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Medical & Biological Engineering & Computing

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https://www.readbyqxmd.com/read/27909939/a-novel-fuzzy-approach-for-automatic-brunnstrom-stage-classification-using-surface-electromyography
#1
Luca Liparulo, Zhe Zhang, Massimo Panella, Xudong Gu, Qiang Fang
Clinical assessment plays a major role in post-stroke rehabilitation programs for evaluating impairment level and tracking recovery progress. Conventionally, this process is manually performed by clinicians using chart-based ordinal scales which can be both subjective and inefficient. In this paper, a novel approach based on fuzzy logic is proposed which automatically evaluates stroke patients' impairment level using single-channel surface electromyography (sEMG) signals and generates objective classification results based on the widely used Brunnstrom stages of recovery...
December 1, 2016: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/27873155/physiology-based-regularization-of-the-electrocardiographic-inverse-problem
#2
Matthijs J M Cluitmans, Michael Clerx, Nele Vandersickel, Ralf L M Peeters, Paul G A Volders, Ronald L Westra
The inverse problem of electrocardiography aims at noninvasively reconstructing electrical activity of the heart from recorded body-surface electrocardiograms. A crucial step is regularization, which deals with ill-posedness of the problem by imposing constraints on the possible solutions. We developed a regularization method that includes electrophysiological input. Body-surface potentials are recorded and a computed tomography scan is performed to obtain the torso-heart geometry. Propagating waveforms originating from several positions at the heart are simulated and used to generate a set of basis vectors representing spatial distributions of potentials on the heart surface...
November 21, 2016: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/27858227/plug-play-brain-computer-interfaces-for-effective-active-and-assisted-living-control
#3
Niccolò Mora, Ilaria De Munari, Paolo Ciampolini, José Del R Millán
Brain-Computer Interfaces (BCI) rely on the interpretation of brain activity to provide people with disabilities with an alternative/augmentative interaction path. In light of this, BCI could be considered as enabling technology in many fields, including Active and Assisted Living (AAL) systems control. Interaction barriers could be removed indeed, enabling user with severe motor impairments to gain control over a wide range of AAL features. In this paper, a cost-effective BCI solution, targeted (but not limited) to AAL system control is presented...
November 17, 2016: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/27853990/multi-parametric-study-of-temperature-and-thermal-damage-of-tumor-exposed-to-high-frequency-nanosecond-pulsed-electric-fields-based-on-finite-element-simulation
#4
Yan Mi, Shaoqin Rui, Chengxiang Li, Chenguo Yao, Jin Xu, Changhao Bian, Xuefeng Tang
High-frequency nanosecond-pulsed electric fields were recently introduced for tumor or abnormal tissue ablation to solve some problems of conventional electroporation. However, it is necessary to study the thermal effects of high-field-intensity nanosecond pulses inside tissues. The multi-parametric analysis performed here is based on a finite element model of liver tissue with a tumor that has been punctured by a pair of needle electrodes. The pulse voltage used in this study ranges from 1 to 4 kV, the pulse width ranges from 50 to 500 ns, and the repetition frequency is between 100 kHz and 1 MHz...
November 16, 2016: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/27837312/a-combination-of-parabolic-and-grid-slope-interpolation-for-2d-tissue-displacement-estimations
#5
John Albinsson, Åsa Rydén Ahlgren, Tomas Jansson, Magnus Cinthio
Parabolic sub-sample interpolation for 2D block-matching motion estimation is computationally efficient. However, it is well known that the parabolic interpolation gives a biased motion estimate for displacements greater than |y.2| samples (y = 0, 1, …). Grid slope sub-sample interpolation is less biased, but it shows large variability for displacements close to y.0. We therefore propose to combine these sub-sample methods into one method (GS15PI) using a threshold to determine when to use which method...
November 11, 2016: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/27830464/2d-to-3d-fusion-of-echocardiography-and-cardiac-ct-for-tavr-and-tavi-image-guidance
#6
Azira Khalil, Amir Faisal, Khin Wee Lai, Siew Cheok Ng, Yih Miin Liew
This study proposed a registration framework to fuse 2D echocardiography images of the aortic valve with preoperative cardiac CT volume. The registration facilitates the fusion of CT and echocardiography to aid the diagnosis of aortic valve diseases and provide surgical guidance during transcatheter aortic valve replacement and implantation. The image registration framework consists of two major steps: temporal synchronization and spatial registration. Temporal synchronization allows time stamping of echocardiography time series data to identify frames that are at similar cardiac phase as the CT volume...
November 9, 2016: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/27826817/considerations-in-applying-compressed-sensing-to-in-vivo-phosphorus-mr-spectroscopic-imaging-of-human-brain-at-3t
#7
Gokce Hale Hatay, Muhammed Yildirim, Esin Ozturk-Isik
The purpose of this study was to apply compressed sensing method for accelerated phosphorus MR spectroscopic imaging ((31)P-MRSI) of human brain in vivo at 3T. Fast (31)P-MRSI data of five volunteers were acquired on a 3T clinical MR scanner using pulse-acquire sequence with a pseudorandom undersampling pattern for a data reduction factor of 5.33 and were reconstructed using compressed sensing. Additionally, simulated (31)P-MRSI human brain tumor datasets were created to analyze the effects of k-space sampling pattern, data matrix size, regularization parameters of the reconstruction, and noise on the compressed sensing accelerated (31)P-MRSI data...
