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IEEE Transactions on Bio-medical Engineering

Megan Schmidt, Mark A Benscoter, Paul Anthony Iaizzo
OBJECTIVE: The ability to monitor catheter contact force (CF) plays a major role in assessing radiofrequency ablation, impacting lesion size and arrhythmia recurrence, and dictating ablation duration and/or overall patient safety. Our study sought to determine the relative CFs required to elicit reproducible monophasic action potential (MAP) recordings. METHODS: The study utilized 4 swine in which: 1) median sternotomies were performed and MAPs were collected from 7 ventricular locations on the epicardial surface of each heart, and 2) a subset of endocardial signals was recorded from a reanimated heart...
February 14, 2019: IEEE Transactions on Bio-medical Engineering
Wentao Wei, Qingfeng Dai, Yongkang Wong, Yu Hu, Mohan Kankanhalli, Weidong Geng
Gesture recognition using sparse multichannel Surface Electromyography (sEMG) is a challenging problem, and the solutions are far from optimal from the point of view of Muscle-Computer Interface (MCI). In this work, we address this problem from the context of multi-view deep learning. A novel multi-view Convolutional Neural Network (CNN) framework is proposed by combining classical sEMG feature sets with a CNN-based deep learning model. The framework consists of two parts. In the first part, multi-view representations of sEMG are modeled in parallel by a multistream CNN, and a performance-based view construction strategy is proposed to choose the most discriminative views from classical feature sets for sEMG-based gesture recognition...
February 13, 2019: IEEE Transactions on Bio-medical Engineering
Nuri Murat Arar, Pushpak Pati, Aditya Kashyap, Anna Fomitcheva Khartchenko, Orcun Goksel, Govind V Kaigala, Maria Gabrani
Accurate profiling of tumors using immunohistochemistry (IHC) is essential in cancer diagnosis. The inferences drawn from IHC-stained images depend to a great extent on the quality of immunostaining, which is in turn affected strongly by assay parameters. To optimize assay parameters, the available tissue sample is often limited. Moreover, with current practices in pathology, exploring the entire assay parameter space is not feasible. Thus, the evaluation of IHC stained slides is conventionally a subjective task, in which diagnoses are commonly drawn on images that are suboptimal...
February 13, 2019: IEEE Transactions on Bio-medical Engineering
Pinyi Wang, Dingxin Wang, Jialu Zhang, Ruiliang Bai, Meizhen Qian, Yi Sun, Yi Lu, Xiaotong Zhang
OBJECTIVE: The purpose of the present study was to achieve submillimeter-level diffusion tensor imaging (DTI) of the macaque brain by using diffusion weighted (DW) readout-segmented echo planar imaging (rsEPI) with an optimized protocol at 7T MRI. METHODS: Three anesthetized macaques were included in this study. Under different scan settings, we compared signal-to-noise ratio (SNR) and geometric distortion of DW images, implemented an optimized protocol for submillimeter-level DTI acquisition, and evaluated its performance...
February 13, 2019: IEEE Transactions on Bio-medical Engineering
Norikazu Sato, Jiafeng Yao, Daisuke Kawashima, Masahiro Takei
Enhancement of positive dielectrophoresis (pDEP) particle trapping by a co-occurring fluid flow under an AC electric field in an electrode-multilayered microfluidic device is investigated by three-dimensional particle-fluid flow simulations. The particle motion near one cross-section of the microfluidic device is simulated under a zero flow condition by the Eulerian- Lagrangian method incorporating the AC electrothermal effect, thermal buoyancy and dielectrophoresis. The mean trapping rate under the steady state Rm is evaluated from the simulated number of trapped particles Nt rap for 54 cases with four parameters: electrode excitation pattern, medium conductivity σ, applied voltage ϕe and the real part of the Clausius-Mossotti factor Re[K( ω)]...
February 12, 2019: IEEE Transactions on Bio-medical Engineering
Su Yang, Jose Miguel Sanchez Bornot, KongFatt Wong-Lin, Girijesh Prasad
This work reviews the state-of-the-art neuromarkers development for the prognosis of Alzheimer's diseases (AD) and mild cognitive impairment (MCI). The first part of this study is devoted to reviewing the recently-emerged machine learning (ML) algorithms based on electroencephalography (EEG) and magnetoencephalography (MEG) modalities. In particular, the methods are categorized by different types of neuromarkers. The second part of the review is dedicated to a series of investigations that further highlight the differences between these two modalities...
February 12, 2019: IEEE Transactions on Bio-medical Engineering
Klaske van Heusden, Kristian Soltesz, Erin Cooke, Sonia Brodie, Nicholas West, Matthias Gorges, J Mark Ansermino, Guy Dumont
OBJECTIVE: The goal of this study was to optimize robust PID control for propofol anesthesia in children aged 5-10 years to improve performance, particularly to decrease the time of induction of anesthesia while maintaining robustness. METHODS: We analyzed results of a previous study conducted by our group to identify opportunities for system improvement. Allometric scaling was introduced to reduce the interpatient variability and a new robust PID controller was designed using an optimization based method...
