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IEEE Transactions on Bio-medical Engineering

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https://www.readbyqxmd.com/read/28622666/real-time-automatic-apneic-event-detection-using-nocturnal-pulse-oximetry
#1
Da Woon Jung, Su Hwan Hwang, Jaegeol Cho, Byung Hun Choi, Hyun Jae Baek, Yu Jin Lee, Do Un Jeong, Kwang Suk Park
OBJECTIVE: Nocturnal pulse oximetry has been proposed as a simpler alternative to polysomnography in diagnosing sleep apnea. However, existing techniques are limited in terms of inability to provide time information on sleep apnea occurrence. This study aimed to propose a new strategy for near real-time automatic detection of apneic events and reliable estimation of apnea-hypopnea index using nocturnal pulse oximetry. METHODS: Among 230 polysomnographic recordings with apnea-hypopnea index values ranging from 0 to 86...
June 14, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28622665/non-invasive-in-situ-measurement-of-blood-lactate-using-microwave-sensors
#2
Alex Mason, Olga Korostynska, Julien Louis, Luis Eduardo Cordova-Lopez, Badr Abdullah, Jacob Greene, Rob Connell, John Hopkins
GOAL: This paper reports the use of a novel electromagnetic sensor technique for real-time non-invasive monitoring of blood lactate in human subjects. METHODS: The technique was demonstrated on 34 participants who undertook a cycling regime, with rest period before and after, to produce a rising and falling lactate response curve. Sensors attached to the arm and legs of participants gathered spectral data, blood samples were measured using a Lactate Pro V2, as well as temperature and heart rate data were collected...
June 14, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28622664/mechanical-imaging-of-soft-tissues-with-a-highly-compliant-tactile-sensing-array
#3
Bin Li, Ye Shi, Adam K Fontecchio, Yon Visell
The mechanical imaging of lumps in tissues via surface measurements can permit the noninvasive detection of disease-related differences in body tissues. In routine clinical palpation, physicians frequently make decisions based on mechanical properties that they infer from tactile information felt via touch, but these examinations currently yield little quantitative information. This has motivated the development of electronic methods for mechanical imaging. However, conventional tactile sensors are rigid, unable to conform to curved geometries, and are not adaptable to the shape of all body parts, limiting their applicability in biomedical sensing applications...
June 13, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28613159/non-invasive-blood-pressure-estimation-using-ultrasound-and-simple-finite-element-models
#4
Aaron M Zakrzewski, Brian Anthony
OBJECTIVE: Many commercially-available arterial blood pressure measurement devices suffer from a range of weaknesses. For example, common weaknesses include being inaccurate, invasive, and ad hoc; many also require explicit user calibration or cut off blood flow to a limb. A novel algorithmic approach is presented to accurately estimate systolic and diastolic blood pressure in a way that does not require any explicit user calibration, is non-invasive, and does not cut off blood flow. METHODS: The approach uses ultrasound images of the arterial wall and corresponding contact force data to obtain blood pressure estimates...
June 12, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28600237/a-flexure-guided-piezo-drill-for-penetrating-the-zona-pellucida-of-mammalian-oocytes
#5
Wesley Johnson, Changsheng Dai, Jun Liu, Xian Wang, Devin K Luu, Zhuoran Zhang, Changhai Ru, Chao Zhou, Min Tan, Huayan Pu, Shaorong Xie, Yan Peng, Jun Luo, Yu Sun
Mammalian oocytes such as mouse oocytes have a highly elastic outer membrane, zona pellucida (ZP) that cannot be penetrated without significantly deforming the oocyte, even with a sharp micropipette. Piezo drill devices leverage lateral and axial vibration of the micropipette to accomplish ZP penetration with greatly reduced oocyte deformation. However, existing piezo drills all rely on a large lateral micropipette vibration amplitude (>20 μm ) and a small axial vibration amplitude (<0.1 μm ). The very large lateral vibration amplitude has been deemed to be necessary for ZP penetration although it also induces larger oocyte deformation and more oocyte damage...
June 7, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28600236/dermoscopic-image-segmentation-via-multi-stage-fully-convolutional-networks
#6
Lei Bi, Jinman Kim, Euijoon Ahn, Ashnil Kumar, Michael Fulham, Dagan Feng
Segmentation of skin lesions is an important step in the automated computer aided diagnosis (CAD) of melanoma. However, existing segmentation methods have a tendency to over- or under-segment the lesions and perform poorly when the lesions have fuzzy boundaries, low contrast with the background, inhomogeneous textures, or contain artifacts. Furthermore, the performance of these methods are heavily reliant on the appropriate tuning of a large number of parameters as well as the use of effective pre-processing techniques such as illumination correction and hair removal...