November 8, 2016: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/27822698/automatic-detection-and-classification-of-leukocytes-using-convolutional-neural-networks
#8
Jianwei Zhao, Minshu Zhang, Zhenghua Zhou, Jianjun Chu, Feilong Cao
The detection and classification of white blood cells (WBCs, also known as Leukocytes) is a hot issue because of its important applications in disease diagnosis. Nowadays the morphological analysis of blood cells is operated manually by skilled operators, which results in some drawbacks such as slowness of the analysis, a non-standard accuracy, and the dependence on the operator's skills. Although there have been many papers studying the detection of WBCs or classification of WBCs independently, few papers consider them together...
November 7, 2016: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/27817042/a-novel-approach-for-local-abdominal-aortic-aneurysm-growth-quantification
#9
Eleni Metaxa, Iordan Iordanov, Emmanuel Maravelakis, Yannis Papaharilaou
Although aneurysm size still remains the most accepted predictor of rupture risk, abdominal aortic aneurysms (AAAs) with maximum diameter smaller than 5 cm may also rupture. Growth rate is an additional marker for rupture risk as it potentially reflects an undesirable wall remodeling that leads to fast regional growth. Currently, an indication for surgery is an expansion rate >10 mm/year, measured as change in maximum diameter over time. However, as AAA expansion is non-uniform, it is questionable whether measurement of maximum diameter change over time can capture increased localized remodeling activity...
November 5, 2016: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/27787645/erratum-to-nasal-pressure-recordings-for-automatic-snoring-detection
#10
Hyo-Ki Lee, Hojoong Kim, Kyoung-Joung Lee
No abstract text is available yet for this article.
October 27, 2016: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/27785607/plastic-strains-during-stent-deployment-have-a-critical-influence-on-the-rate-of-corrosion-in-absorbable-magnesium-stents
#11
Emmet Galvin, Christy Cummins, Shoichiro Yoshihara, Bryan J Mac Donald, Caitríona Lally
Magnesium stents are a promising candidate in the emerging field of absorbable metallic stents (AMSs). In this study, the mechanical and corrosion performance of dog-bone specimens and a specific stent design of a magnesium alloy, WE43, are assessed experimentally in terms of their corrosion behaviour and mechanical integrity. It is shown that plastic strains that are induced in the struts of the stent during stent deployment have a critical influence in directing subsequent corrosion behaviour within the material...
October 26, 2016: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/27783311/fracture-characterization-of-human-cortical-bone-under-mode-ii-loading-using-the-end-notched-flexure-test
#12
F G A Silva, M F S F de Moura, N Dourado, J Xavier, F A M Pereira, J J L Morais, M I R Dias, P J Lourenço, F M Judas
Fracture characterization of human cortical bone under mode II loading was analyzed using a miniaturized version of the end-notched flexure test. A data reduction scheme based on crack equivalent concept was employed to overcome uncertainties on crack length monitoring during the test. The crack tip shear displacement was experimentally measured using digital image correlation technique to determine the cohesive law that mimics bone fracture behavior under mode II loading. The developed procedure was validated by finite element analysis using cohesive zone modeling considering a trapezoidal with bilinear softening relationship...
October 25, 2016: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/27766520/application-of-artificial-neural-network-model-combined-with-four-biomarkers-in-auxiliary-diagnosis-of-lung-cancer
#13
Xiaoran Duan, Yongli Yang, Shanjuan Tan, Sihua Wang, Xiaolei Feng, Liuxin Cui, Feifei Feng, Songcheng Yu, Wei Wang, Yongjun Wu
The purpose of the study was to explore the application of artificial neural network model in the auxiliary diagnosis of lung cancer and compare the effects of back-propagation (BP) neural network with Fisher discrimination model for lung cancer screening by the combined detections of four biomarkers of p16, RASSF1A and FHIT gene promoter methylation levels and the relative telomere length. Real-time quantitative methylation-specific PCR was used to detect the levels of three-gene promoter methylation, and real-time PCR method was applied to determine the relative telomere length...
October 20, 2016: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/27766519/sparse-representation-based-emd-and-blda-for-automatic-seizure-detection
#14
Shasha Yuan, Weidong Zhou, Junhui Li, Qi Wu
Epilepsy is a serious chronic neurological disorder, which affects more than 50 million people worldwide, and automatic seizure detection on EEG recordings is extremely required in the diagnosis and monitoring of epilepsy. This paper presents a novel seizure detection method using sparse representation-based Earth Mover's Distance (SR-EMD). In the proposed algorithm, wavelet decomposition is executed on the original EEG recordings with five scales, and the scales 3, 4 and 5 are selected to structure the distributions of EEG signals...
