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Global Translational Medicine                                       BCI-FES with static magnetic field in SCI



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            Board  hardware. The OpenVibe  software platform is used   skin impedance. The frequency parameters of the electrical
            for the acquisition of signals and consists of an open-source   stimulation were: 1 kHz carrier frequency (positive: 200 μs +
            tool in C++ that can be customized for different purposes.   negative: 200 μs + off: 800 μs); 20 – 40 Hz modulated frequency
            The EEG acquisition, pre-, and processing methods were   (24 ms active period) to rise and decay pulse trains. The
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            based on those described by Broniera Junior et al.  After   amplitude was modulated based on the instant of maximum
            the EEG electrodes are properly positioned, the training   electrically stimulated extension.  During the feedback
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            of the sNES begins, which is divided into two phases: the   phase, communication took place through Bluetooth with an
            calibration phase, in which the acquisition of the sNES and   electrical stimulator, which initiated activation. The activation
            adjustment of the classifier (common spatial pattern [CSP]   condition of sFES occurs when the probability of similarity of
            filter and linear discriminant analysis [LDA]) are carried   the classifier output signal is ≥72%. The equipment assembly
            out, and the feedback phase. In the calibration phase, the   for the participant is illustrated in Figure 2.
            participant was instructed to perform knee extension motor
            imagery  or  remain  inactive.  The  testing  procedure  was   2.5. Data analysis
            adapted from Abdalsalam et al.,  where participants looked   The analyses conducted in this pilot study were inherently
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            at a reference while simultaneously receiving instructions   descriptive and did not involve the application of statistical
            to perform motor imagery. In this study, an instructor was   tests.
            introduced to observe the movement guidelines provided by
            the software and reproduce them physically. The instructor   3. Results
            was seated in front of the participant, giving the voice   The present study analyzed the feasibility of applying
            command to imagine the extension movement and perform   the sNES-sFES interface with a static magnetic field to a
            the  movement simultaneously,  or the instructor could   person with a complete SCI.
            provide both voice and motor commands for the participant
            to remain inactive. Five to ten repetitions were performed   3.1. Neuromuscular assessment
            with an average duration of 8s for two different classes: (i)   During  the  neuromuscular  evaluation,  the  participants
            Motor imagery and (ii) rest. The sequence of motor imagery   did not experience simultaneous muscle spasms. In both
            classes presented to the individual was random to avoid   the pre- and post-evaluations, the sEMG-RMS values were
            bias. In the feedback phase of the sNES, participants were   0% (about the biceps brachii muscle in the pre-evaluation
            again instructed to imagine the movement indicated by the   [Section 2.2.3]) for the evaluated muscles, rectus femoris,
            instructor. At each motor imagery test, new data acquisition   and  vastus lateralis,  bilaterally. Owing  to  the  low value
            from the sNES channels was performed, and simultaneously,   (indicating only electrical noise), sEMG-MDF analysis was
            the classifier produced a real value, quantifying the class   unfeasible.
            probability associated with the participant brainwave
            response. Once calculated, the probability of class   3.2. Spasticity
            association (actual value from 0 to 100 %) was transferred   The results of assessing the muscle tone of the knee extensors
            from the OpenVibe  software to a network-based interface   and plantiflexors ranged from 1 (increased tone at the
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            (VRPN: Virtual-Reality Peripheral Network) developed in
            C++ in the Microsoft Visual Studio  environment.  The   beginning or end of the range of motion) to 1+ (increased
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            sNES received by the VRPN were processed and sent in   tone in less than half of the range of motion, manifested
            binary form through Bluetooth to the electrical stimulator.  by abrupt tension followed by minimum resistance). In
                                                               most sessions, the pre-intervention (intraday) muscle tone
            2.4.3. Surface functional electrical stimulation   assessment was 1+. The exceptions were the third from
                                                               the last and last sessions, with the pre-outcome being 1.
            For artificial muscle activation,  an electrical stimulator was   In the post-intervention (intraday) assessment, there was a
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            customized exclusively for this work, following the criteria   reduction in muscle tone in most sessions.
            outlined in the IEC 60601-2-10 standard.  Two self-adhesive
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            electrodes, sized 5 × 9 cm, were placed in the anterior region   3.3. Interventions
            of the volunteer’s right thigh according to the methodology
            described  by  Krueger  et al.   One  of  the  electrodes  was   3.3.1. Static magnetic field
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            positioned at the lower edge, 3  cm from the base of the   In the present study, the SMF was used in association with
            patella, and the other over the femoral triangle  to stimulate   NES-FES, with a total duration of approximately 1 h. We
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            the quadriceps muscle group through the femoral nerve.    did not identify an improvement in the neuromuscular
            According  to  Krueger  et al.,   after  fixing  the  electrodes,   condition, possibly due to factors related to the severity of a
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            an interval of 10  min was used to stabilize the electrode-  complete and chronic SCI in returning muscle contractions.
            Volume 3 Issue 1 (2024)                         5                        https://doi.org/10.36922/gtm.2285
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