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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
#1
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/28228007/unit-with-fluidized-bed-for-gas-vapor-activation-of-different-carbonaceous-materials-for-various-purposes-design-computation-implementation
#2
Eugene Strativnov
We propose the technology of obtaining the promising material with wide specter of application-activated nanostructured carbon. In terms of technical indicators, it will stand next to the materials produced by complex regulations with the use of costly chemical operations. It can be used for the following needs: as a sorbent for hemosorption and enterosorption, for creation of the newest source of electric current (lithium and zinc air batteries, supercapacitors), and for processes of short-cycle adsorption gas separation...
December 2017: Nanoscale Research Letters
https://www.readbyqxmd.com/read/28228004/self-rectifying-resistive-switching-memory-with-ultralow-switching-current-in-pt-ta2o5-hfo2-x-hf-stack
#3
Haili Ma, Jie Feng, Hangbing Lv, Tian Gao, Xiaoxin Xu, Qing Luo, Tiancheng Gong, Peng Yuan
In this study, we present a bilayer resistive switching memory device with Pt/Ta2O5/HfO2-x /Hf structure, which shows sub-1 μA ultralow operating current, median switching voltage, adequate ON/OFF ratio, and simultaneously containing excellent self-rectifying characteristics. The control sample with single HfO2-x structure shows bidirectional memory switching properties with symmetrical I-V curve in low resistance state. After introducing a 28-nm-thick Ta2O5 layer on HfO2-x layer, self-rectifying phenomena appeared, with a maximum self-rectifying ratio (RR) of ~4 × 10(3) observed at ±0...
December 2017: Nanoscale Research Letters
https://www.readbyqxmd.com/read/28228001/fabrication-of-progesterone-loaded-nanofibers-for-the-drug-delivery-applications-in-bovine
#4
Chitra Karuppannan, Mehnath Sivaraj, J Ganesh Kumar, Rangasamy Seerangan, S Balasubramanian, Dhinakar Raj Gopal
Progesterone is a potent drug for synchronization of the estrus and ovulation cycles in bovine. At present, the estrus cycle of bovine is controlled by the insertion of progesterone-embedded silicone bands. The disadvantage of nondegradable polymer inserts is to require for disposal of these bands after their use. The study currently focuses on preparation of biodegradable progesterone-incorporated nanofiber for estrus synchronization. Three different concentrations (1.2, 1.9, and 2.5 g) of progesterone-impregnated nanofibers were fabricated using electrospinning...
December 2017: Nanoscale Research Letters
https://www.readbyqxmd.com/read/28227995/comparison-of-pulse-wave-velocity-derived-from-accelerometer-and-reflective-photo-plethysmography-signals-placed-at-the-carotid-and-femoral-artery
#5
Jens Muehlsteff, Erik Bresch, Lars Schmitt, Jos Gelissen, Peter Bingley, Jens Muehlsteff, Erik Bresch, Lars Schmitt, Jos Gelissen, Peter Bingley, Jos Gelissen, Peter Bingley, Lars Schmitt, Jens Muehlsteff, Erik Bresch
Carotid - femoral pulse wave velocity is an established measure to assess cardiovascular risk and an interesting surrogate parameter towards non-invasive continuous blood pressure inference. Due to progress in sensing technologies for wearable wrist worn sensors, there are low cost sensor combinations of photo-plethysmography and high fidelity accelerometers available offering access to pulse information from larger arteries complemented by blood volume changes in the superficial tissue. In this work we compare pulse wave velocities derived from accelerometer and reflective photo-plethysmography signals placed at the carotid and femoral artery...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227990/using-computational-phantoms-to-improve-delivery-of-tumor-treating-fields-ttfields-to-patients
#6
Ze'ev Bomzon, Hadas Sara Hershkovich, Noa Urman, Aafia Chaudhry, Dario Garcia-Carracedo, Anders R Korshoej, Uri Weinberg, Cornelia Wenger, Pedro Miranda, Yoram Wasserman, Eilon D Kirson, Yoram, Ze'ev Bomzon, Hadas Sara Hershkovich, Noa Urman, Aafia Chaudhry, Dario Garcia-Carracedo, Anders R Korshoej, Uri Weinberg, Cornelia Wenger, Pedro Miranda, Yoram Wasserman, Eilon D Kirson, Yoram, Uri Weinberg, Cornelia Wenger, Noa Urman, Hadas Sara Hershkovich, Yoram Wasserman, Anders R Korshoej, Eilon D Kirson, Dario Garcia-Carracedo, Pedro Miranda, Aafia Chaudhry, Zeev Bomzon, Yoram
This paper reviews the state-of-the-art in simulation-based studies of Tumor Treating Fields (TTFields) and highlights major aspects of TTFields in which simulation-based studies could affect clinical outcomes. A major challenge is how to simulate multiple scenarios rapidly for TTFields delivery. Overcoming this challenge will enable a better understanding of how TTFields distribution is correlated with disease progression, leading to better transducer array designs and field optimization procedures, ultimately improving patient outcomes...
