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https://www.readbyqxmd.com/read/28325029/noninvasive-eeg-correlates-of-overground-and-stair-walking
#1
Justin A Brantley, Trieu Phat Luu, Recep Ozdemir, Fangshi Zhu, Anna T Winslow, Helen Huang, Jose L Contreras-Vidal
Automated walking intention detection remains a challenge in lower-limb neuroprosthetic systems. Here, we assess the feasibility of extracting motor intent from scalp electroencephalography (EEG). First, we evaluated the corticomuscular coherence between central EEG electrodes (C1, Cz, C2) and muscles of the shank and thigh during walking on level ground and stairs. Second, we trained decoders to predict the linear envelope of the surface electromyogram (EMG). We observed significant EEG-led corticomuscular coupling between electrodes and sEMG (tibialis anterior) in the high delta (3-4 Hz) and low theta (4-5 Hz) frequency bands during level walking, indicating efferent signaling from the cortex to peripheral motor neurons...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28298835/the-stretch-reflex-and-the-contributions-of-c-david-marsden
#2
REVIEW
Kalyan B Bhattacharyya
The stretch reflex or myotatic reflex refers to the contraction of a muscle in response to its passive stretching by increasing its contractility as long as the stretch is within physiological limits. For ages, it was thought that the stretch reflex was of short latency and it was synonymous with the tendon reflex, subserving the same spinal reflex arc. However, disparities in the status of the two reflexes in certain clinical situations led Marsden and his collaborators to carry out a series of experiments that helped to establish that the two reflexes had different pathways...
January 2017: Annals of Indian Academy of Neurology
https://www.readbyqxmd.com/read/28269717/assessment-of-sedation-analgesia-by-means-of-poincare%C3%AC-analysis-of-the-electroencephalogram
#3
Jose D Bolanos, Montserrat Vallverdu, Pere Caminal, Daniel F Valencia, Xavi Borrat, Pedro L Gambus, Jose F Valencia
Monitoring the levels of sedation-analgesia may be helpful for managing patient stress on minimally invasive medical procedures. Monitors based on EEG analysis and designed to assess general anesthesia cannot distinguish reliably between a light and deep sedation. In this work, the Poincaré plot is used as a nonlinear technique applied to EEG signals in order to characterize the levels of sedation-analgesia, according to observed categorical responses that were evaluated by means of Ramsay Sedation Scale (RSS)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269451/simultaneous-evaluation-of-prepulse-inhibition-with-emg-and-eeg-using-advanced-artifact-removal-techniques
#4
Francisco J Fraga, Claudemiro V Noya, Maria I Zimiani, Milton A Avila, Rosana Shuhama, Cristina M Del-Ben, Paulo R Menezes, Rodrigo S Martin, Cristiane Salum
Prepulse inhibition (PPI) consists of a reduction of the acoustic startle reflex (SR) magnitude (measured with EMG) when a startling stimulus is preceded by a non-startling one. This behavior has been extensively investigated in studies related to schizophrenia, since sensory-motor deficit plays a central role in its pathophysiology. However, the same auditory stimuli that trigger the SR also provoke intense auditory evoked responses (AEP), which can be measured with EEG. Comparing these two types of responses, acquired simultaneously, is a great opportunity to investigate the dependence and interdependence of their neural pathways...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269332/automatic-sleep-stage-classification-using-ear-eeg
#5
Andreas Stochholm, Kaare Mikkelsen, Preben Kidmose
Sleep assessment is of great importance in the diagnosis and treatment of sleep disorders. In clinical practice this is typically performed based on polysomnography recordings and manual sleep staging by experts. This procedure has the disadvantages that the measurements are cumbersome, may have a negative influence on the sleep, and the clinical assessment is labor intensive. Addressing the latter, there has recently been encouraging progress in the field of automatic sleep staging [1]. Furthermore, a minimally obtrusive method for recording EEG from electrodes in the ear (ear-EEG) has recently been proposed [2]...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269308/corticomuscular-coherence-variation-throughout-the-gait-cycle-during-overground-walking-and-ramp-ascent-a-preliminary-investigation
#6
Anna T Winslow, Justin Brantley, Fangshi Zhu, Jose L Contreras Vidal, He Huang
Recent designs of neural-machine interfaces (NMIs) incorporating electroencephalography (EEG) or electromyography (EMG) have been used in lower limb assistive devices. While the results of previous studies have shown promise, a NMI which takes advantage of early movement-related EEG activity preceding movement onset, as well as the improved signal-to-noise ratio of EMG, could prove to be more accurate and responsive than current NMI designs based solely on EEG or EMG. Previous studies have demonstrated that the activity of the sensorimotor cortex is coupled to the firing rate of motor units in lower limb muscles during voluntary contraction...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269284/cross-frequency-information-transfer-from-eeg-to-emg-in-grasping
