Treffer: NeuraLoop: a high bandwidth closed-loop human-machine interface.

Title:
NeuraLoop: a high bandwidth closed-loop human-machine interface.
Authors:
Pelaez Murciego L; Department of Health Science and Technology, The Faculty of Medicine, Aalborg University, Aalborg, Denmark., Dam ET; Department of Health Science and Technology, The Faculty of Medicine, Aalborg University, Aalborg, Denmark., Dalgaard HH; Department of Health Science and Technology, The Faculty of Medicine, Aalborg University, Aalborg, Denmark., Jorgovanovic N; Department of Systems, Signals and Control, University of Novi Sad, Novi Sad, Serbia., Strbac M; Tecnalia Serbia, Belgrade, Serbia., Spaich EG; Department of Health Science and Technology, The Faculty of Medicine, Aalborg University, Aalborg, Denmark., Dosen S; Department of Health Science and Technology, The Faculty of Medicine, Aalborg University, Aalborg, Denmark. sdosen@hst.aau.dk.
Source:
Journal of neuroengineering and rehabilitation [J Neuroeng Rehabil] 2025 Dec 12; Vol. 23 (1), pp. 20. Date of Electronic Publication: 2025 Dec 12.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: BioMed Central Country of Publication: England NLM ID: 101232233 Publication Model: Electronic Cited Medium: Internet ISSN: 1743-0003 (Electronic) Linking ISSN: 17430003 NLM ISO Abbreviation: J Neuroeng Rehabil Subsets: MEDLINE
Imprint Name(s):
Original Publication: [London] : BioMed Central, 2004-
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Grant Information:
grant number: 2071-00039B Innovation Foundation Denmark program Innoexplorer; 2071-00039B Innovation Foundation Denmark program Innoexplorer
Contributed Indexing:
Keywords: Bidirectional human-machine interface; Closed-loop control; Electromyography; Electrotactile stimulation; Feedback; Micro-gesture; Myocontrol; Textile electrode; Wearable
Entry Date(s):
Date Created: 20251213 Date Completed: 20260120 Latest Revision: 20260122
Update Code:
20260122
PubMed Central ID:
PMC12817707
DOI:
10.1186/s12984-025-01815-5
PMID:
41388309
Database:
MEDLINE

Weitere Informationen

Background: Myoelectric interfaces have emerged as powerful tools for human-machine interaction (HMI), enabling intuitive control of virtual and physical devices. However, most existing systems are limited by low spatial resolution and unidirectional communication. To address these limitations, we developed NeuraLoop, a wearable, high-bandwidth, bidirectional interface that integrates myoelectric (EMG) signal acquisition and electrotactile stimulation feedback within a single wearable textile-based platform.
Methods: NeuraLoop comprises a flexible matrix of 32 EMG recording and 32 electrotactile stimulation pads controlled by a compact electronic unit. We evaluated the system in two experimental tasks involving ten healthy subjects to demonstrate: (1) online classification of four transient thumb micro-gestures (thumb rightwards, leftwards, upwards, and downwards swipe directions), and (2) closed-loop control of a virtual cursor using micro-gesture commands and spatially encoded tactile feedback. A time-division multiplexing (TDM) strategy was implemented to enable simultaneous stimulation and recording.
Results: The subjects achieved a median success rate of 82% on the first attempt and over 94% within two attempts during online classification with visual feedback. All four micro-gestures were classified with similar accuracy. In the closed-loop control task with tactile feedback, participants navigated a 3 × 4 grid using only electrotactile stimulation, achieving 70% accuracy for exact target hits and 95% when including the hits in the neighboring cells (1 cell distance error).
Conclusions: NeuraLoop demonstrates the feasibility of high-bandwidth, bidirectional HMI using a wearable, textile-based interface. The system enables accurate recognition of subtle micro-gestures and effective delivery of spatially encoded tactile feedback. These capabilities open new possibilities for intuitive control in applications such as prosthetics, rehabilitation, and virtual/augmented reality. Future work will explore multimodal feedback encoding and proportional gesture control.
(© 2025. The Author(s).)

Declarations. Ethics approval and consent to participate: Prior to the start of the experimental session, all participants received oral and written information about the study and provided their written informed consent. The study was conducted in accordance with the Declaration of Helsinki and approved by the North Denmark Region Committee on Health Research Ethics (N-20220001). Competing interests: LPM founded a startup to further develop and apply the NeuraLoop technology. SD is an Associate Editor in the Journal of NeuroEngineering and Rehabilitation.