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
#7
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
#8
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
#9
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/28227979/dispersion-entropy-for-the-analysis-of-resting-state-meg-regularity-in-alzheimer-s-disease
#10
Hamed Azami, Mostafa Rostaghi, Alberto Fernandez, Javier Escudero, Hamed Azami, Mostafa Rostaghi, Alberto Fernandez, Javier Escudero, Alberto Fernandez, Javier Escudero, Mostafa Rostaghi, Hamed Azami
Alzheimer's disease (AD) is a progressive degenerative brain disorder affecting memory, thinking, behaviour and emotion. It is the most common form of dementia and a big social problem in western societies. The analysis of brain activity may help to diagnose this disease. Changes in entropy methods have been reported useful in research studies to characterize AD. We have recently proposed dispersion entropy (DisEn) as a very fast and powerful tool to quantify the irregularity of time series. The aim of this paper is to evaluate the ability of DisEn, in comparison with fuzzy entropy (FuzEn), sample entropy (SampEn), and permutation entropy (PerEn), to discriminate 36 AD patients from 26 elderly control subjects using resting-state magnetoencephalogram (MEG) signals...
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
#11
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/28227973/improving-odorant-chemical-class-prediction-with-multi-layer-perceptrons-using-temporal-odorant-spike-responses-from-drosophila-melanogaster-olfactory-receptor-neurons
#12
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
#13
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/28227969/effects-of-lower-limb-electrical-stimulation-on-trunk-stability-in-persons-with-sci-during-walking-a-case-series
#14
Kamyar Momeni, Stephen Canton, Arvind Ramanujam, Erica Garbarini, Gail F Forrest, Kamyar Momeni, Stephen Canton, Arvind Ramanujam, Erica Garbarini, Gail F Forrest, Arvind Ramanujam, Gail F Forrest, Kamyar Momeni, Stephen Canton, Erica Garbarini
The purpose of the present case series was to investigate whether three lower limb rehabilitation training approaches have any effects on trunk stability of persons with motor complete SCI during a 10-minute assisted walk. These trainings included electrical stimulation (ES), standing retraining (SRT), and a novel multi-modality approach that combined ES with SRT. We observed that multi-muscle ES directed at the lower limbs had a prominent, indirect effect on the upper and lower muscles of the trunk. More specifically, trunk muscle activations of the ES+SRT subject increased after training for the more distal muscles of the trunk...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227967/a-stimulation-driven-exoskeleton-for-walking-after-paraplegia
#15
Sarah R Chang, Mark J Nandor, Lu Li, Kevin M Foglyano, John R Schnellenberger, Rudi Kobetic, Roger D Quinn, Ronald J Triolo, Sarah R Chang, Mark J Nandor, Lu Li, Kevin M Foglyano, John R Schnellenberger, Rudi Kobetic, Roger D Quinn, Ronald J Triolo, Mark J Nandor, Rudi Kobetic, Roger D Quinn, John R Schnellenberger, Sarah R Chang, Kevin M Foglyano, Lu Li, Ronald J Triolo
An untethered version of a stimulation-driven exoskeleton was evaluated for its ability to restore walking after paralysis from spinal cord injury. The hybrid neuroprosthesis (HNP) combined a passive variable-constraint exoskeleton for stability and support with functional neuromuscular stimulation (FNS) to contract the paralyzed muscles to drive limb movement. This self-contained HNP was operated by an onboard controller that sampled sensor signals, generated appropriate commands to both the exoskeletal constraints and integrated stimulator, and transmitted data wirelessly via Bluetooth to an off-board computer for real-time monitoring and recording for offline analysis...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227964/cross-entropy-optimization-for-neuromodulation
#16
Harleen K Brar, Yunpeng Pan, Babak Mahmoudi, Evangelos A Theodorou, Harleen K Brar, Yunpeng Pan, Babak Mahmoudi, Evangelos A Theodorou, Yunpeng Pan, Harleen K Brar, Babak Mahmoudi, Evangelos A Theodorou
