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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
#1
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/28227959/localizing-seizure-onset-zone-by-convolutional-transfer-entropy-from-ieeg
#2
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
#3
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/28227945/an-adaptive-and-robust-online-method-to-predict-gait-events
#4
Stefan O Schrade, Yvonne Bader, Michael R Tucker, Camila Shirota, Roger Gassert, Stefan O Schrade, Yvonne Bader, Michael R Tucker, Camila Shirota, Roger Gassert, Camila Shirota, Stefan O Schrade, Roger Gassert, Yvonne Bader, Michael R Tucker
Accurate timing of interventions during the gait cycle are critical for optimal efficacy of assistive devices, e.g., to reduce the metabolic cost of walking. However, timing control generally relies on methods that can neither account for changes in the stride duration over time due to different walking speeds, nor reject isolated abnormal strides, which could be caused by stumbling or obstacle avoidance for example. In order to address these issues, a method, named the Gait Phase Estimator (GPE), is proposed to predict temporal gait events and stride duration...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227943/an-unsupervised-approach-to-detecting-and-isolating-athletic-movements
#5
Terry Taewoong Um, Dana Kulic, Terry Taewoong Um, Dana Kulic, Dana Kulic
To enable automatic analysis of athletic movement, the first task is to recognize the athletic movements to be analyzed from a continuous motion data stream. Automated detection of athletic movement and the isolation of the recruited body parts would enable the analysis of sporting movements for improving sports performance and preventing possible injuries. In this paper, an unsupervised method for detecting and isolating athletic movements is proposed. Given motion capture data, the method automatically identifies when athletic movements are being performed and the body parts involved using the concepts of the manipulability and kinematic dimensionality reduction...
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
#6
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/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/28227875/smart-autism-a-mobile-interactive-and-integrated-framework-for-screening-and-confirmation-of-autism
#8
Khondaker Abdullah Al Mamun, Sharmistha Bardhan, Md Anwar Ullah, Evdokia Anagnostou, Jessica Brian, Shaheen Akhter, Mohammod Golam Rabbani, Khondaker Abdullah Al Mamun, Sharmistha Bardhan, Md Anwar Ullah, Evdokia Anagnostou, Jessica Brian, Shaheen Akhter, Mohammod Golam Rabbani, Evdokia Anagnostou, Sharmistha Bardhan, Shaheen Akhter, Md Anwar Ullah, Mohammod Golam Rabbani, Jessica Brian, Khondaker Abdullah Al Mamun
Smart Autism is a cloud based, automated framework for autism screening and confirmation. In developing countries, due to lack of resources and expertise, autism is detected later than early ages which consequently delays timely intervention. Therefore a mobile, interactive and integrated framework is proposed to screen and confirm autism in different age group (0 to 17 years) with 3 layers of assessment process. Firstly, it screens by evaluating the responses of pictorial based screening questionnaire through mobile application...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227868/middle-and-inner-ear-modelling-from-microct-images-to-3d-reconstruction-and-coupling-of-models
#9
N S Tachos, A I Sakellarios, G Rigas, V Isailovic, G Ni, F Bohnke, N Filipovic, T Bibas, D I Fotiadis, N S Tachos, A I Sakellarios, G Rigas, V Isailovic, G Ni, F Bohnke, N Filipovic, T Bibas, D I Fotiadis, A I Sakellarios, V Isailovic, D I Fotiadis, A Bibas, F Bohnke, G Ni, N Filipovic, G Rigas, N S Tachos
We present finite element (FE) modeling approaches of ear mechanics including 3-dimensional (3D) reconstruction of the human middle and inner ear. Specifically, we demonstrate a semi-automatic methodology for the 3D reconstruction of the inner ear structures, a FE harmonic response model of the middle ear to predict the stapes footplate frequency response, a 2D FE slice model of the cochlea for the coupled response at the micromechanical level for either acoustic or electrical excitation and a coupled FE middle ear model with a simplified cochlea box model to simulate the basilar membrane velocity in response to acoustic excitation...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227864/automatic-segmentation-of-multimodal-brain-tumor-images-based-on-classification-of-super-voxels
#10
