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IEEE Transactions on Bio-medical Engineering

Luis J Gomez, Abdulkadir C Yucel, Eric Michielssen
An internally combined volume surface integral equation (ICVSIE) for analyzing electromagnetic (EM) interactions with biological tissue and wide ranging diagnostic, therapeutic, and research applications, is proposed. METHOD: The ICVSIE is a system of integral equations in terms of volume and surface equivalent currents in biological tissue subject to fields produced by externally or internally positioned devices. The system is created by using equivalence principles and solved numerically; the resulting current values are used to evaluate scattered and total electric fields, specific absorption rates, and related quantities...
May 16, 2017: IEEE Transactions on Bio-medical Engineering
Guillaume Durandau, Dario Farina, Massimo Sartori
OBJECTIVE: Current clinical biomechanics involves lengthy data acquisition and time-consuming offline analyses and current biomechanical models cannot be used for real-time control in man-machine interfaces. We developed a method that enables online analysis of neuromusculoskeletal function in vivo in the intact human. METHODS: We used electromyography (EMG)-driven musculoskeletal modeling to simulate all transformations from muscle excitation onset (EMGs) to mechanical moment production around multiple lower-limb degrees of freedom (DOFs)...
May 12, 2017: IEEE Transactions on Bio-medical Engineering
Tomasz Moszkowski, Daniel Kauff, Celine Wegner, Roman Ruff, Karin Somerlik-Fuchs, Thilo Krueger, Piotr Augustyniak, Klaus-Peter Hoffmann, Werner Kneist
INTRODUCTION: Neurophysiologic monitoring can improve autonomic nerve sparing during critical phases of rectal cancer surgery. OBJECTIVES: To develop a system for extracorporeal stimulation of sacral nerve roots. METHODS: Dedicated software controlled a ten-electrode stimulation array by switching between different electrode configurations and current levels. A built-in impedance and current level measurement assessed the effectiveness of current injection...
May 12, 2017: IEEE Transactions on Bio-medical Engineering
Christopher Hasson
OBJECTIVE: Disease processes are often marked by both neural and muscular changes that alter movement control and execution, but these adaptations are difficult to tease apart because they occur simultaneously. This is addressed by swapping an individual's limb dynamics with a neurally-controlled facsimile using an interactive musculoskeletal simulator (IMS) that allows controlled modifications of musculoskeletal dynamics. This paper details the design and operation of the IMS, quantifies and describes human adaptation to the IMS, and determines whether the IMS allows users to move naturally, a prerequisite for manipulation experiments...
May 10, 2017: IEEE Transactions on Bio-medical Engineering
Dae Y Kang, Pamela N DeYoung, Atul Malhotra, Robert L Owens, Todd P Coleman
OBJECTIVE: Although the importance of sleep is increasingly recognized, the lack of robust and efficient algorithms hinders scalable sleep assessment in healthy persons and those with sleep disorders. Polysomnography (PSG) and visual/manual scoring remain the gold standard in sleep evaluation, but more efficient/automated systems are needed. Most previous works have demonstrated algorithms in high agreement with the gold standard in healthy/normal (HN) individuals - not those with sleep disorders...
May 8, 2017: IEEE Transactions on Bio-medical Engineering
Guanbo Chen, John Stang, Mark Haynes, Eric Leuthardt, Mahta Moghaddam
We report a method for real-time 3D monitoring of thermal therapy through the use of non-contact microwave imaging. This method is predicated on using microwaves to image changes in the dielectric properties of tissue with changing temperature. Instead of the precomputed linear Born approximation that was used in prior work to speed up the frameto- frame inversions, here we use the nonlinear Distorted Born Iterative Method (DBIM) to solve the electric volume integral equation to image the temperature change...
May 8, 2017: IEEE Transactions on Bio-medical Engineering
Shlomi Laufer, Carla Pugh, Barry D Van Veen
OBJECTIVE: The human haptic system uses a set of reproducible and subconscious hand maneuvers to identify objects. Similar subconscious maneuvers are used during medical palpation for screening and diagnosis. The goal of this work was to develop a mathematical model that can be used to describe medical palpation techniques. METHODS: Palpation data were measured using a two-dimensional array of force sensors. A novel algorithm for estimating the hand position from force data was developed...