This study presents a reinforcement learning approach for the optimization of the proportional-integral gains of the feedback controller represented in a computational model of epilepsy. The chaotic oscillator model provides a feedback control systems view of the dynamics of an epileptic brain with an internal feedback controller representative of the natural seizure suppression mechanism within the brain circuitry. Normal and pathological brain activity is simulated in this model by adjusting the feedback gain values of the internal controller...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227952/smartstuff-a-case-study-of-a-smart-water-bottle
#17
Emil Jovanov, Vindhya R Nallathimmareddygari, Jonathan E Pryor, Emil Jovanov, Vindhya R Nallathimmareddygari, Jonathan E Pryor, Vindhya R Nallathimmareddygari, Emil Jovanov, Jonathan E Pryor
The rapid growth of Internet of Things (IoT) and miniature wearable biosensors have generated new opportunities for personalized eHealth and mHealth services. Smart objects equipped with physiological sensors can provide robust monitoring of activities of daily living and context for wearable physiological sensors. We present a case study of an intelligent water bottle that can precisely measure the amount of liquid in the bottle, monitor activity using inertial sensors, and physiological parameters using a touch and photoplethysmographic sensor...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227950/designing-and-testing-a-wearable-wireless-fnirs-patch
#18
Mohammadreza Abtahi, Gozde Cay, Manob Jyoti Saikia, Kunal Mankodiya, Mohammadreza Abtahi, Gozde Cay, Manob Jyoti Saikia, Kunal Mankodiya, Manob Jyoti Saikia, Kunal Mankodiya, Gozde Cay, Mohammadreza Abtahi
Optical brain monitoring using near infrared (NIR) light has got a lot of attention in order to study the complexity of the brain due to several advantages as oppose to other methods such as EEG, fMRI and PET. There are a few commercially available functional NIR spectroscopy (fNIRS) brain monitoring systems, but they are still non-wearable and pose difficulties in scanning the brain while the participants are in motion. In this work, we present our endeavors to design and test a low-cost, wireless fNIRS patch using NIR light sources at wavelengths of 770 and 830nm, photodetectors and a microcontroller to trigger the light sources, read photodetector's output and transfer data wirelessly (via Bluetooth) to a smart-phone...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227946/analysis-of-effective-sit-to-stand-therapy-using-kinematic-synergies
#19
Bryan Lao, Tomoya Tamei, Kazushi Ikeda, Bryan Lao, Tomoya Tamei, Kazushi Ikeda, Tomoya Tamei, Bryan Lao, Kazushi Ikeda
Understanding effective sit-to-stand (STS) movement is essential for improving rehabilitation strategies and developing services for the rapidly increasing number of elderly people. This study aims at identifying effective STS therapy by analyzing the kinematic synergies of movements induced by therapists of different skill-levels. Three synergies were found to share the same temporal pattern in both joint angles and center-of-mass spaces across all therapists. Effective strategy used by a skilled therapist and strategy flaws of less-experienced therapists were revealed through comparison of spatial patterns...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227944/classification-of-squat-quality-with-inertial-measurement-units-in-the-single-leg-squat-mobility-test
#20
Rezvan Kianifar, Alex Lee, Sachin Raina, Dana Kulic, Rezvan Kianifar, Alex Lee, Sachin Raina, Dana Kulic, Alex Lee, Sachin Raina, Dana Kulic, Rezvan Kianifar
Many assessment and diagnosis protocols in rehabilitation, orthopedic surgery and sports medicine rely on mobility tests like the Single Leg Squat (SLS). In this study, a set of three Inertial Measurement Units (IMUs) were used to estimate the joint pose during SLS and to classify the SLS as poor, moderate or good. An Extended Kalman Filter pose estimation method was used to estimate kinematic joint variables, and time domain features were generated based on these variables. The most important features were then selected and used to train Support Vector Machine (SVM), Linear Multinomial Logistic Regression, and Decision Tree classifiers...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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