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Medical & Biological Engineering & Computing

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https://www.readbyqxmd.com/read/28204998/discrimination-between-emboli-and-artifacts-for-outpatient-transcranial-doppler-ultrasound-data
#1
Blaise Kévin Guépié, Bruno Sciolla, Fabien Millioz, Marilys Almar, Philippe Delachartre
This paper addresses the detection of emboli in transcranial Doppler ultrasound data acquired from an original portable device. The challenge is the removal of several artifacts (motion and voice) intrinsically related to long-duration (up to 1 h 40 mn per patient) outpatient signals monitoring from this device, as well as high intensities due to the stochastic nature of blood flow. This paper proposes an adapted removal procedure. This firstly consists of reducing the background noise and detecting the blood flow in the time-frequency domain using a likelihood method for contour detection...
February 15, 2017: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/28197810/a-wrist-sensor-and-algorithm-to-determine-instantaneous-walking-cadence-and-speed-in-daily-life-walking
#2
Benedikt Fasel, Cyntia Duc, Farzin Dadashi, Flavien Bardyn, Martin Savary, Pierre-André Farine, Kamiar Aminian
In daily life, a person's gait-an important marker for his/her health status-is usually assessed using inertial sensors fixed to lower limbs or trunk. Such sensor locations are not well suited for continuous and long duration measurements. A better location would be the wrist but with the drawback of the presence of perturbative movements independent of walking. The aim of this study was to devise and validate an algorithm able to accurately estimate walking cadence and speed for daily life walking in various environments based on acceleration measured at the wrist...
February 14, 2017: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/28194649/numerical-modeling-of-percutaneous-auricular-vagus-nerve-stimulation-a-realistic-3d-model-to-evaluate-sensitivity-of-neural-activation-to-electrode-position
#3
Amine M Samoudi, Stefan Kampusch, Emmeric Tanghe, Jozsef C Széles, Luc Martens, Eugenijus Kaniusas, Wout Joseph
OBJECTIVE: Percutaneous stimulation of the auricular branch of the vagus nerve (pVNS) by miniaturized needle electrodes in the auricle gained importance as a treatment for acute and chronic pain. The objective is to establish a realistic numerical model of pVNS and investigate the effects of stimulation waveform, electrodes' depth, and electrodes' position on nerve excitation threshold and the percentage of stimulated nerves. METHODS: Simulations were performed with Sim4Life...
February 13, 2017: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/28194648/epileptic-seizure-classifications-of-single-channel-scalp-eeg-data-using-wavelet-based-features-and-svm
#4
Suparerk Janjarasjitt
In this study, wavelet-based features of single-channel scalp EEGs recorded from subjects with intractable seizure are examined for epileptic seizure classification. The wavelet-based features extracted from scalp EEGs are simply based on detail and approximation coefficients obtained from the discrete wavelet transform. Support vector machine (SVM), one of the most commonly used classifiers, is applied to classify vectors of wavelet-based features of scalp EEGs into either seizure or non-seizure class. In patient-based epileptic seizure classification, a training data set used to train SVM classifiers is composed of wavelet-based features of scalp EEGs corresponding to the first epileptic seizure event...
February 13, 2017: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/28188471/visualization-of-vascular-injuries-in-extremity-trauma
#5
Kwitae Chong, Chenfanfu Jiang, Daniel Ram, Anand Santhanam, Demetri Terzopoulos, Peyman Benharash, Erik Dutson, Joseph Teran, Jeff D Eldredge
A tandem of particle-based computational methods is adapted to simulate injury and hemorrhage in the human body. In order to ensure anatomical fidelity, a three-dimensional model of a targeted portion of the human body is reconstructed from a dense sequence of CT scans of an anonymized patient. Skin, bone and muscular tissue are distinguished in the imaging data and assigned with their respective material properties. An injury geometry is then generated by simulating the mechanics of a ballistic projectile passing through the anatomical model with the material point method...
