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https://www.readbyqxmd.com/read/28227951/smartsock-a-wearable-platform-for-context-aware-assessment-of-ankle-edema
#1
Ramin Fallahzadeh, Mahdi Pedram, Hassan Ghasemzadeh, Ramin Fallahzadeh, Mahdi Pedram, Hassan Ghasemzadeh
Ankle edema an important symptom for monitoring patients with chronic systematic diseases. It is an important indicator of onset or exacerbation of a variety of diseases that disturb cardiovascular, renal, or hepatic system such as heart, liver, and kidney failure, diabetes, etc. The current approaches toward edema assessment are conducted during clinical visits. In-clinic assessments, in addition to being burdensome and expensive, are sometimes not reliable and neglect important contextual factors such as patient's physical activity level and body posture...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227915/relationship-between-magnitude-of-applied-torque-in-pre-swing-phase-and-gait-change-for-prevention-of-trip-in-elderly-people
#2
Tamon Miyake, Mariko Tsukune, Yo Kobayashi, Shigeki Sugano, Masakatsu G Fujie, Tamon Miyake, Mariko Tsukune, Yo Kobayashi, Shigeki Sugano, Masakatsu G Fujie, Shigeki Sugano, Tamon Miyake, Masakatsu G Fujie, Yo Kobayashi, Mariko Tsukune
Elderly people are at risk of tripping because of their narrow range of articular motion. To avoid tripping, gait training that improves their range of articular motion would be beneficial. In this study we propose a gait-training robot that applies a torque during the pre-swing phase to achieve this goal. We investigated the relationship between magnitude of applied torque and change in the range of knee-articular motion while walking before and after the application of this torque. We developed a wearable robot and carried out an experiment on human participants in which a motor pulls a string embedded on the robotic frame, applying torque in the pre-swing phase for a period of 20 [s]...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227913/online-learning-of-gait-models-for-calculation-of-gait-parameters
#3
Jamie L S Waugh, Anton Trinh, Ryan R Mohammed, William E McIlroy, Dana Kulic, Jamie L S Waugh, Anton Trinh, Ryan R Mohammed, William E McIlroy, Dana Kulic, Jamie L S Waugh, Dana Kulic, Anton Trinh, William E McIlroy, Ryan R Mohammed
This paper proposes a novel approach for gait analysis from wearable sensing, based on an adaptive periodic model of any gait signal. The proposed method learns a model of the gait cycle during online measurement, using a continuous representation that can adapt to inter and intra-personal variability by creating an individualized model. Once the algorithm has converged to the input signal, key gait events can be identified relative to the estimated gait phase; these events can then be used to calculate gait parameters...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227840/virtual-reality-for-pediatric-neuro-rehabilitation-adaptive-visual-feedback-of-movement-to-engage-the-mirror-neuron-system
#4
Roopeswar Kommalapati, Konstantinos P Michmizos, Roopeswar Kommalapati, Konstantinos P Michmizos, Roopeswar Kommalapati, Konstantinos P Michmizos
Sensorimotor therapy gives optimal results when patients are cognitively engaged into highly repetitive tasks, a goal that most children find hard to pursue. This paper presents the key developments of our ongoing effort to design an interactive rehabilitation environment that motivates physically impaired children throughout their therapy. The continuous motivation is achieved by the system adapting fundamental therapeutic components to the performance of each child. The relevant movement is mirrored to an animated character projected in front of the child...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227760/cross-frequency-coupling-during-auditory-perception-in-human-cortex
#5
Urszula Malinowska, Dana Boatman-Reich, Urszula Malinowska, Dana Boatman-Reich, Urszula Malinowska, Dana Boatman-Reich
Cross-frequency coupling plays an important role in coordinating neuronal computations underlying human perception, learning and memory. Here we compared four methods for measuring phase/amplitude coupling (PAC) of theta (4-7 Hz) and high-gamma (70-150 Hz) in intracranial electrocorticographic (ECoG) recordings. Time-frequency spectral and time-domain evoked responses were derived for comparison. All four methods showed significant increases in theta/high-gamma PAC in auditory cortex at sites where significant event-related increases in high-gamma power were also observed...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227651/adaptive-control-of-powered-transfemoral-prostheses-based-on-adaptive-dynamic-programming
