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https://www.readbyqxmd.com/read/28227913/online-learning-of-gait-models-for-calculation-of-gait-parameters
#1
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/28227651/adaptive-control-of-powered-transfemoral-prostheses-based-on-adaptive-dynamic-programming
#2
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/28227620/routing-over-multi-hop-fading-wireless-body-area-networks-with-reliability-considerations
#3
Hussein Moosavi, Francis Minhthang Bui, Hussein Moosavi, Francis Minhthang Bui, Francis Minhthang Bui, Hussein Moosavi
Optimal reliable routing is studied in the context of fading wireless body area networks (WBANs). A non-cooperative game is proposed to model and analyze the strategic interactions among body-worn health-care devices when each seeks to find the most reliable path to the hub. A distributed algorithm based on the proposed game is provided and proved to converge to a multi-hop Pareto-dominant Nash topology. The game-theoretic framework is evaluated through numerical simulations in conditions approximating actual deployment of a moving ultra wideband WBAN...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227568/system-to-induce-and-measure-embodiment-of-an-artificial-hand-with-programmable-convergent-visual-and-tactile-stimuli
#4
Heather L Benz, Talia R Sieff, Mahsa Alborz, Kimberly Kontson, Elizabeth Kilpatrick, Eugene F Civillico, Heather L Benz, Talia R Sieff, Mahsa Alborz, Kimberly Kontson, Elizabeth Kilpatrick, Eugene F Civillico, Kimberly Kontson, Heather L Benz, Talia R Sieff, Elizabeth Kilpatrick, Eugene F Civillico, Mahsa Alborz
The sense of prosthesis embodiment, or the feeling that the device has been incorporated into a user's body image, may be enhanced by emerging technology such as invasive electrical stimulation for sensory feedback. In turn, prosthesis embodiment may be linked to increased prosthesis use and improved functional outcomes. We describe the development of a tool to assay artificial hand embodiment in a quantitative way in people with intact limbs, and characterize its operation. The system delivers temporally coordinated visual and tactile stimuli at a programmable latency while recording limb temperature...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227196/low-cost-and-efficient-kurtosis-based-deflationary-ica-method-application-to-mrs-sources-separation-problem
#5
M Saleh, A Karfoul, A Kachenoura, L Senhadji, L Albera, M Saleh, A Karfoul, A Kachenoura, L Senhadji, L Albera, L Albera, L Senhadji, A Kachenoura, M Saleh, A Karfoul
Improving the execution time and the numerical complexity of the well-known kurtosis-based maximization method, the RobustICA, is investigated in this paper. A Newton-based scheme is proposed and compared to the conventional RobustICA method. A new implementation using the nonlinear Conjugate Gradient one is investigated also. Regarding the Newton approach, an exact computation of the Hessian of the considered cost function is provided. The proposed approaches and the considered implementations inherit the global plane search of the initial RobustICA method for which a better convergence speed for a given direction is still guaranteed...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227163/maximum-correntropy-based-attention-gated-reinforcement-learning-designed-for-brain-machine-interface
#6
Hongbao Li, Fang Wang, Qiaosheng Zhang, Shaomin Zhang, Yiwen Wang, Xiaoxiang Zheng, Jose C Principe, Hongbao Li, Fang Wang, Qiaosheng Zhang, Shaomin Zhang, Yiwen Wang, Xiaoxiang Zheng, Jose C Principe, Yiwen Wang, Jose C Principe, Xiaoxiang Zheng, Qiaosheng Zhang, Shaomin Zhang, Hongbao Li, Fang Wang
