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https://www.readbyqxmd.com/read/28227981/assessment-of-sedation-analgesia-by-means-of-poincare%C3%AC-analysis-of-the-electroencephalogram
#1
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
#2
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
#3
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
#4
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
#5
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
#6
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
https://www.readbyqxmd.com/read/28227194/exploring-neuro-muscular-synergies-of-reaching-movements-with-unified-independent-component-analysis
#7
Fiorenzo Artoni, Elvira Pirondini, Alessandro Panarese, Silvestre Micera, Fiorenzo Artoni, Elvira Pirondini, Alessandro Panarese, Silvestre Micera, Elvira Pirondini, Alessandro Panarese, Fiorenzo Artoni, Silvestro 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/28227091/hybrid-bci-approach-to-control-an-artificial-tibio-femoral-joint
#8
Luis Mercado, Angel Rodriguez-Linan, Luis M Torres-Trevino, G Quiroz, Luis Mercado, Angel Rodriguez-Linan, Luis M Torres-Trevino, G Quiroz, 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/28226805/detecting-voluntary-gait-intention-of-chronic-stroke-patients-towards-top-down-gait-rehabilitation-using-eeg
#9
Junhyuk Choi, Hyolim Kang, Sang Hun Chung, Yeonghun Kim, Ung Hee Lee, Jong Min Lee, Seung-Jong Kim, Min Ho Chun, Hyungmin Kim, Junhyuk Choi, Hyolim Kang, Sang Hun Chung, Yeonghun Kim, Ung Hee Lee, Jong Min Lee, Seung-Jong Kim, Min Ho Chun, Hyungmin Kim, Seung-Jong Kim, Yeonghun Kim, Jong Min Lee, Hyungmin Kim, Junhyuk Choi, Sang Hun Chung, Hyolim Kang, Min Ho Chun, Ung Hee Lee
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/28226624/a-comparison-of-independent-component-analysis-algorithms-and-measures-to-discriminate-between-eeg-and-artifact-components
#10
Dhani Dharmaprani, Hoang K Nguyen, Trent W Lewis, Dylan DeLosAngeles, John O Willoughby, Kenneth J Pope, Dhani Dharmaprani, Hoang K Nguyen, Trent W Lewis, Dylan DeLosAngeles, John O Willoughby, Kenneth J Pope, John O Willoughby, Hoang K Nguyen, Dylan DeLosAngeles, Trent W Lewis, Dhani Dharmaprani, 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/28219726/diagnostic-value-of-sleep-stage-dissociation-as-visualized-on-a-2-dimensional-sleep-state-space-in-human-narcolepsy
#11
Anders Vinther Olsen, Jens Stephansen, Eileen Leary, Paul E Peppard, Hong Sheungshul, Poul Jenum, Helge Sorensen, Emmanuel Mignot
BACKGROUND: Type 1 narcolepsy (NT1) is characterized by symptoms believed to represent Rapid Eye Movement (REM) sleep stage dissociations, occurrences where features of wake and REM sleep are intermingled, resulting in a mixed state. We hypothesized that sleep stage dissociations can be objectively detected through the analysis of nocturnal Polysomnography (PSG) data, and that those affecting REM sleep can be used as a diagnostic feature for narcolepsy. NEW METHOD: A Linear Discriminant Analysis (LDA) model using 38 features extracted from EOG, EMG and EEG was used in control subjects to select features differentiating wake, stage N1, N2, N3 and REM sleep...
February 17, 2017: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/28213152/central-neuronal-motor-behaviour-in-skilled-and-less-skilled-novices-approaching-sports-specific-movement-techniques
#12
Tobias Vogt, Kouki Kato, Stefan Schneider, Stefan Türk, Kazuyuki Kanosue
Research on motor behavioural processes preceding voluntary movements often refers to analysing the readiness potential (RP). For this, decades of studies used laboratory setups with controlled sports-related actions. Further, recent applied approaches focus on athlete-non-athlete comparisons, omitting possible effects of training history on RP. However, RP preceding real sport-specific movements in accordance to skill acquisition remains to be elucidated. Therefore, after familiarization 16 right-handed males with no experience in archery volunteered to perform repeated sports-specific movements, i...
February 14, 2017: Human Movement Science
https://www.readbyqxmd.com/read/28139776/accurate-discrimination-of-the-wake-sleep-states-of-mice-using-non-invasive-whole-body-plethysmography
#13
Stefano Bastianini, Sara Alvente, Chiara Berteotti, Viviana Lo Martire, Alessandro Silvani, Steven J Swoap, Alice Valli, Giovanna Zoccoli, Gary Cohen
A major limitation in the study of sleep breathing disorders in mouse models of pathology is the need to combine whole-body plethysmography (WBP) to measure respiration with electroencephalography/electromyography (EEG/EMG) to discriminate wake-sleep states. However, murine wake-sleep states may be discriminated from breathing and body movements registered by the WBP signal alone. Our goal was to compare the EEG/EMG-based and the WBP-based scoring of wake-sleep states of mice, and provide formal guidelines for the latter...