February 11, 2017: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/28188470/modeling-the-effect-of-tilting-passive-leg-exercise-and-functional-electrical-stimulation-on-the-human-cardiovascular-system
#6
Amirehsan Sarabadani Tafreshi, Jan Okle, Verena Klamroth-Marganska, Robert Riener
Long periods of bed rest negatively affect the human body organs, notably the cardiovascular system. To avert these negative effects and promote functional recovery in patients dealing with prolonged bed rest, the goal is to mobilize them as early as possible while controlling and stabilizing their cardiovascular system. A robotic tilt table allows early mobilization by modulating body inclination, automated passive leg exercise, and the intensity of functional electrical stimulation applied to leg muscles (inputs)...
February 10, 2017: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/28188469/investigation-of-interaction-phenomena-between-crural-fascia-and-muscles-by-using-a-three-dimensional-numerical-model
#7
Piero G Pavan, Paola Pachera, Antonella Forestiero, Arturo N Natali
The focus of this work is the numerical modeling of the anterior compartment of the human leg with particular attention to crural fascia. Interaction phenomena between fascia and muscles are of clinical interest to explain some pathologies, as the compartment syndrome. A first step to enhance knowledge on this topic consists in the investigation of fascia biomechanical role and its interaction with muscles in physiological conditions. A three-dimensional finite element model of the anterior compartment is developed based on anatomical data, detailing the structural conformation of crural fascia, composed of three layers, and modeling the muscles as a unique structure...
February 10, 2017: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/28185050/a-unified-canonical-correlation-analysis-based-framework-for-removing-gradient-artifact-in-concurrent-eeg-fmri-recording-and-motion-artifact-in-walking-recording-from-eeg-signal
#8
Junhua Li, Yu Chen, Fumihiko Taya, Julian Lim, Kianfoong Wong, Yu Sun, Anastasios Bezerianos
Artifacts cause distortion and fuzziness in electroencephalographic (EEG) signal and hamper EEG analysis, so it is necessary to remove them prior to the analysis. Particularly, artifact removal becomes a critical issue in experimental protocols with significant inherent recording noise, such as mobile EEG recordings and concurrent EEG-fMRI acquisitions. In this paper, we proposed a unified framework based on canonical correlation analysis for artifact removal. Raw signals were reorganized to construct a pair of matrices, based on which sources were sought through maximizing autocorrelation...
February 9, 2017: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/28185049/developing-a-novel-epileptic-discharge-localization-algorithm-for-electroencephalogram-infantile-spasms-during-hypsarrhythmia
#9
Supachan Traitruengsakul, Laurie E Seltzer, Alex R Paciorkowski, Behnaz Ghoraani
Infantile spasms (ISS) is a devastating epileptic syndrome that affects children under the age of 1 year. The diagnosis of ISS is based on the semiology of the seizure and the electroencephalogram (EEG) background characterized by hypsarrhythmia (HYPS). However, even skilled electrophysiologists may interpret the EEG of children with ISS differently, and commercial software or existing epilepsy detection algorithms are not helpful. Since EEG is a key factor in the diagnosis of ISS, misinterpretation could result in serious consequences including inappropriate treatment...
February 9, 2017: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/28176266/effects-on-the-torsional-vibration-behavior-in-the-investigation-of-dental-implant-osseointegration-using-resonance-frequency-analysis-a-numerical-approach
#10
Min Zhai, Bing Li, Dehua Li
Resonance frequency analysis (RFA) methods are widely used to assess implant stability, particularly the Osstell(®) device. The potential effects associated with this method have been discussed in the literature. Torsional RFA (T-RFA), mentioned in our previous study, could represent a new measurement method. The purpose of this study was to simulate T-shaped and Osstell(®) transducer-implant-bone system models; compare their vibration modes and corresponding resonance frequencies; and investigate the effects of their parameters, such as the effective implant length (EIL), bone quality, and osseointegration level, on the torsional resonance frequency (TRF) and bending resonance frequency (BRF) using three-dimensional finite element analysis...
