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https://www.readbyqxmd.com/read/28227967/a-stimulation-driven-exoskeleton-for-walking-after-paraplegia
#1
Sarah R Chang, Mark J Nandor, Lu Li, Kevin M Foglyano, John R Schnellenberger, Rudi Kobetic, Roger D Quinn, Ronald J Triolo, Sarah R Chang, Mark J Nandor, Lu Li, Kevin M Foglyano, John R Schnellenberger, Rudi Kobetic, Roger D Quinn, Ronald J Triolo, Mark J Nandor, Rudi Kobetic, Roger D Quinn, John R Schnellenberger, Sarah R Chang, Kevin M Foglyano, Lu Li, Ronald J Triolo
An untethered version of a stimulation-driven exoskeleton was evaluated for its ability to restore walking after paralysis from spinal cord injury. The hybrid neuroprosthesis (HNP) combined a passive variable-constraint exoskeleton for stability and support with functional neuromuscular stimulation (FNS) to contract the paralyzed muscles to drive limb movement. This self-contained HNP was operated by an onboard controller that sampled sensor signals, generated appropriate commands to both the exoskeletal constraints and integrated stimulator, and transmitted data wirelessly via Bluetooth to an off-board computer for real-time monitoring and recording for offline analysis...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227945/an-adaptive-and-robust-online-method-to-predict-gait-events
#2
Stefan O Schrade, Yvonne Bader, Michael R Tucker, Camila Shirota, Roger Gassert, Stefan O Schrade, Yvonne Bader, Michael R Tucker, Camila Shirota, Roger Gassert, Camila Shirota, Stefan O Schrade, Roger Gassert, Yvonne Bader, Michael R Tucker
Accurate timing of interventions during the gait cycle are critical for optimal efficacy of assistive devices, e.g., to reduce the metabolic cost of walking. However, timing control generally relies on methods that can neither account for changes in the stride duration over time due to different walking speeds, nor reject isolated abnormal strides, which could be caused by stumbling or obstacle avoidance for example. In order to address these issues, a method, named the Gait Phase Estimator (GPE), is proposed to predict temporal gait events and stride duration...
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/28227900/automated-assessment-of-postural-stability-system
#4
Alessandro Napoli, Christian R Ward, Stephen M Glassd, Carole Tucker, Iyad Obeid, Alessandro Napoli, Christian R Ward, Stephen M Glass, Carole Tucker, Iyad Obeid, Christian R Ward, Carole Tucker, Alessandro Napoli, Iyad Obeid, Stephen M Glass
The Balance Error Scoring System (BESS) is one of the most commonly used clinical tests to evaluate static postural stability deficits resulting from traumatic brain events and musculoskeletal injury. This test requires a trained operator to visually assess balance and give the subject a performance score based on the number of balance "errors" they committed. Despite being regularly used in several real-world situations, the BESS test is scored by clinician observation and is therefore (a) potentially susceptible to biased and inaccurate test scores and (b) cannot be administered in the absence of a trained provider...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227883/development-and-validation-of-thums-version-5-with-1d-muscle-models-for-active-and-passive-automotive-safety-research
#5
Hideyuki Kimpara, Yuko Nakahira, Masami Iwamoto, Hideyuki Kimpara, Yuko Nakahira, Masami Iwamoto, Hideyuki Kimpara, Masami Iwamoto, Yuko Nakahira
Accurately predicting the occupant kinematics is critical to better understand the injury mechanisms during an automotive crash event. The objectives of this study were to develop and validate a finite element (FE) model of the human body integrated with an active muscle model called Total HUman Model for Safety (THUMS) version 5, which has the body size of the 50th percentile American adult male (AM50). This model is characterized by being able to generate a force owing to muscle tone and to predict the occupant response during an automotive crash event...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227872/detection-of-different-types-of-noise-in-lung-sounds
#6
