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https://www.readbyqxmd.com/read/28228007/unit-with-fluidized-bed-for-gas-vapor-activation-of-different-carbonaceous-materials-for-various-purposes-design-computation-implementation
#1
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/28227993/modeling-fiber-like-conductivity-structures-via-the-boundary-element-method-using-thin-wire-approximation-i-construction-of-basis-functions
#2
Sergey N Makarov, Alvaro Pascual-Leone, Aapo Nummenmaa, Sergey N Makarov, Alvaro Pascual-Leone, Aapo Nummenmaa, Aapo Nummenmaa, Sergey N Makarov, Alvaro Pascual-Leone
A set of one-dimensional basis functions is proposed and tested in order to model a thin homogeneous fiber of a higher conductivity within a medium with a lower conductivity. This set allows us to greatly speed up computations while keeping a good accuracy for the total fiber current and the resulting charge distribution averaged over the fiber cross-section.
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227991/mr-conditional-safety-assessment-of-implanted-medical-devices-advantages-of-computational-human-phantoms
#3
James E Brown, Rui Qiang, Paul J Stadnik, Larry J Stotts, Jeffrey A Von Arx, James E Brown, Rui Qiang, Paul J Stadnik, Larry J Stotts, Jeffrey A Von Arx, Rui Qiang, Paul J Stadnik, Larry J Stotts, Jeffrey A Von Arx, James E Brown
Until recently, patients with active implantable medical devices (AIMDs) have been contraindicated for magnetic resonance imaging (MRI). Current efforts to demonstrate safety of these devices separate the interaction of the device and MRI into several hazards. For several of these hazards, computational human phantoms (CHPs) are used to provide conservative conditions for a risk-based analysis. This use of CHPs for the identification of conservative conditions provides a substantial benefit to the assessment of MR conditional safety over experimental techniques, as the evaluation of millions of test cases is possible in simulation, but impractical (due to economic constraints) and, in some cases, unethical for an experimental effort...
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
#4
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/28227989/computational-models-of-non-invasive-brain-and-spinal-cord-stimulation
#5
Pedro C Miranda, Ricardo Salvador, Cornelia Wenger, Sofia R Fernandes, Pedro C Miranda, Ricardo Salvador, Cornelia Wenger, Sofia R Fernandes, Sofia R Fernandes, Pedro C Miranda, Cornelia Wenger, Ricardo Salvador
Non-invasive brain and spinal cord stimulation techniques are increasingly used for diagnostic and therapeutic purposes. Knowledge of the spatial distribution of the induced electric field is necessary to interpret experimental results and to optimize field delivery. Since the induced electric field cannot be measured in vivo in humans, computational models play a fundamental role in determining the characteristics of the electric field. We produced computational models of the head and trunk to calculate the electric field induced in the brain and spinal cord by transcranial magnetic stimulation, transcranial direct current stimulation and transcutaneous spinal cord direct current stimulation...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227988/liver-segmentation-using-location-and-intensity-probabilistic-atlases
#6
Negar Farzaneh, Shadrokh Samavi, S M Reza Soroushmehr, Hirenkumar Patel, Samuel Habbo-Gavin, David Paul Fessell, Kevin R Ward, Kayvan Najarian, Negar Farzaneh, Shadrokh Samavi, S M Reza Soroushmehr, Hirenkumar Patel, Samuel Habbo-Gavin, David Paul Fessell, Kevin R Ward, Kayvan Najarian, Kevin R Ward, S M Reza Soroushmehr, Hirenkumar Patel, Shadrokh Samavi, Samuel Habbo-Gavin, Kayvan Najarian, David Paul Fessell, Negar Farzaneh
In a variety of injuries and illnesses, internal organs in the abdominal and pelvic regions, in particular liver, may be compromised. In the current practice, CT scans of liver are visually inspected to investigate the integrity of the organ. However, the size and complexity of the CT images limits the reliability of visual inspection to accurately assess the health of liver. Computer-aided image analysis can create fast and quantitative assessment of liver from the CT, in particular in the environments where access to skilled radiologists may be limited...
