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      Correction: Experimental evaluation of the impact of sEMG interfaces in enhancing embodiment of virtual myoelectric prostheses

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          Abstract

          Journal of NeuroEngineering and Rehabilitation (2024) 21:57 10.1186/s12984-024-01352-7 Following publication of the article [1], figure citation was incorrectly given as (see Fig. 1) but should have been (see Fig. 2) under the sub-heading EMG setup and data collection. The original article has been corrected.

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          Experimental evaluation of the impact of sEMG interfaces in enhancing embodiment of virtual myoelectric prostheses

          Introduction Despite recent technological advances that have led to sophisticated bionic prostheses, attaining embodied solutions still remains a challenge. Recently, the investigation of prosthetic embodiment has become a topic of interest in the research community, which deals with enhancing the perception of artificial limbs as part of users’ own body. Surface electromyography (sEMG) interfaces have emerged as a promising technology for enhancing upper-limb prosthetic control. However, little is known about the impact of these sEMG interfaces on users’ experience regarding embodiment and their interaction with different functional levels. Methods To investigate this aspect, a comparison is conducted among sEMG configurations with different number of sensors (4 and 16 channels) and different time delay. We used a regression algorithm to simultaneously control hand closing/opening and forearm pronation/supination in an immersive virtual reality environment. The experimental evaluation includes 24 able-bodied subjects and one prosthesis user. We assess functionality with the Target Achievement Control test, and the sense of embodiment with a metric for the users perception of self-location, together with a standard survey. Results Among the four tested conditions, results proved a higher subjective embodiment when participants used sEMG interfaces employing an increased number of sensors. Regarding functionality, significant improvement over time is observed in the same conditions, independently of the time delay implemented. Conclusions Our work indicates that a sufficient number of sEMG sensors improves both, functional and subjective embodiment outcomes. This prompts discussion regarding the potential relationship between these two aspects present in bionic integration. Similar embodiment outcomes are observed in the prosthesis user, showing also differences due to the time delay, and demonstrating the influence of sEMG interfaces on the sense of agency.
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            Author and article information

            Contributors
            patricia.capsi-morales@tum.de
            Journal
            J Neuroeng Rehabil
            J Neuroeng Rehabil
            Journal of NeuroEngineering and Rehabilitation
            BioMed Central (London )
            1743-0003
            27 April 2024
            27 April 2024
            2024
            : 21
            : 64
            Affiliations
            [1 ]Department of Computer Engineering, Technical University of Munich (TUM), ( https://ror.org/02kkvpp62) Garching bei Munich, Germany
            [2 ]Institute of Robotics and Mechatronics, German Aerospace Center (DLR), ( https://ror.org/04bwf3e34) Oberpfaffenhofen, Germany
            [3 ]Munich Institute of Robotics and Machine Intelligence, Technical University of Munich (TUM), ( https://ror.org/02kkvpp62) Munich, Germany
            [4 ]Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen- Nürnberg (FAU), ( https://ror.org/00f7hpc57) Erlangen, Germany
            [5 ]Department of Electrical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), ( https://ror.org/00f7hpc57) Erlangen, Germany
            Article
            1368
            10.1186/s12984-024-01368-z
            11055259
            38678301
            08ee6902-3a5a-4ed0-9b7e-ba76b773662f
            © The Author(s) 2024

            Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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