journal
MENU ▼
Read by QxMD icon Read
search

IEEE Transactions on Bio-medical Engineering

journal
https://www.readbyqxmd.com/read/28436843/fabrication-and-performance-of-a-miniaturized-and-integrated-endoscope-ultrasound-convex-array-for-digestive-tract-imaging
#1
Jue Peng, Xiaojian Peng, Hu Tang, Xiaozhen Li, Ruimin Chen, Yang Li, Tianfu Wang, Siping Chen, Koping Shung, Qifa Zhou
OBJECTIVE: This work presents the design, fabrication and testing of a miniaturized and integrated ultrasound endoscope for use as an in situ digestive diagnostic device to facilitate real-time ultrasound guidance of intervention treatments. METHODS: We designed an optimal structure to integrate an auto-focus 5-megapixel camera module with an 8-MHz, 64-element curvilinear ultrasonic array in one miniaturized package. A novel three-axis auto-focusing voice coil motor (VCM) was designed and manufactured for the camera module to move the lens position for auto-focusing and to adjust the lens tilt...
April 24, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28436842/a-hybrid-image-registration-and-matching-framework-for-real-time-motion-tracking-in-mri-guided-radiotherapy
#2
Matteo Seregni, Chiara Paganelli, Paul Summers, Massimo Bellomi, Guido Baroni, Marco Riboldi
OBJECTIVE: MRI-guided radiotherapy (MRIgRT) is an emerging treatment technique where anatomical and pathological structures are imaged through integrated MR-radiotherapy units. This work aims (i) at assessing the accuracy of optical-flow based motion tracking in liver cine-MRI sequences and (ii) at testing a MRIgRT workflow combining similarity-based image matching with image registration. METHODS: After an initialization stage, a set of template images is collected and registered to the first frame of the cine-MRI sequence...
April 24, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28436841/two-wire-bus-combining-full-duplex-body-sensor-network-and-multilead-biopotential-measurements
#3
Michael Rapin, Josias Wacker, Olivier Chetelat
Classical approaches to make high-quality measurements of biopotential signals require the use of shielded or multiwire cables connecting the electrodes to a central unit in a star arrangement. As a consequence, increasing the number of leads increases cabling and connector complexity which is not only limiting the patient comfort but is also anticipated as the main limiting factor to future miniaturization and cost reduction of tomorrow's wearables. We have recently introduced a novel sensing architecture that significantly reduces the cabling complexity by eliminating shielded or multiwire cables and by allowing simple connectors thanks to a bus arrangement...
April 24, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28436840/a-parametric-computational-model-of-the-action-potential-of-pacemaker-cells
#4
Weiwei Ai, Nitish Patel, Partha Roop, Avinash Malik, Sidharta Andalam, Eugene Yip, Nathan Allen, Mark Trew
OBJECTIVE: A flexible, efficient and verifiable pacemaker cell model is essential to the design of real-time virtual hearts that can be used for closed-loop validation of cardiac devices. A new parametric model of pacemaker action potential is developed to address this need. METHODS: The action potential phases are modeled using hybrid automaton (HA) with one piecewise-linear continuous variable. The model can capture ratedependent dynamics, such as action potential duration (APD) restitution, conduction velocity (CV) restitution, and overdrive suppression by incorporating non-linear update functions...
April 24, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28436835/neural-spike-train-synchronisation-indices-definitions-interpretations-and-applications
#5
D M Halliday, J R Rosenberg
A comparison of previously defined spike train syncrhonization indices is undertaken within a stochastic point process framework. The second order cumulant density (covariance density) is shown to be common to all the indices. Simulation studies were used to investigate the sampling variability of a single index based on the second order cumulant. The simulations used a paired motoneurone model and a paired regular spiking cortical neurone model. The sampling variability of spike trains generated under identical conditions from the paired motoneurone model varied from 50% { 160% of the estimated value...
April 24, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28436838/electromechanical-coupling-factor-of-breast-tissue-as-a-biomarker-for-breast-cancer
#6
Kihan Park, Wenjin Chen, Marina Chekmareva, David Foran, Jaydev Desai
GOAL: This research aims to validate a new biomarker of breast cancer by introducing electromechanical coupling factor of breast tissue samples as a possible additional indicator of breast cancer. Since collagen fibril exhibits a structural organization that gives rise to a piezoelectric effect, the difference in collagen density between normal and cancerous tissue can be captured by identifying the corresponding electromechanical coupling factor. METHODS: The design of a portable diagnostic tool and a microelectromechanical systems(MEMS)- based biochip, which is integrated with a piezoresistive sensing layer for measuring the reaction force as well as a microheater for temperature control, is introduced...