January 31, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28126647/movement-activated-cortical-myoclonus-in-dravet-syndrome
#14
Laura Canafoglia, Francesca Ragona, Ferruccio Panzica, Elena Piazza, Elena Freri, Simona Binelli, Vidmer Scaioli, Giuliano Avanzini, Tiziana Granata, Silvana Franceschetti
PURPOSE: we characterized multifocal myoclonus in Dravet syndrome (DS) that was never systematically typified before. METHODS: we studied EEG-EMG recordings of 19 consecutive patients, aged 2-29 years, with DS associated with SCN1A gene mutations to detect and evaluate myoclonus based on the spectrum of EMG activity on antagonist muscle pairs and cortico-muscular coherence (CMC). RESULTS: multifocal action myoclonus was detected in all patients corresponding to brief EMG bursts, which occurred synchronously on antagonist muscles at a frequency peaking in beta band...
January 19, 2017: Epilepsy Research
https://www.readbyqxmd.com/read/28113303/epileptogenic-source-imaging-using-cross-frequency-coupled-signals-from-scalp-eeg
#15
Li Chunsheng, Daniel Jacobs, Trevor Hilton, Martin Del Campo, Yotin Chinvarun, Peter Carlen, Berj Bardakjian
OBJECTIVE: The epileptogenic zone (EZ) is a brain region containing the sources of seizure genesis. Removal of the EZ is associated with cessation of seizures after resective surgical procedures, as measured by Engel Class I score. This study describes a novel EEG source imaging (ESI) method which uses cross frequency coupled potential signals (SCFC) derived from scalp EEG. METHODS: Scalp EEG were recorded from ten patients (20 seizures) suffering from epilepsy...
September 27, 2016: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28072633/visual-motion-processing-subserves-faster-visuomotor-reaction-in-badminton-players
#16
Thorben Hülsdünker, Heiko K Strüder, Andreas Mierau
INTRODUCTION: Athletes participating in ball or racquet sports have to respond to visual stimuli under critical time pressure. Previous studies used visual contrast stimuli to determine visual perception and visuomotor reaction in athletes and non-athletes however, especially ball and racquet sports are characterized by motion rather than contrast visual cues. Since visual contrast and motion signals are processed in different cortical regions, this study aimed to determine differences in perception and processing of visual motion between athletes and non-athletes...
January 9, 2017: Medicine and Science in Sports and Exercise
https://www.readbyqxmd.com/read/28068295/support-vector-machines-to-detect-physiological-patterns-for-eeg-and-emg-based-human-computer-interaction-a-review
#17
L R Quitadamo, F Cavrini, L Sbernini, F Riillo, L Bianchi, S Seri, G Saggio
Support vector machines (SVMs) are widely used classifiers for detecting physiological patterns in human-computer interaction (HCI). Their success is due to their versatility, robustness and large availability of free dedicated toolboxes. Frequently in the literature, insufficient details about the SVM implementation and/or parameters selection are reported, making it impossible to reproduce study analysis and results. In order to perform an optimized classification and report a proper description of the results, it is necessary to have a comprehensive critical overview of the applications of SVM...
January 9, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28068293/a-hybrid-bmi-based-exoskeleton-for-paresis-emg-control-for-assisting-arm-movements
#18
Toshihiro Kawase, Takeshi Sakurada, Yasuharu Koike, Kenji Kansaku
OBJECTIVE: Brain-machine interface (BMI) technologies have succeeded in controlling robotic exoskeletons, enabling some paralyzed people to control their own arms and hands. We have developed an exoskeleton asynchronously controlled by EEG signals. In this study, to enable real-time control of the exoskeleton for paresis, we developed a hybrid system with EEG and EMG signals, and the EMG signals were used to estimate its joint angles. APPROACH: Eleven able-bodied subjects and two patients with upper cervical spinal cord injuries (SCIs) performed hand and arm movements, and the angles of the metacarpophalangeal (MP) joint of the index finger, wrist, and elbow were estimated from EMG signals using a formula that we derived to calculate joint angles from EMG signals, based on a musculoskeletal model...
January 9, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28061779/a-motion-classification-strategy-based-on-semg-eeg-signal-combination-for-upper-limb-amputees
#19
Xiangxin Li, Oluwarotimi Williams Samuel, Xu Zhang, Hui Wang, Peng Fang, Guanglin Li
BACKGROUND: Most of the modern motorized prostheses are controlled with the surface electromyography (sEMG) recorded on the residual muscles of amputated limbs. However, the residual muscles are usually limited, especially after above-elbow amputations, which would not provide enough sEMG for the control of prostheses with multiple degrees of freedom. Signal fusion is a possible approach to solve the problem of insufficient control commands, where some non-EMG signals are combined with sEMG signals to provide sufficient information for motion intension decoding...
January 7, 2017: Journal of Neuroengineering and Rehabilitation
https://www.readbyqxmd.com/read/28061506/role-of-rem-sleep-melanin-concentrating-hormone-and-orexin-hypocretin-systems-in-the-sleep-deprivation-pre-ischemia
#20
Marta Pace, Antoine Adamantidis, Laura Facchin, Claudio Bassetti
STUDY OBJECTIVES: Sleep reduction after stroke is linked to poor recovery in patients. Conversely, a neuroprotective effect is observed in animals subjected to acute sleep deprivation (SD) before ischemia. This neuroprotection is associated with an increase of the sleep, melanin concentrating hormone (MCH) and orexin/hypocretin (OX) systems. This study aims to 1) assess the relationship between sleep and recovery; 2) test the association between MCH and OX systems with the pathological mechanisms of stroke...
2017: PloS One
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