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Novel Wearable Device for Mindful Sensorimotor Training: Integrating Motor Decoding and Somatosensory Stimulation for Neurorehabilitation
Sahlgrens Univ Hosp, Ctr Adv Reconstruct Extrem CARE, S-43180 Mölndal, Sweden.;Bion Inst, Melbourne, Vic 3002, Australia.;Univ Melbourne, Med Bion Dept, Fitzroy, Vic 3065, Australia.;NeuroBioniX, Melbourne, Vic 3065, Australia..ORCID iD: 0000-0002-9014-8636
Chalmers Univ Technol, Dept Elect Engn, S-41296 Gothenburg, Sweden.;Chalmers Univ Technol, Dept Microtechnol & Nanosci, S-41296 Gothenburg, Sweden..ORCID iD: 0000-0003-0074-8185
Chalmers Univ Technol, Dept Elect Engn, S-41296 Gothenburg, Sweden..ORCID iD: 0000-0001-9535-3746
KTH, School of Engineering Sciences (SCI), Engineering Mechanics, Vehicle Engineering and Solid Mechanics. (Promobilia MoveAbility Lab)ORCID iD: 0000-0003-4571-1984
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2024 (English)In: IEEE transactions on neural systems and rehabilitation engineering, ISSN 1534-4320, E-ISSN 1558-0210, Vol. 32, p. 1515-1523Article in journal (Refereed) Published
Abstract [en]

Sensorimotor impairment is a prevalent condition requiring effective rehabilitation strategies. This study introduces a novel wearable device for Mindful Sensorimotor Training (MiSMT) designed for sensory and motor rehabilitation. Our MiSMT device combines motor training using myoelectric pattern recognition along sensory training using two tactile displays. This device offers a comprehensive solution, integrating electromyography and haptic feedback, lacking in existing devices. The device features eight electromyography channels, a rechargeable battery, and wireless Bluetooth or Wi-Fi connectivity for seamless communication with a computer or mobile device. Its flexible material allows for adaptability to various body parts, ensuring ease of use in diverse patients. The two tactile displays, with 16 electromagnetic actuators each, provide touch and vibration sensations up to 250 Hz. In this proof-of-concept study, we show improved two-point discrimination after 5 training sessions in participants with intact limbs (p=0.047). We also demonstrated successful acquisition, processing, and decoding of myoelectric signals in offline and online evaluations. In conclusion, the MiSMT device presents a promising tool for sensorimotor rehabilitation by combining motor execution and sensory training benefits. Further studies are required to assess its effectiveness in individuals with sensorimotor impairments. Integrating mindful sensory and motor training with innovative technology can enhance rehabilitation outcomes and improve the quality of life for those with sensorimotor impairments.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2024. Vol. 32, p. 1515-1523
Keywords [en]
Machine learning, motor learning, motor training, neurorehabilitation, plasticity-guided treatment, sensory training, serious games
National Category
Physiotherapy
Identifiers
URN: urn:nbn:se:kth:diva-346073DOI: 10.1109/TNSRE.2024.3379996ISI: 001200025700001PubMedID: 38512736Scopus ID: 2-s2.0-85188946896OAI: oai:DiVA.org:kth-346073DiVA, id: diva2:1855645
Note

QC 20240502

Available from: 2024-05-02 Created: 2024-05-02 Last updated: 2025-02-11Bibliographically approved

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Truong, Minh Tat Nhat

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