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IEEE Transactions on Bio-medical Engineering

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https://www.readbyqxmd.com/read/30010547/ionic-direct-current-modulation-for-combined-inhibition-excitation-of-the-vestibular-system
#1
Felix Peter Aplin, Dilawer Singh, Charles C Della Santina, Gene Y Fridman
OBJECTIVE: Prosthetic electrical stimulation delivered to the vestibular nerve could provide therapy for people suffering from bilateral vestibular dysfunction (BVD). Common encoding methods use pulse-frequency modulation (PFM) to stimulate the semicircular canals of the vestibular system. We previously showed that delivery of ionic direct current (iDC) can also modulate the vestibular system. In this study we compare the dynamic range of head velocity encoding from iDC modulation to that of PFM controls...
July 16, 2018: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/30010546/computer-vision-techniques-for-water-fat-separation-in-ultra-high-field-mri-local-specific-absorption-rate-estimation
#2
Angel Torrado-Carvajal, Yigitcan Eryaman, Esra Abaci Turk, Joaquin Lopez Herraiz, Juan J Hernandez, Elfar Adalsteinsson, Lawrence Wald, Norberto Malpica
OBJECTIVE: The purpose is to prove that computer-vision techniques allow synthesizing water-fat separation maps for local specific absorption rate (SAR) estimation, when patient-specific water-fat images are not available. METHODS: We obtained ground truth head models by using patient-specific water-fat images. We obtained two different label-fusion water-fat models generating a water-fat multi-atlas and applying the STAPLE and local-MAP-STAPLE label-fusion methods...
July 16, 2018: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/30010545/improving-accuracy-of-non-invasive-hemoglobin-monitors-a-functional-regression-model-for-streaming-sphb-data
#3
Devashish Das, Kalyan Pasupathy, Nadeem Haddad, Susan Hallbeck, Martin Zielinski, Mustafa Sir
OBJECTIVE: The propose of this article is to develop a method for improving the accuracy of SpHb monitors, which are non-invasive hemoglobin monitoring tools, leading to better critical care protocols in trauma care. METHODS: The proposed method is based on fitting smooth spline functions to SpHb measurements collected over a time window and then using a functional regression model to predict the true HgB value for the end of the time window. RESULTS: The accuracy of the proposed method is compared to traditional methods...
July 13, 2018: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/30010544/monitoring-the-relative-blood-pressure-using-a-hydraulic-bed-sensor-system
#4
Bo Yu Su, Moein Enayati, K C Ho, Marjorie Skubic, Laurel Despins, James M Keller, Mihail Popescu, Giovanna Guidoboni, Marilyn Rantz
We propose a non-wearable hydraulic bed sensor system that is placed underneath the mattress to estimate the relative systolic blood pressure of a subject, which only differs from the actual blood pressure by a scaling and an offset factor. Two types of features are proposed to obtain the relative blood pressure, one based on the strength and the other on the morphology of the bed sensor BCG pulses. The relative blood pressure is related to the actual by a scale and an offset factor that can be obtained through calibration...
July 13, 2018: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/30010543/models-for-nociception-stimulation-and-memory-effects-in-awake-and-aware-healthy-individuals
#5
Dana Copot, Clara Mihaela Ionescu
OBJECTIVE: This paper introduces a primer in the healthcare practice, namely a mathematical model and methodology for detecting and analysing nociceptor stimulation followed by related tissue memory effects. METHODS: Non-invasive nociceptor stimulus protocol and prototype device for measuring bioimpedance is provided. Various time instants, sensor location and stimulus train have been analysed. RESULTS: The method and model indicate that nociceptor stimulation perceived as pain in awake healthy volunteers is non-invasively detected...
July 13, 2018: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/30004869/capacitive-ecg-monitoring-in-cardiac-patients-during-simulated-driving
#6
Lennart Leicht, Erik Skobel, Christian Knackstedt, Marcel Mathissen, Angela Sitter, Tobias Wartzek, Werner Mohler, Sebastian Reith, Steffen Leonhardt, Daniel Teichmann
OBJECTIVE: This study aims to compare the informative value of a capacitively coupled electrocardiogram (cECG) to a conventional galvanic reference ECG (rECG) in patients after a major cardiac event under simulated driving conditions. Addressed research questions are the comparison and coherence of cECG and rECG by means of the signal quality, the artifact rate, the rate of assessable data for differential diagnosis, the visibility of characteristic ECG structures in cECG, the precision of ECG time intervals and heart rate (in particular, despite possible waveform deformations due to the cardiac preconditions)...
July 12, 2018: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/30004868/robust-heartbeat-detection-from-multimodal-data-via-cnn-based-generalizable-information-fusion
#7
Sandeep Chandra Bollepalli, Sastry S Challa, Soumya Jana
OBJECTIVE: Heartbeat detection remains central to cardiac disease diagnosis and management, and is traditionally performed based on electrocardiogram (ECG). To improve robustness and accuracy of detection, especially, in certain critical-care scenarios, the use of additional physiological signals such as arterial blood pressure (BP) has recently been suggested. There, estimation of heartbeat location requires information fusion from multiple signals. However, reported efforts in this direction often obtain multimodal estimates somewhat indirectly, by voting among separately obtained signal-specific intermediate estimates...