February 8, 2019: IEEE Transactions on Bio-medical Engineering
Giovanna Guidoboni, Lorenzo Sala, Moein Enayati, Riccardo Sacco, Marcela Szopos, James M Keller, Mihail Popescu, Laurel Despins, Virginia Huxley, Marjorie Skubic
OBJECTIVE: to develop quantitative methods for the clinical interpretation of the ballistocardiogram (BCG). METHODS: a closed-loop mathematical model of the cardiovascular system is proposed to theoretically simulate the mechanisms generating the BCG signal, which is then compared with the signal acquired via accelerometry on a suspended bed. RESULTS: simulated arterial pressure waveforms and ventricular functions are in good qualitative and quantitative agreement with those reported in the clinical literature...
February 6, 2019: IEEE Transactions on Bio-medical Engineering
Seyed Hadi Nasrollaholhosseini, Jason Mercier, Godi Fischer, Walter Besio
Electrodes are used to convert ionic currents to electrical currents in biological systems. Modeling the electrode electrolyte interface and characterizing the impedance of the interface could help to optimize the performance of the electrode interface to achieve higher signal to noise ratios. Previous work has yielded accurate models for single-element biomedical electrodes. This paper introduces a model for a tripolar concentric ring electrode (TCRE) derived from impedance measurements using electrochemical impedance spectroscopy (EIS) with a Ten20 electrode impedance matching paste...
February 6, 2019: IEEE Transactions on Bio-medical Engineering
Roberto Visentin, Michele Schiavon, Clemens Giegerich, Thomas Klabunde, Chiara Dalla Man, Claudio Cobelli
OBJECTIVE: Glargine 100U/mL (Gla-100) and 300U/mL (Gla-300) are long-acting insulin analogs providing basal insulin supply in multiple daily injection (MDI) therapy of type 1 diabetes (T1D). Both insulins require extensive testing to arrive at the optimal dosing regimen, e.g. timing and amount. Here we aim at a simulation tool for evaluating benefits/risks of different dosing schemes and up-titration rules for both Gla-100 and Gla-300 before clinical testing. METHODS: A new pharmacokinetic (PK) model of both Gla-100 and Gla-300 was incorporated into the FDA-accepted UVA/Padova T1D simulator: specifically, a joint parameter distribution, built from PK parameter estimates, was used to generate individual PK parametrizations for each in silico subject...
February 6, 2019: IEEE Transactions on Bio-medical Engineering
Davide Di Giuseppe, Francesca Corsi, Dr Arianna Mencattini, Maria Colomba Comes, Paola Casti, Corrado Di Natale, Lina Ghibelli, Eugenio Martinelli
OBJECTIVE: The ability of cells to collectively move is essential in various biological contexts including cancer metastasis. In this work, we propose an automatic video analysis tool to correlate cell movement inhibition with replication block induced by dose-dependent chemotherapy administration. The novel approach combines individual and collective cell kinematic analysis performed over time-lapse microscopy video frames. Cells are first localized and tracked, and then kinematic descriptors are extracted for each track...
February 6, 2019: IEEE Transactions on Bio-medical Engineering
PeiYang Li, Huan Liu, Yajing Si, Cunbo Li, Fali Li, Xuyang Zhu, Xiaoye Huang, Ying Zeng, Dezhong Yao, Yangsong Zhang, Peng Xu
OBJECTIVE: Spectral power analysis plays a predominant role in electroencephalogram (EEG) based emotional recognition. It can reflect activity differences among multiple brain regions. In addition to activation difference, different emotions also involve different large-scale network during related information processing. In this work, both information propagation patterns and activation difference in the brain were fused to improve the performance of emotional recognition. METHODS: We constructed emotion-related brain networks with phase locking value (PLV) and adopted a multiple feature fusion approach to combine the compensative activation and connection information for emotion recognition...
February 5, 2019: IEEE Transactions on Bio-medical Engineering
Saeed Alighaleh, Leo K Cheng, Timothy R Angeli, Mina Amiri, Shameer Sathar, Gregory O'Grady, Niranchan Paskaranandavadivel
OBJECTIVE: The use of electroceuticals in the gastrointestinal field continues to advance, however, the efficacy and effectiveness of clinical gastric stimulation and pacing remains limited. In the stomach, rhythmic bioelectrical events known as slow waves coordinates the muscular contractions that aid digestion. A range of slow wave abnormalities have been shown to be associated with functional motility disorders, such as gastroparesis, chronic unexplained nausea and vomiting, and functional dyspepsia...