Reinforcement learning is an effective algorithm for brain machine interfaces (BMIs) which interprets the mapping between neural activities with plasticity and the kinematics. Exploring large state-action space is difficulty when the complicated BMIs needs to assign credits over both time and space. For BMIs attention gated reinforcement learning (AGREL) has been developed to classify multi-actions for spatial credit assignment task with better efficiency. However, the outliers existing in the neural signals still make interpret the neural-action mapping difficult...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227122/forward-backward-pursuit-algorithm-for-cerenkov-luminescence-tomography
#7
Haixiao Liu, Zhenhua Hu, Muhan Liu, Jie Tian, Haixiao Liu, Zhenhua Hu, Muhan Liu, Jie Tian, Jie Tian, Haixiao Liu, Muhan Liu, Zhenhua Hu
Cerenkov luminescence tomography (CLT) is a powerful imaging technique that allows dynamically and three-dimensionally resolving the metabolic process of radiopharmaceuticals. It uses optical method to detect radiopharmaceuticals with low cost and high sensitivity. However, because of the strong absorption and scatter of biological tissues, the reconstruction of CLT is always converted to an ill-posed linear system which is hard to solve. An accurate and fast reconstruct algorithm becomes a current issue. The traditional reconstruction algorithm based on l2 norm regularization is too smooth and with low accuracy...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227036/using-i2b2-to-bootstrap-rural-health-analytics-and-learning-networks
#8
Daniel R Harris, Adam D Baus, Tamela J Harper, Traci D Jarrett, Cecil R Pollard, Jeffery C Talbert, Daniel R Harris, Adam D Baus, Tamela J Harper, Traci D Jarrett, Cecil R Pollard, Jeffery C Talbert, Jeffery C Talbert, Daniel R Harris, Traci D Jarrett, Tamela J Harper, Adam D Baus, Cecil R Pollard
We demonstrate that the open-source i2b2 (Informatics for Integrating Biology and the Bedside) data model can be used to bootstrap rural health analytics and learning networks. These networks promote communication and research initiatives by providing the infrastructure necessary for sharing data and insights across a group of healthcare and research partners. Data integration remains a crucial challenge in connecting rural healthcare sites with a common data sharing and learning network due to the lack of interoperability and standards within electronic health records...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226984/analysis-of-causal-cardio-postural-interaction-under-orthostatic-stress-using-convergent-cross-mapping
#9
Ajay K Verma, Amanmeet Garg, Andrew Blaber, Reza Fazel-Rezai, Kouhyar Tavakolian, Ajay K Verma, Amanmeet Garg, Andrew Blaber, Reza Fazel-Rezai, Kouhyar Tavakolian, Ajay K Verma, Amanmeet Garg, Kouhyar Tavakolian, Reza Fazel-Rezai, Andrew Blaber
Knowledge of a cause-and-effect relationship between different physiological systems is helpful in predicting their performance under perturbations, such as orthostatic challenge. The causal coupling between representative signals of the cardiovascular and postural systems under orthostatic challenge remains unknown. Understanding the causal relationship between these two systems is critical, as their interplay is vital to maintain stable upright posture of the human body during quiet standing. In this research, convergent cross mapping (CCM) method was applied to study the causal relationship between the cardiovascular and postural systems previously shown to have coherent activity during quiet standing...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226685/tracking-of-the-anterior-mitral-leaflet-in-echocardiographic-sequences-using-active-contours
#10
Malik Saad Sultan, Nelson Martins, Diana Veiga, Manuel Joao Ferreira, Miguel Tavares Coimbra, Malik Saad Sultan, Nelson Martins, Diana Veiga, Manuel Joao Ferreira, Miguel Tavares Coimbra, Diana Veiga, Nelson Martins, Malik Saad Sultan, Miguel Tavares Coimbra, Manuel Joao Ferreira