#6
Yue Wen, Ming Liu, Jennie Si, He Helen Huang, Yue Wen, Ming Liu, Jennie Si, He Huang, He Helen Huang, Yue Wen, Ming Liu, Jennie Si
In this study, we developed and tested a novel adaptive controller for powered transfemoral prostheses. Adaptive dynamic programming (ADP) was implemented within the prosthesis control to complement the existing finite state impedance control (FS-IC) in a prototypic active-transfemoral prosthesis (ATP). The ADP controller interacts with the human user-prosthesis system, observes the prosthesis user's dynamic states during walking, and learns to personalize user performance properties via online adaptation to meet the individual user's objectives...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227553/transfer-learning-with-large-scale-data-in-brain-computer-interfaces
#7
Chun-Shu Wei, Yuan-Pin Lin, Yu-Te Wang, Chin-Teng Lin, Tzyy-Ping Jung, Chun-Shu Wei, Yuan-Pin Lin, Yu-Te Wang, Chin-Teng Lin, Tzyy-Ping Jung, Yuan-Pin Lin, Yu-Te Wang, Tzyy-Ping Jung, Chin-Teng Lin, Chun-Shu Wei
Human variability in electroencephalogram (EEG) poses significant challenges for developing practical real-world applications of brain-computer interfaces (BCIs). The intuitive solution of collecting sufficient user-specific training/calibration data can be very labor-intensive and time-consuming, hindering the practicability of BCIs. To address this problem, transfer learning (TL), which leverages existing data from other sessions or subjects, has recently been adopted by the BCI community to build a BCI for a new user with limited calibration data...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227469/building-a-more-diverse-biomedical-engineering-workforce-biomedical-engineering-at-the-university-of-the-district-of-columbia-a-historically-black-college-university
#8
Lara A Thompson, A Segun Adebayo, Nian Zhang, Sasan Haghani, Kathleen Dowell, Devdas Shetty, Lara A Thompson, A Segun Adebayo, Nian Zhang, Sasan Haghani, Kathleen Dowell, Devdas Shetty, A Segun Adebayo, Sasan Haghani, Kathleen Dowell, Lara A Thompson, Devdas Shetty, Nian Zhang
Biomedical Engineering (BME) is a new, multidisciplinary, and rapidly growing field, however, the BME Workforce suffers from limited ethnic and gender diversity. Despite the demand and growth of this new field due to its public health importance, only 4 out of the 107 Historically Black Colleges and Universities (HBCUs) nationwide offers a Bachelor's of Science (B.S.) in Bio-Engineering related fields. In order to contribute to a growing BME Workforce, HBCUs need to react and offer more degree-programs relevant to BME...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227165/reward-value-is-encoded-in-primary-somatosensory-cortex-and-can-be-decoded-from-neural-activity-during-performance-of-a-psychophysical-task
#9
David B McNiel, John S Choi, John P Hessburg, Joseph T Francis, David B McNiel, John S Choi, John P Hessburg, Joseph T Francis, John P Hessburg, Joseph T Francis, John S Choi, David B McNiel
Encoding of reward valence has been shown in various brain regions, including deep structures such as the substantia nigra as well as cortical structures such as the orbitofrontal cortex. While the correlation between these signals and reward valence have been shown in aggregated data comprised of many trials, little work has been done investigating the feasibility of decoding reward valence on a single trial basis. Towards this goal, one non-human primate (macaca radiata) was trained to grip and hold a target level of force in order to earn zero, one, two, or three juice rewards...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227057/mobile-interface-for-neuroprosthesis-control-aiming-tetraplegic-users
#10
Renato G Barelli, Plinio T Aquino, Maria Claudia Ferrari de Castro, Renato G Barelli, Plinio T Aquino Junior, Maria Claudia Ferrari de Castro, Plinio T Aquino, Maria Claudia Ferrari de Castro, Renato G Barelli
This article proposes the development of a mobile interface for controlling a Neuroprosthesis, designed to restore grasp patterns, aiming tetraplegics users at C5 and C6 levels. Human Computer Interface paradigms and usability concepts guide its planning and development to garantee the quality of user's interaction with the system and thus, the sucess and controlability of the neuroprostheses. The number of screens and menus were optimized, thus the user may feel the interface as more intuitive, leading to fast learning and increasing the trust on it...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226939/model-based-assistance-as-needed-for-robotic-movement-therapy-after-stroke
#11
