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Electrocorticogram encoding of upper extremity movement duration
2014
2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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Electrocorticogram (ECoG) is a promising long-term signal acquisition platform for brain-computer interface (BCI) systems such as upper extremity prostheses. ...
The persistence of power bursts for the duration of the movement suggests that the primary motor cortex (M1) is likely active for the entire duration of a movement, instead of providing a marker for the ...
INTRODUCTION Subdurally-recorded electrocorticogram (ECoG) is a promising long-term signal acquisition platform for braincomputer interface (BCI) systems, such as upper extremity prostheses. ...
doi:10.1109/embc.2014.6943822
pmid:25570190
pmcid:PMC6508956
fatcat:gtrt7nloajcndmpxw4tyavs5eu
Electrocorticogram encoding of upper extremity movement trajectories
2013
2013 6th International IEEE/EMBS Conference on Neural Engineering (NER)
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This study seeks to improve the fundamental understanding of the ECoG signal features underlying upper extremity movements to guide better BCI design. ...
Subjects undergoing ECoG electrode implantation performed a series of elementary upper extremity movements in an intermittent flexion and extension manner. ...
Recently, there has been a growing interest in using electrocorticogram (ECoG) as a longterm signal acquisition platform for BCI-control of upper extremity prostheses. ...
doi:10.1109/ner.2013.6696212
fatcat:o4l22czufneqppimct43fc377u
Electrocorticogram encoding of upper extremity movement trajectories
[article]
2014
arXiv
pre-print
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This study seeks to improve the fundamental understanding of the ECoG signal features underlying upper extremity movements to guide better BCI design. ...
Subjects undergoing ECoG electrode implantation performed a series of elementary upper extremity movements in an intermittent flexion and extension manner. ...
Recently, there has been a growing interest in using electrocorticogram (ECoG) as a longterm signal acquisition platform for BCI-control of upper extremity prostheses. ...
arXiv:1402.5996v1
fatcat:dvh2wrdk7nacrau4fl3zfxdiia
MEG studies of motor cortex gamma oscillations: evidence for a gamma "fingerprint" in the brain?
2013
Frontiers in Human Neuroscience
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Here we summarize contributions of MEG to our understanding of movement-evoked gamma oscillations, including evidence that transient gamma bursts during the performance of specific movements constitutes ...
The human motor cortex exhibits transient bursts of high frequency gamma oscillations in the 60-90 Hz range during movement. ...
For example, upper limb movements should activate a larger region of MI than lower limb movements, the latter showing significantly lower gamma frequency (Cheyne et al., 2008) . ...
doi:10.3389/fnhum.2013.00575
pmid:24062675
pmcid:PMC3774986
fatcat:zn7x4nmk7jbvjprxswac6reu5y
Application of Artificial Intelligence (AI) in Prosthetic and Orthotic Rehabilitation
[chapter]
2020
Service Robotics [Working Title]
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The concept of neural network has been used by the leading manufacturers of rehabilitation aids for simulating various anatomical and biomechanical functions of the lost parts of the human body. ...
Technological integration of Artificial Intelligence (AI) and machine learning in the Prosthetic and Orthotic industry and in the field of assistive technology has become boon for the Persons with Disabilities ...
AI in upper extremity prosthesis and orthosis The artificial Intelligence in upper extremity prosthesis used as direct control and indirect control from the neural network by various signal, sensor, controller ...
doi:10.5772/intechopen.93903
fatcat:jp2h7xcms5h3tjx7ichkckplty
Feel Your Reach: An EEG-Based Framework to Continuously Detect Goal-Directed Movements and Error Processing to Gate Kinesthetic Feedback Informed Artificial Arm Control
2022
Frontiers in Human Neuroscience
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decoders' performance while participants attempt to perform upper-limb movements. ...
Establishing the basic knowledge, methodology, and technology for a framework for the continuous decoding of hand/arm movement intention was the aim of the ERC-funded project "Feel Your Reach". ...
ACKNOWLEDGMENTS We acknowledge the participation of about 320 participants, about 10 with spinal cord injury, in more than 20 studies performed during the runtime of ''Feel Your Reach''. ...
doi:10.3389/fnhum.2022.841312
pmid:35360289
pmcid:PMC8961864
fatcat:mkselw7a5jemnlq5ibvqh2wpte
Transition from the locked in to the completely locked-in state: A physiological analysis
2011
Clinical Neurophysiology
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Results: At the very end of the LIS there was no facial muscle activity, nor external anal sphincter but eye control. Eye movements were slow and lasted for short periods only. ...
During CLIS event related brain potentials (ERP) to passive limb movements and auditory stimuli were recorded, vibrotactile stimulation of different body parts resulted in no ERP response. ...
