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https://www.readbyqxmd.com/read/28228009/emergency-ultrasonography-of-the-gastrointestinal-tract-of-children
#1
Jae-Yeon Hwang
Ultrasonography (US) is widely used to evaluate most body parts in pediatric patients because it is simple, noninvasive, easy to use, and applicable in a wide variety of clinical situations. US is the modality of choice for the initial evaluation of acute abdominal pain in pediatric patients because of their small body habitus and the presence of less fat tissue in the abdominal wall and peritoneal cavity. The most important factor in performing pediatric emergency US is the graded compression technique and selection of the proper transducer...
January 25, 2017: Ultrasonography
https://www.readbyqxmd.com/read/28228008/integration-of-highly-strained-sige-in-source-and-drain-with-hk-and-mg-for-22%C3%A2-nm-bulk-pmos-transistors
#2
Guilei Wang, Jun Luo, Changliang Qin, Renrong Liang, Yefeng Xu, Jinbiao Liu, Junfeng Li, Huaxiang Yin, Jiang Yan, Huilong Zhu, Jun Xu, Chao Zhao, Henry H Radamson, Tianchun Ye
In this study, the integration of SiGe selective epitaxy on source/drain regions and high-k and metal gate for 22 nm node bulk pMOS transistors has been presented. Selective Si1-x Ge x growth (0.35 ≤ × ≤ 0.40) with boron concentration of 1-3 × 10(20) cm(-3) was used to elevate the source/drain. The main focus was optimization of the growth parameters to improve the epitaxial quality where the high-resolution x-ray diffraction (HRXRD) and energy dispersive spectrometer (EDS) measurement data provided the key information about Ge profile in the transistor structure...
December 2017: Nanoscale Research Letters
https://www.readbyqxmd.com/read/28227999/polysilicon-based-flexible-temperature-sensor-for-high-spatial-resolution-brain-temperature-monitoring
#3
Zhizhen Wu, Chunyan Li, Jed Hartings, Raj K Narayan, Chong Ahn, Zhizhen Wu, Chunyan Li, Jed Hartings, Raj K Narayan, Chong Ahn, Zhizhen Wu, Chunyan Li, Chong Ahn, Jed Hartings, Raj K Narayan
In this paper, we present a flexible temperature sensor with ultra-small polysilicon thermistors for brain temperature monitoring. In vitro sensitivity, resolution, thermal hysteresis and long term stability tests were performed. Temperature coefficient of resistance (TCR) of -0.0031/ °C and resolution of 0.1 °C were obtained for the sensor. Thermal hysteresis for temperature range of 30~45 °C was less than 0.1 °C. With silicon nitride as the passivation layer, the temperature sensor showed a drift within 0...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227998/monitoring-of-thermal-treatment-by-linearly-chirped-fiber-bragg-grating-sensors-feasibility-assessment-during-laser-ablation-on-ex-vivo-liver
#4
F Napoleoni, M Caponera, A Polimadei, D Tosi, P Saccomandi, E Schena, F Napoleoni, M Caponera, A Polimadei, D Tosi, P Saccomandi, E Schena, A Polimadei, P Saccomandi, D Tosi, F Napoleoni, F Schena
In this work a spatially-resolved fiber optic temperature sensor has been characterized in a wide range of gradient applied on its active area (from -35 °C to +35 °C). Preliminary experiments to assess its feasibility for application in laser ablation have been performed. The sensor under test is a linearly chirped fiber Bragg grating (FBG), with 1.5 cm-length of active area. It can be considered as a chain of several FBGs, each able to sense local temperature. The sensor response to the gradient has been analyzed in terms of its spectrum width (full width at half maximum)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227997/an-autoclavable-wireless-palpation-instrument-for-minimally-invasive-surgery
#5
Anish S Naidu, Abelardo Escoto, Omar Fahmy, Rajni V Patel, Michael D Naish, Anish S Naidu, Abelardo Escoto, Omar Fahmy, Rajni V Patel, Michael D Naish, Abelardo Escoto, Omar Fahmy, Michael D Naish, Anish S Naidu, Rajni V Patel
Minimally invasive surgery prevents surgeons from manually palpating organs to locate subsurface tumors and other structures. One solution is to use ultrasound; however, it is not always reliable. Various minimally invasive surgery instruments that provide tactile feedback have been proposed to augment ultrasound sensing for tumor localization; however, current designs have limitations such as cumbersome wiring, difficulty in manipulation, lack of sterilizability and high cost. This paper presents a novel, autoclavable, wireless, hand-held palpation instrument that uses a custom, low-cost, disposable tactile sensor to provide tactile and kinesthetic force feedback...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227996/a-novel-approach-for-chewing-detection-based-on-a-wearable-ppg-sensor
#6
Vasileios Papapanagiotou, Christos Diou, Lingchuan Zhou, Janet van den Boer, Monica Mars, Anastasios Delopoulos, Vasileios Papapanagiotou, Christos Diou, Lingchuan Zhou, Janet van den Boer, Monica Mars, Anastasios Delopoulos, Janet van den Boer, Vasileios Papapanagiotou, Lingchuan Zhou, Anastasios Delopoulos, Monica Mars, Christos Diou
