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https://www.readbyqxmd.com/read/28227883/development-and-validation-of-thums-version-5-with-1d-muscle-models-for-active-and-passive-automotive-safety-research
#1
Hideyuki Kimpara, Yuko Nakahira, Masami Iwamoto, Hideyuki Kimpara, Yuko Nakahira, Masami Iwamoto, Hideyuki Kimpara, Masami Iwamoto, Yuko Nakahira
Accurately predicting the occupant kinematics is critical to better understand the injury mechanisms during an automotive crash event. The objectives of this study were to develop and validate a finite element (FE) model of the human body integrated with an active muscle model called Total HUman Model for Safety (THUMS) version 5, which has the body size of the 50th percentile American adult male (AM50). This model is characterized by being able to generate a force owing to muscle tone and to predict the occupant response during an automotive crash event...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227874/cluster-based-architecture-and-network-maintenance-protocol-for-medical-priority-aware-cognitive-radio-based-hospital
#2
Ishtiak Al Mamoon, A K M Muzahidul Islam, Sabariah Baharun, Ashir Ahmed, Shozo Komaki, Ishtiak Al Mamoon, A K M Muzahidul Islam, Sabariah Baharun, Ashir Ahmed, Shozo Komaki, Ishtiak Al Mamoon, Shozo Komaki, Ashir Ahmed, A K M Muzahidul Islam, Sabariah Baharun
Due to the rapid growth of wireless medical devices in near future, wireless healthcare services may face some inescapable issue such as medical spectrum scarcity, electromagnetic interference (EMI), bandwidth constraint, security and finally medical data communication model. To mitigate these issues, cognitive radio (CR) or opportunistic radio network enabled wireless technology is suitable for the upcoming wireless healthcare system. The up-to-date research on CR based healthcare has exposed some developments on EMI and spectrum problems...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227835/multi-chip-dataflow-architecture-for-massive-scale-biophysically-accurate-neuron-simulation
#3
Jaco Hofmann, Amir Zjajo, Carlo Galuzzi, Rene van Leuken, Jaco Hofmann, Amir Zjajo, Carlo Galuzzi, Rene van Leuken, Carlo Galuzzi, Rene Van Leuken, Jaco Hofmann, Amir Zjajo
State-of-the-art neuron simulators are capable of simulating at most few tens/hundreds of neurons in real-time due to the exponential growth in the communication costs with the number of simulated neurons. In this paper, we present a novel, reconfigurable, multi-chip system architecture based on localized communication, which effectively reduces the communication cost to a linear growth. The system is very flexible and it allows to tune, at run-time, various parameters, e.g. the intracellular concentration of chemical compounds, the interconnection scheme between the neurons...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227816/a-wide-range-and-high-sensitivity-four-channel-compact-electrochemical-biosensor-for-neurotransmitter-detection-on-a-microfluidic-platform
#4
Elnaz Ghodsevali, Hamza Landari, Mounir Boukadoum, Benoit Gosselin, Amine Miled, Elnaz Ghodsevali, Hamza Landari, Mounir Boukadoum, Benoit Gosselin, Amine Miled, Benoit Gosselin, Amine Miled, Elnaz Ghodsevali, Mounir Boukadoum, Hamza Landari
We present a four-channel, high-sensitivity and linearity electrochemical biosensor for neurotransmitter (NT) detection and measurement. Using a multi-channel microfluidic platform makes this biosensor capable of detecting NT-related currents going from nanoamperes to milliamperes, with a sensitivity of the order of picoamperes. Moreover, by using a fully differential potentiostat architecture, the biosensor offers a high common-mode rejection ratio (90 dB), making it appropriate for low-noise and high-sensitive applications...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227814/embedded-cmos-basecalling-for-nanopore-dna-sequencing
#5
Chengjie Wang, Junli Zheng, Sebastian Magierowski, Ebrahim Ghafar-Zadeh, Chengjie Wang, Junli Zheng, Sebastian Magierowski, Ebrahim Ghafar-Zadeh, Junli Zheng, Chengjie Wang, Ebrahim Ghafar-Zadeh, Sebastian Magierowski
DNA sequencing based on nanopore sensors is now entering the marketplace. The ability to interface this technology to established CMOS microelectronics promises significant improvements in functionality and miniaturization. Among the key functions to benefit from this interface will be basecalling, the conversion of raw electronic molecular signatures to nucleotide sequence predictions. This paper presents the design and performance potential of custom CMOS base-callers embedded alongside nanopore sensors. A basecalliing architecture implemented in 32-nm technology is discussed with the ability to process the equivalent of 20 human genomes per day in real-time at a power density of 5 W/cm(2) assuming a 3-mer nanopore sensor...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227725/gistelemed-an-online-based-gis-approach-to-epidemiological-analysis-in-telemedicine-systems
