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https://www.readbyqxmd.com/read/28227981/assessment-of-sedation-analgesia-by-means-of-poincare%C3%AC-analysis-of-the-electroencephalogram
#1
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/28227974/heart-rate-variability-as-a-biomarker-for-sedation-depth-estimation-in-icu-patients
#2
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
#3
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/28227940/magnetic-resonance-imaging-receiver-coil-decoupling-using-circumferential-shielding-structures
#4
Jhy-Neng Tasso Yeh, Fa-Hsuan Lin, Jhy-Neng Tasso Yeh, Fa-Hsuan Lin, Jhy-Neng Tasso Yeh, Fa-Hsuan Lin
We propose a flexible phased-array design using circular coils with circumferential shielding structure to achieve robust decoupling between coil elements when the array is either bended or on a flat plane. Two types of circumferential shielding were tested through numerical simulation and imaging experiment. The results demonstrated that our arrays have good decoupling between coils when they are on a curved surface with S21 <; -16.72 dB. Both types perform higher SNR images than a commercially available 32-channel adult head coil array...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227929/savitzky-golay-coupled-with-digital-bandpass-filtering-as-a-pre-processing-technique-in-the-quantitative-analysis-of-glucose-from-near-infrared-spectra
#5
Krishna Chaitanya Patchava, Osamah Alrezj, Mohammed Benaissa, Hatim Behairy, Krishna Chaitanya Patchava, Osamah Alrezj, Mohammed Benaissa, Hatim Behairy, Krishna Chaitanya Patchava, Mohammed Benaissa, Osamah Alrezj, Hatim Behairy
This paper proposes a novel pre-processing method based on combining bandpass with Savitzky-Golay filtering to further improve the prediction performance of the linear calibration models Principal Component Regression (PCR) and Partial Least Squares Regression (PLSR) in near infrared spectroscopy. The proposed method is compared to the highly efficient RReliefF pre-processing technique for further evaluation. The developed calibration models have been validated to predict the glucose concentration from near infrared spectra of a mixture of glucose and human serum albumin in a phosphate buffer solution...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227914/automated-classification-of-pathological-gait-after-stroke-using-ubiquitous-sensing-technology
#6
Elham Dolatabadi, Babak Taati, Alex Mihailidis, Elham Dolatabadi, Babak Taati, Alex Mihailidis, Babak Taati, Alex Mihailidis, Elham Dolatabadi
This study uses machine learning methods to distinguish between healthy and pathological gait. Examples of multi-dimensional pathological and normal gait sequences were collected from post-stroke and healthy individuals in a real clinical setting and with two Kinect sensors. The trajectories of rotational angle and global velocity of selected body joints (hips, spine, shoulders, neck, knees and ankles) over time formed the gait sequences. The combination of k nearest neighbor (kNN) and dynamic time warping (DTW) was used for classification...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227881/a-framework-for-informing-segmentation-of-in-vivo-mri-with-information-derived-from-ex-vivo-imaging-application-in-the-medial-temporal-lobe
#7
Paul A Yushkevich, Laura Wisse, Daniel Adler, Ranjit Ittyerah, John B Pluta, John L Robinson, Theresa Schuck, John Q Trojanowski, Murray Grossman, John A Detre, Mark A Elliott, Jon B Toledo, Weixia Liu, Stephen Pickup, Sandhitsu R Das, David A Wolk, Paul A Yushkevich, Laura Wisse, Daniel Adler, Ranjit Ittyerah, John B Pluta, John L Robinson, Theresa Schuck, John Q Trojanowski, Murray Grossman, John A Detre, Mark A Elliott, Jon B Toledo, Weixia Liu, Stephen Pickup, Sandhitsu R Das, David A Wolk, John L Robinson, Jon B Toledo, Stephen Pickup, Weixia Liu, Paul A Yushkevich, Daniel Adler, John Q Trojanowski, Theresa Schuck, David A Wolk, Laura Wisse, Mark A Elliott, Sandhitsu R Das, John A Detre, John B Pluta, Ranjit Ittyerah, Murray Grossman
