keyword
MENU ▼
Read by QxMD icon Read
search

globalization

keyword
https://www.readbyqxmd.com/read/28227985/a-multi-criteria-evaluation-platform-for-segmentation-algorithms
#1
Pierre Laurent, Thierry Cresson, Carlos Vazquez, Nicola Hagemeister, Jacques A de Guise, Pierre Laurent, Thierry Cresson, Carlos Vazquez, Nicola Hagemeister, Jacques A de Guise, Thierry Cresson, Carlos Vazquez, Nicola Hagemeister, Jacques A de Guise, Pierre Laurent
The purpose of this paper is to present a platform for evaluating segmentation algorithms that detect anatomical structures in medical images. Structure detection being subject to human interpretation, we first describe a method to define a ground truth model, i.e. a generated bronze standard, that will be the reference for subsequent analysis. This bronze standard will be characterized in order to retrieve its confidence level that will later be used to normalize the algorithm evaluation. We then describe how the developed platform helps in evaluating algorithm performances described using five evaluation criteria: accuracy, reliability, robustness, under/over segmentation sensitivity and outlier sensitivity...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227938/integrated-rf-shim-coil-allowing-two-degrees-of-freedom-shim-current
#2
Jiazheng Zhou, Ying-Hua Chu, Yi-Cheng Hsu, Pu-Yeh Wu, Jason P Stockmann, Fa-Hsuan Lin, Jiazheng Zhou, Ying-Hua Chu, Yi-Cheng Hsu, Pu-Yeh Wu, Jason P Stockmann, Fa-Hsuan Lin, Pu-Yeh Wu, Jason P Stockmann, Fa-Hsuan Lin, Jiazheng Zhou, Ying-Hua Chu, Yi-Cheng Hsu
High-quality magnetic resonance imaging and spectroscopic measurements require a highly homogeneous magnetic field. Different from global shimming, localized off-resonance can be corrected by using multi-coil shimming. Previously, integrated RF and shimming coils have been used to implement multi-coil shimming. Such coils share the same conductor for RF signal reception and shim field generation. Here we propose a new design of the integrated RF-shim coil at 3-tesla, where two independent shim current paths are allowed in each coil...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227914/automated-classification-of-pathological-gait-after-stroke-using-ubiquitous-sensing-technology
#3
Elham Dolatabadi, Babak Taati, Alex Mihailidis, Elham Dolatabadi, Babak Taati, Alex Mihailidis, Babak Taati, Alex Mihailidis, Elham Dolatabadi
This study uses machine learning methods to distinguish between healthy and pathological gait. Examples of multi-dimensional pathological and normal gait sequences were collected from post-stroke and healthy individuals in a real clinical setting and with two Kinect sensors. The trajectories of rotational angle and global velocity of selected body joints (hips, spine, shoulders, neck, knees and ankles) over time formed the gait sequences. The combination of k nearest neighbor (kNN) and dynamic time warping (DTW) was used for classification...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227891/design-and-preliminary-assessment-of-a-smart-textile-for-respiratory-monitoring-based-on-an-array-of-fiber-bragg-gratings
#4
C Massaroni, M Ciocchetti, G Di Tomaso, P Saccomandi, M A Caponero, A Polimadei, D Formica, E Schena, C Massaroni, M Ciocchetti, G Di Tomaso, P Saccomandi, M A Caponero, A Polimadei, D Formica, E Schena, G Di Tomaso, M A Caponero, E Schena, M Ciocchetti, C Massaroni, A Polimadei, P Saccomandi, D Formica
Comfortable and easy to wear smart textiles have gained popularity for continuous respiratory monitoring. Among different emerging technologies, smart textiles based on fiber optic sensors (FOSs) have several advantages, like Magnetic Resonance (MR)-compatibility and good metrological properties. In this paper we report on the development and assessment of an MR-compatible smart textiles based on FOSs for respiratory monitoring. The system consists of six fiber Bragg grating (FBG) sensors glued on the textile to monitor six compartments of the chest wall (i...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227759/mining-cross-frequency-coupling-microstates-cfc%C3%AE-states-from-eeg-recordings-during-resting-state-and-mental-arithmetic-tasks
