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https://www.readbyqxmd.com/read/28227999/polysilicon-based-flexible-temperature-sensor-for-high-spatial-resolution-brain-temperature-monitoring
#1
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
#2
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/28227994/development-of-a-high-sensitivity-and-portable-cell-using-helmholtz-resonance-for-noninvasive-blood-glucose-level-measurement-based-on-photoacoustic-spectroscopy
#3
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
#4
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/28227985/a-multi-criteria-evaluation-platform-for-segmentation-algorithms
#5
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/28227974/heart-rate-variability-as-a-biomarker-for-sedation-depth-estimation-in-icu-patients
#6
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/28227972/support-vector-machine-classification-of-parkinson-s-disease-and-essential-tremor-subjects-based-on-temporal-fluctuation
#7
Decho Surangsrirat, Chusak Thanawattano, Ronachai Pongthornseri, Songphon Dumnin, Chanawat Anan, Roongroj Bhidayasiri, Decho Surangsrirat, Chusak Thanawattano, Ronachai Pongthornseri, Songphon Dumnin, Chanawat Anan, Roongroj Bhidayasiri, Ronachai Pongthornseri, Roongroj Bhidayasiri, Songphon Dumnin, Chanawat Anan, Chusak Thanawattano, Decho Surangsrirat
Tremor is a common symptom shared in both Parkinson's disease (PD) and Essential tremor (ET) subjects. The differential diagnosis of PD and ET tremor is important since the realization of treatment depends on specific medication. A novel feature is developed based on a hypothesis that tremor of PD subject has a larger fluctuation during resting than action task. Tremor signal is collected using a triaxial gyroscope sensor attached to subject's finger during kinetic and resting task. The angular velocity signal is analyzed by transforming a one-dimensional to two-dimensional signal using a relation of signal and its delay versions...
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
#8
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/28227959/localizing-seizure-onset-zone-by-convolutional-transfer-entropy-from-ieeg
#9
Kang Lin, Yueming Wang, Kedi Xu, Junming Zhu, Jianmin Zhang, Xiaoxiang Zheng, Kang Lin, Yueming Wang, Kedi Xu, Junming Zhu, Jianmin Zhang, Xiaoxiang Zheng, Xiaoxiang Zheng, Junming Zhu, Yueming Wang, Kedi Xu, Kang Lin, Jianmin Zhang
Automatic localization of the seizure onset zone (SOZ) is able to output an objective result and help clinical doctors greatly in epilepsy therapy. Transfer entropy is one of the most frequently used measures based on information theory to localize the SOZ. However, if only using transfer entropy to localize the SOZ, different results can be obtained during different periods, thus humans still need to identify which one is most reasonable. This paper proposes a new method to output only a few (e.g. 1 or 2) results along a long time slot...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227948/stayfit-a-wearable-application-for-gym-based-power-training
#10
Maram Maheedhar, Aman Gaurav, Vivek Jilla, Vijay N Tiwari, Rangavittal Narayanan, Maram Maheedhar, Aman Gaurav, Vivek Jilla, Vijay N Tiwari, Rangavittal Narayanan, Rangavittal Narayanan, Vijay N Tiwari, Vivek Jilla, Aman Gaurav, Maram Maheedhar
Comprehensive fitness training involves both cardiorespiratory and power components. Often power/muscle strength training is confused with cardiorespiratory endurance training. However, each of them target different physiological aspects of fitness. Although, wearable based fitness trackers designed towards cardiorespiratory endurance training are available in the market, a dedicated wearable based fitness application designed for power training/tracking is still not readily available to fitness enthusiasts...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227930/detection-of-artifacts-on-photoplethysmography-signals-using-random-distortion-testing
#11
Safa Cherif, Dominique Pastor, Quang-Thang Nguyen, Erwan L'Her, Safa Cherif, Dominique Pastor, Quang-Thang Nguyen, Erwan L'Her, Safa Cherif, Quang-Thang Nguyen, Erwan L'Her, Dominique Pastor