Monitoring of human eating behaviour has been attracting interest over the last few years, as a means to a healthy lifestyle, but also due to its association with serious health conditions, such as eating disorders and obesity. Use of self-reports and other non-automated means of monitoring have been found to be unreliable, compared to the use of wearable sensors. Various modalities have been reported, such as acoustic signal from ear-worn microphones, or signal from wearable strain sensors. In this work, we introduce a new sensor for the task of chewing detection, based on a novel photoplethysmography (PPG) sensor placed on the outer earlobe to perform the task...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227994/development-of-a-high-sensitivity-and-portable-cell-using-helmholtz-resonance-for-noninvasive-blood-glucose-level-measurement-based-on-photoacoustic-spectroscopy
#7
K Tachibana, K Okada, R Kobayashi, Y Ishihara, K Tachibana, K Okada, R Kobayashi, Y Ishihara, R Kobayashi, Y Ishihara, K Okada, K Tachibana
We describe the possibility of high-sensitivity noninvasive blood glucose measurement based on photoacoustic spectroscopy (PAS). The demand for noninvasive blood glucose-level measurement has increased due to the explosive increase in diabetic patients. We have developed a noninvasive blood glucose-level measurement based on PAS. The conventional method uses a straight-type resonant cell. However, the cell volume is large, which results in a low detection sensitivity and difficult portability. In this paper, a small-sized Helmholtz-type resonant cell is proposed to improve detection sensitivity and portability by reducing the cell dead volume...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227992/modeling-and-design-of-antennas-for-implantable-telemetry-applications
#8
Arun Venkatasubramanian, Brandon Gifford, Arun Venkatasubramanian, Brandon Gifford, Brandon Gifford, Arun Venkatasubramanian
Incorporating an RF communications link in an implanted medical device can increase its range of applicability and improve quality of life for the patient. Developments in support electronics decrease design risk, but the implanted antenna remains a critical component of a communications link that operates at very low received power. Transmitted power is limited both by regulatory restrictions and, for most implanted devices, by power source capacity. Dielectric losses and wave trapping in the body result in transmission losses much greater than seen in free space communications...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227986/automated-neurovascular-tracing-and-analysis-of-the-knife-edge-scanning-microscope-rat-nissl-data-set-using-a-computing-cluster
#9
Sungjun Lim, Michael R Nowak, Yoonsuck Choe, Sungjun Lim, Michael R Nowak, Yoonsuck Choe, Michael R Nowak, Sungjun Lim, Yoonsuck Choe
We present a novel, parallelizable algorithm capable of automatically reconstructing and calculating anatomical statistics of cerebral vascular networks embedded in large volumes of Rat Nissl-stained data. In this paper, we report the results of our method using Rattus somatosensory cortical data acquired using Knife-Edge Scanning Microscopy. Our algorithm performs the reconstruction task with averaged precision, recall, and F2-score of 0.978, 0.892, and 0.902 respectively. Calculated anatomical statistics show some conformance to values previously reported...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227985/a-multi-criteria-evaluation-platform-for-segmentation-algorithms
#10
Pierre Laurent, Thierry Cresson, Carlos Vazquez, Nicola Hagemeister, Jacques A de Guise, Pierre Laurent, Thierry Cresson, Carlos Vazquez, Nicola Hagemeister, Jacques A de Guise, Thierry Cresson, Carlos Vazquez, Nicola Hagemeister, Jacques A de Guise, Pierre Laurent
The purpose of this paper is to present a platform for evaluating segmentation algorithms that detect anatomical structures in medical images. Structure detection being subject to human interpretation, we first describe a method to define a ground truth model, i.e. a generated bronze standard, that will be the reference for subsequent analysis. This bronze standard will be characterized in order to retrieve its confidence level that will later be used to normalize the algorithm evaluation. We then describe how the developed platform helps in evaluating algorithm performances described using five evaluation criteria: accuracy, reliability, robustness, under/over segmentation sensitivity and outlier sensitivity...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227984/preliminary-study-on-the-automated-skull-fracture-detection-in-ct-images-using-black-hat-transform
#11
Ayumi Yamada, Atsushi Teramoto, Tomoko Otsuka, Kohei Kudo, Hirofumi Anno, Hiroshi Fujita, Ayumi Yamada, Atsushi Teramoto, Tomoko Otsuka, Kohei Kudo, Hirofumi Anno, Hiroshi Fujita, Tomoko Otsuka, Hiroshi Fujita, Ayumi Yamada, Kohei Kudo, Hirofumi Anno, Atsushi Teramoto