April 19, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28436836/enhancing-detection-of-ssveps-for-a-high-speed-brain-speller-using-task-related-component-analysis
#7
Masaki Nakanishi, Yijun Wang, Xiaogang Chen, Yu-Te Wang, Xiaorong Gao, Tzyy-Ping Jung
OBJECTIVE: This study proposes and evaluates a novel data-driven spatial filtering approach for enhancing steady-state visual evoked potentials (SSVEPs) detection towards a high-speed brain-computer interface (BCI) speller. METHODS: Task-related component analysis (TRCA), which can enhance reproducibility of SSVEPs across multiple trials, was employed to improve the signal-to-noise ratio (SNR) of SSVEP signals by removing background electroencephalographic (EEG) activities...
April 19, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28436839/automatic-subretinal-fluid-segmentation-of-retinal-sd-oct-images-with-neurosensory-retinal-detachment-guided-by-enface-fundus-imaging
#8
Menglin Wu, Qiang Chen, Xiaojun He, Ping Li, Wen Fan, Songtao Yuan, Hyunjin Park
OBJECTIVE: Accurate segmentation of neurosensory retinal detachment (NRD)-associated subretinal fluid in spectral domain optical coherence tomography (SD-OCT) is vital for the assessment of central serous chorioretinopathy (CSC). A novel two-stage segmentation algorithm was proposed, guided by Enface fundus imaging. METHODS: In the first stage, Enface fundus image was segmented using thickness map prior to detecting the fluid-associated abnormalities with diffuse boundaries...
April 18, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28436837/passive-bci-in-operational-environments-insights-recent-advances-and-future-trends
#9
Pietro Arico, Gianluca Borghini, Gianluca Di Flumeri, Nicolina Sciaraffa, Alfredo Colosimo, Fabio Babiloni
OBJECTIVE: this mini-review aims to highlight recent important aspects to consider and evaluate when passive Brain-Computer Interface (pBCI) systems would be developed and used in operational environments, and remarks future directions of their applications. METHODS: Electroencephalography (EEG)-based pBCI has become an important tool for real-time analysis of brain activity, since it could potentially provide, covertly - without distracting the user from the main task - and objectively - not affected by the subjective judgement of an observer or the user itself - information about the operator cognitive state...
April 17, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28422648/fast-and-stable-signal-deconvolution-via-compressible-state-space-models
#10
Abbas Kazemipour, Ji Liu, Krystyna Solarana, Daniel Nagode, Patrick Kanold, Min Wu, Behtash Babadi
OBJECTIVE: Common biological measurements are in the form of noisy convolutions of signals of interest with possibly unknown and transient blurring kernels. Examples include EEG and calcium imaging data. Thus, signal deconvolution of these measurements is crucial in understanding the underlying biological processes. The objective of this paper is to develop fast and stable solutions for signal deconvolution from noisy, blurred and undersampled data, where the signals are in the form of discrete events distributed in time and space...
April 13, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28422650/joint-magnetic-calibration-and-localization-based-on-expectation-maximization-for-tongue-tracking
#11
Jun Lu, Zhongtao Yang, Klaus Okkelberg, Maysam Ghovanloo
BACKGROUND: Tongue tracking, which helps researchers gain valuable insights into speech mechanism, has many applications in speech therapy and language learning. The wireless localization technique, which involves tracking a small magnetic tracer within the 3-D oral space, provides a low cost and convenient approach to capture tongue kinematics. In practice, this technique requires accurate calibration of 3-axial magnetic sensors used in the tracking system. The data-driven calibration depends on the trajectories of magnetic tracer and the ambient noise, which may change across time and space...
April 12, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28422649/visual-servoed-three-dimensional-rotation-control-in-zebrafish-larva-heart-microinjection-system
#12
Songlin Zhuang, Weiyang Lin, Jie Zhong, Gefei Zhang, Li Li, Jianbin Qiu, Huijun Gao
OBJECTIVE: Zebrafish larva heart microinjection is a widely used technique in cardiac disease study. Compared with intensively researched rotation control of spherical or nearly spherical targets with clear structures, such as cells and embryos, 3-D rotation control of zebrafish larva demands new techniques due to its non-transparent structures and irregular outlines. METHODS: In this paper, we present a vision-servo system to automate the rotation process of zebrafish larva body...
April 12, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28422647/eeg-based-affect-and-workload-recognition-in-a-virtual-driving-environment-for-asd-intervention
#13
Jing Fan, Joshua W Wade, Alexandra P Key, Zachary Warren, Nilanjan Sarkar
OBJECTIVE: To build group-level classification models capable of recognizing affective states and mental workload of individuals with autism spectrum disorder (ASD) during driving skill training. METHODS: Twenty adolescents with ASD participated in a six-session virtual reality driving simulator based experiment, during which their electroencephalogram (EEG) data were recorded alongside driving events and a therapist's rating of their affective states and mental workload...