In this work, we describe a novel method based on waveform morphology for detecting artifacts in photoplethysmography (PPG) signals and, thus, improve reliability of PPG. By considering inter-individual and measure condition variability, specific parameters are estimated for each record. We introduce a novel metric for comparing pulses, which is the derivative of the correlation coefficient. Then, we propose a detection method based on Random Distortion Testing (RDT), to perform adaptive threasholding for each record...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227921/directionally-sensitive-peripheral-nerve-recording-bipolar-nerve-cuff-design
#12
Parisa Sabetian, Milos R Popovic, Paul B Yoo, Parisa Sabetian, Milos R Popovic, Paul B Yoo
Although bipolar nerve cuff electrodes (NCEs) are used in clinical neurostimulation therapies (e.g., epilepsy, obstructive sleep apnea), the use of this electrode as part of a closed-up controlled system is very limited. The literature points to high noise content (i.e., poor signal-to-noise ratio, SNR) as the primary reason for not using bipolar NCEs to record neural activity. In fact, over the past several decades, the pseudo-tripolar NCEs, the symmetric configuration of this electrode array (i.e., electrically-shorted side contacts) makes it very difficult to obtain directional information from the recorded neural activity (efferent vs...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227908/a-boolean-approach-to-bacterial-chemotaxis
#13
Anuj Deshpande, Sibendu Samanta, Haimabati Das, Ritwik Kumar Layek, Anuj Deshpande, Sibendu Samanta, Haimabati Das, Ritwik Kumar Layek, Sibendu Samanta, Anuj Deshpande, Haimabati Das, Ritwik Kumar Layek
Bacterium such as Escherichia coli (E. coli) show biased Brownian motion in different chemical concentration gradients. This chemical sensitive motility or chemotaxis has gained considerable interest among scientists for some remarkable features such as chemo-sensory dynamic range, adaptation, diffusion and drift. A Boolean model of the whole chemotaxis process has been developed in this manuscript. The response of the circuit is in accordance with the experimental results available in the literature, providing indirect validation of the model...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227898/automatic-assessment-of-medication-states-of-patients-with-parkinson-s-disease-using-wearable-sensors
#14
Murtadha D Hssayeni, Michelle A Burack, Behnaz Ghoraani, Murtadha D Hssayeni, Michelle A Burack, Behnaz Ghoraani, Behnaz Ghoraani, Michelle A Burack, Murtadha D Hssayeni
Motor fluctuations are a major focus of clinical managements in patients with mid-stage and advance Parkinson's disease (PD). In this paper, we develop a new patient-specific algorithm that can classify those fluctuations during a variety of activities. We extract a set of temporal and spectral features from the ambulatory signals and then introduce a semi-supervised classification algorithm based on K-means and self-organizing tree map clustering methods. Two different types of cluster labeling are introduced: hard and fuzzy labeling...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227897/predicting-rapid-cognitive-decline-in-alzheimer-s-disease-patients-using-quantitative-eeg-markers-and-neuropsychological-test-scores
#15
Carmina Reyes-Coronel, Markus Waser, Heinrich Garn, Manfred Deistler, Peter Dal-Bianco, Thomas Benke, Gerhard Ransmayr, Dieter Grossegger, Reinhold Schmidt, Carmina Reyes-Coronel, Markus Waser, Heinrich Garn, Manfred Deistler, Peter Dal-Bianco, Thomas Benke, Gerhard Ransmayr, Dieter Grossegger, Reinhold Schmidt, Carmina Reyes-Coronel, Gerhard Ransmayr, Dieter Grossegger, Markus Waser, Peter Dal-Bianco, Thomas Benke, Manfred Deistler, Reinhold Schmidt, Heinrich Garn
Alzheimer's Disease (AD) can take different courses: some patients remain relatively stable while others decline rapidly within a given period of time. Losing more than 3 Mini-Mental State Examination (MMSE) points in one year is classified as rapid cognitive decline (RCD). This study used neuropsychological test scores and quantitative EEG (QEEG) markers obtained at a baseline examination to identify if an AD patient will be suffering from RCD. Data from 68 AD patients of the multi-centric cohort study PRODEM-Austria were applied...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227894/wearable-strain-sensors-fabricated-by-silver-nanowire-patterning-method-based-on-parylene-stencil-technique