February 5, 2019: IEEE Transactions on Bio-medical Engineering
Caio Cesar Medeiros Davi, Andre Pastor, Thiego Oliveira, Fernando Buarque Lima Neto, Ulisses Braga-Neto, Abigail Bigham, Michael Bamshad, Ernesto T A Marques, Bartolomeu Acioli-Santos
Dengue has become one of the most important worldwide arthropod-borne diseases. Dengue phenotypes are based on laboratorial and clinical exams, which are known to be inaccurate. OBJECTIVE: We present a machine learning approach for the prediction of dengue fever severity based solely on human genome data. METHODS: One hundred and two Brazilian dengue patients and controls were genotyped for 322 innate immunity Single Nucleotide Polymorphisms (SNPs). Our model uses a Support Vector Machine (SVM) algorithm to find the optimal loci classification subset, and then an Artificial Neural Network (ANN) is used to classify patients into dengue fever (DF) or severe dengue (SD)...
February 4, 2019: IEEE Transactions on Bio-medical Engineering
Felicia Wurtenberger, Tobias Haist, Carsten Reichert, Andreas Faulhaber, Tobias Bottcher, Alois Herkommer
OBJECTIVE: The purpose of this contribution is to determine the ideal near infrared wavelength bands for monochromatic and dual-band remote heartbeat detection using imaging photoplethysmography of the forehead. METHODS: Experimental data of 38 healthy volunteers has been recorded and analyzed. For the data acquisition a fast hyperspectral imager has been used. A new combination approach has been implemented which computes the quotient of the bands and therefore reduces motion artifacts...
February 4, 2019: IEEE Transactions on Bio-medical Engineering
Georgiy Solomakha, Anna Andreychenko, Alexander Raaijmakers, Pierre-Francois van de Moortele, C A T van den Berg
OBJECTIVE: To describe a novel radio-frequency (RF) concept for ultra-high field (UHF) human magnetic resonance imaging (MRI) based on a coaxial cavity. METHODS: A two-channel slotted coaxial cavity RF applicator was designed for human head MRI at 9.4T. Physical dimensions made the proposed conducting structure resonant at the required frequency and tuning lumped elements were no longer needed. Numerical modelling was used to optimize the design. RF safety was assessed with two representative human body models...
February 1, 2019: IEEE Transactions on Bio-medical Engineering
Feng Shi, Qi Yang, Xiuhai Guo, Touseef Qureshi, Zixiao Tian, Huijuan Miao, Damini Dey, Debiao Li, Zhaoyang Fan
OBJECTIVE: To develop an automated vessel wall segmentation method using convolutional neural networks (CNN) to facilitate the quantification on magnetic resonance (MR) vessel wall images of patients with intracranial atherosclerotic disease (ICAD). METHODS: Vessel wall images of 56 subjects were acquired with our recently developed whole-brain 3D MR vessel wall imaging (VWI) technique. An intracranial vessel analysis (IVA) framework was presented to extract, straighten, and resample the interested vessel segment into 2D slices...
February 1, 2019: IEEE Transactions on Bio-medical Engineering
Stefania Coelli, Eleonora Maggioni, Annalisa Rubino, Chiara Campana, Lino Nobili, Anna Maria Bianchi
OBJECTIVE: A multiscale functional clustering approach is proposed to investigate the organization of the epileptic networks (EN) during different sleep stages and in relation with the occurrence of seizures. METHOD: Stereo-electroencephalographic signals from seven pharmaco-resistant epileptic patients (FCD type II) were analyzed. The discrete wavelet transform provided a multiscale framework on which a data-driven functional clustering procedure was applied, based on multivariate measures of integration and mutual information...
February 1, 2019: IEEE Transactions on Bio-medical Engineering
Yonathan Morin, Andrea Goldsmith, Behnaam Aazhang
OBJECTIVE: This paper presents a data-driven method for estimating the memory order of a recorded Electrocorticography (ECoG) sequence. METHODS: The proposed inference method is based on the relationship between the loss in predicting the next sample in a time-series, and the dependence of this sample on the previous samples. Specifically, the memory order is estimated to be the number of past samples that minimizes the least squares error (LSE) in predicting the next sample...
January 30, 2019: IEEE Transactions on Bio-medical Engineering
Brian Y Change, Steven P Keller, Elazer R Edelman
OBJECTIVE: Limitations in available diagnostic metrics restrict the efficacy of managing therapies for cardiogenic shock. In current clinical practice, cardiovascular state is inferred through measurement of pulmonary capillary wedge pressure and reliance on linear approximations between pressure and flow to estimate peripheral vascular resistance. Mechanical circulatory support devices residing within the left ventricle and aorta provide an opportunity for both determining cardiac and vascular state and offering therapeutic benefit...
January 28, 2019: IEEE Transactions on Bio-medical Engineering
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