M Kadkhodaei, S Samavi, N Karimi, H Mohaghegh, S M R Soroushmehr, K Ward, A All, K Najarian, M Kadkhodaei, S Samavi, N Karimi, H Mohaghegh, S M R Soroushmehr, K Ward, A All, K Najarian, K Ward, S M R Soroushmehr, A All, S Samavi, M Kadkhodaei, H Mohaghegh, K Najarian, N Karimi
Despite the rapid growth in brain tumor segmentation approaches, there are still many challenges in this field. Automatic segmentation of brain images has a critical role in decreasing the burden of manual labeling and increasing robustness of brain tumor diagnosis. We consider segmentation of glioma tumors, which have a wide variation in size, shape and appearance properties. In this paper images are enhanced and normalized to same scale in a preprocessing step. The enhanced images are then segmented based on their intensities using 3D super-voxels...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227856/multiquadric-spline-based-interactive-segmentation-of-vascular-networks
#11
Sachin Meena, V B Surya Prasath, Yasmin M Kassim, Richard J Maude, Olga V Glinskii, Vladislav V Glinsky, Virginia H Huxley, Kannappan Palaniappan, Sachin Meena, V B Surya Prasath, Yasmin M Kassim, Richard J Maude, Olga V Glinskii, Vladislav V Glinsky, Virginia H Huxley, Kannappan Palaniappan, Virginia H Huxley, Yasmin M Kassim, Sachin Meena, Kannappan Palaniappan, Vladislav V Glinsky, Olga V Glinskii, Richard J Maude, V B Surya Prasath
Commonly used drawing tools for interactive image segmentation and labeling include active contours or boundaries, scribbles, rectangles and other shapes. Thin vessel shapes in images of vascular networks are difficult to segment using automatic or interactive methods. This paper introduces the novel use of a sparse set of user-defined seed points (supervised labels) for precisely, quickly and robustly segmenting complex biomedical images. A multiquadric spline-based binary classifier is proposed as a unique approach for interactive segmentation using as features color values and the location of seed points...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227782/predicting-short-term-icu-outcomes-using-a-sequential-contrast-motif-based-classification-framework
#12
Shameek Ghosh, Hung Nguyen, Jinyan Li, Shameek Ghosh, Hung Nguyen, Jinyan Li, Shameek Ghosh, Hung Nguyen, Jinyan Li
Critical ICU events like acute hypotension and septic shock are dangerous complications, leading to multiple organ failures and eventual death. Previously, pattern mining algorithms have been employed for extracting interesting rules in various clinical domains. However, the extracted rules are directly investigated by clinicians for diagnosing a disease. Towards this purpose, there is a need to develop advanced prediction models which integrate dynamic patterns to learn a patient's physiological condition...
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
#13
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/28227747/split-belt-adaptation-and-gait-symmetry-in-transtibial-amputees-walking-with-a-hybrid-emg-controlled-ankle-foot-prosthesis
#14
Oliver A Kannape, Hugh M Herr, Oliver A Kannape, Hugh M Herr, Oliver A Kannape, Hugh M Herr
Our ability to automatically adapt our walking pattern to the demands of our environment is central to maintaining a steady gait. Accordingly, a large effort is being made to extend and integrate this adaptability to lower-limb prostheses. To date, the main focus of this research has been on short term adaptation, such as in response to a terrain transition or a sudden change in the environment. However, long term adaptation and underlying sensorimotor learning processes are critical to optimizing walking patterns and predictively changing our gait when faced with continued perturbations...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227736/dermatological-tracking-of-chronic-acne-treatment-effectiveness
#15
Sergiu Lucut, Michael R Smith, Sergiu Lucut, Michael R Smith, Michael R Smith, Sergiu Lucut
Acne can lead to severe physical and psychological implications on chronic sufferers if not treated promptly and properly. Ramli et al. proposed a k-means cluster based algorithm to provide computer-assisted support for the manual grading of digital images. We propose an improved, automated, and more objective, grading method which involves optimizing the k-means clustering algorithm by identifying the actual number of clusters rather than basing analysis on a fixed K= 3 assumption for all images. The Hough transform was used to further analyze the found acne cluster leading to an approach to more accurately automatically determine the number and type of lesions...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227728/comparison-between-users-of-a-new-methodology-for-heart-sound-auscultation
