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IEEE Transactions on Bio-medical Engineering

Ben Ewell Urban, Lei Xiao, Siyu Chen, Huili Yang, Biqin Dong, Yevgenia Kozorovitskiy, Hao F Zhang
OBJECTIVE: this study proposes and evaluates a technique for in vivo deep-tissue superresolution imaging in the light-scattering mouse brain at up to a 3.5 Hz 2-D imaging rate with a 21×21 μm2 field of view. METHODS: we combine the deep-tissue penetration and high imaging speed of resonant laser scanning two-photon (2P) microscopy with the superresolution ability of patterned excitation microscopy. Using high-frequency intensity modulation of the scanned two-photon excitation beam, we generate patterned illumination at the imaging plane...
January 2018: IEEE Transactions on Bio-medical Engineering
Mohamed Manoufali, Konstanty Bialkowski, Beadaa Jasem Mohammed, Paul C Mills, Amin Abbosh
OBJECTIVE: Near-field inductive-coupling link can establish a reliable power source to a batteryless implantable medical device based on Faraday's law of induction. METHODS: In this paper, the design, modeling, and experimental verification of an inductive-coupling link between an off-body loop antenna and a 0.9  three-dimensional (3-D) bowtie brain implantable antenna is presented. To ensure reliability of the design, the implantable antenna is embedded in the cerebral spinal fluid of a realistic human head model...
January 2018: IEEE Transactions on Bio-medical Engineering
Jiaen Liu, Yicun Wang, Ulrich Katscher, Bin He
OBJECTIVE: The purpose is to provide a comprehensive review of the electrical properties tomography (EPT) technique, which was introduced to image the electrical properties (EPs) of tissue noninvasively by exploiting the measured field data of MRI. METHODS: We reviewed the principle of EPT, reconstruction methods, biomedical applications such as tumor imaging, and existing challenges. As a key application of EPT, the estimation of specific absorption rate (SAR) due to MRI was discussed in the background of elevated risk of tissue heating at high field...
November 2017: IEEE Transactions on Bio-medical Engineering
Nordine Sebkhi, Dhyey Desai, Mohammad Islam, Jun Lu, Kimberly Wilson, Maysam Ghovanloo
Speech-language pathologists (SLPs) are trained to correct articulation of people diagnosed with motor speech disorders by analyzing articulators' motion and assessing speech outcome while patients speak. To assist SLPs in this task, we are presenting the multimodal speech capture system (MSCS) that records and displays kinematics of key speech articulators, the tongue and lips, along with voice, using unobtrusive methods. Collected speech modalities, tongue motion, lips gestures, and voice are visualized not only in real-time to provide patients with instant feedback but also offline to allow SLPs to perform post-analysis of articulators' motion, particularly the tongue, with its prominent but hardly visible role in articulation...
November 2017: IEEE Transactions on Bio-medical Engineering
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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