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IEEE Transactions on Bio-medical Engineering

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https://www.readbyqxmd.com/read/29053446/simulation-of-constrained-musculoskeletal-systems-in-task-space
#1
Dimitar Stanev, Konstantinos Moustakas
OBJECTIVE: This work proposes an operational task space formalization of constrained musculoskeletal systems, motivated by its promising results in the field of robotics. METHODS: The change of representation requires different algorithms for solving the inverse and forward dynamics simulation in the task space domain. We propose an extension to the Direct Marker Control and an adaptation of the Computed Muscle Control algorithms for solving the inverse kinematics and muscle redundancy problems respectively...
October 18, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/29053451/spatially-resolved-mr-compatible-doppler-ultrasound-proof-of-concept-for-triggering-of-diagnostic-quality-cardiovascular-mri-for-function-and-flow-quantification-at-3t
#2
Lindsey A Crowe, Gibran Manasseh, Aneta Chmielewski, Anne-Lise Hachulla, Daniel Speicher, Andreas Greiser, Hajo Muller, Thomas De Perrot, Jean-Paul Vallee, Rares Salomir
OBJECTIVES: We demonstrate the use of a Magnetic-Resonance (MR)-compatible ultrasound (US) imaging probe using spatially-resolved Doppler for diagnostic quality cardiovascular MR imaging as an initial step towards hybrid US/MR fetal imaging. METHODS: A newly developed technology for a dedicated MR-compatible phased array ultrasound-imaging probe acquired pulsed color Doppler carotid images, which were converted in near-real time to a trigger signal for cardiac cine and flow quantification MRI...
October 17, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/29035208/an-efficient-integral-based-method-for-three-dimensional-mr-ept-and-the-calculation-of-the-rf-coil-induced-field
#3
Lei Guo, Jin Jin, Chunyi Liu, Feng Liu, Stuart Crozier
Magnetic resonance electrical property tomography (MR-EPT) has significant potential for the estimation of the electrical properties (EPs) of tissue, which are essential for the calculation of specific absorption rates (SAR), a critical safety factor requiring monitoring and controlling in applications of ultra-high field magnetic resonance imaging (MRI). In this paper, a novel, efficient method based on integral equations is proposed for the calculation of the EPs and the RF-coil induced field. An inverse problem framework is first constructed to include the forward problem operator, while the EPs are reconstructed by using a non-linear conjugate gradient method (NLCG)...
October 16, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/29035207/novel-quantitative-analytical-approaches-for-rotor-identification-and-associated-implications-for-mapping
#4
Elizabeth M Annoni, Shivaram Poigai Arunachalam, Suraj Kapa, Siva K Mulpuru, Paul A Friedman, Elena G Talkachova
OBJECTIVE: Clinical studies identifying rotors confirming these sites for ablation in treating cardiac arrhythmias have had inconsistent results with the current analysis techniques available. The aim of this study is to evaluate four new signal analysis approaches - multiscale frequency (MSF), Shannon entropy (SE), Kurtosis (Kt), and multiscale entropy (MSE) - in their ability to identify the pivot point of rotors. METHODS: Optical mapping movies of ventricular tachycardia were used to evaluate the performance and robustness of SE, Kt, MSF and MSE techniques with respect to several clinical limitations: decreased time duration, reduced spatial resolution, and the presence of meandering rotors...
October 16, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/29053443/enhancement-of-intercellular-electrical-synchronization-by-conductive-materials-in-cardiac-tissue-engineering
#5
Yu Wu, Liang Guo
OBJECTIVE: cardiac tissue regeneration for the treatment of cardiovascular diseases has been of great research interest. Under the hypothesis that electrical synchronization of cardiac cells can be aided by conductive materials, electrically conductive scaffolds have been frequently used to improve cardiac tissue regeneration. However, theoretical analysis is presently absent in examining the underlying mechanism and rationally guiding the design of these conductive scaffolds. METHODS: here, equivalent-circuit models are proposed, in which two adjacent groups of cardiomyocytes are grown either on a bulk conductive substrate or around conductive nanostructures...
October 15, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/29035206/parametric-dependencies-of-sliding-window-correlation
#6
Sadia Shakil, Jacob C Billings, Shella D Keilholz, Chin-Hui Lee
OBJECTIVE: In this paper we explore the dependence of sliding window correlation (SWC) results on different parameters of correlating signals. The SWC is extensively used to explore the dynamics of functional connectivity (FC) networks using resting-state functional MRI (rsfMRI) scans. These scanned signals are often non-stationary and comprised of signals with multiple amplitudes, frequencies, and phases. However, the exact values of these parameters are unknown. Two recent studies explored the relationship of window length and frequencies (minimum/maximum) in the correlating signals...
October 13, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/29035205/multi-views-fusion-cnn-for-left-ventricular-volumes-estimation-on-cardiac-mr-images
#7
Gongning Luo, Suyu Dong, Kuanquan Wang, Wangmeng Zuo, Shaodong Cao, Henggui Zhang
OBJECTIVE: Left ventricular (LV) volumes estimation is a critical procedure for cardiac disease diagnosis. The objective of this paper is to address direct LV volumes prediction task. METHODS: In this paper, we propose a direct volumes prediction method based on the end-to-end deep convolutional neural networks (CNN). We study the end-to-end LV volumes prediction method in items of the data preprocessing, networks structure, and multi-views fusion strategy. The main contributions of this paper are the following aspects...