Linear skull fracture, following head trauma, may reach major blood vessels, such as the middle meningeal artery or sinus venosus, and may cause epidural hematoma. However, hematoma is likely to be missed in the initial interpretation because it spreads only gradually. In addition, the fracture lines that run along the scan slice plane are often missed during initial interpretation. In this study, we develop a novel method for automated detection of the linear skull fracture using head computed tomography (CT) images and conduct a basic evaluation using digital phantom and head phantom that enclose genuine human bones...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227983/3d-small-structure-detection-in-medical-image-using-texture-analysis
#12
Fei Gao, Min Zhang, Teresa Wu, Kevin M Bennett, Fei Gao, Min Zhang, Teresa Wu, Kevin M Bennett, Min Zhang, Teresa Wu, Fei Gao, Kevin M Bennett
Small structure segmentation from medical images is a challenging problem yet has important applications. Examples are labeling cell, lesion and glomeruli for disease diagnosis, just to name a few. Though extensive research has proposed various detectors for this type of problem, most are 2D detectors. Recently, we have developed a Hessian based 3D detector to segment small structures from medical images (e.g., MRI). In our detector, two 3D geometrical features: regional blobness and flatness, in conjunction with the intensity features are fully utilized to serve the segmentation purpose...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227981/assessment-of-sedation-analgesia-by-means-of-poincare%C3%AC-analysis-of-the-electroencephalogram
#13
Jose D Bolanos, Montserrat Vallverdu, Pere Caminal, Daniel F Valencia, Xavi Borrat, Pedro L Gambus, Jose F Valencia, Jose D Bolanos, Montserrat Vallverdu, Pere Caminal, Daniel F Valencia, Xavi Borrat, Pedro L Gambus, Jose F Valencia, Jose D Bolanos, Xavi Borrat, Jose F Valencia, Montserrat Vallverdu, Pere Caminal, Pedro L Gambus, Daniel F Valencia
Monitoring the levels of sedation-analgesia may be helpful for managing patient stress on minimally invasive medical procedures. Monitors based on EEG analysis and designed to assess general anesthesia cannot distinguish reliably between a light and deep sedation. In this work, the Poincaré plot is used as a nonlinear technique applied to EEG signals in order to characterize the levels of sedation-analgesia, according to observed categorical responses that were evaluated by means of Ramsay Sedation Scale (RSS)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227980/motor-imagery-based-brain-computer-interface-using-transform-domain-features
#14
Ahmed M Elbaz, Ahmed T Ahmed, Ayman M Mohamed, Mohamed A Oransa, Khaled S Sayed, Ayman M Eldeib, Ahmed M Elbaz, Ahmed T Ahmed, Ayman M Mohamed, Mohamed A Oransa, Khaled S Sayed, Ayman M Eldeib, Mohamed A Oransa, Khaled S Sayed, Ayman M Mohamed, Ahmed T Ahmed, Ahmed M Elbaz, Ayman M Eldeib
Brain Computer Interface (BCI) is a channel of communication between the human brain and an external device through brain electrical activity. In this paper, we extracted different features to boost the classification accuracy as well as the mutual information of BCI systems. The extracted features include the magnitude of the discrete Fourier transform and the wavelet coefficients for the EEG signals in addition to distance series values and invariant moments calculated for the reconstructed phase space of the EEG measurements...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227978/modulation-of-motor-cortex-excitability-by-peripheral-magnetic-stimulation-of-different-stimulus-sites-and-frequencies
#15
A Sato, X Liu, T Torii, M Iwahashi, K Iramina, A Sato, X Liu, T Torii, M Iwahashi, K Iramina, M Iwahashi, X Liu, A Sato, K Iramina, T Torii
Peripheral stimulation is known to influence the state of cortical excitability. The purpose of this study is to investigate whether peripheral magnetic stimulation has similar effects on cortical excitability to transcranial magnetic stimulation (TMS). A magnetic stimulator with a flat figure-of-eight coil was used for both TMS, and peripheral magnetic stimulation applied to the bilateral forearms. TMS was performed on the left primary motor cortex to evaluate influence of the peripheral magnetic stimulation, and motor evoked potential (MEP) was measured from the right first dorsal interosseous...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227974/heart-rate-variability-as-a-biomarker-for-sedation-depth-estimation-in-icu-patients
#16
Sunil B Nagaraj, Sowmya M Ramaswamy, Siddharth Biswal, Emily J Boyle, David W Zhou, Lauren M Mcclain, Eric S Rosenthal, Patrick L Purdon, M Brandon Westover, Sunil B Nagaraj, Sowmya M Ramaswamy, Siddharth Biswal, Emily J Boyle, David W Zhou, Lauren M Mcclain, Eric S Rosenthal, Patrick L Purdon, M Brandon Westover, M Brandon Westover, Sunil B Nagaraj, Siddharth Biswal, Sowmya M Ramaswamy, Lauren M Mcclain, David W Zhou, Emily J Boyle, Patrick L Purdon, Eric S Rosenthal
