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https://www.readbyqxmd.com/read/28325032/limb-position-robust-classification-of-myoelectric-signals-for-prosthesis-control-using-sparse-representations
#1
Joseph L Betthauser, Christopher L Hunt, Luke E Osborn, Rahul R Kaliki, Nitish V Thakor
The fundamental objective in non-invasive myoelectric prosthesis control is to determine the user's intended movements from corresponding skin-surface recorded electromyographic (sEMG) activation signals as quickly and accurately as possible. Linear Discriminant Analysis (LDA) has emerged as the de facto standard for real-time movement classification due to its ease of use, calculation speed, and remarkable classification accuracy under controlled training conditions. However, performance of cluster-based methods like LDA for sEMG pattern recognition degrades significantly when real-world testing conditions do not resemble the trained conditions, limiting the utility of myoelectrically controlled prosthesis devices...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28325027/identifying-the-effects-of-visceral-interoception-on-human-brain-connectome-a-multivariate-analysis-of-covariance-of-fmri-data
#2
Behnaz Jarrahi, Dante Mantini
Sources of variations in the neural circuitry of the human brain and interrelationship between intrinsic connectivity networks (ICNs) are still a matter of debate and ongoing research. Here, we applied a multivariate analysis of covariance (MANCOVA) based on high-dimensional independent component analysis (ICA) to identify the effects of interoception and related variables on human brain connectome. Fifteen healthy right-handed subjects (all females, age range 21 - 48 years; mean age = 30.3, SD = 8.7 years) underwent a blood-oxygen-level-dependent (BOLD) functional magnetic resonance imaging (fMRI) that included continuous intravesical saline infusion and drainage...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28325014/real-time-monitoring-of-swimming-performance
#3
R Delgado-Gonzalo, A Lemkaddem, Ph Renevey, E Muntane Calvo, M Lemay, K Cox, D Ashby, J Willardson, M Bertschi
This article presents the performance results of a novel algorithm for swimming analysis in real-time within a low-power wrist-worn device. The estimated parameters are: lap count, stroke count, time in lap, total swimming time, pace/speed per lap, total swam distance, and swimming efficiency (SWOLF). In addition, several swimming styles are automatically detected. Results were obtained using a database composed of 13 different swimmers spanning 646 laps and 858.78 min of total swam time. The final precision achieved in lap detection ranges between 99...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28325012/eeg-patterns-of-subacute-stroke-patients-performing-motor-tasks-correlate-with-motor-functional-outcome-preliminary-results
#4
Wanjoo Park, Yun-Hee Kim, Sung-Phil Kim, Laehyun Kim
If an early predictor of motor functional outcome after stroke were available, stroke patients would receive more appropriate treatments for motor recovery. We performed a correlation analysis of the electroencephalography (EEG) signal patterns of nine subacute stroke patients (recorded 22.9 ± 7.1 days after onset) and their motor recovery rates (measured 100.2 ± 8.9 days after onset). The beta band spectral power in the bilateral motor cortex after physical upper limb movement correlated significantly with the motor recovery rates [Fugl-Meyer assessment (FMA) scores; Pearson's linear correlation, p <; 0...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28325008/feasibility-of-an-ultra-low-power-digital-signal-processor-platform-as-a-basis-for-a-fully-implantable-brain-computer-interface-system
#5
Po T Wang, Keulanna Gandasetiawan, Colin M McCrimmon, Alireza Karimi-Bidhendi, Charles Y Liu, Payam Heydari, Zoran Nenadic, An H Do
A fully implantable brain-computer interface (BCI) can be a practical tool to restore independence to those affected by spinal cord injury. We envision that such a BCI system will invasively acquire brain signals (e.g. electrocorticogram) and translate them into control commands for external prostheses. The feasibility of such a system was tested by implementing its benchtop analogue, centered around a commercial, ultra-low power (ULP) digital signal processor (DSP, TMS320C5517, Texas Instruments). A suite of signal processing and BCI algorithms, including (de)multiplexing, Fast Fourier Transform, power spectral density, principal component analysis, linear discriminant analysis, Bayes rule, and finite state machine was implemented and tested in the DSP...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28324999/surface-electromyography-based-muscle-fatigue-analysis-for-stroke-patients-at-different-brunnstrom-stages
#6
Yinjun Tu, Zhe Zhang, Xudong Gu, Qiang Fang