A Leal, R Couceiro, I Chouvarda, N Maglaveras, J Henriques, R Paiva, P Carvalho, C Teixeira, A Leal, R Couceiro, I Chouvarda, N Maglaveras, J Henriques, R Paiva, P Carvalho, C Teixeira, R Couceiro, P Carvalho, C Teixeira, A Leal, R Paiva, J Henriques, N Maglaveras, I Chouvarda
Lung sound signal processing has proven to be a great improvement to the traditional acoustic interpretation of lung sounds. However, that analysis can be seriously hindered by the presence of different types of noise originated in the acquisition environment or caused by physiological processes. Consequently, the diagnostic accuracy of pulmonary diseases can be severely affected, especially if the implementation of telemonitoring systems is considered. The present study is focused on the implementation of an algorithm able to identify noisy periods, either voluntarily (vocalizations, chest movement and background voices) or involuntarily produced during acquisitions of lung sounds...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227847/a-compact-representation-for-the-auditory-full-range-response-and-its-fast-denoising-using-an-image-filter-based-on-the-radon-transform
#7
Manuel C Kohl, Daniel J Strauss, Manuel C Kohl, Daniel J Strauss, Daniel J Strauss, Manuel C Kohl
The Auditory Brainstem, Middle-Latency and Late Responses, a class of event-related potentials (ERPs), are of considerable interest in neuroscience research as robust neural correlates of different processing stages along the auditory pathway. While most research to date centers around one of the responses at a time for practical reasons, recent efforts indicate a paradigm shift towards acquiring them together, enabling the simultaneous monitoring of all auditory processing stages from the brainstem to the cortex...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227841/comparing-eeg-its-time-derivative-and-their-joint-use-as-features-in-a-bci-for-2-d-pointer-control
#8
Dimitrios Andreou, Riccardo Poli, Dimitrios Andreou, Riccardo Poli, Riccardo Poli, Dimitrios Andreou
Efficient and accurate classification of event related potentials is a core task in brain-computer interfaces (BCI). This is normally obtained by first extracting features from the voltage amplitudes recorded via EEG at different channels and then feeding them into a classifier. In this paper we evaluate the relative benefits of using the first order temporal derivatives of the EEG signals, not the EEG signals themselves, as inputs to the BCI: an area that has not been thoroughly examined. Specifically, we compare the classification performance of features extracted from the first derivative, with those derived from the amplitude, as well as their combination using data from a P300-based BCI mouse...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227825/real-time-autonomous-bladder-event-classification-and-closed-loop-control-from-single-channel-pressure-data
#9
Robert Karam, Swarup Bhunia, Steve Majerus, Steven W Brose, Margot S Damaser, Dennis Bourbeau, Robert Karam, Swarup Bhunia, Steve Majerus, Steven W Brose, Margot S Damaser, Dennis Bourbeau, Steve Majerus, Margot S Damaser, Robert Karam, Steven W Brose, Dennis Bourbeau, Swarup Bhunia
Urinary incontinence, or the loss of bladder control, is a debilitating condition affecting millions worldwide, which significantly reduces quality of life. Neuromodulation of lower urinary tract nerves can be used to treat sensations of urgency in many subjects, including those with Spinal Cord Injury (SCI). Event driven, or conditional stimulation has been investigated as a possible improvement to the state-of-the-art open-loop stimulation systems available today. However, this requires a robust, adaptive, and noise-tolerant method of classifying bladder function from real-time bladder pressure measurements...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227803/ear-eeg-allows-extraction-of-neural-responses-in-challenging-listening-scenarios-a-future-technology-for-hearing-aids
#10
L Fiedler, J Obleser, T Lunner, C Graversen, L Fiedler, J Obleser, T Lunner, C Graversen, J Obleser, C Graversen, L Fiedler, T Lunner