#16
Ana Castro, Pedro Gomes, Sandra S Mattos, Miguel T Coimbra, Ana Castro, Pedro Gomes, Sandra S Mattos, Miguel T Coimbra, Ana Castro, Sandra S Mattos, Pedro Gomes, Miguel Y Coimbra
Auscultation is a routine exam and the first line of screening in heart pathologies. The objective of this study was to assess if using a new data collection system, the DigiScope Collector, with a guided and automatic annotation of heart auscultation, different levels of expertise/experience users could collect similar digital auscultations. Data were collected within the Heart Caravan Initiative (Paraíba, Brasil). Patients were divided into two study groups: Group 1 evaluated by a third year medical student (User 1), and an experienced nurse (User 2); Group 2 evaluated by User 2 and an Information Technology professional (User 3)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227695/implantable-gastric-electric-stimulator-with-automatic-daily-activity-compliance-reporting
#17
Eri Takami, Javier J Sanchez, Rose Province, Antonio J Torres, Eri Takami, Javier J Sanchez, Rose Province, Antonio J Torres, Eri Takami, Javier J Sanchez, Antonio J Torres, Rose Province
In order for any obesity therapy to be successful real behavior change by the individual is required. We present an implantable obesity therapy that combines gastric electrical stimulation for satiety with onboard sensors that provide self-monitoring for the patient and compliance reporting to the clinician. An algorithm for processing data from the onboard three axis accelerometer for use in physical activity monitoring was developed and validated. Four obese patients participated in a study where self-reported sleep and exercise was compared with the events detected by the implanted system, and two commercially available, wearable activity monitors...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227654/preliminary-results-for-an-adaptive-pattern-recognition-system-for-novel-users-using-a-powered-lower-limb-prosthesis
#18
John A Spanias, Ann M Simon, Eric J Perreault, Levi J Hargrove, John A Spanias, Ann M Simon, Eric J Perreault, Levi J Hargrove, Eric J Perreault, John A Spanias, Ann M Simon, Levi J Hargrove
Powered prosthetic legs are capable of improving the gait of lower limb amputees. Pattern recognition systems for these devices allow amputees to transition between different locomotion modes in a way that is seamless and transparent to the user. However, the potential of these systems is diminished because they require large amounts of training data that is burdensome to collect. To reduce the effort required to acquire these data, we developed an adaptive pattern recognition system that automatically learns from subject-specific data as the user is ambulating...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227635/identifying-the-number-and-location-of-body-worn-sensors-to-accurately-classify-walking-transferring-and-sedentary-activities
#19
Omar Aziz, Stephen N Robinovitch, Edward J Park, Omar Aziz, Stephen N Robinovitch, Edward J Park, Omar Aziz, Edward J Park, Stephen N Robinovitch
In order to perform fall risk assessments using wearable inertial sensors in older adults in their natural settings where falls are likely to occur, a first step is to automatically segment and classify sensor signals of human movements into the known `activities of interest'. Sensor data from such activities can later be used through quantitative and qualitative analysis for differentiating fallers from non-fallers. In this study, ten young adults participated in experimental trials involving several variations of walking, transferring and sedentary activities...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227630/an-rf-powering-system-with-adaptive-impedance-matching-for-individual-health-monitoring-applications
#20
Zemin Liu, Yu-Pin Hsu, Mona M Hella, Zemin Liu, Yu-Pin Hsu, Mona M Hella, Yu-Pin Hsu, Mona M Hella, Zemin Liu
This paper presents a high-efficiency RF powering system, suitable for individual health monitoring applications. The system is composed of an antenna, an impedance matching network, and a two-stage full-wave RF-DC rectifier. A novel tuning mechanism is proposed to automatically adjust the impedance of the matching network. This mechanism can effectively improve the power efficiency of the system by 47% compared to the case without tuning. For the adaptive impedance, only a 5-bits binary weighted capacitor bank is required in the matching network...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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