May 5, 2017: IEEE Transactions on Bio-medical Engineering
Mei Zhou, Kai Jin, Shaoze Wang, Juan Ye, Dahong Qian
OBJECTIVE: Many common eye diseases and cardiovascular diseases can be diagnosed through retinal imaging. However, due to uneven illumination, image blurring, and low contrast, retinal images with poor quality are not useful for diagnosis, especially in automated image analyzing systems. Here we propose a new image enhancement method to improve color retinal image luminosity and contrast. METHODS: A luminance gain matrix, which is obtained by gamma correction of the value channel in the HSV (Hue, Saturation, and Value) color space, is used to enhance the R, G, and B (Red, Green and Blue) channels, respectively...
May 3, 2017: IEEE Transactions on Bio-medical Engineering
Hasan Mir, Hasan Al-Nashash, Jukka Kortelainen, Angelo All
OBJECTIVE: Previous work has shown that differences in the somatosensory evoked potential (SEP) signals between a normal spinal pathway and spinal pathway affected by spinal cord injury (SCI) provide a means to study the degree of injury. This paper proposes a novel quantitative SCI assessment method using time-domain SEP signals. METHODS: A pruned and unstructured fit between SEP signals from a normal spinal pathway and a spinal pathway affected by SCI is developed using methods inspired by recent results in sparse reconstruction theory...
May 2, 2017: IEEE Transactions on Bio-medical Engineering
Iryna Korshunova, Pieter-Jan Kindermans, Jonas Degrave, Thibault Verhoeven, Benjamin H Brinkmann, Joni Dambre
OBJECTIVE: Key issues in the epilepsy seizure prediction research are (1) the reproducibility of results (2) the inability to compare multiple approaches directly. To overcome these problems, the Seizure Prediction Challenge was organized on It aimed at establishing benchmarks on a dataset with predefined train, validation and test sets. Our main objective is to analyse the competition format, and to propose improvements, which would facilitate a better comparison of algorithms...
May 2, 2017: IEEE Transactions on Bio-medical Engineering
Abubakar Abid, Rebecca J Mieloszyk, George C Verghese, Baruch S Krauss, Thomas Heldt
OBJECTIVE: We use a single-alveolar-compartment model to describe the partial pressure of carbon dioxide in exhaled breath, as recorded in time-based capnography. Respiratory parameters are estimated using this model and then related to the clinical status of patients with obstructive lung disease. METHODS: Given appropriate assumptions, we derive an analytical solution of the model, describing the exhalation segment of the capnogram. This solution is parametrized by alveolar CO2 concentration, dead-space fraction, and the time constant associated with exhalation...
May 2, 2017: IEEE Transactions on Bio-medical Engineering
Chen Chen, Yi Han, Yan Chen, Hung-Quoc Lai, Feng Zhang, Beibei Wang, K J Ray Liu
In this paper, we introduce TR-BREATH, a timereversal (TR) based contact-free breathing monitoring system. It is capable of breathing detection and multi-person breathing rate estimation within a short period of time using off-the-shelf WiFi devices. The proposed system exploits the channel state information (CSI) to capture the miniature variations in the environment caused by breathing. To magnify the CSI variations, TRBREATH projects CSIs into the TR resonating strength (TRRS) feature space and analyzes the TRRS by the Root-MUSIC and affinity propagation algorithms...
April 28, 2017: IEEE Transactions on Bio-medical Engineering
Misa Nakao, Yuta Kurashina, Chikahiro Imashiro, Kenjiro Takemura
The presence of cell aggregates in cell suspensions may reduce cell culture efficiency because they can induce apoptosis and inhibit proliferation. To avoid this problem, this study proposes a novel method for collecting single cell suspensions from culture chambers for subculture using an ultrasonic pump driven by the squeeze film effect. First we developed a cell culture device consisting of a cell culture substrate with a piezoelectric ceramic disk glued to the back, so that we can elicit resonance vibration of the substrate...
April 28, 2017: IEEE Transactions on Bio-medical Engineering
Ahmed M Alaa, Jinsung Yoon, Scott Hu, Mihaela van der Schaar
In this paper, we develop a personalized real-time risk scoring algorithm that provides timely and granular assessments for the clinical acuity of ward patients based on their (temporal) lab tests and vital signs; the proposed risk scoring system ensures timely intensive care unit (ICU) admissions for clinically deteriorating patients. METHODS: The risk scoring system is based on the idea of sequential hypothesis testing under an uncertain time horizon. The system learns a set of latent patient subtypes from the offline electronic health record data, and trains a mixture of Gaussian Process (GP) experts, where each expert models the physiological data streams associated with a specific patient subtype...