Advances in brain-computer interface research have recently empowered the development of wearable sensors to record mobile electroencephalography (EEG) as an unobtrusive and easy-to-use alternative to conventional scalp EEG. One such mobile solution is to record EEG from the ear canal, which has been validated for auditory steady state responses and discrete event related potentials (ERPs). However, it is still under discussion where to place recording and reference electrodes to capture best responses to auditory stimuli...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227801/reference-configurations-for-ear-eeg-steady-state-responses
#11
Simon L Kappel, Christian B Christensen, Kaare B Mikkelsen, Preben Kidmose, Simon L Kappel, Christian B Christensen, Kaare B Mikkelsen, Preben Kidmose, Kaare B Mikkelsen, Preben Kidmose, Christian B Christensen, Simon L Kappel
Ear-EEG is a non-invasive EEG recording method, where EEG is recorded from electrodes placed in the ear. Ear-EEG could be implemented into hearing aids, and provide neurofeedback for e.g. objective hearing assessment through measurements of the auditory steady-state response. In cases where the objective is to measure a specific feature of an event-related potential, there will be a subject specific optimal reference configuration. This work presents a method for optimizing the reference configuration for steady-state type potentials...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227800/a-fresh-perspective-on-dissecting-action-into-discrete-submotions
#12
Justin Horowitz, Yazan Abdel Majeed, James Patton, Justin Horowitz, Yazan Abdel Majeed, James Patton, Justin Horowitz, Yazan Abdel Majeed, James Patton
The hypothesis that reaching motions are constructed from discrete components has been explored since the earliest scientific investigations of human movement, although composition specifics have been contentious. We reinspect this process by analyzing the underlying motor intent (rather than actual motion) using our recently-developed intent determination technique. First, synthetic data analysis was used to determine our accuracy in detecting submotion events. Next, we evaluated this on healthy reaching movements and overcame the problem of indistinguishably blended submotions by exposing subjects to strong, abruptly changing forces, which lead to clear corrections identifiable using direction-based clustering...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227784/an-analytics-based-clinical-decision-support-system-for-cvd-risk-assessment-and-management
#13
Shreya Anand, Ravindra B Patil, P Krishnamoorthy, Shreya Anand, Ravindra B Patil, P Krishnamoorthy, Shreya Anand, Ravindra B Patil, P Krishnamoorthy
Cardiovascular disease (CVD) is a major cause of disability and premature death throughout the world. Acute coronary events and other cardiovascular events frequently occur suddenly, and are often fatal before medical care can be given. Risk factor modification can reduce clinical events and premature death in people with established cardiovascular disease as well as in those who are at high cardiovascular risk due to one or more risk factors. In this work, India specific World Health Organization-International Society of Hypertension (WHO-ISH) guidelines has been implemented to stratify the subjects by their risk profile...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227782/predicting-short-term-icu-outcomes-using-a-sequential-contrast-motif-based-classification-framework
#14
Shameek Ghosh, Hung Nguyen, Jinyan Li, Shameek Ghosh, Hung Nguyen, Jinyan Li, Shameek Ghosh, Hung Nguyen, Jinyan Li
Critical ICU events like acute hypotension and septic shock are dangerous complications, leading to multiple organ failures and eventual death. Previously, pattern mining algorithms have been employed for extracting interesting rules in various clinical domains. However, the extracted rules are directly investigated by clinicians for diagnosing a disease. Towards this purpose, there is a need to develop advanced prediction models which integrate dynamic patterns to learn a patient's physiological condition...