Muscle fatigue analysis has been an important topic in sport and rehabilitation medicine due to its role in muscle performance evaluation and pathology investigation. This paper proposes a surface electromyography (sEMG) based muscle fatigue analysis approach which was specifically designed for stroke rehabilitation applications. 14 stroke patients from 5 different Brunnstrom recovery stage groups were involved in the experiment and features including median frequency and mean power frequency were extracted from the collected sEMG samples for investigation...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28324994/co-activation-periods-of-gastrocnemius-and-vastus-lateralis-during-walking-evaluated-by-surface-electromyography
#7
Alessandro Mengarelli, Annachiara Strazza, Agnese Sbrollini, Angela Agostinelli, Laura Burattini, Sandro Fioretti, Francesco Di Nardo
"In vivo" studies reported that the co-activation of gastrocnemius and quadriceps femoris (QF) muscles produces ACL strain values greater than those caused by an isolated activation of either muscle. Aim of this study was to assess the co-activation of gastrocnemius (lateral head, GL) and vastus lateralis (VL) in healthy and young adults during walking. To this purpose the Statistical Gait Analysis was performed, that allows a characterization of gait considering hundreds of strides belonging to the same walking trial...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28324993/dynamic-knee-muscle-co-contraction-quantified-during-walking
#8
Annachiara Strazza, Alessandro Mengarelli, Valentina Agostini, Marco Knaflitz, Laura Burattini, Sandro Fioretti, Francesco Di Nardo
The purpose of the present study was the quantification of the co-activation patterns of the knee extensor and flexor muscles during walking at self-selected speed and cadence. To this aim, the Statistical Gait Analysis, a recent methodology providing a statistical characterization of gait, was performed on surface EMG signals from Vastus Lateralis (VL) and Medial Hamstrings (MH) in 14 healthy young adult subjects. Muscular co-contraction was assessed as the overlapping period between activation intervals of agonist and antagonist muscles...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28324992/age-related-neuromuscular-changes-in-semg-of-m-tibialis-anterior-using-higher-order-statistics-gaussianity-linearity-test
#9
Ariba Siddiqi, Sridhar P Arjunan, Dinesh K Kumar
Age-associated changes in the surface electromyogram (sEMG) of Tibialis Anterior (TA) muscle can be attributable to neuromuscular alterations that precede strength loss. We have used our sEMG model of the Tibialis Anterior to interpret the age-related changes and compared with the experimental sEMG. Eighteen young (20-30 years) and 18 older (60-85 years) performed isometric dorsiflexion at 6 different percentage levels of maximum voluntary contractions (MVC), and their sEMG from the TA muscle was recorded. Six different age-related changes in the neuromuscular system were simulated using the sEMG model at the same MVCs as the experiment...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28324991/features-of-cerebral-oxygenation-detects-brain-injury-in-premature-infants
#10
John M O'Toole, Mmoloki Kenosi, Daragh Finn, Geraldine B Boylan, Eugene M Dempsey
Babies born prematurely can develop brain injury within days after birth. Early identification of high-risk infants enables appropriate clinical care to mitigate potential lifelong disabilities. Near infra-red spectroscopy is an established technology that can provide continuous measurements of cerebral oxygen saturation (rcSO2) over this critical period. We develop a feature set of the rcSO2 signal for the purpose of detecting brain injury. Our feature set contains amplitude, spectral, and fractal dimension features within 5 frequency bands...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28324986/electrocardiographic-waveforms-fitness-check-device-technique-for-sudden-cardiac-death-risk-screening
#11
O J Escalona, M Mendoza
A novel cardiac health device technique development for reliable, non-invasive and cost-effective heart screening in preventive cardiovascular healthcare is presented. In particular, identification of apparently healthy individuals involved in sports activities (particularly in the young, age <; 35 years) who may be at-risk of sudden-cardiac-death (SCD) is mainly focused here. Nevertheless, the same device technique may be prospectively extended for detecting cardiovascular abnormalities in children and adolescents with type1-diabetes, and also in detecting patients with Brugada syndrome...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28324980/effect-of-wearable-sensor-dynamics-on-physical-activity-estimates-a-comparison-between-sci-vs-healthy-individuals
#12
C Jayaraman, C K Mummidisetty, A Jayaraman