#7
Winnie K Y So, Lingling Yang, Beth Jelfs, Qi She, Savio W H Wong, Joseph N Mak, Rosa H M Chan
This paper presents an investigation into the cortico-muscular relationship during a grasping task by evaluating the information transfer between EEG and EMG signals. Information transfer was computed via a non-linear model-free measure, transfer entropy (TE). To examine the cross-frequency interaction, TEs were computed after the times series were decomposed into various frequency ranges via wavelet transform. Our results demonstrate the capability of TE to capture the direct interaction between EEG and EMG...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268984/exploring-neuro-muscular-synergies-of-reaching-movements-with-unified-independent-component-analysis
#8
Fiorenzo Artoni, Elvira Pirondini, Alessandro Panarese, Silvestre Micera
The coordinated recruitment of group of muscles through muscles synergies is known to simplify the control of movements. However, how and to what extent such control scheme is encoded at a cortical level is poorly understood. So far, electroencephalography (EEG) and electromyography (EMG) have been used, separately, to investigate the cortical regions of the human brain which may be involved in activating muscle synergies. Here we aim at extending these results by looking for a hierarchical relationship between cortical and muscular sources of activity (neuro-muscular synergies) with a unified analysis of independent components (IC) simultaneously extracted from both EEG and EMG signals...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268891/hybrid-bci-approach-to-control-an-artificial-tibio-femoral-joint
#9
Luis Mercado, Angel Rodriguez-Linan, Luis M Torres-Trevino, G Quiroz
Brain-Computer Interfaces (BCIs) for disabled people should allow them to use their remaining functionalities as control possibilities. BCIs connect the brain with external devices to perform the volition or intent of movement, regardless if that individual is unable to perform the task due to body impairments. In this work we fuse electromyographic (EMG) with electroencephalographic (EEG) activity in a framework called "Hybrid-BCI" (hBCI) approach to control the movement of a simulated tibio-femoral joint...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268625/detecting-voluntary-gait-intention-of-chronic-stroke-patients-towards-top-down-gait-rehabilitation-using-eeg
#10
Junhyuk Choi, Hyolim Kang, Sang Hun Chung, Yeonghun Kim, Ung Hee Lee, Jong Min Lee, Seung-Jong Kim, Min Ho Chun, Hyungmin Kim
One of the recent trends in gait rehabilitation is to incorporate bio-signals, such as electromyography (EMG) or electroencephalography (EEG), for facilitating neuroplasticity, i.e. top-down approach. In this study, we investigated decoding stroke patients' gait intention through a wireless EEG system. To overcome patient-specific EEG patterns due to impaired cerebral cortices, common spatial patterns (CSP) was employed. We demonstrated that CSP filter can be used to maximize the EEG signal variance-ratio of gait and standing conditions...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268452/a-comparison-of-independent-component-analysis-algorithms-and-measures-to-discriminate-between-eeg-and-artifact-components
#11
Dhani Dharmaprani, Hoang K Nguyen, Trent W Lewis, Dylan DeLosAngeles, John O Willoughby, Kenneth J Pope
Independent Component Analysis (ICA) is a powerful statistical tool capable of separating multivariate scalp electrical signals into their additive independent or source components, specifically EEG or electroencephalogram and artifacts. Although ICA is a widely accepted EEG signal processing technique, classification of the recovered independent components (ICs) is still flawed, as current practice still requires subjective human decisions. Here we build on the results from Fitzgibbon et al. [1] to compare three measures and three ICA algorithms...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28255798/sensorimotor-simulation-and-emotion-processing-impairing-facial-action-increases-semantic-retrieval-demands
#12
Joshua D Davis, Piotr Winkielman, Seana Coulson
Sensorimotor models suggest that understanding the emotional content of a face recruits a simulation process in which a viewer partially reproduces the facial expression in their own sensorimotor system. An important prediction of these models is that disrupting simulation should make emotion recognition more difficult. Here we used electroencephalogram (EEG) and facial electromyogram (EMG) to investigate how interfering with sensorimotor signals from the face influences the real-time processing of emotional faces...