October 13, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/29035204/four-novel-motion-paradigms-based-on-steady-state-motion-visual-evoked-potential
#8
Wenqiang Yan, Guanghua Xu, Jun Xie, Min Li, Ziyan Dan
OBJECTIVE: The purpose of this work was to study the applicability of paradigms with motion forms for use in a brain-computer interface (BCI). We examined the performances of different paradigms and evaluated the stimulus effects. METHODS: We designed four novel stimulus paradigms based on basic motion modes: swing, rotation, spiral, and radial contraction-expansion. Canonical correlation analysis (CCA) was used to analyze the accuracy. Additionally, we optimized CCA template signal harmonic combinations for the different motion paradigms...
October 13, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/29035203/developing-a-nonstationary-computational-framework-with-application-to-modeling-dynamic-modulations-in-neural-spiking-responses
#9
Amir Akbarian, Kaiser Niknam, Mohammadbagher Parsa, Kelsey Clark, Behrad Noudoost, Neda Nategh
OBJECTIVE: This paper aims to develop a computational model that incorporates the functional effects of modulatory covariates (such as context, task, or behavior), which dynamically alter the relationship between the stimulus and the neural response. METHODS: We develop a general computational approach along with an efficient estimation procedure in the widely used generalized linear model (GLM) framework to characterize such nonstationary dynamics in spiking response and spatiotemporal characteristics of a neuron at the level of individual trials...
October 13, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/29028186/decoding-covert-somatosensory-attention-by-a-bci-system-calibrated-with-tactile-sensation
#10
Lin Yao, Xinjun Sheng, Natalie Mrachacz-Kersting, Xiangyang Zhu, Dario Farina, Ning Jiang
OBJECTIVE: We propose a novel calibration strategy to facilitate the decoding of covert somatosensory attention by exploring the oscillatory dynamics induced by tactile sensation. METHODS: It was hypothesized that the similarity of the oscillatory pattern between stimulation sensation (SS, real sensation) and somatosensory attentional orientation (SAO) provides a way to decode covert somatic attention. Subjects were instructed to sense the tactile stimulation, which was applied to the left (SS-L) or the right (SS-R) wrist...
October 12, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/29028185/time-varying-time-frequency-complexity-measures-for-epileptic-eeg-data-analysis
#11
Marcelo A Colominas, Mohamad El Sayed Hussein Jomaa, Nisrine Jrad, Anne Humeau-Heurtier, Patrick Van Bogaert
OBJECTIVE: Our goal is to use existing and to propose new time-frequency entropy measures that objectively evaluate the improvement on epileptic patients after medication by studying their resting state EEG recordings. An increase in the complexity of the signals would confirm an improvement in the general state of the patient. METHODS: We review the Rényi entropy based on time-frequency representations, along with its time-varying version. We also discuss the entropy based on singular value decomposition computed from a time-frequency representation, and introduce its corresponding time-dependant version...
October 11, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28991732/feasibility-of-a-biomechanically-assistive-garment-to-reduce-low-back-loading-during-leaning-and-lifting
#12
Erik P Lamers, Aaron J Yang, Karl E Zelik
GOAL: The purpose of this study was: (i) to design and fabricate a biomechanically-assistive garment which was sufficiently lightweight and low-profile to be worn underneath, or as, clothing, and then (ii) to perform human subject testing to assess the ability of the garment to offload the low back muscles during leaning and lifting. METHODS: We designed a prototype garment which acts in parallel with the low back extensor muscles to reduce forces borne by the lumbar musculature...
October 9, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28991727/a-time-varying-non-parametric-methodology-for-assessing-changes-in-qt-variability-unrelated-to-heart-rate-variability
#13
Michele Orini, Esther Pueyo, Pablo Laguna, Raquel Bailon
OBJECTIVE: To propose and test a novel methodology to measure changes in QT interval variability (QTV) unrelated to RR interval variability (RRV) in non-stationary conditions. METHODS: Time-frequency coherent and residual spectra representing QTV related (QTVrRRV) and unrelated (QTVuRRV) to RRV, respectively, are estimated using time-frequency Cohen's class distributions. The proposed approach decomposes the non-stationary output spectrum of any two-input one-output model with uncorrelated inputs into two spectra representing the information related and unrelated to one of the two inputs, respectively...
October 6, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28991731/automatic-temporal-segmentation-of-vessels-of-the-brain-using-4d-asl-mra-images
#14
Renzo Phellan, Thomas Lindner, Michael Helle, Alexandre Falcao, Nils Daniel Forkert
OBJECTIVE: Automatic vessel segmentation can be used to process the considerable amount of data generated by four dimensional arterial spin labeling magnetic resonance angiography (4D ASL MRA) images. Previous segmentation approaches for dynamic series of images propose either reducing the series to a temporal average (tAIP) or maximum intensity projection (tMIP) prior to vessel segmentation, or a separate segmentation of each image. The present paper introduces a method that combines both approaches to overcome the specific drawbacks of each technique...
