DOI: 10.5281/zenodo.5070434
title: A textile exomuscle that assists the shoulder during functional movements for everyday life

description: ======================================================================<br> A textile exomuscle that assists the shoulder during functional movements for everyday life<br> ====================================================================== Date: July 2021<br> Responsible: Anna-Maria Georgarakis<br> Email: marie.georgarakis@outlook.com <br> ================<br> Data Files<br> ================<br> &gt; Raw data:<br> - resultsSummary-and-participantCharacteristics_textileExomuscle2021.csv: Participant characteristics information and intra-participant results for outcome metrics.<br> - moCapRawData_TextileExomuscle2021.csv: Motion Capture raw data from 15 markers.<br> - emgRawData_TextileExomuscle2021.csv: surface electro-myographic (EMG) raw data from 5 electrodes (participants w/o impairments only).<br> - hrRawData_TextileExomuscle2021.csv: Heart rate raw data. &gt; Post-processed data:<br> - END_TextileExomuscle2021.csv: Post-processed MoCap and EMG data for the endurance task.<br> - ADL_TextileExomuscle2021.csv: Post-processed MoCap and EMG data for the functional (ADL) task.<br> - ROM_TextileExomuscle2021.csv: Post-processed MoCap data for the range of motion task. ====================================================================================================<br> Examplary analysis scripts, coded in Matlab R2020b. For the original analysis, Matlab structs were used, which were<br> re-organized into the non-proprietary data format .csv for this repository.<br> ====================================================================================================<br> &gt; Data post-processing and modelling:<br> - emg_postProcessing.m<br> - moCap_postProcessing.m &gt; Feature extraction:<br> - featureExtrEND.m<br> - featureExtrADL.m<br> - featureExtrROM.m &gt; Data analysis:<br> - END_Unimpaired.m<br> - END_Impaired.m<br> - ALD_Unimpaired.m<br> - ADL_Impaired.m<br> - ROM_Elevation_Unimpaired.m<br> - ROM_Elevation_Unimpaired.m<br> - ROM_Elevation_Unimpaired.m<br> - ROM_Impaired.m The data and scripts may be re-used for scientific, ethically approved purposes under the creative commons CC BY 4.0 license agreement. <br> ===============<br> === SUMMARY ===<br> =============== This data was collected between August and September 2020 at the Balgrist Campus (ETH Zurich).<br> The ethical approval for the study was issued by the ETH Zurich ethics commission (EK 2019-N-165).<br> More details can be found in the scientific publication. All participants participated voluntarily and gave their informed consent.<br> Ten study PARTICIPANTS (P1...P10) without upper limb impairments, one participant with a diagnosed Bethlem myopathy (P_{MD}) and one participant with a spinal cord injury (P_{SCI}) completed three study tasks.<br> Data was anonymized and does not reflect the order of recruitment. Each participant performed the three TASKS:<br> &gt;&gt; ROM:<br> - three maximal arm elevations (theta) in six different directions of plane of elevation (phi = {0°, 30°, 60°, 80°, 90°, 120°}, randomized)<br> - three maximal arm swipes at theta=90° of arm elevation<br> - three maximal external rotations at theta=90° of arm elevation, elbow flexed at 90°<br> &gt;&gt; ADL: three functional reaching movements, lifting bottles (m1=0.25 kg, m2=1.0 kg) to simulated shelves (h1=chest height, h2=nose height), orders/pairings randomized<br> &gt;&gt; END: holding up the extended arm until fatigue<br> - participants w/o impairments: while holding a weight conforming with 30% of the force generated during a maximum voluntary contraction (MVC)<br> - participants with impairments: unloaded ... under the following CONDITIONS on two separate study days:<br> &gt;&gt; NO : unassisted, wearing a sleeveless shirt;<br> &gt;&gt; MY : assisted by the textile exomuscle, compensating for 70% of gravitational forces. More information can be found in the README file and the scientific publication under the same name and authors.
description: The data and scripts may be re-used for scientific, ethically approved purposes under the creative commons CC BY 4.0 license agreement.