June 7, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28600235/semi-automatic-radiofrequency-ablation-planning-based-on-constrained-clustering-process-for-hepatic-tumors
#7
Rendong Chen, Tian'an Jiang, Fang Lu, Kaifeng Wang, Dexing Kong
Radiofrequency ablation (RFA) is currently one of the most effective methods for minimally invasive treatment of hepatic tumors. Planning the probe placements is an essential and challenging step in RFA treatment. To completely destroy the tumor with minimum amount of affected native tissue, a new RFA planning system is proposed in this paper. In the proposed planning system, the minimum number of ablations and a conical insertion region for each ablation session are determined automatically. Based on the geometric character of the tumor, a novel clustering algorithm is developed to allow a better layout of the overlapping ablations...
June 5, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28600234/rescsrf-algorithm-to-automatically-extract-cheyne-stokes-respiration-features-from-respiratory-signals
#8
Faizan Javed, Henrik Fox
OBJECTIVE: Cheyne-Stokes respiration (CSR) related features are significantly associated with cardiac dysfunction. Scoring of these features is labor-intensive and time-consuming. To automate the scoring process, an algorithm (ResCSRF) has been developed to extract these features from nocturnal measurement of respiratory signals. METHODS: ResCSRF takes 4 signals (nasal flow, thorax, abdomen and finger oxygen saturation) as input. It first detects CSR cycles and then calculates the respiratory features [cyclelength (CL), lung-to-periphery circulation time (LPCT) and time to peak flow (TTPF)]...
June 5, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28600233/effect-of-tissue-heterogeneity-on-the-transmembrane-potential-of-type-1-spiral-ganglion-neurons-a-simulation-study
#9
Kiran Sriperumbudur, Hans Wilhelm Pau, Ursula van Rienen
Electric stimulation of the auditory nerve by cochlear implants has been a successful clinical intervention to treat the sensory neural deafness. In this pathological condition of the cochlea, type-1 spiral ganglion neurons in Rosenthal's canal play a vital role in the action potential initiation. Various morphological studies of the human temporal bones suggest that the spiral ganglion neurons are surrounded by heterogeneous structures formed by a variety of cells and tissues. However, the existing simulation models have not considered the tissue heterogeneity in the Rosenthal's canal while studying the electric field interaction with spiral ganglion neurons...
June 5, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28574340/robust-nonlinear-causality-analysis-of-non-stationary-multivariate-physiological-time-series
#10
Tim Schaeck, Michael Muma, Mengling Feng, Cuntai Guan, Abdelhak Zoubir
GOAL: An important research area in biomedical signal processing is that of quantifying the relationship between simultaneously observed time series and to reveal interactions between the signals. Since biomedical signals are potentially non-stationary and the measurements may contain outliers and artifacts, we introduce a robust time-varying generalized partial directed coherence (rTV-gPDC) function. METHODS: The proposed method, which is based on a robust estimator of the timevarying autoregressive (TVAR) parameters, is capable of revealing directed interactions between signals...
May 26, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28541892/automatic-detection-of-retinal-lesions-for-screening-of-diabetic-retinopathy
#11
Sudeshna Sil Kar, Santi Maity
OBJECTIVE: Diabetic Retinopathy (DR) is characterized by the progressive deterioration of retina with the appearance of different types of lesions that include microaneurysms, hemorrhages, exudates etc. Detection of these lesions plays significant role for early diagnosis of DR. METHODS: To this aim, this paper proposes a novel and automated lesion detection scheme which consists of the four main steps: vessel extraction and optic disc removal, pre-processing, candidate lesion detection and post-processing...
May 24, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28541891/critical-closing-pressure-during-controlled-increase-in-intracranial-pressure-comparison-of-three-methods
#12
Katarzyna Kaczmarska, Magdalena Kasprowicz, Agnieszka Uryga, Leanne Calviello, Georgios Varsos, Zofia Czosnyka, Marek Czosnyka
Critical closing pressure (CrCP) is the arterial blood pressure (ABP) threshold, below which small arterial vessels collapse and cerebral blood flow ceases. Here we aim to compare three methods for CrCPestimation in scenario of a controlled increase in intracranial pressure (ICP), induced by infusion tests performed in patients with suspected normal pressure hydrocephalus (NPH). METHODS: Computer recordings of directly-measured ICP, ABP and transcranial Doppler cerebral blood flow velocity (CBFV), from 37 NPH patients undergoing infusion tests, were retrospectively analyzed...
