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IEEE Transactions on Bio-medical Engineering

Sergio Jol Portoles Diez, Gianni Borghesan, Luc Joyeaux, Christel Meuleman, Jan Deprest, Danail Stoyanov, Sebastien Ourselin, Tom Vercauteren, Dominiek Reynaerts, Emmanuel Vander Poorten
Robotic minimal invasive surgery is gaining acceptance in surgical care. In contrast with the appreciated 3D vision and enhanced dexterity, haptic feedback is not offered. For this reason robotics is not considered beneficial for delicate interventions such the endometriosis. Overall, haptic feedback remains debatable and yet unproven except for some simple scenarios such as Fundamentals of Laparoscopic Surgery exercises. OBJECTIVE: The present work investigates the benefits of haptic feedback on more complex surgical gestures, manipulating delicate tissue through coordination between multiple instruments...
September 20, 2018: IEEE Transactions on Bio-medical Engineering
Jing Liu, Anna R Sternberg, Shabnam Ghiasvand, Yevgeny Berdichevsky
OBJECTIVE: Hippocampal slice cultures spontaneously develop chronic epilepsy several days after slicing and are used as an in vitro model of post-traumatic epilepsy. Here, we describe a hybrid microfluidic-microelectrode array (μflow-MEA) technology that incorporates microfluidic perfusion network and electrodes into a miniaturized device for hippocampal slice culture based antiepileptic drug discovery. METHODS: Field potential simulation was conducted to help optimize the electrode design to detect seizure-like population activity...
September 19, 2018: IEEE Transactions on Bio-medical Engineering
Aydin Eresen, Sharla M Birch, Lejla Alic, Jay F Griffin Iv, Joe N Kornegay, Jim Xiuquan Ji
OBJECTIVE: Histology is often used as a gold standard to evaluate non-invasive imaging modalities such as MRI. Spatial correspondence between histology and MRI is a critical step in quantitative evaluation of skeletal muscle in golden retriever muscular dystrophy (GRMD). Registration becomes technically challenging due to non-orthogonal histology section orientation, section distortion, and the different image contrast and resolution. METHODS: This study describes a 3-step procedure to register histology images with multi-parametric MRI: i...
September 17, 2018: IEEE Transactions on Bio-medical Engineering
Visa Suomi, Jiri Jaros, Bradley Treeby, Robin Cleveland
OBJECTIVE: High-intensity focused ultrasound (HIFU) therapy can be used for non-invasive treatment of kidney (renal) cancer, but the clinical outcomes have been variable. In this study, the efficacy of renal HIFU therapy was studied using nonlinear acoustic and thermal simulations in three patients. METHODS: The acoustic simulations were conducted with and without refraction in order to investigate its effect on the shape, size and pressure distribution at the focus...
September 13, 2018: IEEE Transactions on Bio-medical Engineering
Mingxia Liu, Jun Zhang, Ehsan Adeli, Dinggang Shen
In the field of computer-aided Alzheimer's disease (AD) diagnosis, jointly identifying brain diseases and predicting clinical scores using magnetic resonance (MR) imaging have attracted increasing attention since these two tasks are highly correlated. Most of existing joint learning approaches require hand-crafted feature representations for MR images. Since handcrafted features of MRI and classification/regression models may not coordinate well with each other, conventional methods may lead to sub-optimal learning performance...
September 12, 2018: IEEE Transactions on Bio-medical Engineering
Jan Andrysek, Jessica Tomasi, Matthew Leineweber, Arezoo Eshraghi
OBJECTIVE: Biomechanical models can inform design and optimization of prosthetic devices by connecting empirically-derived biomechanical data to device design parameters. A new method is presented to characterize the function of prosthetic stance control under mobility conditions associated with activities of daily living. The method is based on a model of the gait modes corresponding to finite stance control states. METHODS: Empirical data from amputee and simulated gait were acquired using a custom built wearable instrument and input into the model...
September 12, 2018: IEEE Transactions on Bio-medical Engineering
Wei Sheng Li, Jiao Du, Zhengmin Zhao, Jinyi Long
Detail information on objects of interest plays a vital role in current medical diagnosis. However, the existing multimodal sensor fusion methods cause problems of low contrast and color distortion during the process of integration. Therefore, the preservation of detail information in high contrast is worthy of investment in the field of medical image fusion. This paper presents a new multiscale fusion-based framework using the local Laplacian pyramid transform (LLP) and adaptive cloud model (ACM). The proposed framework, LLP+ACM, includes three key modules...
