoedAccessen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subjectRoboten_US
dc.subjectElectromyogramen_US
dc.titleAdaptive Robot Mediated Upper Limb Training Using Electromyogram Based Muscle Fatigue Indicatorsen_US
dc.typeinfo:eu-repo/semantics/dataseten_US
dc.identifier.doidoi:10.18745/ds.21314*
dc.date.embargoedUntil2019-08-01
dcterms.dateAccepted2019-05-08
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US
rioxxterms.versionAMen_US
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden_US
rioxxterms.licenseref.startdate2019-04-12
rioxxterms.typeOtheren_US
herts.preservation.rarelyaccessedtrue
herts.date.embargo2019-08-01
herts.rights.accesstypeembargoedAccess
rioxxterms.funder.projectba3b3abd-b137-4d1d-949a-23012ce7d7b9en_US


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