#16
Namsun Chou, Sohee Kim, Namsun Chou, Sohee Kim, Namsun Chou, Sohee Kim
This paper describes a fabrication method of the silver nanowire (AgNW) patterns on PDMS substrate using a parylene stencil technique. The AgNW electrodes with the straight line and serpentine line traces were fabricated and characterized in terms of electromechanical properties. The sensitivity of the AgNW patterns was measured using a custom-designed stretch test module, resulting in gauge factors from 55.2 to 2.7 at 2% strain for two different 100 um-wide AgNW patterns. The wearable sensor based on AgNW patterns was designed and fabricated to epidermally detect the respiration and heart rate from the abdomen and neck...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227871/detection-of-collaborative-activity-with-kinect-depth-cameras
#17
Loic Sevrin, Norbert Noury, Nacer Abouchi, Fabrice Jumel, Bertrand Massot, Jacques Saraydaryan, Loic Sevrin, Norbert Noury, Nacer Abouchi, Fabrice Jumel, Bertrand Massot, Jacques Saraydaryan, Fabrice Jumel, Jacques Saraydaryan, Loic Sevrin, Bertrand Massot, Nacer Abouchi, Norbert Noury
The health status of elderly subjects is highly correlated to their activities together with their social interactions. Thus, the long term monitoring in home of their health status, shall also address the analysis of collaborative activities. This paper proposes a preliminary approach of such a system which can detect the simultaneous presence of several subjects in a common area using Kinect depth cameras. Most areas in home being dedicated to specific tasks, the localization enables the classification of tasks, whether collaborative or not...
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
#18
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/28227783/tooth-separation-from-dental-model-using-segmentation-field
#19
Hao Wang, Zhongyi Li, Hao Wang, Zhongyi Li, Zhongyi Li, Hao Wang
Tooth segmentation on dental model is an essential step of computer-aided-design systems for orthodontic virtual treatment planning. However, efficiently identifying cutting boundary to separate tooth from dental model still remains a challenge, due to various geometrical shapes of teeth, complex tooth arrangements and varying degrees of crowding problem. Most segmentation approaches presented before are not able to achieve a balance between fine segmentation results and simple operating procedure. In this article, we present a novel and efficient framework that achieves tooth segmentation based on the segmentation field...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227777/analysis-of-a-cardiovascular-model-for-the-study-of-the-autonomic-response-of-brugada-syndrome-patients
#20
Mireia Calvo, Virginie Le Rolle, Daniel Romero Perez, Nathalie Behar, Pedro Gomis, Philippe Mabo, Alfredo I Hernandez, Mireia Calvo, Virginie Le Rolle, Daniel Romero Perez, Nathalie Behar, Pedro Gomis, Philippe Mabo, Alfredo I Hernandez, Mireia Calvo, Daniel Romero Perez, Pedro Gomis, Philippe Mabo, Nathalie Behar, Alfredo I Hernandez, Virginie Le Rolle
This paper describes the integration of mathematical models of the cardiac electrical activity, the cardiovascular system and the baroreceptor reflex control of the autonomic nervous system, with a model representing a head-up tilt test. Sensitivity analyses are performed in order to determine those model parameters producing the greatest significant effects on heart rate and blood pressure. An optimization step is then applied to the most influential parameters in order to find the best model fit to real cardiac data obtained from a patient suffering from Brugada syndrome and a healthy subject, in supine and upright postures during a tilt test...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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