April 27, 2017: IEEE Transactions on Bio-medical Engineering
Zhijie He, Hongyang Lu, Xiaojiao Yang, Li Zhang, Yi Wu, Wenxiu Niu, Li Ding, Guili Wang, Shanbao Tong, Jie Jia
Exercise preconditioning induces neuroprotective effects during cerebral ischemia and reperfusion, which involves the recovery of cerebral blood flow (CBF). Mechanisms underly-ing the neuroprotective effects of re-established CBF following ischemia and reperfusion are unclear. The present study investi-gated CBF in hyper-early stage of reperfusion by laser speckle contrast imaging, a full-field high-resolution optical imaging technique. Rats with or without treadmill training were subjected to middle cerebral artery occlusion followed by reperfusion...
April 27, 2017: IEEE Transactions on Bio-medical Engineering
Taghreed MohammadRidha, Mourad Ait-Ahmed, Lucy Chaillous, Michel Krempf, Isabelle Guilhem, Jean-Yves Poirier, Claude H Moog
The objective is to design a fully automated glycemia regulation of Type-1 Diabetes (T1D) in both fasting and postprandial phases on a large number of virtual patients.
April 25, 2017: IEEE Transactions on Bio-medical Engineering
Sri Harsha Kondapalli, Yarub Alazzawi, Marcin Malinowski, Tomasz Timek, Shantanu Chakrabartty
OBJECTIVE: In this paper we investigate the use of commercial off-the-shelf (COTS) diagnostic ultrasound readers to achieve multi-access wireless in-vivo telemetry with millimetersized sonomicrometry crystal transducers. METHODS: The sonomicrometry crystals generate ultrasonic pulses that supersede the echoes generated at the tissue interfaces in response to Mscan interrogation pulses. The traces of these synthetic pulses are captured on an M-scan image and the transmitted data is decoded using image deconvolution and de-blurring algorithms...
April 25, 2017: IEEE Transactions on Bio-medical Engineering
Ping Lu, Livia Barazzetti, Vimal Chandran, Kate Gavaghan, Stefan Weber, Nicolas Gerber, Mauricio Reyes
Facial nerve segmentation is of considerable importance for pre-operative planning of cochlear implantation. However, it is strongly influenced by the relatively low resolution of the cone-beam computed tomography (CBCT) images used in clinical practice. In this paper, we propose a super-resolution classification method, which refines a given initial segmentation of the facial nerve to a sub-voxel classification level from CBCT/CT images. The super-resolution classification method learns the mapping from low-resolution CBCT/CT images to high-resolution facial nerve label images, obtained from manual segmentation on micro-CT images...
April 25, 2017: IEEE Transactions on Bio-medical Engineering
Yuya Fujita, Masayuki Hiromoto, Takashi Sato
The photoplethysmographic (PPG) signal is an important source of information for estimating heart rate (HR). However, the PPG signal could be strongly contaminated by the motion artifact (MA) of the subjects, making HR estimation a particularly difficult problem. In this paper, we propose PARHELIA, a PARticle filter-based algorithm for HEart rate estimation using photopLethysmographIc signAls. The proposed method employs a particle filter, and utilizes the simultaneously recorded acceleration signals from a wrist-type sensor, to keep track of multiple HR candidates...
April 25, 2017: IEEE Transactions on Bio-medical Engineering
Dan Stoianovici, Changhan Jun, Sunghwan Lim, Pan Li, Doru Petrisor, Stanley Fricke, Karun Sharma, Kevin Cleary
We report the development of a new robotic system for direct image-guided interventions, DIGI (images acquired at the time of the intervention). The manipulator uses our previously reported Pneumatic Step Motors and is entirely made of electrically nonconductive, nonmetallic, and nonmagnetic materials. It orients a needle-guide with 2 degrees of freedom (DoF) about a fulcrum point located below the guide using an innovative Remote Center of Motion (RCM) parallelogram type mechanism. The depth of manual needle insertion is preset with a 3rd DoF, located remotely of the manipulator...
April 25, 2017: IEEE Transactions on Bio-medical Engineering
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