#5
Stavros I Dimitriadis, Yu Sun, Nitish Thakor, Anastasios Bezerianos, Stavros I Dimitriadis, Yu Sun, Nitish Thakor, Anastasios Bezerianos, Stavros I Dimitriadis, Yu Sun, Nitish Thakor, Anastasios Bezerianos
The functional brain connectivity has been studied by analyzing synchronization between dynamic oscillations of identical frequency or between different frequencies of distinct brain areas. It has been hypothesized that cross-frequency coupling (CFC) between different frequency bands is the carrier mechanism for the coordination of global and local neural processes and hence supports the distributed information processing in the brain. In the present study, we attempt to study the dynamic evolution of CFC at resting-state and during a mental task...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227758/mining-cross-frequency-coupling-microstates-from-resting-state-meg-an-application-to-mild-traumatic-brain-injury
#6
Marios Antonakakis, Stavros I Dimitriadis, Michalis Zervakis, Andrew C Papanicolaou, George Zouridakis, Marios Antonakakis, Stavros I Dimitriadis, Michalis Zervakis, Andrew C Papanicolaou, George Zouridakis, Michalis Zervakis, Marios Antonakakis, George Zouridakis, Andrew C Papanicolaou, Stavros I Dimitriadis
Recent studies have investigated the possible role of dynamic functional connectivity and the role of cross-frequency coupling (CFC) to provide the substrate for reliable biomarkers of brain disorders. In this study, we analyzed time-varying CFC profiles from resting state Magnetoencephal-ographic recordings of 30 mild Traumatic Brain Injury (mTBI) patients and 50 normal controls. Interactions among sensors at specific pairs of frequency bands were computed via estimation of phase-to-amplitude couplings. We then computed time-varying functional connectivity graphs that were described in terms of segregation (local efficiency, LE) and integration (global efficiency, GE) and mapped those graphs to time series of GE/LE estimates...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227703/evaluation-of-lung-ventilation-distribution-in-chronic-obstructive-pulmonary-disease-patients-using-the-global-inhomogeneity-index
#7
F Trenk, L Mendes, P Carvalho, R P Paiva, J Henriques, N Maglaveras, I Chouvarda, V Tsara, C A Teixeira, F Trenk, L Mendes, P Carvalho, R P Paiva, J Henriques, N Maglaveras, I Chouvarda, V Tsara, C A Teixeira, P Carvalho, V Tsara, L Mendes, C A Teixeira, J Henriques, F Trenk, N Maglaveras, I Chouvarda, R P Paiva
The global inhomogeneity (GI) index is a electrical impedance tomography (EIT) parameter that quantifies the tidal volume distribution within the lung. In this work the global inhomogeneity index was computed for twenty subjects in order to evaluate his potential use in the detection and follow up of chronic obstructive pulmonary disease (COPD) patients. EIT data of 17 subjects were acquired: 14 patients with the main diagnoses of COPD and 3 healthy subjects which served as a control group. Two or three datasets of around 30 seconds were acquired at 33 scans/s and analysed for each subject...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227680/a-mobile-platform-for-automated-screening-of-asthma-and-chronic-obstructive-pulmonary-disease
#8
Daniel B Chamberlain, Rahul Kodgule, Richard Ribon Fletcher, Daniel B Chamberlain, Rahul Kodgule, Richard Ribon Fletcher, Daniel B Chamberlain, Richard Ribon Fletcher, Rahul Kodgule
Chronic Obstructive Pulmonary Disease (COPD) and asthma each represent a large proportion of the global disease burden; COPD is the third leading cause of death worldwide and asthma is one of the most prevalent chronic diseases, afflicting over 300 million people. Much of this burden is concentrated in the developing world, where patients lack access to physicians trained in the diagnosis of pulmonary disease. As a result, these patients experience high rates of underdiagnosis and misdiagnosis. To address this need, we present a mobile platform capable of screening for Asthma and COPD...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227399/functional-connectivity-analysis-using-whole-brain-and-regional-network-metrics-in-ms-patients