February 7, 2017: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/28176265/deformation-of-facial-model-for-complete-denture-prosthesis-using-arap-group-method-and-elastic-properties
#11
Cheng Cheng, Xiaosheng Cheng, Ning Dai, Yuchun Sun, Xiaotong Jiang, Weiwei Li
With the development of 3D printing and computer graphics technology, mouth rehabilitation has increasingly adopted digital methods. This research proposes a new method to transform the appearance of facial model after complete denture prosthesis. A feature template with few feature points is first constructed according to the facial muscle anatomy and facial deformation after complete denture prosthesis. Next, the traditional as-rigid-as-possible (ARAP) method is optimised by clustering based on facial muscles...
February 7, 2017: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/28176264/the-integration-of-neural-information-by-a-passive-kinetic-stimulus-and-galvanic-vestibular-stimulation-in-the-lateral-vestibular-nucleus
#12
Gyutae Kim, Kyu-Sung Kim, Sangmin Lee
Despite an easy control and the direct effects on vestibular neurons, the clinical applications of galvanic vestibular stimulation (GVS) have been restricted because of its unclear activities as input. On the other hand, some critical conclusions have been made in the peripheral and the central processing of neural information by kinetic stimuli with different motion frequencies. Nevertheless, it is still elusive how the neural responses to simultaneous GVS and kinetic stimulus are modified during transmission and integration at the central vestibular area...
February 7, 2017: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/28161877/minimizing-the-blood-velocity-differences-between-phase-contrast-magnetic-resonance-imaging-and-computational-fluid-dynamics-simulation-in-cerebral-arteries-and-aneurysms
#13
Mohd Azrul Hisham Mohd Adib, Satoshi Ii, Yoshiyuki Watanabe, Shigeo Wada
The integration of phase-contrast magnetic resonance images (PC-MRI) and computational fluid dynamics (CFD) is a way to obtain detailed information of patient-specific hemodynamics. This study proposes a novel strategy for imposing a pressure condition on the outlet boundary (called the outlet pressure) in CFD to minimize velocity differences between the PC-MRI measurement and the CFD simulation, and to investigate the effects of outlet pressure on the numerical solution. The investigation involved ten patient-specific aneurysms reconstructed from a digital subtraction angiography image, specifically on aneurysms located at the bifurcation region...
February 4, 2017: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/28161876/a-spatial-frequency-temporal-optimized-feature-sparse-representation-based-classification-method-for-motor-imagery-eeg-pattern-recognition
#14
Minmin Miao, Aimin Wang, Feixiang Liu
Effective feature extraction and classification methods are of great importance for motor imagery (MI)-based brain-computer interface (BCI) systems. The common spatial pattern (CSP) algorithm is a widely used feature extraction method for MI-based BCIs. In this work, we propose a novel spatial-frequency-temporal optimized feature sparse representation-based classification method. Optimal channels are selected based on relative entropy criteria. Significant CSP features on frequency-temporal domains are selected automatically to generate a column vector for sparse representation-based classification (SRC)...
February 4, 2017: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/28161875/pseudo-real-time-low-pass-filter-in-ecg-self-adjustable-to-the-frequency-spectra-of-the-waves
#15
Ivaylo Christov, Tatyana Neycheva, Ramun Schmid, Todor Stoyanov, Roger Abächerli
The electrocardiogram (ECG) acquisition is often accompanied by high-frequency electromyographic (EMG) noise. The noise is difficult to be filtered, due to considerable overlapping of its frequency spectrum to the frequency spectrum of the ECG. Today, filters must conform to the new guidelines (2007) for low-pass filtering in ECG with cutoffs of 150 Hz for adolescents and adults, and to 250 Hz for children. We are suggesting a pseudo-real-time low-pass filter, self-adjustable to the frequency spectra of the ECG waves...