July 11, 2018: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/30004867/in-vivo-impedance-characterization-of-cortical-recording-electrodes-shows-dependence-on-electrode-location-and-size
#8
Sam E John, Nicholas Vincent Apollo, Nicholas Lachlan Opie, Gil S Rind, Stephen M Ronayne, Clive N May, Thomas J Oxley, David Bruce Grayden
OBJECTIVE: Neural prostheses are improving the quality of life for those suffering from neurological impairments. Electrocorticography electrodes located in subdural, epidural and intravascular positions, show promise as long-term neural prostheses. However, chronic implantation affects the electrochemical environments of these arrays. METHODS: In the present work, the effect of electrode location on the electrochemical properties of the interface was compared. The impedances of the electrode arrays were measured using electrochemical impedance spectroscopy in vitro in saline and in vivo four-weeks post-implantation...
July 10, 2018: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/30004866/design-fabrication-and-evaluation-of-a-parylene-thin-film-electrode-array-for-cochlear-implants
#9
Yuchen Xu, Chuan Luo, Fan-Gang Zeng, John C Middlebrooks, Harrison W Lin, Zheng You
OBJECTIVE: To improve the existing manually-assembled cochlear implant electrode arrays, a thin film electrode array (TFEA) was micro-fabricated to have a maximum electrode density of 15 sites along an 8-mm length, with each site having a 75 1.8-μm (diameter - height) disk electrode. METHODS: The micro-fabrication method adopted a sequence of photoresist transferring, lift-off, two-step oxygen plasma etching, and fuming nitric acid release to reduce lift-off complexity, protect the metal layer, and increase the release efficiency...
July 10, 2018: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/29993516/tensor-based-temporal-and-multi-layer-community-detection-for-studying-brain-dynamics-during-resting-state-fmri
#10
Esraa Al-Sharoa, Mahmood Al-Khassaweneh, Selin Aviyente
OBJECTIVE: In recent years, resting state fMRI has been widely utilized to understand the functional organization of the brain for healthy and disease populations. Recent studies show that functional connectivity during resting state is a dynamic process. Studying this temporal dynamics provides a better understanding of the human brain compared to static network analysis. METHODS: In this paper, a new tensor based temporal and multi-layer community detection algorithm is introduced to identify and track the brain network community structure across time and subjects...
July 9, 2018: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/29993515/predicting-athlete-ground-reaction-forces-and-moments-from-spatio-temporal-driven-cnn-models
#11
William Robert Johnson, Jacqueline Alderson, David G Lloyd, Ajmal Mian
The accurate prediction of 3D ground reaction forces and moments (GRF/Ms) outside the laboratory setting would represent a watershed for on-field biomechanical analysis. To extricate the biomechanist's reliance on ground embedded force plates, this study sought to improve on an earlier Partial Least Squares (PLS) approach by using deep learning to predict 3D GRF/Ms from legacy marker-based motion capture sidestepping trials, ranking multivariate regression of GRF/Ms from five convolutional neural network (CNN) models...
July 9, 2018: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/29993514/an-entropy-regularized-framework-for-detecting-copy-number-variants
#12
Majeed Mohammadi, Fahime Farahi
The detection of DNA copy number variants (CNVs) is essential for the diagnosis and prognosis of multiple diseases including cancer. Array-based comparative genomic hybridization (aCGH) is a technique to find these aberrations. The available methods for CNV discovery are often predicated on several critical assumptions based on which various regularizations are employed. However, most of the resulting problems are not differentiable and finding their optimums needs massive computations. This paper addresses a new entropic regularization which is significantly fast and robust against various types of noise...
July 9, 2018: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/29993513/non-invasive-treatment-efficacy-evaluation-for-hifu-therapy-based-on-magneto-acousto-electrical-tomography
#13
Yan Zhou, Zhengfeng Yu, Qingyu Ma, Gepu Guo, Juan Tu, Dong Zhang
OBJECTIVE: As a novel non-invasive modality of oncotherapy or stroke treatment, high intensity focused ultrasound (HIFU) has drawn more and more attention in the past decades. Whereas, real-time temperature monitoring and treatment efficacy evaluation are still the key issues for HIFU therapy. METHODS: Based on the temperature-conductivity relation of tissues with a sharp conductivity variation of irreversible thermocoagulation at 69°C, a non-invasive method of treatment efficacy evaluation for HIFU ablation using the magneto-acousto-electrical tomography (MAET) technology is theoretically studied...
July 6, 2018: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/29993512/passive-wrist-stiffness-the-influence-of-handedness
#14
Stan Durand, Pierre-Yves Rohan, Taya Hamilton, Wafa Skalli, Hermano Igo Krebs
OBJECTIVE: This paper reports on the quantification of passive wrist joint stiffness and investigates the potential influence of handedness and gender on stiffness estimates. METHODS: We evaluated the torque-angle relationship during passive wrist movements in 2 degrees of freedom (into flexion-extension and radial-ulnar deviation) in thirteen healthy subjects using a wrist robot. Experimental results determined intra-subject differences between dominant and non-dominant wrist and inter-subject differences between male and female participants...
