scholarly journals Single-Channel Region-Based Speller for Controlling Home Appliances

2022 ◽  
pp. 541-569
Author(s):  
Praveen Kumar Shukla ◽  
Rahul Kumar Chaurasiya ◽  
Shrish Verma
Keyword(s):  
Single Channel ◽  
Low Cost ◽  
P300 Speller ◽  
Cord Injury ◽  
Control Translation ◽  
Ann Classifier ◽  
The Brain ◽  
Channel Region ◽  
Bci System ◽  
Lateral Sclerosis

The brain-computer interface (BCI) system uses electroencephalography (EEG) signals for correspondence between the human and the outside world. This BCI communication system does not require any muscle action; hence, it can be controlled with the help of brain activities only. Therefore, this kind of system is helpful for patients, who are completely paralyzed or suffering from diseases like ALS (Amyotrophic Lateral Sclerosis), and spinal cord injury, etc., but having a normal functioning brain. A region-based P300 speller system for controlling home electronic appliances is proposed in this article. With the help of the proposed system, users can control and use appliances like an electronic door, fan, light, system, etc., without carrying out any physical movement. The experiments are conducted for five, ten, and fifteen trails for each subject. Among all classifiers, the ANN classifier provides the best off-line experiment accuracy of the order of 80% for fifteen flashes. Moreover, for the control translation, the Arduino module is also designed which is low cost and low power-based and physically controlled a device.

scholarly journals Single-Channel Region-Based Speller for Controlling Home Appliances

2020 ◽  
Vol 11 (4) ◽  
pp. 65-89
Author(s):  
Praveen Kumar Shukla ◽  
Rahul Kumar Chaurasiya ◽  
Shrish Verma
Keyword(s):  
Single Channel ◽  
Low Cost ◽  
P300 Speller ◽  
Cord Injury ◽  
Control Translation ◽  
Ann Classifier ◽  
The Brain ◽  
Channel Region ◽  
Bci System ◽  
Lateral Sclerosis

The brain-computer interface (BCI) system uses electroencephalography (EEG) signals for correspondence between the human and the outside world. This BCI communication system does not require any muscle action; hence, it can be controlled with the help of brain activities only. Therefore, this kind of system is helpful for patients, who are completely paralyzed or suffering from diseases like ALS (Amyotrophic Lateral Sclerosis), and spinal cord injury, etc., but having a normal functioning brain. A region-based P300 speller system for controlling home electronic appliances is proposed in this article. With the help of the proposed system, users can control and use appliances like an electronic door, fan, light, system, etc., without carrying out any physical movement. The experiments are conducted for five, ten, and fifteen trails for each subject. Among all classifiers, the ANN classifier provides the best off-line experiment accuracy of the order of 80% for fifteen flashes. Moreover, for the control translation, the Arduino module is also designed which is low cost and low power-based and physically controlled a device.

scholarly journals Clinical Applications of Brain Computer Interfaces : A Boon for the Future

2021 ◽  
pp. 131-137
Author(s):  
Ishita Singh ◽  
Adwin Manhar
Keyword(s):  
Clinical Applications ◽  
Computer Interface ◽  
External Device ◽  
P300 Speller ◽  
Computer Interfaces ◽  
Brainstem Stroke ◽  
Cord Injury ◽  
The Future ◽  
The Brain ◽  
Lateral Sclerosis

Brain-computer interface (BCI) is the technology act as a interface between the brain and an external device. It converts the signals emitted by the CNS of the brain to artificial output to be understood by the computer. This technology will be most useful to the severely disabled individual or people suffering from amyotrophic lateral sclerosis, brainstem stroke, or any spinal cord injury and thus are impaired of tier ability to communicate and physical functioning. With the fast-paced development and interest of various top-notch companies in this arena due to its positive future Efforts have begun recently to provide safe and secure BCI systems to severely disabled individuals to make their lives easier. In this paper, we will know about BCI , its basic functioning. We will also discuss its clinical application, p300 speller, and its potential for future. Lastly expectation from the future.

scholarly journals Quality Assessment of Single-Channel EEG for Wearable Devices

Sensors ◽  
2019 ◽  
Vol 19 (3) ◽  
pp. 601 ◽  
Author(s):  
Fanny Grosselin ◽  
Xavier Navarro-Sune ◽  
Alessia Vozzi ◽  
Katerina Pandremmenou ◽  
Fabrizio De Vico Fallani ◽  
...  
Keyword(s):  
Quality Assessment ◽  
Single Channel ◽  
Low Cost ◽  
Wearable Devices ◽  
Brain State ◽  
Eeg Signals ◽  
Many Sources ◽  
The Brain

