====================================================================== A textile exomuscle that assists the shoulder during functional movements for everyday life ====================================================================== Date: July 2021 Responsible: Anna-Maria Georgarakis Email: marie.georgarakis@outlook.com ================ Data Files ================ > Raw data: - resultsSummary-and-participantCharacteristics_textileExomuscle2021.csv: Participant characteristics information and intra-participant results for outcome metrics. - moCapRawData_TextileExomuscle2021.csv: Motion Capture raw data from 15 markers. - emgRawData_TextileExomuscle2021.csv: surface electro-myographic (EMG) raw data from 5 electrodes (participants w/o impairments only). - hrRawData_TextileExomuscle2021.csv: Heart rate raw data. > Post-processed data: - END_TextileExomuscle2021.csv: Post-processed MoCap and EMG data for the endurance task. - ADL_TextileExomuscle2021.csv: Post-processed MoCap and EMG data for the functional (ADL) task. - ROM_TextileExomuscle2021.csv: Post-processed MoCap data for the range of motion task. ==================================================================================================== Examplary analysis scripts, coded in Matlab R2020b. For the original analysis, Matlab structs were used, which were re-organized into the non-proprietary data format .csv for this repository. ==================================================================================================== > Data post-processing and modelling: - emg_postProcessing.m - moCap_postProcessing.m > Feature extraction: - featureExtrEND.m - featureExtrADL.m - featureExtrROM.m > Data analysis: - END_Unimpaired.m - END_Impaired.m - ALD_Unimpaired.m - ADL_Impaired.m - ROM_Elevation_Unimpaired.m - ROM_Elevation_Unimpaired.m - ROM_Elevation_Unimpaired.m - 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. =============== === SUMMARY === =============== This data was collected between August and September 2020 at the Balgrist Campus (ETH Zurich). The ethical approval for the study was issued by the ETH Zurich ethics commission (EK 2019-N-165). More details can be found in the scientific publication. All participants participated voluntarily and gave their informed consent. 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. Data was anonymized and does not reflect the order of recruitment. Each participant performed the three TASKS: >> ROM: - three maximal arm elevations (theta) in six different directions of plane of elevation (phi = {0°, 30°, 60°, 80°, 90°, 120°}, randomized) - three maximal arm swipes at theta=90° of arm elevation - three maximal external rotations at theta=90° of arm elevation, elbow flexed at 90° >> 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 >> END: holding up the extended arm until fatigue - participants w/o impairments: while holding a weight conforming with 30% of the force generated during a maximum voluntary contraction (MVC) - participants with impairments: unloaded ... under the following CONDITIONS on two separate study days: >> NO : unassisted, wearing a sleeveless shirt; >> 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.

The data and scripts may be re-used for scientific, ethically approved purposes under the creative commons CC BY 4.0 license agreement.