July 6, 2018: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/29993484/ultrasonic-micro-elastography-to-assess-biomechanical-properties-of-the-cornea
#15
Xuejun Qian, Teng Ma, Cho-Chiang Shih, Martin Heur, Zhang Jun, Koping Kirk Shung, Rohit Varma, Mark Humayun, Qifa Zhou
OBJECTIVE: to both qualitatively and quantitatively investigate corneal biomechanical properties through an ultrasonic micro-elastography imaging system, which is potentially useful in diagnosis of diseases such as keratoconus, post-refractive keratectasia and tracking treatment such as cross-linking surgery. METHODS: our imaging system has a dual frequency configuration, including a 4.5 MHz ring transducer to push the tissue and a confocally aligned 40 MHz needle transducer to track micron-level displacement...
July 5, 2018: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/29993482/in-vivo-evaluation-of-microultrasound-and-thermometric-capsule-endoscopes
#16
Holly Lay, Gerard Cummins, Benjamin F Cox, Yongqiang Qiu, Mihnea Vlad Turcanu, Rachael McPhillips, Ciaran Connor, Rachael Gregson, Eddie Clutton, Marc P Y Desmulliez, Sandy Cochran
Clinical endoscopy and colonoscopy are commonly used to investigate and diagnose disorders in the upper gastrointestinal tract and colon respectively. However, examination of the anatomically remote small bowel with conventional endoscopy is challenging. This and advances in miniaturization led to the development of video capsule endoscopy (VCE) to allow small bowel examination in a non-invasive manner. Available since 2001, current capsule endoscopes are limited to viewing the mucosal surface only due to their reliance on optical imaging...
July 5, 2018: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/29993479/tensor-based-method-for-residual-water-suppression-in-h-magnetic-resonance-spectroscopic-imaging
#17
Bharath Halandur Nagaraja, Otto Debals, Diana M Sima, Uwe Himmelreich, Lieven De Lathauwer, Sabine Van Huffel
OBJECTIVE: Magnetic resonance spectroscopic imaging (MRSI) signals are often corrupted by residual water and artifacts. Residual water suppression plays an important role in accurate and efficient quantification of metabolites from MRSI. A tensor-based method for suppressing residual water is proposed. METHODS: A third-order tensor is constructed by stacking the Lowner matrices corresponding to each MRSI voxel spectrum along the third mode. A canonical polyadic decomposition (CPD) is applied on the tensor to extract the water component, and to subsequently remove it from the original MRSI signals...
July 5, 2018: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/29993483/sensory-stimulation-training-for-bci-system-based-on-somatosensory-attentional-orientation
#18
Lin Yao, Xinjun Sheng, Natalie Mrachacz-Kersting, Xiangyang Zhu, Dario Farina, Ning Jiang
In this study, we propose a sensory stimulation training (SST) approach to improve the performance of a brain-computer interface (BCI) based on somatosensory attentional orientation (SAO). In this BCI, subjects imagine the tactile sensation and maintain the attention on the corresponding hand as if there was a tactile stimulus on the wrist skin. Twenty BCI naive subjects were recruited and randomly divided into a Control-Group and an SST-Group. In the Control-Group, subjects performed left hand and right hand SAO tasks in six consecutive runs (with 40 trials in each run), divided into three blocks with each having two runs...
July 4, 2018: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/29993481/on-the-relevance-of-computing-a-local-version-of-sample-entropy-in-cardiovascular-control-analysis
#19
Alberto Porta, Vlasta Bari, Beatrice De Maria, Beatrice Cairo, Emanuele Vaini, Mara Malacarne, Massimo Pagani, Daniela Lucini
OBJECTIVE: Traditional definition of sample entropy (SampEn), here referred to as global SampEn (GSampEn), provides a conditional entropy estimate that blurs the local statistical properties of the time series. We hypothesized that a local version of SampEn (LSampEn) might be more powerful in presence of determinism than GSampEn. METHODS: LSampEn was computed by calculating the probability of the current sample conditioned on each reference pattern and averaging it over all reference patterns...
July 3, 2018: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/29993480/prediction-of-abdominal-aortic-aneurysm-growth-using-dynamical-gaussian-process-implicit-surface
#20
Huan N Do, Ahsan Ijaz, Hamidreza Gharahi, Byron Zambrano, Jongeun Choi, Whal Lee, Seungik Baek
An Abdominal Aortic Aneurysm (AAA) is a form of vascular disease causing focal enlargement of the abdominal aorta. It affects a large part of the population, and in case of rupture, has up to 90% mortality rate. Recent clinical recom- mendations suggest that people with small aneurysms should be examined 3-36 months depending on the size, to monitor morphological changes. While advances in biomechanics provide state-of-the-art spatial estimates of stress distributions of AAAs, there are still limitations in modeling its time evolution and uncertainty qualification...
July 2, 2018: IEEE Transactions on Bio-medical Engineering
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