September 10, 2018: IEEE Transactions on Bio-medical Engineering
Ahmad Abiri, Syed Jamie Askari, Anna Tao, Yen-Yi Juo, Yuan Dai, Jake Pensa, Robert Candler, Eric Dutson, Warren Grundfest
As robotic surgery has increased in popularity, the lack of haptic feedback has become a growing issue due to the application of excessive forces that may lead to clinical problems such as intraoperative and postoperative suture breakage. Previous suture breakage warning systems have largely depended on visual and/or auditory feedback modalities, which have been shown to increase cognitive load and reduce operator performance. This work catalogues a new sensing technology and haptic feedback system (HFS) that can reduce instances of suture failure without negatively impacting performance outcomes including knot quality...
September 10, 2018: IEEE Transactions on Bio-medical Engineering
Thomas Tarnaud, Wout Joseph, Luc Martens, Emmeric Tanghe
OBJECTIVE: To explore the potential of ultrasonic modulation of plateau-potential generating subthalamic nucleus neurons (STN), by modeling their interaction with continuous and pulsed ultrasonic waves. METHODS: A computational model for ultrasonic stimulation of the STN is created by combining the Otsuka-model with the bilayer sonophore model. The neuronal response to continuous and pulsed ultrasonic waves is computed in parallel for a range of frequencies, duty cycles, pulse repetition frequencies, and intensities...
September 6, 2018: IEEE Transactions on Bio-medical Engineering
Yusuf Samet Yaras, Sarp Satir, Cagla Ozsoy, Rajiv Ramasawmy, Adrienne Campbell-Washburn, Robert Lederman, Ozgur Kocaturk, Levent Degertekin
OBJECTIVE: The objective of this paper is to introduce an acousto-optic optical fiber sensor for tracking catheter position during interventional magnetic resonance imaging (MRI) to overcome RF induced heating of active markers. METHODS: The sensor uses a miniature coil coupled to a piezoelectric transducer, which is in turn mechanically connected to an optical fiber. The piezoelectric transducer converts the RF signal to acoustic waves in the optical fiber over a region including a fiber Bragg grating (FBG)...
September 5, 2018: IEEE Transactions on Bio-medical Engineering
Siddharth Siddharth, Aashish Patel, Tzyy-Ping Jung, Terry Sejnowski
Multi-modal bio-sensing has recently been used as effective research tools in affective computing, autism, clinical disorders, and virtual reality among other areas. However, none of the existing bio-sensing systems support multi-modality in a wearable manner outside well-controlled laboratory environments with research-grade measurements. This work attempts to bridge this gap by developing a wearable multi-modal bio-sensing system capable of collecting, synchronizing, recording and transmitting data from multiple bio-sensors: PPG, EEG, eye-gaze headset, body motion capture, GSR, etc...
September 4, 2018: IEEE Transactions on Bio-medical Engineering
Ziyun Ding, Nur Liyana Azmi, Anthony Mj Bull
OBJECTIVE: Musculoskeletal modelling has been used to predict the effect of functional electrical stimulation (FES) on the mechanics of the musculoskeletal system. However, validation of the resulting muscle activations due to FES is challenging as conventional electromyography (EMG) recording of signals from the stimulated muscle is affected by stimulation artefacts. A validation approach using a combination of musculoskeletal modelling and EMG was proposed, whereby the effect on non-stimulated muscles is assessed using both techniques...
August 31, 2018: IEEE Transactions on Bio-medical Engineering
Ismail Irmakci, Sarfaraz Hussein, Aydogan Savran, Rita R Kalyani, David Reiter, Chee W Chia, Kenneth Fishbein, Richard G Spencer, Luigi Ferrucci, Ulas Bagci
Magnetic resonance imaging (MRI) is the non-invasive modality of choice for body tissue composition analysis due to its excellent soft tissue contrast and lack of ionizing radiation. However, quantification of body composition requires an accurate segmentation of fat, muscle and other tissues from MR images, which remains a challenging goal due to the intensity overlap between them. In this study, we propose a fully automated, data-driven image segmentation platform that addresses multiple difficulties in segmenting MR images such as varying inhomogeneity, non-standardness, and noise, while producing high-quality definition of different tissues...
August 30, 2018: IEEE Transactions on Bio-medical Engineering
Jianyu Lin, Emil S Walsted, Vibeke Backer, James H Hull, Daniel Elson
OBJECTIVE: At present, there are no objective techniques to quantify and describe laryngeal obstruction, and the reproducibility of subjective manual quantification methods is insufficient, resulting in diagnostic inaccuracy and a poor signal-to-noise ratio in medical research. In this work, a workflow is proposed to quantify laryngeal movements from laryngoscopic videos, to facilitate the diagnosis procedure. METHODS: The proposed method analyses laryngoscopic videos, and delineates glottic opening, vocal folds, and supraglottic structures, using a convolutional neural networks (CNNs) based algorithm...
