Functional Rehabilitation of the Paralyzed Upper Extremity After Spinal Cord Injury by Noninvasive Hybrid Neuroprostheses

Rupp, Rüdiger; Rohm, Martin; Schneiders, Matthias; Kreilinger, Alex; Müller-Putz, Gernot

doi:10.1109/jproc.2015.2395253

Cited by 70 publications

(46 citation statements)

References 88 publications

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“…Particularly, MI based BCI have been used in the rehabilitation such as after stroke or spinal cord injury [21, 22]. However, the performance of SMR-BCI varies substantially among different subjects and among sessions for the same subject even if the same decoding algorithm is used throughout the whole process due to subjects’ learning [23, 24], inconsistent modulation strategy [25] or brain stimulation [26], as well as other non-learning factors such as the shifting of electrode position [27], and changing of skin condition [28].…”

Section: Introductionmentioning

confidence: 99%

Effects of Soft Drinks on Resting State EEG and Brain–Computer Interface Performance

et al. 2017

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Motor imagery-based (MI based) brain-computer interface (BCI) using electroencephalography (EEG) allows users to directly control a computer or external device by modulating and decoding the brain waves. A variety of factors could potentially affect the performance of BCI such as the health status of subjects or the environment. In this study, we investigated the effects of soft drinks and regular coffee on EEG signals under resting state and on the performance of MI based BCI. Twenty-six healthy human subjects participated in three or four BCI sessions with a resting period in each session. During each session, the subjects drank an unlabeled soft drink with either sugar (Caffeine Free Coca-Cola), caffeine (Diet Coke), neither ingredient (Caffeine Free Diet Coke), or a regular coffee if there was a fourth session. The resting state spectral power in each condition was compared; the analysis showed that power in alpha and beta band after caffeine consumption were decreased substantially compared to control and sugar condition. Although the attenuation of powers in the frequency range used for the online BCI control signal was shown, group averaged BCI online performance after consuming caffeine was similar to those of other conditions. This work, for the first time, shows the effect of caffeine, sugar intake on the online BCI performance and resting state brain signal.

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Section: Introductionmentioning

confidence: 99%

Effects of Soft Drinks on Resting State EEG and Brain–Computer Interface Performance

et al. 2017

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“…However, such systems are not ready for the user to use them independently at his/her home. To establish BCI as a neuroprosthesis control for day to day users, some gaps need to be filled up, mainly to delimit the usability difference, reliability, movements in some degree of rotation (Rupp et al, 2015). It was developed the FES controller for prehension restoration in a quadriplegic person through a BCI system using electroencephalographic (EEG) signals.…”

Section: Discussionmentioning

confidence: 99%

Artificial motor control for electrically stimulated upper limbs of plegic or paretic people

et al. 2016

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Introduction: Functional Electrical Stimulation (FES) is a technique used in the restoration and generation of movements performed by subjects with neuromuscular disorders such as spinal cord injury (SCI). The purpose of this article is to outline the state of the art and perspectives of the use of FES in artificial motor control of the upper limbs in paretic or plegic people. Methods: The databases used in papers selection were Google Scholar and Capes' Portals as well as proceedings of the Annual Conference of the International Functional Electrical Stimulation Society (IFESS). Results: Approximately 85% of the reviewed studies showed FES profile with pulse duration ranging from 1 to 300 μs and modulating (burst) frequency between 10 and 40 Hz.Regarding the type of electrodes, 88% of the studies employed transcutaneous electrodes. Conclusion: We concluded that FES with closed-loop feedback and feedforward are the most used and most viable systems for upper limbs motor control, because they perform self-corrections slowing neuromuscular adaptation, allowing different planes and more range of movement and sensory-motor integration. One of the difficulties found in neuroprosthesis systems are electrical wires attached to the user, becoming uninteresting in relation to aesthetics and break. The future perspectives lead to a trend to miniaturization of the stimulation equipment and the availability of wireless networks, which allow the attachment of modules to other components without physical contact, and will become more attractive for daily use.

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“…They range from ordinary triggering of the FES via push button, complex motion capturing via optical systems or inertial sensors, to brain computer interfaces [3,4]. Simple methods lack sufficient involvement and instinctiveness, whereas physiological approaches usually require high costs regarding adaption and training with the individual patient.…”

Section: Introductionmentioning

confidence: 99%

Intention recognition for FES in a grasp-and-release task using volitional EMG and inertial sensors

Salchow

Dorn

Valtin

et al. 2017

Current Directions in Biomedical Engineering

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Functional Electrical Stimulation (FES) facilitates the motor recovery of the hand function after stroke. The integration of biofeedback and other strategies to actively involve a patient in the therapy is important for the rehabilitation progress. We introduce a combined control approach for a FES-driven neuroprosthesis using volitional electromyo-graphy (vEMG) and motion capturing via a novel inertial sensor network for patients that still possess a residual activity in the paralyzed muscles. A real-time vEMG measurement and signal processing in between stimulation pulses has been realized during active FES. Experiments showed that our system allows for quick adaption to individual users.

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Functional Rehabilitation of the Paralyzed Upper Extremity After Spinal Cord Injury by Noninvasive Hybrid Neuroprostheses

Cited by 70 publications

References 88 publications

Effects of Soft Drinks on Resting State EEG and Brain–Computer Interface Performance

Effects of Soft Drinks on Resting State EEG and Brain–Computer Interface Performance

Artificial motor control for electrically stimulated upper limbs of plegic or paretic people

Intention recognition for FES in a grasp-and-release task using volitional EMG and inertial sensors

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