Accuracy of physical activity estimates predicted by activity monitoring technologies may be affected by device location, analysis algorithms, type of technology (i.e. wearable/stickable) and population demographics (disability) being studied. Consequently, the main purpose of this investigation was to study such sensor dynamics (i.e. effect of device location, type and population demographics on energy expenditure estimates) of two commercial activity monitors. It was hypothesized that device location, population studied (disability), choice of proprietary algorithm and type of technology used will significantly impact the accuracy of the predicted physical activity metrics...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28324978/influence-of-electrode-configuration-on-the-electric-field-distribution-during-transcutaneous-spinal-direct-current-stimulation-of-the-cervical-spine
#13
Sofia R Fernandes, Ricardo Salvador, Cornelia Wenger, Mamede A de Carvalho, Pedro C Miranda
Transcutaneous spinal direct current stimulation (tsDCS) is a recent technique with promising neuromodulatory effects on spinal neuronal circuitry. The main objective of the present study was to perform a finite element analysis of the electric field distribution in tsDCS in the cervical spine region, with varying electrode configurations and geometry. A computational model of a human trunk was generated with nine tissue meshes. Three electrode configurations were tested: A) rectangular saline-soaked sponge target and return electrodes placed over C3 and T3 spinous processes, respectively; B1) circular saline-soaked sponge target and return electrodes placed over C7 spinous process and right deltoid muscle, respectively; B2) same configuration as B1, considering circular shaped electrodes with sponge and rubber layers and a small circular connector on the top surface...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28324977/a-novel-method-to-assess-angle-sensor-performance-for-wearable-exoskeletal-joint-kinematics
#14
Nicholas B Bolus, Geza F Kogler, Omer T Inan
Full range of motion (ROM) at a joint is necessary for efficient and adaptive movement; as such, it is an essential clinical evaluation measure for assessing an individual's motor function, which can be affected by any number of musculoskeletal injuries and neuropathies. Measurement of joint ROM in the clinic has classically been accomplished statically through the use of a manual goniometer. More recent efforts in the fields of prosthetics and orthotics have demonstrated the potential utility of wearable systems (e...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28324939/visual-transparent-visual-occlusion-an-eeg-and-cop-study
#15
Kwang Leng Goh, Susan Morris, Wee Lih Lee, Alexander Ring, Tele Tan
Electroencephalography (EEG) and centre of pressure (COP) data were recorded in young adults for 60 seconds during standing in visual transparent (VT) and visual occlusion (VO) conditions. In both of these conditions, participants wore VO liquid crystal spectacles which allowed the experimenter to accurately control visual information being presented or occluded to the participant. Alpha band (8-13 Hz) revealed significant differences in channel-averaged power spectrum in these two conditions, but not theta band (4-8 Hz) and beta band (13-30 Hz)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28324930/rtms-enhanced-gamma-oscillation-through-strengthened-network-connection
#16
Mengmeng Dou, Xin Tian
Gamma oscillations emerge generally in working memory to aspect of higher cognitive functions, and typically with the interaction of brain network. How is gamma oscillatory activity influenced by the functional connection in the brain'a network? How can gamma oscillations be increased by neural modulation to result in potential benefits for working memory? The present study aims to investigate the intensity of gamma oscillations modulated by low frequency repetitive transcranial magnetic stimulation (rTMS), and the possible brain network mechanism of increased gamma oscillations during working memory task in rats...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28324913/tests-for-informative-cluster-size-using-a-novel-balanced-bootstrap-scheme
#17
Jaakko Nevalainen, Hannu Oja, Somnath Datta
Clustered data are often encountered in biomedical studies, and to date, a number of approaches have been proposed to analyze such data. However, the phenomenon of informative cluster size (ICS) is a challenging problem, and its presence has an impact on the choice of a correct analysis methodology. For example, Dutta and Datta (2015, Biometrics) presented a number of marginal distributions that could be tested. Depending on the nature and degree of informativeness of the cluster size, these marginal distributions may differ, as do the choices of the appropriate test...
