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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/28227910/development-of-a-three-dimensional-lattice-free-multiscale-model-of-the-mammary-terminal-end-bud
#2
Joseph D Butner, Vittorio Cristini, Zhihui Wang, Joseph D Butner, Vittorio Cristini, Zhihui Wang, Vittorio Cristini, Joseph D Butner, Zhihui Wang
The terminal end bud (TEB) is a bulbous structure composed of highly proliferative cells that is responsible for mammary gland development during the pubertal stage. This is a highly organized process, involving cellular differentiation hierarchies regulated by endocrine and paracrine signaling. Here, we present development of a lattice-free, three dimensional multiscale agent based model of the TEB to study the effects of cellular phenotypic hierarchies, endocrine and paracrine signaling, and proliferation demographics on pubertal mammary gland development...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227893/wearable-embroidered-muscle-activity-sensing-device-for-the-human-upper-leg
#3
R B Ribas Manero, A Shafti, B Michael, J Grewal, J Ll Ribas Fernandez, K Althoefer, M J Howard, R B Ribas Manero, A Shafti, B Michael, J Grewal, J Ll Ribas Fernandez, K Althoefer, M J Howard, K Althoefer, B Michael, A Shafti, J Ll Ribas Fernandez, J Grewal, M J Howard
Within the last decade, running has become one of the most popular physical activities in the world. Although the benefits of running are numerous, there is a risk of Running Related Injuries (RRIs) of the lower extremities. Electromyography (EMG) techniques have previously been used to study causes of RRIs, but the complexity of this technology limits its use to a laboratory setting. As running is primarily an outdoors activity, this lack of technology acts as a barrier to the study of RRIs in natural environments...
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/28227776/propagation-of-parametric-uncertainty-for-the-k-channel-model-in-mouse-ventricular-myocytes
#5
Yuncheng Du, Dongping Du, Yuncheng Du, Dongping Du, Dongping Du, Yuncheng Du
Cardiac potassium (K+) channel plays an important role in cardiac electrical signaling. Mathematical models have been widely used to investigate the effects of K+ channels on cardiac functions. However, the model of K+ channel involves parametric uncertainties, which can be induced by fitting the model's parameters that best capture experimental data. Since the prediction of cardiac functions are highly parameter-dependent, it is critical to quantify the influence of parametric uncertainty on the model responses to provide the more reliable predictions...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227742/a-computational-model-of-orientation-dependent-activation-of-retinal-ganglion-cells
#6
Timothy Esler, Anthony N Burkitt, David B Grayden, Robert R Kerr, Bahman Tahayori, Hamish Meffin, Timothy Esler, Anthony N Burkitt, David B Grayden, Robert R Kerr, Bahman Tahayori, Hamish Meffin, Anthony N Burkitt, Timothy Esler, Hamish Meffin, David B Grayden, Robert R Kerr, Bahman Tahayori
Currently, a challenge in electrical stimulation for epiretinal prostheses is the avoidance of stimulation of axons of passage in the nerve fiber layer that originate from distant regions of the ganglion cell layer. A computational model of extracellular stimulation that captures the effect of neurite orientation in anisotropic tissue is developed using a modified version of the standard volume conductor model, known as the cellular composite model, embedded in a four layer model of the retina. Simulations are conducted to investigate the interaction of neural tissue orientation, electrode placement, and stimulation pulse duration and amplitude...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227726/mobile-teleradiology-system-suitable-for-m-health-services-supporting-content-and-semantic-based-image-retrieval-on-a-grid-infrastructure
#7
Alexandra La Cruz, Ruben Medina, Francisco Vega, Wilson Perez, Blanca Ochoa, Victor Saquicela, Mauricio Espinoza, Lizandro Solano-Quinde, Maria-Esther Vidal, Alexandra La Cruz, Ruben Medina, Francisco Vega, Wilson Perez, Blanca Ochoa, Victor Saquicela, Mauricio Espinoza, Lizandro Solano-Quinde, Maria-Esther Vidal, Victor Saquicela, Francisco Vega, Mauricio Espinoza, Lizandro Solano-Quinde, Blanca Ochoa, Maria-Esther Vidal, Alexandra La Cruz, Ruben Medina, Wilson Perez
Teleradiology systems tackle the problem of transferring radiological images between medical image workstations for facilitating different medical activities, e.g., diagnosis, treatment and follow up a patient, medical training, or consulting second opinion. Nowadays, m-Health (aka mobile health) is becoming popular because of high quality of mobile displays, although remains a work in progress. In this paper a mobile teleradiology system is reported, which main contribution is the development of a platform: (1) supported by a Grid infrastructure, (2) using biomedical ontologies for adding semantic annotations on medical images, and (3) supporting semantic and content-based image retrieval...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227695/implantable-gastric-electric-stimulator-with-automatic-daily-activity-compliance-reporting
#8