March 2, 2017: Cognitive, Affective & Behavioral Neuroscience
https://www.readbyqxmd.com/read/28238858/automatic-detection-of-periods-of-slow-wave-sleep-based-on-intracranial-depth-electrode-recordings
#13
Chrystal M Reed, Kurtis G Birch, Jan Kamiński, Shannon Sullivan, Jeffrey M Chung, Adam N Mamelak, Ueli Rutishauser
BACKGROUND: An automated process for sleep staging based on intracranial EEG data alone is needed to facilitate research into the neural processes occurring during slow wave sleep (SWS). Current manual methods for sleep scoring require a full polysomnography (PSG) set-up, including electrooculography (EOG), electromyography (EMG), and scalp electroencephalography (EEG). This set-up can be technically difficult to place in the presence of intracranial EEG electrodes. There is thus a need for a method for sleep staging based on intracranial recordings alone...
February 24, 2017: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/28238390/electro-clinical-etiological-associations-of-epilepsia-partialis-continua-in-57-chinese-children
#14
Hui Li, Jiao Xue, Ping Qian, Yuehua Zhang, Xinhua Bao, Xiaoyan Liu, Zhixian Yang
OBJECTIVE: Epilepsia partialis continua (EPC) was one type of focal status epilepticus. The aim of this study was to analyze the clinical and electroencephalography (EEG) characteristics, and outcome of 57 child-onset patients with EPC according to different etiologies, and further explore the electro-clinical-etiological associations. METHODS: We retrospectively reviewed 57 children diagnosed with EPC in our department over last ten years. Etiology, clinical and EEG data, and outcome were categorized and analyzed...
February 18, 2017: Brain & Development
https://www.readbyqxmd.com/read/28227981/assessment-of-sedation-analgesia-by-means-of-poincare%C3%AC-analysis-of-the-electroencephalogram
#15
Jose D Bolanos, Montserrat Vallverdu, Pere Caminal, Daniel F Valencia, Xavi Borrat, Pedro L Gambus, Jose F Valencia, Jose D Bolanos, Montserrat Vallverdu, Pere Caminal, Daniel F Valencia, Xavi Borrat, Pedro L Gambus, Jose F Valencia, Jose D Bolanos, Xavi Borrat, Jose F Valencia, Montserrat Vallverdu, Pere Caminal, Pedro L Gambus, Daniel F Valencia
Monitoring the levels of sedation-analgesia may be helpful for managing patient stress on minimally invasive medical procedures. Monitors based on EEG analysis and designed to assess general anesthesia cannot distinguish reliably between a light and deep sedation. In this work, the Poincaré plot is used as a nonlinear technique applied to EEG signals in order to characterize the levels of sedation-analgesia, according to observed categorical responses that were evaluated by means of Ramsay Sedation Scale (RSS)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227810/noninvasive-eeg-correlates-of-overground-and-stair-walking
#16
Justin A Brantley, Trieu Phat Luu, Recep Ozdemir, Fangshi Zhu, Anna T Winslow, Helen Huang, Jose L Contreras-Vidal, Justin A Brantley, Trieu Phat Luu, Recep Ozdemir, Fangshi Zhu, Anna T Winslow, Helen Huang, Jose L Contreras-Vidal, Fangshi Zhu, Recep Ozdemir, Justin A Brantley, Helen Huang, Anna T Winslow, Jose L Contreras-Vidal, Trieu Phat Luu
Automated walking intention detection remains a challenge in lower-limb neuroprosthetic systems. Here, we assess the feasibility of extracting motor intent from scalp electroencephalography (EEG). First, we evaluated the corticomuscular coherence between central EEG electrodes (C1, Cz, C2) and muscles of the shank and thigh during walking on level ground and stairs. Second, we trained decoders to predict the linear envelope of the surface electromyogram (EMG). We observed significant EEG-led corticomuscular coupling between electrodes and sEMG (tibialis anterior) in the high delta (3-4 Hz) and low theta (4-5 Hz) frequency bands during level walking, indicating efferent signaling from the cortex to peripheral motor neurons...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227697/simultaneous-evaluation-of-prepulse-inhibition-with-emg-and-eeg-using-advanced-artifact-removal-techniques
#17
