EEG-FES-Force-MMG closed-loop control systems of a volunteer with paraplegia considering motor imagery with fatigue recognition and automatic shut-off

Broniera, Paulo; Campos, Daniel Prado; Lazzaretti, André E.; Nohama, Percy; Carvalho, Aparecido Augusto de; Krueger, Eddy; Teixeira, Marcelo Carvalho Minhoto

doi:10.1016/j.bspc.2021.102662

Cited by 7 publications

(2 citation statements)

References 40 publications

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“…Moreover, it can be applied to control intelligent devices, such as smart helmets. For example, when wearers experience fatigue, distraction, or fainting, a control feedback system can swiftly detect these anomalies and provide timely alerts or prompts, thereby avoiding potential hazards [83,84]. Furthermore, a combination of EEG acquisition systems and control feedback systems can be employed in domains such as smart homes and intelligent transportation, enabling more accurate and convenient control methods [85][86][87][88][89].…”

Section: Eeg Signal Control and Feedbackmentioning

confidence: 99%

Application and Development of EEG Acquisition and Feedback Technology: A Review

Qin,

Zhang,

Zhang

et al. 2023

Biosensors

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This review focuses on electroencephalogram (EEG) acquisition and feedback technology and its core elements, including the composition and principles of the acquisition devices, a wide range of applications, and commonly used EEG signal classification algorithms. First, we describe the construction of EEG acquisition and feedback devices encompassing EEG electrodes, signal processing, and control and feedback systems, which collaborate to measure faint EEG signals from the scalp, convert them into interpretable data, and accomplish practical applications using control feedback systems. Subsequently, we examine the diverse applications of EEG acquisition and feedback across various domains. In the medical field, EEG signals are employed for epilepsy diagnosis, brain injury monitoring, and sleep disorder research. EEG acquisition has revealed associations between brain functionality, cognition, and emotions, providing essential insights for psychologists and neuroscientists. Brain–computer interface technology utilizes EEG signals for human–computer interaction, driving innovation in the medical, engineering, and rehabilitation domains. Finally, we introduce commonly used EEG signal classification algorithms. These classification tasks can identify different cognitive states, emotional states, brain disorders, and brain–computer interface control and promote further development and application of EEG technology. In conclusion, EEG acquisition technology can deepen the understanding of EEG signals while simultaneously promoting developments across multiple domains, such as medicine, science, and engineering.

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Section: Eeg Signal Control and Feedbackmentioning

confidence: 99%

Application and Development of EEG Acquisition and Feedback Technology: A Review

Qin,

Zhang,

Zhang

et al. 2023

Biosensors

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show abstract

“…Coherence between EEG/MEG and EMG was found in frequencies of 8–30 Hz [ 9 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 ]. Today, investigations of EEG and MMG are considered [ 29 ]. However, to the authors’ knowledge, their coherence has not been considered so far.…”

Section: Introductionmentioning

confidence: 99%

Case Study: Intra- and Interpersonal Coherence of Muscle and Brain Activity of Two Coupled Persons during Pushing and Holding Isometric Muscle Action

Schaefer

Bittmann

2022

Brain Sciences

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Inter-brain synchronization is primarily investigated during social interactions but had not been examined during coupled muscle action between two persons until now. It was previously shown that mechanical muscle oscillations can develop coherent behavior between two isometrically interacting persons. This case study investigated if inter-brain synchronization appears thereby, and if differences of inter- and intrapersonal muscle and brain coherence exist regarding two different types of isometric muscle action. Electroencephalography (EEG) and mechanomyography/mechanotendography (MMG/MTG) of right elbow extensors were recorded during six fatiguing trials of two coupled isometrically interacting participants (70% MVIC). One partner performed holding and one pushing isometric muscle action (HIMA/PIMA; tasks changed). The wavelet coherence of all signals (EEG, MMG/MTG, force, ACC) were analyzed intra- and interpersonally. The five longest coherence patches in 8–15 Hz and their weighted frequency were compared between real vs. random pairs and between HIMA vs. PIMA. Real vs. random pairs showed significantly higher coherence for intra-muscle, intra-brain, and inter-muscle-brain activity (p < 0.001 to 0.019). Inter-brain coherence was significantly higher for real vs. random pairs for EEG of right and central areas and for sub-regions of EEG left (p = 0.002 to 0.025). Interpersonal muscle-brain synchronization was significantly higher than intrapersonal one, whereby it was significantly higher for HIMA vs. PIMA. These preliminary findings indicate that inter-brain synchronization can arise during muscular interaction. It is hypothesized both partners merge into one oscillating neuromuscular system. The results reinforce the hypothesis that HIMA is characterized by more complex control strategies than PIMA. The pilot study suggests investigating the topic further to verify these results on a larger sample size. Findings could contribute to the basic understanding of motor control and is relevant for functional diagnostics such as the manual muscle test which is applied in several disciplines, e.g., neurology, physiotherapy.

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Influence of EEG channel reduction on lower limb motor imagery during electrical stimulation in healthy and paraplegic subjects

et al. 2022

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EEG-FES-Force-MMG closed-loop control systems of a volunteer with paraplegia considering motor imagery with fatigue recognition and automatic shut-off

Cited by 7 publications

References 40 publications

Application and Development of EEG Acquisition and Feedback Technology: A Review

Application and Development of EEG Acquisition and Feedback Technology: A Review

Case Study: Intra- and Interpersonal Coherence of Muscle and Brain Activity of Two Coupled Persons during Pushing and Holding Isometric Muscle Action

Influence of EEG channel reduction on lower limb motor imagery during electrical stimulation in healthy and paraplegic subjects

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