August 29, 2018: IEEE Transactions on Bio-medical Engineering
Alireza Chamanzar, Shilpa George, Praveen Venkatesh, Maysamreza Chamanzar, Lori Shutter, Jonathan Elmer, Pulkit Grover
We present a novel signal processing algorithm for automated, noninvasive detection of Cortical Spreading Depolarizations (CSDs) using electroencephalography (EEG) signals and validate the algorithm on simulated EEG signals. CSDs are waves of neurochemical changes that suppress neuronal activity as they propagate across the brain's cortical surface. CSDs are believed to mediate secondary brain damage after brain trauma and cerebrovascular diseases like stroke. We address key challenges in detecting CSDs from EEG signals: (i) decay of high spatial frequencies as they travel from the cortical surface to the scalp surface; and (ii) presence of sulci and gyri, which makes it difficult to track the CSD waves as they travel across the cortex...
August 24, 2018: IEEE Transactions on Bio-medical Engineering
Carina Pereira, Xinchi Yu, Tom Goos, Irwin Reiss, Thorsten Orlikowsky, Konrad Heimann, Boudewijn Venema, Vladimir Blazek, Steffen Leonhardt, Daniel Teichmann
Monitoring of respiratory rate (RR) is very important for patient assessment. In fact, it is considered one of the relevant vital parameters in critical care medicine. Nowadays, standard monitoring relies on obtrusive and invasive techniques which require adhesive electrodes or sensors to be attached to the patient's body. Unfortunately, these procedures cause stress, pain and frequently damage the vulnerable skin of preterm infants. The current paper presents a "black-box" algorithm for remote monitoring of RR in thermal videos...
August 23, 2018: IEEE Transactions on Bio-medical Engineering
Ghazal Nabovati, Ebrahim Ghafar-Zadeh, Antoine Letourneau, Mohamad Sawan
This paper presents a novel method for monitoring drug cytotoxicity using a hybrid microfluidic CMOS platform. This platform consists of an array of 8x8 capacitive sensors integrated with a readout circuit on the same chip. In this paper, we present a layer-by-layer (LBL) polyelectrolyte deposition technique to coat the surface of microelectrodes realized in the top most metal layer in 0.35 μm CMOS process. This process successfully enhances the biocompatibility of sensing microelectrodes and consequently increases the cell viability over a three-day period...
August 23, 2018: IEEE Transactions on Bio-medical Engineering
Alex J Thompson, Lindsay J Ma, Thomas J Plegue, Joseph A Potkay
Microfluidic artificial lungs (μALs) are being researched for future clinical use due to the potential for increased gas exchange efficiency, small blood contacting surface area, small priming volume, and biomimetic blood flow paths. However, a current roadblock to clinical use is the need to stack hundreds to thousands of these small scale μALs in parallel to reach clinically relevant blood flows. The need for so many layers not only increases the complexity and projected cost to manufacture a μAL, but also could result in devices which are cumbersome and therefore not suitable for portable artificial lung systems...
August 22, 2018: IEEE Transactions on Bio-medical Engineering
Dawei Shi, Eyal Dassau, Francis J Doyle Iii
OBJECTIVE: Zone model predictive control (MPC) has been proven to be an efficient approach to closed-loop insulin delivery in clinical studies. In this work, we aim to safely reduce mean glucose levels by proposing control penalty adaptation in the cost function of zone MPC. METHODS: A zone MPC method with a dynamic cost function that updates its control penalty parameters in real time according to the predicted glucose and its rate of change is developed. The proposed method is evaluated on the entire 100-adult cohort of the FDA-accepted UVA/Padova T1DM simulator and compared with the zone MPC tested in an extended outpatient study...
August 21, 2018: IEEE Transactions on Bio-medical Engineering
Jack C Tang, Allen Partono, Bahman Anvari
Exogenous fluorescent materials activated by near-infrared (NIR) light can offer deep optical imaging with sub-cellular resolution, and enhanced image contrast. We have engineered NIR particles by doping hemoglobin-depleted erythrocyte ghosts (EGs) with indocyanine green (ICG). We refer to these optical particles as NIR erythrocyte-mimicking transducers (NETs). A particular feature of NETs is that their diameters can be tuned from micrometer to nanometer scale, thereby, providing a capability for broad NIR biomedical imaging applications...
August 20, 2018: IEEE Transactions on Bio-medical Engineering
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