March 21, 2017: Statistics in Medicine
https://www.readbyqxmd.com/read/28324889/evaluation-of-clinicopathological-factors-in-pd-1-response-derivation-and-validation-of-a-prediction-scale-for-response-to-pd-1-monotherapy
#18
Adi Nosrati, Katy K Tsai, Simone M Goldinger, Paul Tumeh, Barbara Grimes, Kimberly Loo, Alain P Algazi, Thi Dan Linh Nguyen-Kim, Mitchell Levesque, Reinhard Dummer, Omid Hamid, Adil Daud
BACKGROUND: Anti-PD-1 therapy has shown significant clinical activity in advanced melanoma. We developed and validated a clinical prediction scale for response to anti- PD-1 monotherapy. METHODS: A total of 315 patients with advanced melanoma treated with pembrolizumab (2 or 10 mg kg(-1) Q2W or Q3W) or nivolumab (3 mg kg(-1) Q2W) at four cancer centres between 2011 to 2013 served as the setting for the present cohort study. Variables with significant association to response on a univariate analysis were entered into a forward stepwise logistic regression model and were given a score based on ORs to calculate a clinical prediction scale...
March 21, 2017: British Journal of Cancer
https://www.readbyqxmd.com/read/28324881/optic-radiation-tractography-and-visual-field-deficits-in-laser-interstitial-thermal-therapy-for-amygdalohippocampectomy-in-patients-with-mesial-temporal-lobe-epilepsy
#19
Dali Yin, John A Thompson, Cornelia Drees, Steven G Ojemann, Lidia Nagae, Victoria S Pelak, Aviva Abosch
BACKGROUND/AIMS: Laser interstitial thermal therapy (LITT) has become an alternative to open-resective surgery for refractory mesial temporal lobe epilepsy (MTLE). Occurrence of visual field defects (VFDs) following open surgery for MTLE is reported at 52-100%. We examined the rate of VFDs following LITT for amygdalohippocampectomy (AHE) and correlated the occurrence of VFDs with damage to the optic radiations, assessed by diffusion tensor tractography (DTI). METHODS: We performed a retrospective analysis of 5 patients who underwent LITT-AHE for medically refractory MTLE...
March 22, 2017: Stereotactic and Functional Neurosurgery
https://www.readbyqxmd.com/read/28324827/anaerobic-treatment-of-hydrothermally-solubilised-sugarcane-bagasse-and-its-kinetic-modelling
#20
Bing Liu, Van Anh Ngo, Mitsuharu Terashima, Hidenari Yasui
The aim of this study was the evaluation of anaerobic treatment for the soluble organics generated from a steam-explosion pre-treatment of sugarcane bagasse. The batch analysis revealed that about 50% of the organics was possible to be degraded into methane whilst the rest was biologically inert and composed of mostly lignin. Based on the experiment a kinetic model composed of 14 kinds of soluble substances and 5 kinds of anaerobic microorganisms was developed. The model was used to simulate the process performance of a continuous anaerobic bioreactor with MLSS concentration at 2500-15,000mg/L...
March 7, 2017: Bioresource Technology
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