An automated patient-specific system to classify the level of sedation in ICU patients using heart rate variability signal is presented in this paper. ECG from 70 mechanically ventilated adult patients with administered sedatives in an ICU setting were used to develop a support vector machine based system for sedation depth monitoring using several heart rate variability measures. A leave-one-subject-out cross validation was used for classifier training and performance evaluations. The proposed patient-specific system provided a sensitivity, specificity and an AUC of 64%, 84...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227973/improving-odorant-chemical-class-prediction-with-multi-layer-perceptrons-using-temporal-odorant-spike-responses-from-drosophila-melanogaster-olfactory-receptor-neurons
#17
Luqman R Bachtiar, Richard D Newcomb, Andrew V Kralicek, Charles P Unsworth, Luqman R Bachtiar, Richard D Newcomb, Andrew V Kralicek, Charles P Unsworth, Charles P Unsworth, Andrew V Kralicek, Richard D Newcomb, Luqman R Bachtiar
In this work, we examine the possibility of improving the prediction performance of an olfactory biosensor through the use of temporal spiking data. We present an Artificial Neural Network (ANN), in the form of an optimal hybrid Multi-Layer Perceptron (MLP) system for the classification of chemical odorants from olfactory receptor neuron spike responses of the Drosophila melanogaster fruit fly (DmOrs). The data used in this study contains the responses to 34 odorants from 6 individual DmOrs, of which we exploit the temporal spiking responses of a 500ms odorant stimulus window...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227970/combining-a-hybrid-robotic-system-with-a-bain-machine-interface-for-the-rehabilitation-of-reaching-movements-a-case-study-with-a-stroke-patient
#18
F Resquin, J Ibanez, J Gonzalez-Vargas, F Brunetti, I Dimbwadyo, S Alves, L Carrasco, L Torres, Jose Luis Pons, F Resquin, J Ibañez, J Gonzalez-Vargas, F Brunetti, I Dimbwadyo, S Alves, L Carrasco, L Torres, Jose Luis Pons, S Alves, Jose Luis Pons, F Brunetti, J Gonzalez-Vargas, F Resquin, I Dimbwadyo, L Carrasco, L Torres, J Ibanez
Reaching and grasping are two of the most affected functions after stroke. Hybrid rehabilitation systems combining Functional Electrical Stimulation with Robotic devices have been proposed in the literature to improve rehabilitation outcomes. In this work, we present the combined use of a hybrid robotic system with an EEG-based Brain-Machine Interface to detect the user's movement intentions to trigger the assistance. The platform has been tested in a single session with a stroke patient. The results show how the patient could successfully interact with the BMI and command the assistance of the hybrid system with low latencies...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227968/limb-position-robust-classification-of-myoelectric-signals-for-prosthesis-control-using-sparse-representations
#19
Joseph L Betthauser, Christopher L Hunt, Luke E Osborn, Rahul R Kaliki, Nitish V Thakor, Joseph L Betthauser, Christopher L Hunt, Luke E Osborn, Rahul R Kaliki, Nitish V Thakor, Luke E Osborn, Christopher L Hunt, Nitish V Thakor, Rahul R Kaliki, Joseph L Betthauser
The fundamental objective in non-invasive myoelectric prosthesis control is to determine the user's intended movements from corresponding skin-surface recorded electromyographic (sEMG) activation signals as quickly and accurately as possible. Linear Discriminant Analysis (LDA) has emerged as the de facto standard for real-time movement classification due to its ease of use, calculation speed, and remarkable classification accuracy under controlled training conditions. However, performance of cluster-based methods like LDA for sEMG pattern recognition degrades significantly when real-world testing conditions do not resemble the trained conditions, limiting the utility of myoelectrically controlled prosthesis devices...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227966/real-time-evaluation-of-a-myoelectric-control-method-for-high-level-upper-limb-amputees-based-on-homologous-leg-movements
#20
Kenneth R Lyons, Sanjay S Joshi, Kenneth R Lyons, Sanjay S Joshi, Sanjay S Joshi, Kenneth R Lyons
Electromyography-based gesture classification methods for control of advanced upper limb prostheses are limited either to individuals with amputations distal to the elbow or to those willing to undergo targeted muscle reinnervation surgery. Based on the natural similarity between gestures of the lower leg and the arm and on established methods in electromyography-based gesture classification, we propose a noninvasive system with which users control an upper limb prosthesis via homologous movements of the leg and foot...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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