Automatic segmentation of cortical and subcortical structures is commonplace in brain MRI literature and is frequently used as the first step towards quantitative analysis of structural and functional neuroimaging. Most approaches to brain structure segmentation are based on propagation of anatomical information from example MRI datasets, called atlases or templates, that are manually labeled by experts. The accuracy of automatic segmentation is usually validated against the "bronze" standard of manual segmentation of test MRI datasets...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227851/design-and-validation-of-a-high-order-weighted-frequency-fourier-linear-combiner-based-kalman-filter-for-parkinsonian-tremor-estimation
#8
Y Zhou, M E Jenkins, M D Naish, A L Trejos, Y Zhou, M E Jenkins, M D Naish, A L Trejos, M E Jenkins, M D Naish, Y Zhou, A L Trejos
The design of a tremor estimator is an important part of designing mechanical tremor suppression orthoses. A number of tremor estimators have been developed and applied with the assumption that tremor is a mono-frequency signal. However, recent experimental studies have shown that Parkinsonian tremor consists of multiple frequencies, and that the second and third harmonics make a large contribution to the tremor. Thus, the current estimators may have limited performance on estimation of the tremor harmonics...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227838/alleviating-freezing-of-gait-using-phase-dependent-tactile-biofeedback
#9
Will Harrington, Andrew Greenberg, Edward King, James McNames, Lars Holmstrom, Fay B Horak, Martina Mancini, Will Harrington, Andrew Greenberg, Edward King, James McNames, Lars Holmstrom, Fay B Horak, Martina Mancini, Edward King, Lars Holmstrom, Martina Mancini, James McNames, Fay B Horak, Will Harrington, Andrew Greenberg
In this feasibility study, we present a novel, wearable prototype of tactile biofeedback to alleviate gait disturbances, such as freezing of gait in Parkinson's disease. We designed and tested a phase-dependent tactile biofeedback system that can be easily worn on the feet, with a simple switch to turn it on or off. Preliminary validation was performed in 8 subjects with Parkinson's disease who show freezing during a turning in place test. A metronome, control condition was used to compare effectiveness in alleviating freezing...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227829/development-of-a-diagnostic-feedback-device-to-assess-neonatal-cardiopulmonary-resuscitation-chest-compression-performance
#10
Debbie Lloyd, Dawie van den Heever, Kiran Dellimore, Johan Smith, Debbie Lloyd, Dawie van den Heever, Kiran Dellimore, Johan Smith, Dawie Van Den Heever, Johan Smith, Kiran Dellimore, Debbie Lloyd
Neonatal cardiopulmonary resuscitation (NCPR) is an important intervention to save the lives of newborns who suffer from cardiac and respiratory arrest. Despite its importance there is a dearth of NCPR research and no commercially available feedback device suitable for use during NCPR. The aim of this study is to develop a diagnostic feedback device in the form of a patch placed on the infant's chest. The diagnostic feedback patch measures both the compression depth and force during NCPR, while giving audio-visual feedback according to current NCPR guidelines...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227812/the-development-of-real-time-pcr-micro-device-with-optical-sensor-for-early-detection-of-cancer
#11
Yusuke Kimura, Keigo Osada, Yoshinori Inoue, Masashi Ikeuchi, Koji Ikuta, Yusuke Kimura, Keigo Osada, Yoshinori Inoue, Masashi Ikeuchi, Koji Ikuta, Koji Ikuta, Yoshinori Inoue, Keigo Osada, Yusuke Kimura, Masashi Ikeuchi
We can detect cancer in the early stages by validating the expression of cancer specific nucleic acids in the blood. In this report, we have developed the micro device for performing real-time polymerase chain reaction (real-time PCR), one of the methods used for determining the quantity of nucleic acids, using a small volume of reagent. This all-in-one device can perform real-time PCR with the inclusion of heating control and the analyzing system with optical sensor.