The recent embedding of electroencephalographic (EEG) electrodes in wearable devices raises the problem of the quality of the data recorded in such uncontrolled environments. These recordings are often obtained with dry single-channel EEG devices, and may be contaminated by many sources of noise which can compromise the detection and characterization of the brain state studied. In this paper, we propose a classification-based approach to effectively quantify artefact contamination in EEG segments, and discriminate muscular artefacts. The performance of our method were assessed on different databases containing either artificially contaminated or real artefacts recorded with different type of sensors, including wet and dry EEG electrodes. Furthermore, the quality of unlabelled databases was evaluated. For all the studied databases, the proposed method is able to rapidly assess the quality of the EEG signals with an accuracy higher than 90%. The obtained performance suggests that our approach provide an efficient, fast and automated quality assessment of EEG signals from low-cost wearable devices typically composed of a dry single EEG channel.

scholarly journals Low-Cost Brain-Computer Interface Using the Emotiv Epoc Headset Based on Rotating Vanes

2020 ◽  
Vol 37 (5) ◽  
pp. 831-837
Author(s):  
Mesut Melek ◽  
Negin Manshouri ◽  
Temel Kayikcioglu
Keyword(s):  
Information Transfer ◽  
Brain Computer Interface ◽  
Low Cost ◽  
Computer Interface ◽  
Digital Signals ◽  
Eeg Signals ◽  
The Gaze ◽  
Information Transfer Rate ◽  
The Brain ◽  
Bci System

Detailed In the brain-computer interface system (BCI), electroencephalography (EEG) signals are converted into digital signals and analyzed, allowing direct communication between humans and the electronic devices around them. The convenience of the user and the speed of communication with the surrounding devices are the most important challenges of BCI systems. The Emotiv Epoc headset minimizes the discomfort of the user thanks to its wet electrodes and easy handling. In the continuation of our previous works, in this paper, we developed our BCI system based on the gaze at the rotating vanes using the inexpensive Emotiv Epoc headset. In addition to user comfort, our design has an acceptable mean accuracy rate (ACC) and mean information transfer rate (ITR) compared to similar systems.

scholarly journals Brain–computer interfaces for human gait restoration

2021 ◽  
Author(s):  
Zoran Nenadic
Keyword(s):  
Stroke Rehabilitation ◽  
Low Cost ◽  
Human Gait ◽  
Virtual Reality Environment ◽  
Non Invasive ◽  
Computer Interfaces ◽  
Cord Injury ◽  
Neurological Injuries ◽  
Online Tests ◽  
Bci System

AbstractIn this review article, we present more than a decade of our work on the development of brain–computer interface (BCI) systems for the restoration of walking following neurological injuries such as spinal cord injury (SCI) or stroke. Most of this work has been in the domain of non-invasive electroencephalogram-based BCIs, including interfacing our system with a virtual reality environment and physical prostheses. Real-time online tests are presented to demonstrate the ability of able-bodied subjects as well as those with SCI to purposefully operate our BCI system. Extensions of this work are also presented and include the development of a portable low-cost BCI suitable for at-home use, our ongoing efforts to develop a fully implantable BCI for the restoration of walking and leg sensation after SCI, and our novel BCI-based therapy for stroke rehabilitation.

scholarly journals Brain-Machine Interfaces: Powerful Tools for Clinical Treatment and Neuroscientific Investigations

2018 ◽  
Vol 25 (2) ◽  
pp. 139-154 ◽  
Author(s):  
Marc W. Slutzky
Keyword(s):  
Brain Machine Interfaces ◽  
Brain Physiology ◽  
The Past ◽  
Computer Interfaces ◽  
Cord Injury ◽  
Behavior Learning ◽  
Primary Focus ◽  
The Brain ◽  
Lateral Sclerosis

Brain-machine interfaces (BMIs) have exploded in popularity in the past decade. BMIs, also called brain-computer interfaces, provide a direct link between the brain and a computer, usually to control an external device. BMIs have a wide array of potential clinical applications, ranging from restoring communication to people unable to speak due to amyotrophic lateral sclerosis or a stroke, to restoring movement to people with paralysis from spinal cord injury or motor neuron disease, to restoring memory to people with cognitive impairment. Because BMIs are controlled directly by the activity of prespecified neurons or cortical areas, they also provide a powerful paradigm with which to investigate fundamental questions about brain physiology, including neuronal behavior, learning, and the role of oscillations. This article reviews the clinical and neuroscientific applications of BMIs, with a primary focus on motor BMIs.