Francisco J Fraga, Claudemiro V Noya, Maria I Zimiani, Milton A Avila, Rosana Shuhama, Cristina M Del-Ben, Paulo R Menezes, Rodrigo S Martin, Cristiane Salum, Francisco J Fraga, Claudemiro V Noya, Maria I Zimiani, Milton A Avila, Rosana Shuhama, Cristina M Del-Ben, Paulo R Menezes, Rodrigo S Martin, Cristiane Salum, Francisco J Fraga, Paulo R Menezes, Claudemiro V Noya, Rosana Shuhama, Milton A Avila, Cristina M Del-Ben, Cristiane Salum, Rodrigo S Martin, Maria I Zimiani
Prepulse inhibition (PPI) consists of a reduction of the acoustic startle reflex (SR) magnitude (measured with EMG) when a startling stimulus is preceded by a non-startling one. This behavior has been extensively investigated in studies related to schizophrenia, since sensory-motor deficit plays a central role in its pathophysiology. However, the same auditory stimuli that trigger the SR also provoke intense auditory evoked responses (AEP), which can be measured with EEG. Comparing these two types of responses, acquired simultaneously, is a great opportunity to investigate the dependence and interdependence of their neural pathways...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227574/automatic-sleep-stage-classification-using-ear-eeg
#18
Andreas Stochholm, Kaare Mikkelsen, Preben Kidmose, Andreas Stochholm, Kaare Mikkelsen, Preben Kidmose, Kaare Mikkelsen, Preben Kidmose, Andreas Stochholm
Sleep assessment is of great importance in the diagnosis and treatment of sleep disorders. In clinical practice this is typically performed based on polysomnography recordings and manual sleep staging by experts. This procedure has the disadvantages that the measurements are cumbersome, may have a negative influence on the sleep, and the clinical assessment is labor intensive. Addressing the latter, there has recently been encouraging progress in the field of automatic sleep staging [1]. Furthermore, a minimally obtrusive method for recording EEG from electrodes in the ear (ear-EEG) has recently been proposed [2]...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227545/corticomuscular-coherence-variation-throughout-the-gait-cycle-during-overground-walking-and-ramp-ascent-a-preliminary-investigation
#19
Anna T Winslow, Justin Brantley, Fangshi Zhu, Jose L Contreras Vidal, He Huang, Anna T Winslow, Justin Brantley, Fangshi Zhu, Jose L Contreras Vidal, He Huang, Fangshi Zhu, Justin Brantley, Jose L Contreras Vidal, He Huang, Anna T Winslow
Recent designs of neural-machine interfaces (NMIs) incorporating electroencephalography (EEG) or electromyography (EMG) have been used in lower limb assistive devices. While the results of previous studies have shown promise, a NMI which takes advantage of early movement-related EEG activity preceding movement onset, as well as the improved signal-to-noise ratio of EMG, could prove to be more accurate and responsive than current NMI designs based solely on EEG or EMG. Previous studies have demonstrated that the activity of the sensorimotor cortex is coupled to the firing rate of motor units in lower limb muscles during voluntary contraction...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227520/cross-frequency-information-transfer-from-eeg-to-emg-in-grasping
#20
Winnie K Y So, Lingling Yang, Beth Jelfs, Qi She, Savio W H Wong, Joseph N Mak, Rosa H M Chan, Winnie K Y So, Lingling Yang, Beth Jelfs, Qi She, Savio W H Wong, Joseph N Mak, Rosa H M Chan, Rosa H M Chan, Beth Jelfs, Savio W H Wong, Lingling Yang, Qi She, Joseph N Mak, Winnie K Y So
This paper presents an investigation into the cortico-muscular relationship during a grasping task by evaluating the information transfer between EEG and EMG signals. Information transfer was computed via a non-linear model-free measure, transfer entropy (TE). To examine the cross-frequency interaction, TEs were computed after the times series were decomposed into various frequency ranges via wavelet transform. Our results demonstrate the capability of TE to capture the direct interaction between EEG and EMG...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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