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
#7
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/28227984/preliminary-study-on-the-automated-skull-fracture-detection-in-ct-images-using-black-hat-transform
#8
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/28227980/motor-imagery-based-brain-computer-interface-using-transform-domain-features
#9
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/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/28227967/a-stimulation-driven-exoskeleton-for-walking-after-paraplegia
#11
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
#12
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/28227963/predicting-seizures-from-local-field-potentials-recorded-via-intracortical-microelectrode-arrays
#13
Mehdi Aghagolzadeh, Leigh R Hochberg, Sydney S Cash, Wilson Truccolo, Mehdi Aghagolzadeh, Leigh R Hochberg, Sydney S Cash, Wilson Truccolo, Sydney S Cash, Wilson Truccolo, Mehdi Aghagolzadeh, Leigh R Hochberg
The need for new therapeutic interventions to treat pharmacologically resistant focal epileptic seizures has led recently to the development of closed-loop systems for seizure control. Once a seizure is predicted/detected by the system, electrical stimulation is delivered to prevent seizure initiation or spread. So far, seizure prediction/detection has been limited to tracking non-invasive electroencephalogram (EEG) or intracranial EEG (iEEG) signals. Here, we examine seizure prediction based on local field potentials (LFPs) from a small neocortical patch recorded via a 10×10 microelectrode array implanted in a patient with focal seizures...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227960/automated-volumetry-for-unilateral-hippocampal-sclerosis-detection-in-patients-with-temporal-lobe-epilepsy
#14
Cristina Martins, Nadia Moreira da Silva, Guilherme Silva, Verena E Rozanski, Joao Paulo Silva Cunha, Cristina Martins, Nadia Moreira da Silva, Guilherme Silva, Verena E Rozanski, Joao Paulo Silva Cunha, Joao Paulo Silva Cunha, Guilherme Silva, Verena E Rozanski, Nadia Moreira da Silva, Cristina Martins
Hippocampal sclerosis (HS) is the most common cause of temporal lobe epilepsy (TLE) and can be identified in magnetic resonance imaging as hippocampal atrophy and subsequent volume loss. Detecting this kind of abnormalities through simple radiological assessment could be difficult, even for experienced radiologists. For that reason, hippocampal volumetry is generally used to support this kind of diagnosis. Manual volumetry is the traditional approach but it is time consuming and requires the physician to be familiar with neuroimaging software tools...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227934/effect-of-embedding-dimension-on-complexity-measures-in-identifying-arrhythmia
#15
Radhagayathri K Udhayakumar, Chandan Karmakar, Peng Li, Marimuthu Palaniswami, Radhagayathri K Udhayakumar, Chandan Karmakar, Peng Li, Marimuthu Palaniswami, Marimuthu Palaniswami, Radhagayathri K U Udhayakumar, Peng Li, Chandan Karmakar
Entropy measures like Approximate entropy (ApEn) and Sample entropy (SampEn) are well established tools to analyze Heart Rate Variability (HRV) data. Critical parameters involved in these computations namely embedding dimension m and tolerance r are in most cases assumed to be 2 and 0.2*signal SD (standard devaition) respectively. Such assumptions do not work fairly across data sets and thus create misleading results in many cases. Problems with r have been addressed with the advent of newer entropy measures like Permutation entropy (PE), Fuzzy entropy (FuzzyEn) and Distribution entropy (DistEn) that simply eliminate, modify or replace r from calculations...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227926/a-fast-approximation-method-for-principal-component-analysis-applied-to-ecg-derived-respiration-for-osa-detection
#16
Nadi Sadr, Philip de Chazal, Nadi Sadr, Philip de Chazal, Nadi Sadr, Philip de Chazal
In this paper, we present an approximation method for principal component analysis (PCA) and apply it to estimating the respiration from the overnight ECG signal. The approximation method is computationally fast with low memory requirements. We compare it to a full PCA method which is applied to segments of the ECG. Features were calculated from the two ECG derived respiration signals (EDR) and classifiers trained to detect obstructive sleep apnoea (OSA). The Extreme Learning Machine and Linear Discriminant classifier were used to classify the recordings...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227903/development-of-a-detailed-model-of-calcium-dynamics-at-the-postsynaptic-spine-of-an-excitatory-synapse