Native Ubiquitin Structural Changes Resulting from Complexation with β-methylamino-L-alanine (BMAA)

2020 ◽  
Author(s):  
Katie Mae Wilson ◽  
Aurora Burkus-Matesevac ◽  
Samuel Maddox ◽  
Christopher Chouinard
Keyword(s):  
Structural Changes ◽  
Noncovalent Complex ◽  
Unfolded Protein ◽  
Protein Size ◽  
High Concentrations ◽  
The Unfolded Protein Response ◽  
Critical Binding ◽  
Protein Response ◽  
The Brain ◽  
Lateral Sclerosis

β-methylamino-L-alanine (BMAA) has been linked to the development of neurodegenerative (ND) symptoms following chronic environmental exposure through water and dietary sources. The brains of those affected by this condition, often referred to as amyotrophic lateral sclerosis-parkinsonism-dementia complex (ALS-PDC), have exhibited the presence of plaques and neurofibrillary tangles (NFTs) from protein aggregation. Although numerous studies have sought to better understand the correlation between BMAA exposure and onset of ND symptoms, no definitive link has been identified. One prevailing hypothesis is that BMAA acts a small molecule ligand, complexing with critical proteins in the brain and reducing their function. The objective of this research was to investigate the effects of BMAA exposure on the native structure of ubiquitin. We hypothesized that formation of a Ubiquitin+BMAA noncovalent complex would alter the protein’s structure and folding and ultimately affect the ubiquitinproteasome system (UPS) and the unfolded protein response (UPR). Ion mobility-mass spectrometry revealed that at sufficiently high concentrations BMAA did in fact form a noncovalent complex with ubiquitin, however similar complexes were identified for a range of additional amino acids. Collision induced unfolding (CIU) was used to interrogate the unfolding dynamics of native ubiquitin and these Ubq-amino acid complexes and it was determined that complexation with BMAA led to a significant alteration in native protein size and conformation, and this complex required considerably more energy to unfold. This indicates that the complex remains more stable under native conditions and this may indicate that BMAA has attached to a critical binding location.

Native Ubiquitin Structural Changes Resulting from Complexation with β-methylamino-L-alanine (BMAA)

2020 ◽  
Author(s):  
Katie Mae Wilson ◽  
Aurora Burkus-Matesevac ◽  
Samuel Maddox ◽  
Christopher Chouinard
Keyword(s):  
Structural Changes ◽  
Noncovalent Complex ◽  
Unfolded Protein ◽  
Protein Size ◽  
High Concentrations ◽  
The Unfolded Protein Response ◽  
Critical Binding ◽  
Protein Response ◽  
The Brain ◽  
Lateral Sclerosis

β-methylamino-L-alanine (BMAA) has been linked to the development of neurodegenerative (ND) symptoms following chronic environmental exposure through water and dietary sources. The brains of those affected by this condition, often referred to as amyotrophic lateral sclerosis-parkinsonism-dementia complex (ALS-PDC), have exhibited the presence of plaques and neurofibrillary tangles (NFTs) from protein aggregation. Although numerous studies have sought to better understand the correlation between BMAA exposure and onset of ND symptoms, no definitive link has been identified. One prevailing hypothesis is that BMAA acts a small molecule ligand, complexing with critical proteins in the brain and reducing their function. The objective of this research was to investigate the effects of BMAA exposure on the native structure of ubiquitin. We hypothesized that formation of a Ubiquitin+BMAA noncovalent complex would alter the protein’s structure and folding and ultimately affect the ubiquitinproteasome system (UPS) and the unfolded protein response (UPR). Ion mobility-mass spectrometry revealed that at sufficiently high concentrations BMAA did in fact form a noncovalent complex with ubiquitin, however similar complexes were identified for a range of additional amino acids. Collision induced unfolding (CIU) was used to interrogate the unfolding dynamics of native ubiquitin and these Ubq-amino acid complexes and it was determined that complexation with BMAA led to a significant alteration in native protein size and conformation, and this complex required considerably more energy to unfold. This indicates that the complex remains more stable under native conditions and this may indicate that BMAA has attached to a critical binding location.

