Hybrid Neural Interfaces (organized by UM)
Hybrid neural interfaces and their use in different
applications scenarios.
Was hosted on July 8th - 12th
2024.
Summer schools
Workshops
HybridNeuro final workshop in Maribor, Slovenia
Coming in 2025!
MOOC: Hybrid Neuroscience
MOOC on Hybrid neuroscience
Coming in 2025!
Webinars
Technology Transfer Skills
Regulatory Strategies in Europe
Coming in 2025!
Soft Skills
Communication and Management
Coming in 2025!
HybridNeuro Hub
Deliverables
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Progress report
Mid-term technical and financial report to the EC, including the progress report. -
Data Management Plan
Data Management Plan. -
Training activities: workshops, summer schools, hands-on training (mid-term)
Training activities: workshops, summer schools, hands-on training (mid-term). -
Welcome Protocol
The welcome protocol contains procedures related to:
1) Incorporation to the research group,
2) Knowing the campus and the city,
3) Research infrastructure. -
Handbook of management
Project management handbook summarizes all the required knowledge for the good management of the project (in terms of administrative forms, financial aspects, quality process, etc.). -
One Video News Releases
One Video News Releases. -
Established measurement protocol with descripton of prepared and required instrumentation
Established measurement protocol with descripton of prepared and required instrumentation. -
Project Website
Project Website. -
Communication and dissemination and exploitation plan
Communication and dissemination and exploitation plan.
Datasets
Simulated HDEMG data of biceps brachii muscle during isometric elbow flexion
Authors: Aleš Holobar, Dario Farina
Short example of Biceps Brachii muscle surface HDEMG decomposition using the DEMUSE Tool
Author: Aleš Holobar
Publications
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Kutoš L.; Škarabot J.; Holobar A. Identifikacija gruč neločljivih motoričnih enot iz večkanalnih površinskih elektromiogramov dvoglave nadlahtne mišice, 32th International Electrotechnical and Computer Science Conference ERK 2023, September 2023.
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Murks N.; Škarabot J.; Kramberger M.; Sedej G.; Valenčič T.; Connelly C. D.; Thomason H.; Divjak M.; Holobar A.; On time effectiveness of manual editing of motor unit spike trains, ISEK XXIV. [S. l.]: International Society of Electrophysiology and Kinesiology, 2024, p. 79.
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Kutoš L.; Divjak M.; Holobar A.; Activity index outperforms cumulative spike train and amplitude envelopes in surface EMG coherence analysis, ISEK XXIV. [S. l.]: International Society of Electrophysiology and Kinesiology, 2024, p. 81.
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Kutoš L.; Kalc M.; Kramberger M.; Urh F.; Holobar A.; On the efficacy of coherence-based assessment of functional coupling between pools of motor units, 33th International Electrotechnical and Computer Science Conference ERK 2024, September 2024.
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Murks N.; Škarabot J.; Kramberger M.; Sedej G.; Valenčič T.; Connely, C. D.; Thomason H.; Divjak M.; Holobar A.; Motor unit editing time in high-density EMG decomposition decreases with the operator's experience and pulse-to-noise ratio but does not depend on simulated muscle, 33th International Electrotechnical and Computer Science Conference ERK 2024, September 2024.