#17
Eric Y Hu, Jean-Marie C Bouteiller, Dong Song, Theodore W Berger, Eric Y Hu, Jean-Marie C Bouteiller, Dong Song, Theodore W Berger, Jean-Marie C Bouteiller, Eric Y Hu, Dong Song, Theodore W Berger
Postsynaptic calcium dynamics play a critical role in synaptic plasticity, but are often difficult to measure in experimental protocols due to their relatively fast rise and decay times, and the small spine dimensions. To circumvent these limitations, we propose to develop a computational model of calcium dynamics in the postsynaptic spine. This model integrates the main elements that participate in calcium concentration influx, efflux, diffusion and buffering. These consist of (i) spine geometry; (ii) calcium influx through NMDA receptors and voltage-dependent calcium channels (VDCC); (iii) calcium efflux with plasma membrane calcium pumps (PMCA) and sodium-calcium exchangers (NCX); (iv) intracellular calcium stores; and (v) calcium buffers...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227890/in-vitro-identification-of-shoulder-joint-and-muscle-dynamics-based-on-motion-capture-and-musculoskeletal-computation
#18
Akihiko Murai, Yusuke Kawano, Ko Ayusawa, Mitsunori Tada, Noboru Matsumura, Takeo Nagura, Akihiko Murai, Yusuke Kawano, Ko Ayusawa, Mitsunori Tada, Noboru Matsumura, Takeo Nagura
Dynamics properties of shoulder joint and muscle are experimentally identified under different musculoskeletal conditions for a digital human model with accurate dynamics. Passive swing motions of scapula and upper limb bones in cadaveric specimen with and without muscles are measured by an optical motion capture system. External forces that are applied to the scapula bone are simultaneously measured by a force plate. The dynamics identification process consists of 3 steps: 1) identify the inertial parameters of the cadaveric specimen with and without muscles respectively, 2) identify the viscosity of the glenohumeral joint from the specimen without muscles, and 3) identify the viscosity of the shoulder muscles from the specimen with muscles and the identified joint viscosity...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227889/shape-memory-alloy-smart-knee-spacer-to-enhance-knee-functionality-model-design-and-finite-element-analysis
#19
Arvind Gautam, A Bhargavi Rani, Miguel A Callejas, Swati Ghosh Acharyya, Amit Acharyya, Dwaipayan Biswas, Vasundhra Bhandari, Paresh Sharma, Ganesh R Naik, Arvind Gautam, A Bhargavi Rani, Miguel A Callejas, Swati Ghosh Acharyya, Amit Acharyya, Dwaipayan Biswas, Vasundhra Bhandari, Paresh Sharma, Ganesh R Naik, Swati Ghosh Acharyya, Paresh Sharma, Vasundhra Bhandari, A Bhargavi Rani, Arvind Gautam, Dwaipayan Biswas, Miguel A Callejas, Amit Acharyya
In this paper we introduce Shape Memory Alloy (SMA) for designing the tibial part of Total Knee Arthroplasty (TKA) by exploiting the shape-memory and pseudo-elasticity property of the SMA (e.g. NiTi). This would eliminate the drawbacks of the state-of-the art PMMA based knee-spacer including fracture, sustainability, dislocation, tilting, translation and subluxation for tackling the Osteoarthritis especially for the aged people of 45-plus or the athletes. In this paper a Computer Aided Design (CAD) model using SolidWorks for the knee-spacer is presented based on the proposed SMA adopting the state-of-the art industry-standard geometry that is used in the PMMA based spacer design...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227887/hip-joint-geometry-effects-on-cartilage-contact-stresses-during-a-gait-cycle
#20
Hui-Hui Wu, Dong Wang, An-Bang Ma, Dong-Yun Gu, Hui-Hui Wu, Dong Wang, An-Bang Ma, Dong-Yun Gu, An-Bang Ma, Dong-Yun Gu, Hui-Hui Wu, Dong Wang
The cartilage surface geometry of natural human hip joint is commonly regarded as sphere. It has been widely applied in computational simulation and hip joint prosthesis design. Some new geometry models have been developed and the sphere assumption has been questioned recently. The objective of this study was to analyze joint geometry effects on cartilage contact stress distribution and investigate contact patterns during a whole gait cycle. Hip surface was reconstructed from CT data of a healthy volunteer...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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