April 12, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28410095/position-and-orientation-insensitive-wireless-power-transmission-for-enercage-homecage-system
#14
Yaoyao Jia, S Abdollah Mirbozorgi, Zheyuan Wang, Chia Chun Hsu, Teresa Madsen, Donald Rainnie, Maysam Ghovanloo
No abstract text is available yet for this article.
April 7, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28410094/stiffness-perception-during-active-ankle-and-knee-movement
#15
Alejandro F Azocar, Elliott J Rouse
OBJECTIVE: Recently, human joint impedance-the instantaneous mechanical response to a perturbation-has been quantified during gait, providing new insight beyond the traditional biomechanical descriptions of kinetics and kinematics. However, the role of joint impedance in neuromotor control and the development of exoskeletons and other wearable robotic systems remains unknown. One approach to studying the role of impedance in neuromotor control involves characterizing the human ability to discriminate changes in external impedance properties...
April 6, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28391188/a-computational-study-of-vocal-fold-dehydration-during-phonation
#16
Liang Wu, Zhaoyan Zhang
While vocal fold dehydration is often considered an important factor contributing to vocal fatigue, it still remains unclear whether vocal fold vibration alone is able to induce severe dehydration that has noticeably effect on phonation and perceived vocal effort. A three-dimensional model was developed to investigate vocal fold systemic dehydration and surface dehydration during phonation. Based on the linear poroelastic theory, the model considered water resupply from blood vessels through the lateral boundary, water movement within the vocal folds, water exchange between the vocal folds and the surface liquid layer through the epithelium, and surface fluid accumulation and discharge to the glottal airway...
April 5, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28391187/double-stage-delay-multiply-and-sum-beamforming-algorithm-application-to-linear-array-photoacoustic-imaging
#17
Moein Mozaffarzadeh, Ali Mahloojifar, Mahdi Orooji, Saba Adabi, Mohammadreza Nasiriavanaki
Photoacoustic imaging (PAI) is an emerging medical imaging modality capable of providing high spatial resolution of Ultrasound (US) imaging and high contrast of optical imaging. Delay-and-Sum (DAS) is the most common beamforming algorithm in PAI. However, using DAS beamformer leads to low resolution images and considerable contribution of offaxis signals. A new paradigm namely Delay-Multiply-and-Sum (DMAS), which was originally used as a reconstruction algorithm in confocal microwave imaging, was introduced to overcome the challenges in DAS...
April 5, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28391186/dual-channel-active-contour-model-for-megakaryocytic-cell-segmentation-in-bone-marrow-trephine-histology-images
#18
Tzu-Hsi Song, Victor Sanchez, Hesham ElDaly, Nasir Rajpoot
Assessment of morphological features of megakaryocytes (special kind of cells) in bone marrow trephine biopsies play an important role in the classification of different subtypes of Philadelphia-chromosome-negative myeloproliferative neoplasms (Ph-negative MPNs). In order to aid hematopathologists in the study of megakaryocytes, we propose a novel framework that can efficiently delineate the nuclei and cytoplasm of these cells in digitized images of bone marrow trephine biopsies. The framework first employs a supervised machine learning approach that utilizes color and texture features to delineate megakaryocytic nuclei...
April 4, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28391185/bipolar-microsecond-pulses-and-insulated-needle-electrodes-for-reducing-muscle-contractions-during-irreversible-electroporation
#19
Chenguo Yao, Shoulong Dong, Yajun Zhao, Yanpeng Lv, Hongmei Liu, Lingyu Gong, Jianhao Ma, Haifeng Wang, Yinghao Sun
To minimize the effect of muscle contractions during irreversible electroporation (IRE), this paper attempts to research the ablation effect and muscle contractions by applying high-frequency irreversible electroporation (H-FIRE) ablation to liver tissue in vivo. METHODS: Insulated needle electrode was designed by painting insulating-coating on the outer surface of the needle electrode tip. Series experiments were conducted using insulated needle electrodes and traditional needle electrodes to apply H-FIRE pulses and traditional monopolar IRE pulses to rabbit liver tissues...
April 4, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28371772/spatial-evidential-clustering-with-adaptive-distance-metric-for-tumor-segmentation-in-fdg-pet-images
#20
Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera
While the accurate delineation of tumor volumes in FDG-PET is a vital task for diverse objectives in clinical oncology, noise and blur due to the imaging system make it a challenging work. In this paper, we propose to address the imprecision and noise inherent in PET using Dempster-Shafer theory, a powerful tool for modeling and reasoning with uncertain and/or imprecise information. Based on Dempster-Shafer theory, a novel evidential clustering algorithm is proposed and tailored for the tumor segmentation task in 3D...
March 30, 2017: IEEE Transactions on Bio-medical Engineering
journal
journal
21090
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"