#6
Andrei de Souza Inacio, Alexandre Savaris, Joao Marcus Alves, Aldo von Wangenheim, Andrei de Souza Inacio, Alexandre Savaris, Joao Marcus Alves, Aldo von Wangenheim, Andrei De Souza Inacio, Joao Marcus Alves, Aldo Von Wangenheim, Alexandre Savaris
Large-scale telemedicine systems provide extensive amounts of data that can be used to gather epidemiological information. Epidemiologists have been using GIS systems for the easy and quick visualization of data and to perform georeferenced epidemiological analysis. This paper presents GISTelemed, a georeferenced epidemiological analysis tool developed as part of the Santa Catarina State Integrated Telemedicine and Telehealth System (STT/SC), a statewide telemedicine infrastructure in Brazil. The GISTelemed module offers an architecture supporting real-time recovery, information visualization and epidemiological analysis from structured and semi-structured data...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227672/robot-assisted-microsurgical-forceps-with-haptic-feedback-for-transoral-laser-microsurgery
#7
Nikhil Deshpande, Manish Chauhan, Claudio Pacchierotti, Domenico Prattichizzo, Darwin G Caldwell, Leonardo S Mattos, Nikhil Deshpande, Manish Chauhan, Claudio Pacchierotti, Domenico Prattichizzo, Darwin G Caldwell, Leonardo S Mattos, Darwin G Caldwell, Leonardo S Mattos, Nikhil Deshpande, Domenico Prattichizzo, Manish Chauhan, Claudio Pacchierotti
In this paper, a novel, motorized, multi-degrees-of-freedom (DoF), microsurgical forceps tool is presented, which is based on a master-slave teleoperation architecture. The slave device is a 7-DoF manipulator with: (i) 6-DoF positioning and orientation, (ii) 1 open/close gripper DoF; and (iii) an integrated force/torque sensor for tissue grip-force measurement. The master device is a 7-DoF haptic interface which teleoperates the slave device, and provides haptic feedback in its gripper interface. The combination of the device and the surgeon interface replaces the manual, hand-held device providing easy-to-use and ergonomic tissue control, simplifying the surgical tasks...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227670/diffuse-reflectance-spectroscopy-can-differentiate-high-grade-and-low-grade-prostatic-carcinoma
#8
Priya N Werahera, Edward A Jasion, E David Crawford, M Scott Lucia, Adrie van Bokhoven, Holly T Sullivan, Fernando J Kim, Paul D Maroni, J David Port, John W Daily, Francisco G La Rosa, Priya N Werahera, Edward A Jasion, E David Crawford, M Scott Lucia, Adrie van Bokhoven, Holly T Sullivan, Fernando J Kim, Paul D Maroni, J David Port, John W Daily, Francisco G La Rosa, John W Daily, Adrie Van Bokhoven, E David Crawford, J David Port, Priya N Werahera, M Scott Lucia, Holly T Sullivan, Paul D Maroni, Edward A Jasion, Francisco G La Rosa, Fernando J Kim
Prostate tumors are graded by the revised Gleason Score (GS) which is the sum of the two predominant Gleason grades present ranging from 6-10. GS 6 cancer exclusively with Gleason grade 3 is designated as low grade (LG) and correlates with better clinical prognosis for patients. GS >7 cancer with at least one of the Gleason grades 4 and 5 is designated as HG indicate worse prognosis for patients. Current transrectal ultrasound guided prostate biopsies often fail to correctly diagnose HG prostate cancer due to sampling errors...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227665/hardware-design-for-a-cable-free-fully-insertable-wireless-laparoscopic-robotic-camera
#9
Ning Li, Gregory J Mancini, Jindong Tan, Ning Li, Gregory J Mancini, Jindong Tan, Gregory J Mancini, Ning Li, Jindong Tan
The field of insertable laparoscopic robotic camera is gaining increasing attentions from researchers, surgeons, and also patients. Although many insertable laparoscope prototypes have been introduced, few of them get rid of the encumbrance tethering cable. In this paper, we proposed a hardware architecture for a magnetic actuated robotic surgical (MARS) camera, which facilitates a cable-free fully insertable laparoscopic surgical robotic camera with adequate in-vivo mobility. Modular design and preliminary test of on-board functional payloads have shown feasibility of a cable-free insertable wireless laparoscopic surgical camera based on off-the-shelf electronics and industrial wireless standards operating in ISM frequency bands at 2...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227634/design-and-validation-of-a-wearable-drl-less-eeg-using-a-novel-fully-reconfigurable-architecture
#10
Ruhi Mahajan, Bashir I Morshed, Gavin M Bidelman, Ruhi Mahajan, Bashir I Morshed, Gavin M Bidelman, Bashir I Morshed, Ruhi Mahajan, Gavin M Bidelman