October 5, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28991730/closed-loop-vagus-nerve-stimulation-based-on-state-transition-models
#15
Hector Manuel Romero Ugalde, Virginie Le Rolle, Jean-Luc Bonnet, Christine Henry, Philippe Mabo, Guy Carrault, Alfredo I Hernandez
OBJECTIVE: Vagus nerve stimulation (VNS) is a potential therapeutic approach in a number of clinical applications. Although VNS is commonly delivered in an open-loop approach, it is now recognized that closed-loop stimulation may be necessary to optimize the therapy. In this paper, we propose an original, generic closed-loop control system which can be readily integrated into an implantable device and allows for the adaptive modulation of multiple VNS parameters. METHODS: The proposed control method consists of a state transition model (STM), in which each state represents a set of VNS parameters, and a state transition algorithm that optimally selects the best STM state, minimizing the error between an observed physiological variable and a given target value...
October 5, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28991729/automatic-identification-of-human-blastocyst-components-via-texture
#16
Parvaneh Saeedi, Dianna Yee, Jason Au, Jon Havelock
Choosing the most viable embryo during human In-Vitro Fertilization (IVF) is a prime factor in maximizing pregnancy rate. Embryologists visually inspect morphological structures of blastocysts under microscopes to gauge their health. Such grading introduces subjectivity amongst embryologists and adds to the difficulty of quality control during IVF. In this paper, we introduce an algorithm for automatic segmentation of two main components of human blastocysts named: Trophectoderm (TE) and Inner Cell Mass (ICM)...
October 5, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28991728/screening-for-cognitive-impairment-by-model-assisted-cerebral-blood-flow-estimation
#17
Toni Lassila, Luigi Yuri Di Marco, Micaela Mitolo, Vincenzo Iaia, Giorgio Levedianos, Annalena Venneri, Alejandro F Frangi
OBJECTIVE: Alzheimer's disease (AD) is a progressive and debilitating neurodegenerative disease; a major health concern in the ageing population with an estimated prevalence of 46 million dementia cases worldwide. Early diagnosis is therefore crucial so mitigating treatments can be initiated at an early stage. Cerebral hypoperfusion has been linked with blood-brain barrier dysfunction in the early stages of AD, and screening for chronic cerebral hypoperfusion in individuals has been proposed for improving the early diagnosis of AD...
October 5, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28981405/curved-array-based-multispectral-photoacoustic-imaging-of-human-finger-joints
#18
Na Huang, Ming He, Haosheng Shi, Yuan Zhao, Man Lu, Xianbing Zou, Lei Yao, Huabei Jiang, Lei Xi
OBJECTIVE: In this study, we present the design, fabrication, and evaluation of a curved-array-based photoacoustic imaging system designed for imaging vasculatures inside human finger joints with multispectral strategy. METHODS: The transducers was fabricated with polyvinylidene fluoride (PVDF) film with a size of 30 mm×2.8 mm, and a curvature radius of 82 mm. A detailed comparison between the PVDF transducer and commercial piezoelectric ceramic (PTZ) transducers was performed...
October 2, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28976309/simple-transparent-and-flexible-automated-quality-assessment-procedures-for-ambulatory-electrodermal-activity-data
#19
Ian R Kleckner, Rebecca M Jones, Oliver Wilder-Smith, Jolie B Wormwood, Murat Akcakaya, Karen S Quigley, Catherine Lord, Matthew S Goodwin
OBJECTIVE: Electrodermal activity (EDA) is a non-invasive measure of sympathetic activation often used to study emotions, decision-making, and health. The use of "ambulatory" EDA in everyday life presents novel challenges-frequent artifacts and long recordings-with inconsistent methods available for efficiently and accurately assessing data quality. We developed and validated a simple, transparent, flexible, and automated quality assessment procedure for ambulatory EDA data. METHODS: Twenty individuals with autism (5 females, 5-13 years) provided a combined 181 hours of EDA data in their home using the Affectiva Q Sensor across 8 weeks...
October 2, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28976308/a-procedure-for-the-automatic-analysis-of-high-resolution-manometry-data-to-support-the-clinical-diagnosis-of-esophageal-motility-disorders
#20
Alessandro Frigo, Mario Costantini, Chiara Giulia Fontanella, Stefano Merigliano, Emanuele Luigi Carniel
OBJECTIVE: Degenerative phenomena may affect esophageal motility as a relevant social-health problem. The diagnosis of such disorders is usually performed by the analysis of data from high resolution manometry (HRM). Inter- and intra-observer variability frequently affects the diagnosis, with potential interpretative and thus therapeutic errors, with unnecessary or worse treatments. This may be avoided with automatic procedures that minimize human intervention in data processing. METHODS: In order to support the traditional diagnostic process, an automatic procedure was defined considering a specific physio-mechanical model that is able to objectively interpret data from HRM...
October 2, 2017: IEEE Transactions on Bio-medical Engineering
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