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
#15
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/28227756/synchronization-of-brain-activity-during-induction-of-propofol-anesthesia-comparison-of-methods
#16
Tarmo Lipping, Jaanika Saareleht, Elzbieta Olejarczyk, Eila Sonkajarvi, Tuomo Ylinen, Ville Jantti, Tarmo Lipping, Jaanika Saareleht, Elzbieta Olejarczyk, Eila Sonkajarvi, Tuomo Ylinen, Ville Jantti, Jaanika Saareleht, Ville Jantti, Eila Sonkajarvi, Tuomo Ylinen, Elzbieta Olejarczyk, Tarmo Lipping
Synchrony patterns between the EEG measured from the subthalamic nucleus and scalp are analyzed during induction of propofol anesthesia. Various methods such as Coherence, Phase Locking Value, Partial Directed Coherence, Mutual Information, and Transfer Entropy are applied. The results indicate that, in general, the synchrony patterns seen in the depth-scalp electrode pair are similar to those seen between two scalp electrodes of opposite hemispheres. A clear change of state is revealed at about 10 minutes before burst suppression; this event is revealed by linear (Coherence) as well as nonlinear (Phase Locking Value) and information theoretic (Mutual Information and Transfer Entropy) measures...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227718/a-home-automation-based-environmental-sound-alert-for-people-experiencing-hearing-loss
#17
Matthias Mielke, Rainer Bruck, Matthias Mielke, Rainer Bruck, Rainer Bruck, Matthias Mielke
Different assistive technologies are available for deaf people (i.e. deaf, deafened, and hard of hearing). Besides the well-known hearing aid, devices for detection of sound events that occur at home or at work (e.g. doorbell, telephone) are available. Despite the technological progress in the last years and resulting new possibilities, the basic functions and concepts of such devices have not changed. The user still needs special assistive technology that is bound to the home or work environment. In this contribution a new concept for awareness of events in buildings is presented...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227717/audis-wear-a-smartwatch-based-assistive-device-for-ubiquitous-awareness-of-environmental-sounds
#18
Matthias Mielke, Rainer Bruck, Matthias Mielke, Rainer Bruck, Rainer Bruck, Matthias Mielke
A multitude of assistive devices is available for deaf people (i.e. deaf, deafened, and hard of hearing). Besides hearing and communication aids, devices to access environmental sounds are available commercially. But the devices have two major drawbacks: 1. they are targeted at indoor environments (e.g. home or work), and 2. only specific events are supported (e.g. the doorbell or telephone). Recent research shows that important sounds can occur in all contexts and that the interests in sounds are diverse. These drawbacks can be tackled by using modern information and communication technology that enables the development of new and improved assistive devices...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227709/bayesian-gaussian-processes-for-identifying-the-deteriorating-patient
#19
Glen Wright Colopy, Marco A F Pimentel, Stephen J Roberts, David A Clifton, Glen Wright Colopy, Marco A F Pimentel, Stephen J Roberts, David A Clifton, Glen Wright Colopy, Marco A F Pimentel, Stephen J Roberts, David A Clifton
The step-down unit (SDU) is a high-acuity hospital environment, to which patients may be sent after discharge from the intensive care unit (ICU). About 1- in-7 patients will deteriorate in the SDU and require emergency readmission to the ICU. Upon readmission, these patients experience significantly higher mortality risks and lengths of stay. Gaussian process regression (GPR) models are proposed as a flexible, principled, probabilistic method to address the clinical need to monitor continuously patient time-series of vital signs acquired in the SDU...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227708/towards-detection-of-sleep-apnea-events-by-combining-different-non-contact-measurement-modalities
#20
Abdul Q Javaid, Carlo M Noble, Russell Rosenberg, Mary A Weitnauer, Abdul Q Javaid, Carlo M Noble, Russell Rosenberg, Mary A Weitnauer, Carlo M Noble, Abdul Q Javaid, Mary A Weitnauer, Russell Rosenberg
In this work, we extract features from an under-the-mattress impulse radio ultra-wide band (IR-UWB) radar and a microphone, placed on the side table of the bed, to classify epochs belonging to normal sleep and those that contain an apnea event in them. Sleep apnea is the most common form of sleep related breathing disorder in adults with an estimated prevalance of 5-15%. The common diagnostic process for sleep apnea, polysomnography (PSG), involves sleeping in well-equipped sleep clinics. The cost and discomfort associated with the process has spurred research towards the design of portable home-based monitoring devices...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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