The conventional EEG system consists of a driven-right-leg (DRL) circuit, which prohibits modularization of the system. We propose a Lego-like connectable fully reconfigurable architecture of wearable EEG that can be easily customized and deployed at naturalistic settings for collecting neurological data. We have designed a novel Analog Front End (AFE) that eliminates the need for DRL while maintaining a comparable signal quality of EEG. We have prototyped this AFE for a single channel EEG, referred to as Smart Sensing Node (SSN), that senses brain signals and sends it to a Command Control Node (CCN) via an I(2)C bus...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227616/contactless-on-bed-activity-sensing-using-first-reflection-echolocation
#11
Henry Griffith, Yan Shi, Subir Biswas, Henry Griffith, Yan Shi, Subir Biswas, Henry Griffith, Subir Biswas, Yan Shi
A novel system capable of detecting on-bed activity during sleep using first-reflection ultrasonic echolocation is described herein. As is employed in many existing solutions, such activity detection may be utilized in the assessment of sleep quality. Compared to current approaches using either wearable devices or sensors collocated on the surface of the bed, the proposed architecture greatly enhances convenience for the end-user by providing minimal disruptions to his or her standard sleep routine. A series of experiments were conducted in order to investigate the capacity of the system to detect activity during sleep...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227435/gelatin-methacrylamide-hydrogel-with-graphene-nanoplatelets-for-neural-cell-laden-3d-bioprinting
#12
Wei Zhu, Brent T Harris, Lijie Grace Zhang, Wei Zhu, Brent T Harris, Lijie Grace Zhang, Wei Zhu, Brent T Harris, Lijie Grace Zhang
Nervous system is extremely complex which leads to rare regrowth of nerves once injury or disease occurs. Advanced 3D bioprinting strategy, which could simultaneously deposit biocompatible materials, cells and supporting components in a layer-by-layer manner, may be a promising solution to address neural damages. Here we presented a printable nano-bioink composed of gelatin methacrylamide (GelMA), neural stem cells, and bioactive graphene nanoplatelets to target nerve tissue regeneration in the assist of stereolithography based 3D bioprinting technique...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227382/a-new-approach-for-the-detection-of-architectural-distortions-using-textural-analysis-of-surrounding-tissue
#13
Imad Zyout, Roberto Togneri, Imad Zyout, Roberto Togneri, Roberto Togneri, Imad Zyout
Aiming at improving the performance of computer-aided detection of architectural distortion (AD) in mammograms, this paper investigates whether textural patterns of AD surrounding tissue (ST) have the potential to detect AD signatures. More specifically, for characterizing the presence of AD; we investigated the application of textural analysis for discriminating between AD surrounding tissue and normal breast parenchyma. We evaluated the underlying hypothesis using a dataset of 2544 regions of interest (ROI) obtained from the Digital Database for Screening Mammography (DDSM)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227380/efficient-rendering-of-digitally-reconstructed-radiographs-on-heterogeneous-computing-architectures-using-central-slice-theorem
#14
Marwan Abdellah, Mohamed Abdallah, Mohamed Alzanati, Ayman Eldeib, Marwan Abdellah, Mohamed Abdallah, Mohamed Alzanati, Ayman Eldeib, Ayman Eldeib, Mohamed Abdallah, Mohamed Alzanati, Marwan Abdellah
Digitally reconstructed radiographs (DRRs) play a significant role in modern clinical radiation therapy. They are used to verify patient alignments during image guided therapies with 2D-3D image registration. The generation of DRRs can be implemented intuitively in O(N(3)) relying on direct volume rendering (DVR) methods, such as ray marching. This complexity imposes certain limitations on the rendering performance if high quality DRR images are needed. Those DRRs can be alternatively generated in the k-space using the central slice theorem in O(N(2)logN)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227280/a-low-power-level-crossing-adc-for-wearable-wireless-ecg-sensors
#15
Zhenzhen Tian, Rendong Ying, Peilin Liu, Guoxing Wang, Yong Lian, Zhenzhen Tian, Rendong Ying, Peilin Liu, Guoxing Wang, Yong Lian, Yong Lian, Peilin Liu, Guoxing Wang, Zhenzhen Tian, Rendong Ying
Ultra-low power consumption is desired in most wearable biomedical devices. The event-driven based Analog-to-Digital converter (ADC) could be an excellent candidate for low power system because of the reduction in sampling points for biosignals. In the existing event-driven based ADC architectures, two or more high precision comparators are utilized to sample the input signal. In this paper, we propose a new scheme utilizing only one high precision comparator to genertate samples with the assistance of a low precision one...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227264/sleep-architecture-measurement-based-on-cardiorespiratory-parameters