Hossein Taheri, David J Reinkensmeyer, Eric T Wolbrecht, Hossein Taheri, David J Reinkensmeyer, Eric T Wolbrecht, Eric T Wolbrecht, David J Reinkensmeyer, Hosoein Taheri
This paper extends an adaptive control approach for robotic movement therapy that learns deficiencies in a patient's neuromuscular output and assists accordingly. In this method, adaptation is based on trajectory tracking error and a model of unimpaired motor control forces. The controller presented here adaptively learns and fills the gaps in the patient's ability to generate inertial forces, instead of just static forces, as has been proposed before. To test this method, a two dimensional model of an impaired human arm was used to simulate reaching movements in the horizontal plane...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226882/development-of-a-real-time-activity-monitoring-android-application-utilizing-smartstep
#12
Nagaraj Hegde, Edward Melanson, Edward Sazonov, Nagaraj Hegde, Edward Melanson, Edward Sazonov, Nagaraj Hegde, Edward Melanson, Edward Sazonov
Footwear based activity monitoring systems are becoming popular in academic research as well as consumer industry segments. In our previous work, we had presented developmental aspects of an insole based activity and gait monitoring system-SmartStep, which is a socially acceptable, fully wireless and versatile insole. The present work describes the development of an Android application that captures the SmartStep data wirelessly over Bluetooth Low energy (BLE), computes features on the received data, runs activity classification algorithms and provides real time feedback...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226742/a-cnn-based-neurobiology-inspired-approach-for-retinal-image-quality-assessment
#13
Dwarikanath Mahapatra, Pallab K Roy, Suman Sedai, Rahil Garnavi, Dwarikanath Mahapatra, Pallab K Roy, Suman Sedai, Rahil Garnavi, Suman Sedai, Pallab K Roy, Rahil Garnavi, Dwarikanath Mahapatra
Retinal image quality assessment (IQA) algorithms use different hand crafted features for training classifiers without considering the working of the human visual system (HVS) which plays an important role in IQA. We propose a convolutional neural network (CNN) based approach that determines image quality using the underlying principles behind the working of the HVS. CNNs provide a principled approach to feature learning and hence higher accuracy in decision making. Experimental results demonstrate the superior performance of our proposed algorithm over competing methods...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226674/a-multiple-kernel-learning-approach-for-human-behavioral-task-classification-using-stn-lfp-signal
#14
Hosein M Golshan, Adam O Hebb, Sara J Hanrahan, Joshua Nedrud, Mohammad H Mahoor, Hosein M Golshan, Adam O Hebb, Sara J Hanrahan, Joshua Nedrud, Mohammad H Mahoor, Joshua Nedrud, Adam O Hebb, Sara J Hanrahan, Mohammad H Mahoor, Hosein M Golshan
Deep Brain Stimulation (DBS) has gained increasing attention as an effective method to mitigate Parkinson's disease (PD) disorders. Existing DBS systems are open-loop such that the system parameters are not adjusted automatically based on patient's behavior. Classification of human behavior is an important step in the design of the next generation of DBS systems that are closed-loop. This paper presents a classification approach to recognize such behavioral tasks using the subthalamic nucleus (STN) Local Field Potential (LFP) signals...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226581/automatic-lumbar-vertebrae-detection-based-on-feature-fusion-deep-learning-for-partial-occluded-c-arm-x-ray-images
#15
Yang Li, Wei Liang, Yinlong Zhang, Haibo An, Jindong Tan, Yang Li, Wei Liang, Yinlong Zhang, Haibo An, Jindong Tan, Yang Li, Wei Liang, Jindong Tan, Yinlong Zhang, Haibo An
Automatic and accurate lumbar vertebrae detection is an essential step of image-guided minimally invasive spine surgery (IG-MISS). However, traditional methods still require human intervention due to the similarity of vertebrae, abnormal pathological conditions and uncertain imaging angle. In this paper, we present a novel convolutional neural network (CNN) model to automatically detect lumbar vertebrae for C-arm X-ray images. Training data is augmented by DRR and automatic segmentation of ROI is able to reduce the computational complexity...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226470/behavioral-informatics-dynamical-models-for-measuring-and-assessing-behaviors-for-precision-interventions
#16
Misha Pavel, Holly Jimison, Bonnie Spring, Misha Pavel, Holly Jimison, Bonnie Spring, Bonnie Spring, Holly Jimison, Misha Pavel