Echocardiography assessment of cardiac valves plays a vital role in the diagnosis of rheumatic heart disease. In the vast majority of cases, the mitral valve gets affected, leading to the thickening of its leaflets that may result in the fusion of their tips. This changes the appearance and reduces the mobility of the leaflets, which also reduce the heart efficiency. Quantifying such parameters provides diagnostic insight. To achieve that, the first step is to identify and then track fast moving leaflets. This work is focused on Anterior Mitral Leaflet (AML) tracking...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226480/eeg-based-image-encryption-via-quantum-walks
#11
N Rawat, Y Shin, I Balasingham, N Rawat, Y Shin, I Balasingham, I Balasingham, N Rawat, Y Shin
An electroencephalogram (EEG) based image encryption combined with Quantum walks (QW) is encoded in Fresnel domain. The computational version of EEG randomizes the original plaintext whereas QW can serve as an excellent key generator due to its inherent nonlinear chaotic dynamic behavior. First, a spatially coherent monochromatic laser beam passes through an SLM, which introduces an arbitrary EEG phase-only mask. The modified beam is collected by a CCD. Further, the intensity is multiply with the QW digitally...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226469/towards-24-7-continuous-heart-rate-monitoring
#12
Adrian Tarniceriu, Jakub Parak, Philippe Renevey, Marko Nurmi, Mattia Bertschi, Ricard Delgado-Gonzalo, Ilkka Korhonen, Adrian Tarniceriu, Jakub Parak, Philippe Renevey, Marko Nurmi, Mattia Bertschi, Ricard Delgado-Gonzalo, Ilkka Korhonen, Jakub Parak, Ricard Delgado-Gonzalo, Adrian Tarniceriu, Philippe Renevey, Marko Nurmi, Mattia Bertschi, Ilkka Korhonen
Heart rate (HR) and HR variability (HRV) carry rich information about physical activity, mental and physical load, physiological status, and health of an individual. When combined with activity monitoring and personalized physiological modelling, HR/HRV monitoring may be used for monitoring of complex behaviors and impact of behaviors and external factors on the current physiological status of an individual. Optical HR monitoring (OHR) from wrist provides a comfortable and unobtrusive method for HR/HRV monitoring and is better adhered by users than traditional ECG electrodes or chest straps...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226452/high-resolution-eeg-source-imaging-of-one-year-old-children
#13
Zeynep Akalin Acar, Silvia Ortiz-Mantilla, April Benasich, Scott Makeig, Zeynep Akalin Acar, Silvia Ortiz-Mantilla, April Benasich, Scott Makeig, April Benasich, Scott Makeig, Zeynep Akalin Acar, Silvia Ortiz-Mantilla
Recently we described an iterative skull conductivity and source location estimation (SCALE) algorithm for simultaneously estimating head tissue conductivities and brain source locations. SCALE uses a realistic FEM forward problem head model and scalp maps of 10 or more near-dipolar sources identified by independent component analysis (ICA) decomposition of sufficient high-density EEG data. In this study, we applied SCALE to 20 minutes of 64-channel EEG data and magnetic resonance (MR) head images from four twelve-months-of-age infants...
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
#14
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/28226411/the-control-of-eye-movements-by-the-cerebellar-nuclei-polysynaptic-projections-from-the-fastigial-interpositus-posterior-and-dentate-nuclei-to-lateral-rectus-motoneurons-in-primates
#15
Vincent Prevosto, Werner Graf, Gabriella Ugolini
Premotor circuits driving extraocular motoneurons and downstream motor outputs of cerebellar nuclei are well known. However, there is, as yet, no unequivocal account of cerebellar output pathways controlling eye movements in primates. Using retrograde transneuronal transfer of rabies virus from the lateral rectus (LR) eye muscle, we studied polysynaptic pathways to LR motoneurons in primates. Injections were placed either into the central or distal muscle portion, to identify innervation differences of LR motoneurons supplying singly innervated (SIFs) or multiply innervated muscle fibers (MIFs)...