May 24, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28541890/event-triggered-model-predictive-control-for-embedded-artificial-pancreas-systems
#13
Ankush Chakrabarty, Stamatina Zavitsanou, Francis Doyle Iii, Eyal Dassau
OBJECTIVE: The development of artificial pancreas (AP) technology for deployment in low-energy, embedded devices is contingent upon selecting an efficient control algorithm for regulating glucose in people with type 1 diabetes mellitus (T1DM). In this paper, we aim to lower the energy consumption of the AP by reducing controller updates, that is, the number of times the decision-making algorithm is invoked to compute an appropriate insulin dose. METHODS: Physiological insights into glucose management are leveraged to design an event-triggered model predictive controller (MPC) that operates efficiently, without compromising patient safety...
May 23, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28541195/monitoring-acute-stroke-in-mouse-model-using-laser-speckle-imaging-guided-visible-light-optical-coherence-tomography
#14
Qi Liu, Siyu Chen, Brian Soetikno, Wenzhong Liu, Shanbao Tong, Hao Zhang
OBJECTIVE: Monitoring hemodynamic and vascular changes in the acute stages of mouse stroke models is invaluable in studying ischemic stroke pathophysiology. However, there lacks a tool to simultaneously and dynamically investigate these changes. METHODS: We integrated laser speckle imaging (LSI) and visible-light optical coherence tomography (Vis-OCT) to reveal dynamic vascular responses in acute stages in the distal middle cerebral artery occlusion (dMCAO) model in rodents...
May 23, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28541194/reduction-of-blood-glucose-measurements-to-calibrate-subcutaneous-glucose-sensors-a-bayesian-multi-day-framework
#15
Giada Acciaroli, Martina Vettoretti, Andrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
OBJECTIVE: In most continuous glucose monitoring (CGM) devices used for diabetes management, the electrical signal measured by the sensor is transformed to glucose concentration by a calibration function whose parameters are estimated using self-monitoring of blood glucose (SMBG) samples. The calibration function is usually a linear model approximating the nonlinear relationship between electrical signal and glucose concentration in certain time intervals. Thus, CGM devices require frequent calibrations, usually twice a day...
May 23, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28541192/real-time-error-control-for-surgical-simulation
#16
Huu Phuoc Bui, Satyendra Tomar, Hadrien Courtecuisse, Stephane Cotin, Stephane Bordas
OBJECTIVE: To present the first real-time a posteriori error-driven adaptive finite element approach for realtime simulation and to demonstrate the method on a needle insertion problem. METHODS: We use corotational elasticity and a frictional needle/tissue interaction model. The problem is solved using finite elements within SOFA1. The refinement strategy relies upon a hexahedron-based finite element method, combined with a posteriori error estimation driven local h-refinement, for simulating soft tissue deformation...
May 23, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28541191/fast-numerical-simulation-of-focused-ultrasound-treatments-during-respiratory-motion-with-discontinuous-motion-boundaries
#17
Michael Schwenke, Joachim Georgii, Tobias Preusser
OBJECTIVE: Focused ultrasound (FUS) is rapidly gaining clinical acceptance for several target tissues in the human body. Yet, treating liver targets is not clinically applied due to a high complexity of the procedure (noninvasiveness, target motion, complex anatomy, blood cooling effects, shielding by ribs, and limited image-based monitoring). To reduce the complexity, numerical FUS simulations can be utilized for both treatment planning and execution. These use-cases demand highly accurate and computationally efficient simulations...
May 23, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28541193/analysis-of-energy-based-metrics-for-laparoscopic-skills-assessment
#18
Behnaz Poursartip, Marie-Eve LeBel, Rajni Patel, Michael Naish, Ana Luisa Trejos
OBJECTIVE: The complexity of Minimally Invasive Surgery (MIS) requires that trainees practice MIS skills in numerous training sessions. The goal of these training sessions is to learn how to move the instruments smoothly without damaging the surrounding tissue and achieving operative tasks with accuracy. In order to enhance the efficiency of these training sessions, the proficiency of the trainees should be assessed using an objective assessment method. Several performance metrics have been proposed and analyzed for MIS tasks...
May 19, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28534754/the-icvsie-a-general-purpose-integral-equation-method-for-bio-electromagnetic-analysis
#19
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
https://www.readbyqxmd.com/read/28504931/robust-real-time-musculoskeletal-modeling-driven-by-electromyograms
#20
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
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