Poor health-related behaviors represent a major challenge to healthcare due to their significant impact on chronic and acute diseases and their effect on the quality of life. Recent advances in technology have enabled an unprecedented opportunity to assess objectively, unobtrusively and continuously human behavior and have opened the possibility of optimizing individual-tailored, precision interventions within the framework of behavioral informatics. A key prerequisite for this optimization is the ability to assess and predict effects of interventions...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226432/reinforcement-learning-for-stabilizing-an-inverted-pendulum-naturally-leads-to-intermittent-feedback-control-as-in-human-quiet-standing
#17
Kenjiro Michimoto, Yasuyuki Suzuki, Ken Kiyono, Yasushi Kobayashi, Pietro Morasso, Taishin Nomura, Kenjiro Michimoto, Yasuyuki Suzuki, Ken Kiyono, Yasushi Kobayashi, Pietro Morasso, Taishin Nomura, Ken Kiyono, Pietro Morasso, Kenjiro Michimoto, Yasushi Kobayashi, Yasuyuki Suzuki, Taishin Nomura
Intermittent feedback control for stabilizing human upright stance is a promising strategy, alternative to the standard time-continuous stiffness control. Here we show that such an intermittent controller can be established naturally through reinforcement learning. To this end, we used a single inverted pendulum model of the upright posture and a very simple reward function that gives a certain amount of punishments when the inverted pendulum falls or changes its position in the state space. We found that the acquired feedback controller exhibits hallmarks of the intermittent feedback control strategy, namely the action of the feedback controller is switched-off intermittently when the state of the pendulum is located near the stable manifold of the unstable saddle-type upright equilibrium of the inverted pendulum with no active control: this action provides an opportunity to exploit transiently converging dynamics toward the unstable upright position with no help of the active feedback control...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226195/global-transcriptional-response-of-human-liver-cells-to-ethanol-stress-of-different-strength-reveals-hormetic-behavior
#18
Wolfgang Schmidt-Heck, Eva C Wönne, Thomas Hiller, Uwe Menzel, Dirk Koczan, Georg Damm, Daniel Seehofer, Fanny Knöspel, Nora Freyer, Reinhard Guthke, Steven Dooley, Katrin Zeilinger
BACKGROUND: The liver is the major site for alcohol metabolism in the body and therefore, the primary target organ for ethanol-induced toxicity. In this study, we investigated the in vitro response of human liver cells to different ethanol concentrations in a perfused bioartificial liver device that mimics the complex architecture of the natural organ. METHODS: Primary human liver cells were cultured in the bioartificial liver device and treated for 24 hours with medium containing 150 mM (low), 300 mM (medium) or 600 mM (high) ethanol, while a control culture was kept untreated...
February 22, 2017: Alcoholism, Clinical and Experimental Research
https://www.readbyqxmd.com/read/28225843/-poverty-and-mental-disability-in-the-criminal-law-the-invisibles
#19
Ezequiel N Mercurio
In recent decades neuroscience research show the negative consequences of poverty in cognitive development. Environmental factors, such as material deprivation, exposure to stressful situations, violence, nutritional deprivation, environmental toxins may shape the developing brain. The changes of the structure and function of the brain since prenatal stages and their consequences can remain stable throughout the life cycle except early interventions are made. Research investigating have found significant link between child poverty and function and structural brain focusing on prefrontal cortex (i...
May 2016: Vertex: Revista Argentina de Psiquiatriá
https://www.readbyqxmd.com/read/28225480/nmda-receptor-subunit-and-camkii-changes-in-rat-hippocampus-by-congenital-hcmv-infection-a-mechanism-for-learning-and-memory-impairment
#20
De Wu, Li Yang, Xiaosong Bu, Jiulai Tang, Xiaocheng Fan
The aim of this study was to investigate the effects of congenital human cytomegalovirus infection on the expression levels of N-methyl-D-aspartate receptors (NRs) and Ca/calmodulin-dependent protein kinase II (CaMKII) in the hippocampal neurons of neonatal Sprague-Dawley (SD) rats. Pregnant SD rats were divided into an experimental group and a control group (n=10 in each group). Spatial learning and memory of the offspring of SD rats were evaluated using the Morris water-maze test. Pathological studies of hippocampus sections were carried out...
February 20, 2017: Neuroreport
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