February 22, 2017: European Journal of Neuroscience
https://www.readbyqxmd.com/read/28225612/exciton-absorption-spectra-by-linear-response-methods-application-to-conjugated-polymers
#16
Martin A Mosquera, Nicholas E Jackson, Thomas J Fauvell, Matthew S J Kelley, Lin X Chen, George C Schatz, Mark A Ratner
The theoretical description of the time-evolution of excitons requires, as an initial step, the calculation of their spectra, which has been inaccessible to most users due to the high computational scaling of conventional algorithms, and accuracy issues caused by common density functionals. Previously (J. Chem. Phys., 2016, 144, 204105) we developed a simple method that resolves these issues. Our scheme is based on a two-step calculation in which a linear-response TDDFT calculation is used to generate orbitals perturbed by the excitonic state, and then a second linear-response TDDFT calculation is used to determine the spectrum of excitations relative to the excitonic state...
February 22, 2017: Journal of the American Chemical Society
https://www.readbyqxmd.com/read/28225554/person-specific-versus-multilevel-autoregressive-models-accuracy-in-parameter%C3%A2-estimates-at-the-population-and-individual-levels
#17
Siwei Liu
This paper compares the multilevel modelling (MLM) approach and the person-specific (PS) modelling approach in examining autoregressive (AR) relations with intensive longitudinal data. Two simulation studies are conducted to examine the influences of sample heterogeneity, time series length, sample size, and distribution of individual level AR coefficients on the accuracy of AR estimates, both at the population level and at the individual level. It is found that MLM generally outperforms the PS approach under two conditions: when the sample has a homogeneous AR pattern, namely, when all individuals in the sample are characterized by AR processes with the same order; and when the sample has heterogeneous AR patterns, but a multilevel model with a sufficiently high order (i...
February 22, 2017: British Journal of Mathematical and Statistical Psychology
https://www.readbyqxmd.com/read/28225536/reliability-and-cross-cultural-adaptation-of-the-turkish-version-of-the-spinal-cord-injury-spasticity-evaluation-tool
#18
Pinar Akpinar, Arzu Atici, Kubra N Kurt, Feyza U Ozkan, Ilknur Aktas, Duygu G Kulcu
The Spinal Cord Injury Spasticity Evaluation Tool is a 7-day recall self-reported questionnaire that assesses the problematic and useful effects of spasticity on daily life in patients with spinal cord injury (SCI). We aimed to determine the reliability and cross-cultural validation of the Turkish translation of the Spinal Cord Injury Spasticity Evaluation Tool (SCI-SETT). After translation and back translation of the Spinal Cord Injury Spasticity Evaluation Tool, 66 patients between the ages of 18 and 88 years with SCI, American Spinal Injury Association impairment scale grades from A to D with spasticity, and at least 6 months after injury were assessed...
February 20, 2017: International Journal of Rehabilitation Research. Revue Internationale de Recherches de Réadaptation
https://www.readbyqxmd.com/read/28224972/a-mathematical-model-for-the-two-learners-problem
#19
Jan Mueller, Carmen Vidaurre, Martijn Schreuder, Frank Meinecke, Paul von Bünau, Klaus-Robert Mueller
OBJECTIVE: We present the first generic theoretical formulation of the co-adaptive learning problem and give a simple example of two interacting linear learning systems, a human and a machine. APPROACH: After the description of the training protocol of the two learning systems, we define a simple linear model where the two learning agents are coupled by a joint loss function. The simplicity of the model allows us to find learning rules for both human and machine that permit computing theoretical simulations...
February 22, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28224256/demonstration-of-two-types-of-fatigue-in-subjects-with-chronic-liver-disease-using-factor-analysis
#20
Ali A Weinstein, Guoqing Diao, Heibatollah Baghi, Carey Escheik, Lynn H Gerber, Zobair M Younossi
PURPOSE: The purpose of this investigation was to determine if it was possible to separate fatigue self-reports into two distinct types of fatigue symptom clusters in research subjects with chronic liver disease (CLD). It was hypothesized that when items from the Medical Outcomes Study Short-Form (SF-36v2) are combined with items from the Fatigue Severity Scale (FSS), these distinct factors will emerge. METHODS: Confirmatory and exploratory factor analyses from data collected in a prospective, natural history study of CLD patients were conducted...
February 21, 2017: Quality of Life Research
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