February 4, 2017: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/28160219/automatic-segmentation-of-left-ventricle-cavity-from-short-axis-cardiac-magnetic-resonance-images
#16
Xulei Yang, Qing Song, Yi Su
In this paper, a computational framework is proposed to perform a fully automatic segmentation of the left ventricle (LV) cavity from short-axis cardiac magnetic resonance (CMR) images. In the initial phase, the region of interest (ROI) is automatically identified on the first image frame of the CMR slices. This is done by partitioning the image into different regions using a standard fuzzy c-means (FCM) clustering algorithm where the LV region is identified according to its intensity, size and circularity in the image...
February 3, 2017: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/28160218/an-automatic-and-patient-specific-algorithm-to-design-the-optimal-insertion-direction-of-pedicle-screws-for-spine-surgery-templates
#17
Francesco Naddeo, Emilio Cataldo, Alessandro Naddeo, Nicola Cappetti, Nicola Narciso
Many diseases of the spine require surgical treatments that are currently performed based on the experience of the surgeon. For pedicle arthrodesis surgery, two critical factors must be addressed: Screws must be applied correctly and exposure to harmful radiation must be avoided. The incorrect positioning of the screws may cause operating failures that lead to subsequent reoperations, an increase in the overall duration of surgery and, therefore, more harmful, real-time X-ray checks. In this paper, the authors solve these problems by developing a method to realize a customized surgical template that acts as a drilling template...
February 3, 2017: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/28083733/smartphone-based-colorimetric-elisa-implementation-for-determination-of-women-s-reproductive-steroid-hormone-profiles
#18
Tejaswi Ogirala, Ashley Eapen, Katrina G Salvante, Tomas Rapaport, Pablo A Nepomnaschy, Ash M Parameswaran
Biologists frequently collect and analyze biospecimens in naturalistic (i.e., field) conditions to ascertain information regarding the physiological status of their study participants. Generally, field-collected biospecimens need to be stored frozen in the field and then transported frozen to laboratory facilities where traditional biomarker assays, such as enzyme-linked immunosorbent assays (ELISAs), are conducted. As proper storage and transport of frozen specimens is often logistically difficult and expensive, particularly in nonurban field settings, methods that reduce the need for specimen storage and transport would benefit field-research dependent disciplines such as biology, ecology and epidemiology...
January 12, 2017: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/28078482/irreversible-electroporation-as-treatment-of-locally-advanced-and-as-margin-accentuation-in-borderline-resectable-pancreatic-adenocarcinoma
#19
P Marsanic, A Mellano, A Sottile, M De Simone
In recent years, many local ablation technologies based on thermal damage have been used in the treatment of locally advanced pancreatic carcinoma (LAPC) and borderline resectable pancreatic carcinoma (BLRPC). However, they are associated with major complications because of possible vascular and ductal damage. Irreversible electroporation (IRE) is a nonthermal ablation technology that seems safe near vital vascular and ductal structures. IRE could be used as exclusive treatment of LAPC (en situ to IRE) after induction chemotherapy In BLRPC, surgery is not really radical in 6% of patients (microscopic residual) and local recurrences occur in 11-42% of apparent radical resections...
January 11, 2017: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/28054301/ranking-hand-movements-for-myoelectric-pattern-recognition-considering-forearm-muscle-structure
#20
Youngjin Na, Sangjoon J Kim, Sungho Jo, Jung Kim
Previous pattern recognition algorithms using surface electromyography (sEMG) have been developed for subsets of predefined hand movements without considering muscle structure. In order to decode hand movements, it is important to know which movements are appropriate for PR due to the different independence of movements between individuals and the high correlated characteristics of sEMG patterns between movements. This paper proposes a method to personally rank the order of hand movements from subsets (31 finger flexion, 31 finger extension, and 4 wrist movements in this paper)...
January 4, 2017: Medical & Biological Engineering & Computing
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