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227801/reference-configurations-for-ear-eeg-steady-state-responses
#12
Simon L Kappel, Christian B Christensen, Kaare B Mikkelsen, Preben Kidmose, Simon L Kappel, Christian B Christensen, Kaare B Mikkelsen, Preben Kidmose, Kaare B Mikkelsen, Preben Kidmose, Christian B Christensen, Simon L Kappel
Ear-EEG is a non-invasive EEG recording method, where EEG is recorded from electrodes placed in the ear. Ear-EEG could be implemented into hearing aids, and provide neurofeedback for e.g. objective hearing assessment through measurements of the auditory steady-state response. In cases where the objective is to measure a specific feature of an event-related potential, there will be a subject specific optimal reference configuration. This work presents a method for optimizing the reference configuration for steady-state type potentials...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227778/hybrid-automata-models-of-cardiac-ventricular-electrophysiology-for-real-time-computational-applications
#13
Sidharta Andalam, Harshavardhan Ramanna, Avinash Malik, Parthasarathi Roop, Nitish Patel, Mark L Trew, Sidharta Andalam, Harshavardhan Ramanna, Avinash Malik, Parthasarathi Roop, Nitish Patel, Mark L Trew, Nitish Patel, Avinash Malik, Parthasarathi Roop, Harshavardhan Ramanna, Mark L Trew, Sidharta Andalam
Virtual heart models have been proposed for closed loop validation of safety-critical embedded medical devices, such as pacemakers. These models must react in real-time to off-the-shelf medical devices. Real-time performance can be obtained by implementing models in computer hardware, and methods of compiling classes of Hybrid Automata (HA) onto FPGA have been developed. Models of ventricular cardiac cell electrophysiology have been described using HA which capture the complex nonlinear behavior of biological systems...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227766/short-association-bundle-atlas-based-on-inter-subject-clustering-from-hardi-data
#14
C Roman, M Guevara, D Duclap, A Lebois, C Poupon, J-F Mangin, P Guevara, C Roman, M Guevara, D Duclap, A Lebois, C Poupon, J-F Mangin, P Guevara, J-F Mangin, C Roman, D Duclap, C Poupon, A Lebois, P Guevara, M Guevara
This paper is focused on the study of short brain association fibers. We present an automatic method to identify short bundles of the superficial white matter based on inter-subject hierarchical clustering. Our method finds clusters of similar fibers, belonging to the different subjects, according to a distance measure between fibers. First, the algorithm obtains representative bundles and subsequently we perform an automatic labeling based on the anatomy, of the most stable connections. The analysis was applied to two independent groups of 37 subjects...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227765/distribution-aware-estimation-of-the-minimum-achievable-uncertainty-in-diffusion-tensor-imaging-dti
#15
Andrea Duggento, Marco Giannelli, Carlo Tessa, Simona Lanzafame, Maria Guerrisi, Nicola Toschi, Andrea Duggento, Marco Giannelli, Carlo Tessa, Simona Lanzafame, Maria Guerrisi, Nicola Toschi, Nicola Toschi, Maria Guerrisi, Marco Giannelli, Carlo Tessa, Simona Lanzafame, Andrea Duggento
Diffusion tensor imaging (DTI) provides exquisite sensitivity to structural and microstructural characteristics of brain tissue, and is routinely employed in advanced neuroimaging applications. DTI is commonly performed using intrinsically noisy echo-planar imaging techniques and poses high demands both on scanner performance and on in-scanner subject time, which in turn is directly related to the number of diffusion-weighting direction one requires. While DTI-derived indices such as fractional anisotropy (FA), diffusion tensor trace and anisotropy mode have proven extremely useful in characterizing disease-related aberrations, their estimation is commonly performed using fitting routines that do not properly take into account MRI noise distribution...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227753/statistically-significant-time-varying-neural-connectivity-estimation-using-generalized-partial-directed-coherence
#16
Pedro L C Rodrigues, Luiz A Baccala, Pedro L C Rodrigues, Luiz A Baccala, Pedro L C Rodrigues, Luiz A Baccala