October 20, 2016: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/27766518/algorithm-to-improve-accuracy-of-energy-expended-in-a-room-calorimeter
#15
Haiying Quan, Wenrui Hao, Lu Li, Ming Sun, Kuan Zhang
The whole-room indirect calorimeter is considered as important equipment for human energy expenditure measurement, but noise reduction in the system remains a challenge. A selective filtering method (SFM) was designed to improve the accuracy of the computation of O2 consumption rate ([Formula: see text]) and CO2 production rate ([Formula: see text]), based on two facts: (1) the rapid changes of [Formula: see text], [Formula: see text] and respiratory quotient (RQ) in human should be accompanied by physical activity; (2) the oxygen consumption and the carbon dioxide production should not be negative because living humans do not generate oxygen, nor consume carbon dioxide...
October 20, 2016: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/27752930/3d-shape-analysis-to-reduce-false-positives-for-lung-nodule-detection-systems
#16
Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassú Nunes, Marcelo Gattass
Using images from the Image Database Consortium and Image Database Resource Initiative (LIDC-IDRI), we developed a methodology for classifying lung nodules. The proposed methodology uses image processing and pattern recognition techniques. To classify volumes of interest into nodules and non-nodules, we used shape measurements only, analyzing their shape using shape diagrams, proportion measurements, and a cylinder-based analysis. In addition, we use the support vector machine classifier. To test the proposed methodology, it was applied to 833 images from the LIDC-IDRI database, and cross-validation with k-fold, where [Formula: see text], was used to validate the results...
October 17, 2016: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/27744563/detection-of-exercise-periodic-breathing-using-thermal-flowmeter-in-patients-with-heart-failure
#17
Tieh-Cheng Fu, Wen-Chen Lin, Jong-Shyan Wang, Chao-Hung Wang, Chun-Tien Chang, Cheng-Lun Tsai, Yun-Shien Lee, Kang-Ping Lin
Exercise periodic breathing (EPB) is associated with exercise intolerance and poor prognosis in patients with heart failure (HF). However, EPB detection during cardiopulmonary exercise test (CPET) is difficult. The present study investigated the use of a wireless monitoring device to record the EPB during CPET and proposed quantization parameter estimates for the EPB. A total of 445 patients with HF were enrolled and underwent exercise tests. The ventilation data from the wearable device were compared with the data obtained during the CPET and were analyzed based on professional opinion and on 2 automated programs (decision tree [DT] and oscillatory pattern methods)...
October 15, 2016: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/27738858/microwave-technology-for-detecting-traumatic-intracranial-bleedings-tests-on-phantom-of-subdural-hematoma-and-numerical-simulations
#18
Stefan Candefjord, Johan Winges, Ahzaz Ahmad Malik, Yinan Yu, Thomas Rylander, Tomas McKelvey, Andreas Fhager, Mikael Elam, Mikael Persson
Traumatic brain injury is the leading cause of death and severe disability for young people and a major public health problem for elderly. Many patients with intracranial bleeding are treated too late, because they initially show no symptoms of severe injury and are not transported to a trauma center. There is a need for a method to detect intracranial bleedings in the prehospital setting. In this study, we investigate whether broadband microwave technology (MWT) in conjunction with a diagnostic algorithm can detect subdural hematoma (SDH)...
October 13, 2016: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/27734309/cerebrovascular-pattern-improved-by-ozone-autohemotherapy-an-entropy-based-study-on-multiple-sclerosis-patients
#19
Filippo Molinari, Daniele Rimini, William Liboni, U Rajendra Acharya, Marianno Franzini, Sergio Pandolfi, Giovanni Ricevuti, Francesco Vaiano, Luigi Valdenassi, Vincenzo Simonetti
Ozone major autohemotherapy is effective in reducing the symptoms of multiple sclerosis (MS) patients, but its effects on brain are still not clear. In this work, we have monitored the changes in the cerebrovascular pattern of MS patients and normal subjects during major ozone autohemotherapy by using near-infrared spectroscopy (NIRS) as functional and vascular technique. NIRS signals are analyzed using a combination of time, time-frequency analysis and nonlinear analysis of intrinsic mode function signals obtained from empirical mode decomposition technique...
October 12, 2016: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/27709408/coupling-of-shear-circumferential-stress-pulses-investigation-through-stress-phase-angle-in-fsi-models-of-stenotic-artery-using-experimental-data
#20
Milad Samaee, Mohammad Tafazzoli-Shadpour, Hamed Alavi
Many cardiovascular diseases are closely associated with hemodynamic parameters. The main purpose of this study is mimicking a physiological blood flow in stenotic arteries to provide an understanding of hemodynamic parameters. An experimental setup was designed to produce original pulsatile flow and measure pressure pulse waves through a compliant tube. Moreover, a numerical model considering fluid-solid interaction was developed to investigate wall shear stress and circumferential stress waves, based on the results of the experiments...
October 5, 2016: Medical & Biological Engineering & Computing
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