#9
V C Chirumamilla, V Fleischer, A Droby, T Anjum, M Muthuraman, F Zipp, S Groppa, V C Chirumamilla, V Fleischer, A Droby, T Anjum, M Muthuraman, F Zipp, S Groppa, A Droby, S Groppa, F Zipp, V C Chirumamilla, T Anjum, V Fleischer, M Muthuraman
In the present study we investigated brain network connectivity differences between patients with relapsing-remitting multiple sclerosis (RRMS) and healthy controls (HC) as derived from functional resonance magnetic imaging (fMRI) using graph theory. Resting state fMRI data of 18 RRMS patients (12 female, mean age ± SD: 42 ± 12.06 years) and 25 HC (8 female, 29.2 ± 5.38 years) were analyzed. In order to obtain information of differences in entire brain network, we focused on both, local and global network connectivity parameters...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227393/an-integrated-neuroprotective-intervention-for-brain-ischemia-validated-by-ecog-fpam
#10
Yu-Hang Liu, Lun-De Liao, Su Jing Chan, Aishwarya Bandla, Nitish V Thakor, Yu-Hang Liu, Lun-De Liao, Su Jing Chan, Aishwarya Bandla, Nitish V Thakor, Yu-Hang Liu, Aishwarya Bandla, Nitish V Thakor, Su Jing Chan, Lun De Liao
Brain ischemia is a neurological deficit caused by a reduction in the blood supply to tissue, and one of the leading causes of disability in the world. Currently, the most well-known therapeutic agent for ischemia recovery is recombinant tissue plasminogen activator (rtPA), but it is viable for only a small portion (approximately 3.6%) of ischemic patients and may cause side effects such as tissue damage. Thus, introducing a new therapeutic concept for ischemia, we proposed an integrated intervention combining global and focal stimulations in this article...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227391/a-frequency-based-spatial-filter-to-mitigate-volume-conduction-in-electroencephalogram-signals
#11
Srinivas Kota, Adre du Plessis, An N Massaro, Taeun Chang, Tareq Al-Shargabi, Rathinaswamy B Govindan, Srinivas Kota, Adre du Plessis, An N Massaro, Taeun Chang, Tareq Al-Shargabi, Rathinaswamy B Govindan, Taeun Chang, Srinivas Kota, Rathinaswamy B Govindan, Tareq Al-Shargabi, Adre Du Plessis, An N Massaro
Volume conduction is a major problem in spatial-temporal electroencephalogram (EEG) signals. We propose a frequency dependent subtraction approach to address the volume conduction problem in EEG signals. We validate the proposed approach using simulated data and discuss the application of the approach to the EEG data recorded from three sick infants. The frequency dependent subtraction mitigated the common signal better than the traditionally used re-referencing the EEG signals to the global average of EEG from all electrodes...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227330/changes-in-inhaler-inhalation-acoustic-features-during-induced-bronchoconstriction-a-pilot-study
#12
Thomas A McCartan, Terence E Taylor, Imran Sulaiman, Richard W Costello, Richard B Reilly, Thomas A McCartan, Terence E Taylor, Imran Sulaiman, Richard W Costello, Richard B Reilly, Richard B Reilly, Thomas A McCartan, Terence E Taylor, Imran Sulaiman, Richard W Costello
Asthma is a chronic respiratory disease affecting millions of people worldwide, and is consequently a major issue for global health. Exacerbations are acute events involving the worsening of asthma's primary respiratory symptoms and are a major cause of morbidity in asthma patients, largely due to the unpredictability of their onset. This study aimed to investigate the relationship between changes in acoustic features of inhaler inhalations and changes in forced expiratory volume in one second (FEV1) that occur during a simulated exacerbation, a bronchial challenge test (BCT)...