Eri Takami, Javier J Sanchez, Rose Province, Antonio J Torres, Eri Takami, Javier J Sanchez, Rose Province, Antonio J Torres, Eri Takami, Javier J Sanchez, Antonio J Torres, Rose Province
In order for any obesity therapy to be successful real behavior change by the individual is required. We present an implantable obesity therapy that combines gastric electrical stimulation for satiety with onboard sensors that provide self-monitoring for the patient and compliance reporting to the clinician. An algorithm for processing data from the onboard three axis accelerometer for use in physical activity monitoring was developed and validated. Four obese patients participated in a study where self-reported sleep and exercise was compared with the events detected by the implanted system, and two commercially available, wearable activity monitors...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227624/relationship-between-gait-variables-and-domains-of-neurologic-dysfunction-in-multiple-sclerosis-using-six-minute-walk-test
#9
Asma Qureshi, Maite Brandt-Pearce, Myla D Goldman, Asma Qureshi, Maite Brandt-Pearce, Myla D Goldman, Asma Qureshi, Myla D Goldman, Maite Brandt-Pearce
Most multiple sclerosis (MS) patients eventually suffer from mobility impairment, and thus it is critical that walking disability in MS be accurately assessed. The six-minute walk test (6MWT), a reliable MS measure, is traditionally used to determine the distance covered in six minutes using a standard protocol. With the availability of body sensor networks (BSNs), researchers are interested in leveraging BSN data for finding new gait assessment anchors for improved separability performance. Further, current methods for gait assessments are insufficient since assessments are absolute, performed by comparing outcomes to the statistical norms established from diverse patient data despite natural inter-patient variability...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227608/a-triboelectric-motion-sensor-in-wearable-body-sensor-network-for-human-activity-recognition
#10
Hui Huang, Xian Li, Ye Sun, Hui Huang, Xian Li, Ye Sun, Ye Sun, Hui Huang, Xian Li
The goal of this study is to design a novel triboelectric motion sensor in wearable body sensor network for human activity recognition. Physical activity recognition is widely used in well-being management, medical diagnosis and rehabilitation. Other than traditional accelerometers, we design a novel wearable sensor system based on triboelectrification. The triboelectric motion sensor can be easily attached to human body and collect motion signals caused by physical activities. The experiments are conducted to collect five common activity data: sitting and standing, walking, climbing upstairs, downstairs, and running...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227606/video-analysis-validation-of-a-real-time-physical-activity-detection-algorithm-based-on-a-single-waist-mounted-tri-axial-accelerometer-sensor
#11
Alan K Bourke, Espen A F Ihlen, Pepijn Van de Ven, John Nelson, Jorunn L Helbostad, Alan K Bourke, Espen A F Ihlen, Pepijn Van de Ven, John Nelson, Jorunn L Helbostad, Jorunn L Helbostad, Alan K Bourke, John Nelson, Pepijn Van de Ven, Espen Af Ihlen
We have validated a real-time activity classification algorithm based on monitoring by a body worn system which is potentially suitable for low-power applications on a relatively computationally lightweight processing unit. The algorithm output was validated using annotation data generated from video recordings of 20 elderly volunteers performing both a semi-structured protocol and a free-living protocol. The algorithm correctly identified sitting 75.1% of the time, standing 68.8% of the time, lying 50.9% of the time, and walking and other upright locomotion 82...
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
#12
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/28227533/upper-extremity-post-stroke-motion-quality-estimation-with-decision-trees-and-bagging-forests
#13
Sarvenaz Chaeibakhsh, Elissa Phillips, Amanda Buchanan, Eric Wade, Sarvenaz Chaeibakhsh, Elissa Phillips, Amanda Buchanan, Eric Wade, Elissa Phillips, Sarvenaz Chaeibakhsh, Amanda Buchanan, Eric Wade
Stroke is one of the leading causes of long-term disability. Approximately two thirds of stroke survivors require long-term rehabilitation, which suggests the importance of understanding movement quality in real-world settings. To address this need, we have developed an approach that quantifies physical activity and also evaluates performance quality. Accelerometer and gyroscope sensor data are used to measure upper extremity movements and to develop a mathematical framework to relate objective sensor data to clinical performance metrics...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227218/effect-of-wearable-sensor-dynamics-on-physical-activity-estimates-a-comparison-between-sci-vs-healthy-individuals
#14
C Jayaraman, C K Mummidisetty, A Jayaraman, C Jayaraman, C K Mummidisetty, A Jayaraman, C K Mummidisetty, A Jayaraman, C 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/28227214/activity-recognition-in-patients-with-lower-limb-impairments-do-we-need-training-data-from-each-patient
#15
Luca Lonini, Aakash Gupta, Konrad Kording, Arun Jayaraman, Luca Lonini, Aakash Gupta, Konrad Kording, Arun Jayaraman, Luca Lonini, Konrad Kording, Arun Jayaraman, Aakash Gupta