This paper illustrates the effectiveness of generalized partial directed coherence (gPDC) in characterizing time-varying neural connectivity by properly extrapolating its single trial asymptotic statistical results to a multi trial setting. Time-varying estimation is performed with a sliding-window procedure based on the proposal in [1], whereby a time-frequency map of the connectivity between channels is built. The technique is validated on a non-linear toy model generating simulated EEG and then applied to a publicly available real EEG dataset for benchmarking purposes...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227749/reconstructing-multivariate-causal-structure-between-functional-brain-networks-through-a-laguerre-volterra-based-granger-causality-approach
#17
Andrea Duggento, Gaetano Valenza, Luca Passamonti, Maria Guerrisi, Riccardo Barbieri, Nicola Toschi, Andrea Duggento, Gaetano Valenza, Luca Passamonti, Maria Guerrisi, Riccardo Barbieri, Nicola Toschi, Andrea Duggento, Nicola Toschi, Maria Guerrisi, Luca Passamonti, Riccardo Barbieri, Gaetano Valenza
Classical multivariate approaches based on Granger causality (GC) which estimate functional connectivity in the brain are almost exclusively based on autoregressive models. Nevertheless, information available from past samples is limited due to both signal autocorrelation and necessarily low model orders. Consequently, multiple time-scales interactions are usually unaccounted for. To overcome these limitations, in this study we propose the use of discrete-time orthogonal Laguerre basis functions within a Wiener-Volterra decomposition of the BOLD signals to perform effective GC assessments of brain functional connectivity...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227731/a-unified-grid-based-wandering-pattern-detection-algorithm
#18
Ashish Kumar, Chiew Tong Lau, Syin Chan, Maode Ma, William D Kearns, Ashish Kumar, Chiew Tong Lau, Syin Chan, Maode Ma, William D Kearns, Chiew Tong Lau, Syin Chan, William D Kearns, Ashish Kumar, Maode Ma
The aim of this study was to develop and validate a robust algorithm for indoor and outdoor wandering pattern detection and to analyse the relationship of these patterns to other clinical measures. Much of the previous work in this area addressed the measurement of wandering indoors or outdoors and to the best of our knowledge, there has not been a unified algorithm proposed which can deal with both scenarios. We present a novel grid-based layout representation strategy to identify the patterns, which is applicable to both indoor and outdoor scenarios...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227713/gpu-based-cloud-system-for-high-performance-arrhythmia-detection-with-parallel-k-nn-algorithm
#19
Tae Joon Jun, Hyun Ji Park, Hyuk Yoo, Young-Hak Kim, Daeyoung Kim, Tae Joon Jun, Hyun Ji Park, Hyuk Yoo, Young-Hak Kim, Daeyoung Kim, Tae Joon Jun, Hyun Ji Park, Young-Hak Kim, Daeyoung Kim, Hyuk Yoo
In this paper, we propose an GPU based Cloud system for high-performance arrhythmia detection. Pan-Tompkins algorithm is used for QRS detection and we optimized beat classification algorithm with K-Nearest Neighbor (K-NN). To support high performance beat classification on the system, we parallelized beat classification algorithm with CUDA to execute the algorithm on virtualized GPU devices on the Cloud system. MIT-BIH Arrhythmia database is used for validation of the algorithm. The system achieved about 93...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227662/towards-synergistic-control-of-hands-on-needle-insertion-with-automated-needle-steering-for-mri-guided-prostate-interventions
#20
Marek Wartenberg, Niravkumar Patel, Gang Li, Gregory S Fischer, Marek Wartenberg, Niravkumar Patel, Gang Li, Gregory S Fischer, Niravkumar Patel, Marek Wartenberg, Gregory S Fischer, Gang Li
A significant hurdle of accurate needle tip placement in percutaneous needle-based prostate interventions is unmodeled needle deflection and tissue deformation during insertion. This paper introduces a robotic platform for developing synergistic, cooperatively controlled needle insertion algorithms decoupled from closed-loop image-guided needle steering. Shared control of the surgical workspace through human-robot synergy creates a balance between the accuracy of robotic autonomy while still providing ultimate control of the procedure to the physician...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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