Funding was provided by the Deutsche Forschungsgemeinschaft (DFG GH 94/2-1, DFG EC 307 BI 195), The ERC grant 227632-BCCI and the German Ministry of Education and Research (Bernstein Centers 01GQ0831 ...
doi:10.1016/j.clinph.2010.08.019
pmid:20888292
fatcat:tnlz56f3ezdl3hqcwe7x2je6ne
DARPA-funded efforts in the development of novel brain–computer interface technologies
2015
Journal of Neuroscience Methods
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Finally, this review includes a summary of some of the remaining challenges for the field of BCI, as well as the goals of new DARPA efforts in this domain. ...
This review highlights some of DARPA's major advances in the field of BCI, particularly those made in recent years. ...
Major upper extremity disabilities are a significant problem for the Department of Defense (DoD). ...
doi:10.1016/j.jneumeth.2014.07.019
pmid:25107852
fatcat:onobe3y6c5a6dlej4sssck3gf4
Dominant frequencies of resting human brain activity as measured by the electrocorticogram
2013
NeuroImage
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One of the most studied and clinically utilized types of intrinsic brain activity are oscillations in the electrocorticogram (ECoG), a relatively localized measure of cortical synaptic activity. ...
These results should help identify abnormal patterns of ECoG oscillations, inform the interpretation of EEG/MEG intrinsic activity, and provide insight into the functions of these different oscillations ...
an earlier version of this manuscript. ...
doi:10.1016/j.neuroimage.2013.04.044
pmid:23639261
pmcid:PMC4269223
fatcat:hyg35kmnxbfedmtzrlr3n3rbpa
EEG-Based Control for Upper and Lower Limb Exoskeletons and Prostheses: A Systematic Review
2018
Sensors
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The study of EEG-based control of assistive devices is still in early stages. ...
a means of offering researchers and experts a comprehensive summary of the present, state-of-the-art EEG-based control techniques used for assistive technology. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/s18103342
fatcat:nacqsogy5jfdvnq2pzviasdqdy
Applied Exoskeleton Technology: A Comprehensive Review of Physical and Cognitive Human-Robot-Interfac
[article]
2022
arXiv
pre-print
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The outcomes of modelling show the potential use of single-channel input in low-power assistive devices. ...
To accommodate this insufficiency, different aspects of this technology need to be analysed and improved. ...
Such a model should involve DoF of the assisting joints and all possible body parts movements and their limitations. Figure 2 shows the possible motions of human upper limbs. ...
arXiv:2111.12860v6
fatcat:h7y6crlveffalg3vxrdclubvim
A review and consideration on the kinematics of reach-to-grasp movements in macaque monkeys
2019
Journal of Neurophysiology
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The temporal incidence of key kinematic landmarks diverges significantly between species, indicating disparities in the overall organization of movement. ...
A thorough understanding of macaques' prehensile movements is manifestly critical, in light of their role in biomedical research as valuable models for studying neuromotor disorders and brain mechanisms ...
Using a similar technique, Schaffelhofer and colleagues (2015a; see also Schaffelhofer and Scherberger 2012) proposed a musculoskeletal approach to the study of the upper extremity, thereby employing a ...
doi:10.1152/jn.00598.2018
fatcat:wc7fy3kj2fbypmig2pg67whar4
Rehabilitation Treatment of Motor Dysfunction Patients Based on Deep Learning Brain–Computer Interface Technology
2020
Frontiers in Neuroscience
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It can avoid the blindness and time-consuming problems caused by the machine learning method based on feature extraction of EEG data due to the lack of a large amount of prior knowledge. ...
To avoid the blindness and complexity of electroencephalogram (EEG) feature extraction, the deep learning method is applied to the automatic feature extraction of EEG signals. ...
body motor area controls the movement of the lower limbs, the middle controls the movement of the upper limbs, the lower part controls the movement of the head, and so does the somatosensory area. (3) ...
doi:10.3389/fnins.2020.595084
pmid:33192282
pmcid:PMC7642128
fatcat:dql3kksmt5gijhllpe2bmx5ptq
Active triggering control of pneumatic rehabilitation gloves based on surface electromyography sensors
2021
PeerJ Computer Science
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It can trigger the hand movement based on the patient's hand movement trend, which may improve the enthusiasm and efficiency of patient training. ...
Using the back propagation (BP) neural network, the classifier of hand movement is established. ...
human body, which provides an extremely important means for the prediction of human limb movement trend. ...
doi:10.7717/peerj-cs.448
pmid:33977130
pmcid:PMC8064233
fatcat:wzeiw2krpbem5elbry7z5ahcte
Continuous decoding of human grasp kinematics using epidural and subdural signals
2016
Journal of Neural Engineering
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Two competing prerequisites for the widespread adoption of any hand neuroprosthesis are: accurate control over the fine details of movement, and minimized invasiveness. ...
Epidural placement of electrodes is less invasive, and therefore may incur less risk of encephalitis or stroke than subdural placement of electrodes. ...
We also thank Derek Kamper for the use of the Cyberglove. This research was supported by the Brain Research Foundation ...
doi:10.1088/1741-2560/14/1/016005
pmid:27900947
pmcid:PMC5528155
fatcat:cehi636dffcy3l746mfdyebydi
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