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
#13
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/28227196/low-cost-and-efficient-kurtosis-based-deflationary-ica-method-application-to-mrs-sources-separation-problem
#14
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/28227140/map-reduce-for-optimizing-a-large-scale-dynamic-network-the-internet-of-hearts
#15
Chen Kan, Fabio M Leonelli, Hui Yang, Chen Kan, Fabio M Leonelli, Hui Yang, Hui Yang, Chen Kan, Fabio M Leonelli
Rapid advancements of sensing and mobile technology provide an unprecedented opportunity to empower smart and connected healthcare. Realizing the full potential of connected care depends, however, to a great extent on the capability of data analytics. Our previous study proposed a next-generation mobile health system, namely, the Internet of Heart (IoH). The IoH embeds patients into a dynamic network, where the distance between network nodes is determined by the dissimilarity of patients' conditions. Dynamics of the network reveal the change of clinical status of patients...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227067/computational-estimation-of-the-severity-of-coronary-lesions-with-intravascular-ultrasound-images-a-pilot-study
#16
Panagiotis K Siogkas, Michail I Papafaklis, Bill D Gogas, Habib Samady, Lampros K Michalis, Dimitrios I Fotiadis, Panagiotis K Siogkas, Michail I Papafaklis, Bill D Gogas, Habib Samady, Lampros K Michalis, Dimitrios I Fotiadis, Bill D Gogas, Habib Samady, Michail I Papafaklis, Dimitrios I Fotiadis, Panagiotis K Siogkas, Lampros K Michalis
The fast and accurate hemodynamic functional assessment of the coronary vasculature is of utmost importance in clinical practice due to the fact that Cardiovascular Diseases have become the leading cause of death globally. In this work we propose a novel method that combines two of the most efficient methods of hemodynamic status assessment of coronary arteries, Intravascular UtraSound and virtual Functional Assessment Index, an index that correlates well to the measured Fractional Flow Reserve. One Left Anterior Descending segment was reconstructed both in a straight manner (using only IVUS images) as well as using the actual 3D geometry of the vessel (using IvUS images combined with the respective coronary angiographic images [2])...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227062/vision-based-responders-localization-techniques-in-urban-search-and-rescue-scenarios
#17
Zhuorui Yang, Aura Ganz, Zhuorui Yang, Aura Ganz, Zhuorui Yang, Aura Ganz
In this paper, we introduce a vision-based localization algorithm that can accurately track responders during rescue operations in urban areas that are Global Navigation Satellite System (GNSS)-denied. The proposed algorithm works successfully with the rich visual features of an urban environment and obtains an average localization accuracy of 2.5 ft. In addition, we also provide a 3D representation of the disaster field which reflects the current conditions of the site.
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226776/an-in-silico-model-of-the-effects-of-vitamin-d3-on-mycobacterium-infected-macrophage
#18
Maya Gough, Elebeoba May, Maya Gough, Elebeoba May, Maya Gough, Elebeoba May
Mycobacterium tuberculosis is a global health concern, causing over one million deaths a year. Alveolar macrophages, as the primary host cell of this intracellular bacterium, play an important role in the course of disease. Vitamin D3 is known to have a potent effect on macrophage behavior during infection, modulating the production of pro- and anti-inflammatory cytokines and immune effector molecules. In a vitamin D3 deficient host, the immune systems response to infection is greatly impaired. We used a quantitative systems biology approach to model the intracellular effects of vitamin D3 and compared our simulation output to our in vitro model of mycobacterium infection of macrophages in the presence and absence of Vitamin D3...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226771/multimodal-characterization-of-radiologically-detectable-lung-lesions
#19
Atasi Sarkar, A Sadhu, S Basu Thakur, S Sengupta, A Mukherjee, Jyotirmoy Chatterjee, Atasi Sarkar, A Sadhu, S Basu Thakur, S Sengupta, A Mukherjee, Jyotirmoy Chatterjee, S Basu Thakur, A Mukherjee, Atasi Sarkar, S Sengupta, A Sadhu, Jyotirmoy Chatterjee
Diagnosing radiologically detectable lung lesions on the basis of cyto/histopathological staining often suffers from ambiguity, leading to faulty detection of lung diseases, especially cancer. Present study attempted to perform a multimodal characterzation of clinical samples from patients with radiologically detected lung lesions, in order to classify diseases with higher precision. The study included analysing nuclear morphometric and intensity based differences between benign and malignant lung lesions in a quantitative way...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226767/place-field-detection-using-grid-based-clustering-in-a-large-scale-computational-model-of-the-rat-dentate-gyrus
#20
Gene J Yu, Dong Song, Theodore W Berger, Gene J Yu, Dong Song, Theodore W Berger, Dong Song, Gene J Yu, Theodore W Berger
Place cells are neurons in the hippocampus that are sensitive to location within an environment. Simulations of a large-scale, computational model of the rat dentate gyrus using grid cell input have been performed resulting in granule cells that express multiple place fields. The typical method of detecting place fields using a global threshold on this data is unreliable as the characteristics of the place fields from a single neuron can be highly variable. A grid-based implementation of DENCLUE has been developed to calculate local thresholds to identify each place field...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
keyword
keyword
115442
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"