Machine learning allows detecting specific physical activities using data from wearable sensors. Such a quantification of patient mobility over time promises to accurately inform clinical decisions for physical rehabilitation. There are two strategies of setting up the machine learning problem: detect one patient's activities using data from the same patient (personal model) or detect their activities using data from other patients (global model), and we currently do not know if personal models are necessary...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227060/a-statistical-estimation-framework-for-energy-expenditure-of-physical-activities-from-a-wrist-worn-accelerometer
#16
Qiao Wang, Suhas Lohit, Meynard John Toledo, Matthew P Buman, Pavan Turaga, Qiao Wang, Suhas Lohit, Meynard John Toledo, Matthew P Buman, Pavan Turaga, Pavan Turaga, Suhas Lohit, Qiao Wang, Matthew P Buman, Meynard John Toledo
Energy expenditure (EE) estimation from accelerometer-based wearable sensors is important to generate accurate assessment of physical activity (PA) in individuals. Approaches hitherto have mainly focused on using accelerometer data and features extracted from these data to learn a regression model to predict EE directly. In this paper, we propose a novel framework for EE estimation based on statistical estimation theory. Given a test sequence of accelerometer data, the probability distribution on the PA classes is estimated by a classifier and these predictions are used to estimate EE...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226945/transferring-knowledge-during-dyadic-interaction-the-role-of-the-expert-in-the-learning-process
#17
Edwin Johnatan Avila Mireles, Dalia De Santis, Pietro Morasso, Jacopo Zenzeri, Edwin Johnatan Avila Mireles, Dalia De Santis, Pietro Morasso, Jacopo Zenzeri, Jacopo Zenzeri, Pietro Morasso, Edwin Johnatan Avila Mireles, Dalia De Santis
Physical interaction between man and machines is increasing the interest of the research as well as the industrial community. It is known that physical coupling between active persons can be beneficial and increase the performance of the dyad compared to an individual. However, the factors that may result in performance benefits are still poorly understood. The aim of this work is to investigate how the different initial skill levels of the interacting partners influence the learning of a stabilization task...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226908/s2ni-a-mobile-platform-for-nutrition-monitoring-from-spoken-data
#18
Niloofar Hezarjaribi, Cody A Reynolds, Drew T Miller, Naomi Chaytor, Hassan Ghasemzadeh, Niloofar Hezarjaribi, Cody A Reynolds, Drew T Miller, Naomi Chaytor, Hassan Ghasemzadeh, Hassan Ghasemzadeh, Cody A Reynolds, Naomi Chaytor, Niloofar Hezarjaribi, Drew T Miller
Diet and physical activity are important lifestyle and behavioral factors in self-management and prevention of many chronic diseases. Mobile sensors such as accelerometers have been used in the past to objectively measure physical activity or detect eating time. Diet monitoring, however, still relies on self-recorded data by end users where individuals use mobile devices for recording nutrition intake by either entering text or taking images. Such approaches have shown low adherence in technology adoption and achieve only moderate accuracy...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226845/validation-of-empirical-mode-decomposition-combined-with-notch-filtering-to-extract-electrical-stimulation-artifact-from-surface-electromyograms-during-functional-electrical-stimulation
#19
Rakesh Pilkar, Arvind Ramanujam, Erica Garbarini, Gail Forrest, Rakesh Pilkar, Arvind Ramanujam, Erica Garbarini, Gail Forrest, Rakesh Pilkar, Erica Garbarini, Arvind Ramanujam, Gail Forrest
This paper presents the validity of Empirical Mode Decomposition (EMD) combined with Notch filtering to remove the electrical stimulation (ES) artifact from surface electromyogram (EMG) data for interpretation of muscle responses during Functional Electrical Stimulation (FES) experiments. We hypothesized that the EMD algorithm provides a suitable platform for decomposing the EMG signal into physically meaningful intrinsic mode functions (IMFs) which can be further used to isolate electrical stimulation (ES) artifact...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226751/deep-neural-ensemble-for-retinal-vessel-segmentation-in-fundus-images-towards-achieving-label-free-angiography
#20
A Lahiri, Abhijit Guha Roy, Debdoot Sheet, Prabir Kumar Biswas, A Lahiri, Abhijit Guha Roy, Debdoot Sheet, Prabir Kumar Biswas, Debdoot Sheet, Prabir Kumar Biswas, A Lahiri
Automated segmentation of retinal blood vessels in label-free fundus images entails a pivotal role in computed aided diagnosis of ophthalmic pathologies, viz., diabetic retinopathy, hypertensive disorders and cardiovascular diseases. The challenge remains active in medical image analysis research due to varied distribution of blood vessels, which manifest variations in their dimensions of physical appearance against a noisy background. In this paper we formulate the segmentation challenge as a classification task...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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