Smart wearable garment and rapid musculoskeletal modelling for accurate neuromechanical analysis: Smart wearable garment and rapid musculoskeletal modelling for accurate neuromechanical analysis

Donatella Simonetti*, H.F.J.M. Koopman, M. Sartori

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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Abstract

Current clinical diagnostic tools for post-stroke motor deficits are based on rapid but subjective evaluation. Greater accuracy could be provided in well-equipped biomechanical laboratories. However, this involves lengthy set-up, data acquisition, and offline data analysis available only days, or weeks, after the initial assessment, no longer reflecting the patient’s actual state. The ability to capture the patient’s muscle activity as well as joint kinematics is key for neuromechanical assessment, but the process of muscle localization for electrode placement and joint angle measurement is not always viable in clinical environments. Here, we propose a new wearable technology with an integrated high-density electromyography and kinematics sensors able to provide simultaneously a rapid and accurate diagnosis. The soft sensorized garment in conjunction with automatic clustering of the HD-EMG channels into muscle groups and real-time modeling of the neuromusculoskeletal system allows estimation of internal mechanical forces in a rapid, quantitative, and clinically viable way.
Original languageEnglish
Title of host publicationConverging Clinical and Engineering Research on Neurorehabilitation
Subtitle of host publicationProceedings of the 5th International Conference on NeuroRehabilitation(ICNR2020), October 13-16,2020
EditorsDiego Torricelli, Metin Akay, Jose L. Pons
ChapterSS3
Pages121-125
Number of pages5
ISBN (Electronic)978-3-030-7-316-5
DOIs
Publication statusE-pub ahead of print/First online - 2 Oct 2021
Event5th International Conference on NeuroRehabilitation, ICNR 2020 - Virtual Event
Duration: 13 Oct 202016 Oct 2020
Conference number: 5

Publication series

NameBiosystems & biorobotics
PublisherSpringerLink
Volume28
ISSN (Print)2195-3562
ISSN (Electronic)2195-3570

Conference

Conference5th International Conference on NeuroRehabilitation, ICNR 2020
Abbreviated titleICNR 2020
CityVirtual Event
Period13/10/2016/10/20

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