PROTECTIVE EFFECT OF SOME SALTS 2-AMINOETHANESULFONIC ACID IN AN EXPERIMENTAL MODEL OF DEGENERATIVE SPINAL CORD INJURY

2020 ◽  
pp. 41-47
Author(s):  
Semeleva E.V. ◽  
Blinova E.V. ◽  
Zaborovsky A.V. ◽  
Vasilkina O.V. ◽  
Shukurov A.S.
Keyword(s):  
Spinal Cord ◽  
Morphological Changes ◽  
Male Rats ◽  
Zinc Salt ◽  
Control Group ◽  
Morphological Studies ◽  
Cord Injury ◽  
The Central Nervous System ◽  
Acid Compound ◽  
Lateral Sclerosis

In this work, we studied the pharmacological activity of zinc and magnesium salts of 2-aminoethanesulfonic acid in white non-linear male rats with amyotrophic lateral sclerosis, which was modeled by neurotoxicantsimplication into the pelvic part of spinal cord. After the reproduction of the pathology in animals, the indices of motor activity were recorded in the Rotarod test, and morphological studies of spinal cord sections stained according to Nisl in the Belshovsky modification were carried out. It was shown that the magnesium salt of 2-aminoethanesulfonic acid (compound LHT-317) to a greater extent reduces the development of motor disorders in experimental animals compared with the control group on the 4th day of observation. The course of intravenous administration of the studied compounds of 2-aminoethanesulfonic acid did not inhibit morphological changes in the spinal cord that develop in degenerative-dystrophic pathology of the central nervous system: connections. Moreover, if, against the background of treatment with zinc salt, the total area of motor zones in animals of the experimental group exceeded that of control rats, then the number of motoneurons did not differ from the control.

Activation of Melanocortin-4 Receptor by a Synthetic Agonist Inhibits Ethanolinduced Neuroinflammation in Rats

2020 ◽  
Vol 25 (45) ◽  
pp. 4799-4805 ◽  
Author(s):  
Osvaldo Flores-Bastías ◽  
Gonzalo I. Gómez ◽  
Juan A. Orellana ◽  
Eduardo Karahanian
Keyword(s):  
Prefrontal Cortex ◽  
Alcohol Consumption ◽  
Ethanol Intake ◽  
Neuroinflammatory Response ◽  
Agonist Peptide ◽  
Melanocortin 4 Receptor ◽  
Tnf Α ◽  
Cord Injury ◽  
High Ethanol ◽  
The Brain

Background: High ethanol intake induces a neuroinflammatory response resulting in the subsequent maintenance of chronic alcohol consumption. The melanocortin system plays a pivotal role in the modulation of alcohol consumption. Interestingly, it has been shown that the activation of melanocortin-4 receptor (MC4R) in the brain decreases the neuroinflammatory response in models of brain damage other than alcohol consumption, such as LPS-induced neuroinflammation, cerebral ischemia, glutamate excitotoxicity, and spinal cord injury. Objectives: In this work, we aimed to study whether MC4R activation by a synthetic MC4R-agonist peptide prevents ethanol-induced neuroinflammation, and if alcohol consumption produces changes in MC4R expression in the hippocampus and hypothalamus. Methods: Ethanol-preferring Sprague Dawley rats were selected offering access to 20% ethanol on alternate days for 4 weeks (intermittent access protocol). After this time, animals were i.p. administered an MC4R agonist peptide in the last 2 days of the protocol. Then, the expression of the proinflammatory cytokines interleukin 6 (IL-6), interleukin 1-beta (IL-1β), and tumor necrosis factor-alpha (TNF-α) were measured in the hippocampus, hypothalamus and prefrontal cortex. It was also evaluated if ethanol intake produces alterations in the expression of MC4R in the hippocampus and the hypothalamus. Results: Alcohol consumption increased the expression of MC4R in the hippocampus and the hypothalamus. The administration of the MC4R agonist reduced IL-6, IL-1β and TNF-α levels in hippocampus, hypothalamus and prefrontal cortex, to those observed in control rats that did not drink alcohol. Conclusion: High ethanol consumption produces an increase in the expression of MC4R in the hippocampus and hypothalamus. The administration of a synthetic MC4R-agonist peptide prevents neuroinflammation induced by alcohol consumption in the hippocampus, hypothalamus, and prefrontal cortex. These results could explain the effect of α-MSH and other synthetic MC4R agonists in decreasing alcohol intake through the reduction of the ethanol-induced inflammatory response in the brain.

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