#16
Alexander Tataraidze, Lyudmila Korostovtseva, Lesya Anishchenko, Mikhail Bochkarev, Yurii Sviryaev, Alexander Tataraidze, Lyudmila Korostovtseva, Lesya Anishchenko, Mikhail Bochkarev, Yurii Sviryaev, Mikhail Bochkarev, Yurii Sviryaev, Lesya Anishchenko, Lyudmila Korostovtseva, Alexander Tataraidze
This paper presents a method for the detection of wakeful state, rapid eye movement sleep (REM), light sleep (N1&N2) and deep sleep (N3&N4) based on cardiorespiratory parameters. Experiments were conducted with data of 625 subjects without sleep-disordered breathing selected from the SHHS dataset. Compared to previous studies, our method considers results of neighboring epochs classification and epoch position over record time. The method demonstrates Cohen's kappa of 0.57 ± 0.13 and the accuracy of 71.4 ± 8...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227166/modeling-distinct-sources-of-neural-variability-driving-neuroprosthetic-control
#17
Preeya Khanna, Vivek R Athalye, Suraj Gowda, Rui M Costa, Jose M Carmena, Preeya Khanna, Vivek R Athalye, Suraj Gowda, Rui M Costa, Jose M Carmena, Jose M Carmena, Vivek R Athalye, Rui M Costa, Preeya Khanna, Suraj Gowda
Many closed-loop, continuous-control brain-machine interface (BMI) architectures rely on decoding via a linear readout of noisy population neural activity. However, recent work has found that decomposing neural population activity into correlated and uncorrelated variability reveals that improvements in cursor control coincide with the emergence of correlated neural variability. In order to address how correlated and uncorrelated neural variability arises and contributes to BMI cursor control, we simulate a neural population receiving combinations of shared inputs affecting all cells and private inputs affecting only individual cells...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227160/on-the-capacity-of-diffusion-based-molecular-communications-with-sinw-fet-based-receiver
#18
Murat Kuscu, Ozgur B Akan, Murat Kuscu, Ozgur B Akan, Ozgur B Akan, Murat Kuscu
Molecular communication (MC) is a bio-inspired communication method based on the exchange of molecules for information transfer among nanoscale devices. Although MC has been extensively studied from various aspects, limitations imposed by the physical design of transceiving units have been largely neglected in the literature. Recently, we have proposed a nanobioelectronic MC receiver architecture based on the nanoscale field effect transistor-based biosensor (bioFET) technology, providing noninvasive and sensitive molecular detection at nanoscale while producing electrical signals at the output...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227149/automated-and-reconfigurable-platform-for-niosome-generation-based-on-a-microfluidic-architecture
#19
Frederic Tessier, Myriam Laprise-Pelletier, Eric Boilard, Marc-Andre Fortin, Amine Miled, Frederic Tessier, Myriam Laprise-Pelletier, Eric Boilard, Marc-Andre Fortin, Amine Miled, Marc-Andre Fortin, Eric Boilard, Amine Miled, Frederic Tessier, Myriam Laprise-Pelletier
Drug delivery at the nano-scale is becoming an important topic in nano and regenerative medicine as it can offer a very localized therapy. Therefore, niosomes are one of the most important vehicles to release drug at the nanoscale. In this paper, we present a new automated microsystem for niosome generation on-demand. Used niosome were based on a mixture of cholesterol and dicetyl phosphate with chloroform. Three compact micropumps are connected to a microfluidic substrate in order to generate 100 nm noisome vesicles...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227141/deep-neural-network-architectures-for-forecasting-analgesic-response
#20
Paul Nickerson, Patrick Tighe, Benjamin Shickel, Parisa Rashidi, Paul Nickerson, Patrick Tighe, Benjamin Shickel, Parisa Rashidi, Parisa Rashidi, Paul Nickerson, Patrick Tighe, Benjamin Shickel
Response to prescribed analgesic drugs varies between individuals, and choosing the right drug/dose often involves a lengthy, iterative process of trial and error. Furthermore, a significant portion of patients experience adverse events such as post-operative urinary retention (POUR) during inpatient management of acute postoperative pain. To better forecast analgesic responses, we compared conventional machine learning methods with modern neural network architectures to gauge their effectiveness at forecasting temporal patterns of postoperative pain and analgesic use, as well as predicting the risk of POUR...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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