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https://www.readbyqxmd.com/read/28228009/emergency-ultrasonography-of-the-gastrointestinal-tract-of-children
#1
Jae-Yeon Hwang
Ultrasonography (US) is widely used to evaluate most body parts in pediatric patients because it is simple, noninvasive, easy to use, and applicable in a wide variety of clinical situations. US is the modality of choice for the initial evaluation of acute abdominal pain in pediatric patients because of their small body habitus and the presence of less fat tissue in the abdominal wall and peritoneal cavity. The most important factor in performing pediatric emergency US is the graded compression technique and selection of the proper transducer...
January 25, 2017: Ultrasonography
https://www.readbyqxmd.com/read/28227990/using-computational-phantoms-to-improve-delivery-of-tumor-treating-fields-ttfields-to-patients
#2
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/28227975/an-adaptive-deep-learning-approach-for-ppg-based-identification
#3
V Jindal, J Birjandtalab, M Baran Pouyan, M Nourani, V Jindal, J Birjandtalab, M Baran Pouyan, M Nourani, V Jindal, M Baran Pouyan, J Birjandtalab, M Nourani
Wearable biosensors have become increasingly popular in healthcare due to their capabilities for low cost and long term biosignal monitoring. This paper presents a novel two-stage technique to offer biometric identification using these biosensors through Deep Belief Networks and Restricted Boltzman Machines. Our identification approach improves robustness in current monitoring procedures within clinical, e-health and fitness environments using Photoplethysmography (PPG) signals through deep learning classification models...
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
#4
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/28227959/localizing-seizure-onset-zone-by-convolutional-transfer-entropy-from-ieeg
#5
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/28227935/heart-sound-segmentation-using-fractal-decomposition
#6
Rijil Thomas, Ling Lieng Hsi, Soh Cheong Boon, Erry Gunawan, Rijil Thomas, Ling Lieng Hsi, Soh Cheong Boon, Erry Gunawan
In order to assist cardiac diagnosis by phonocardiography, the automated identification of fundamental heart sounds for heart beat segmentation in a cardiac cycle plays a significant role in signal processing. Recent advancements in signal processing have also shown the potential of multifractality in biomedical applications. Hence, in this paper, the multifractal property of heart sounds is utilized to identify first and second heart sounds. The root mean square (rms) fluctuation used to obtain multifractal/singularity spectrum is used to decompose the heart sound into its own fractally-important components in time domain along with simultaneous Gaussianity test to filter out fundamental components...
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
#7
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/28227918/longitudinal-wearable-tremor-measurement-system-with-activity-recognition-algorithms-for-upper-limb-tremor
#8
Jeonghee Kim, Claire Parnell, Thomas Wichmann, Stephen P DeWeerth, Jeonghee Kim, Claire Parnell, Thomas Wichmann, Stephen P DeWeerth, Claire Parnell, Thomas Wichmann, Stephen P DeWeerth, Jeonghee Kim
Assessments of tremor characteristics by movement disorder physicians are usually done at single time points in clinic settings, so that the description of the tremor does not take into account the dependence of the tremor on specific behavioral situations. Moreover, treatment-induced changes in tremor or behavior cannot be quantitatively tracked for extended periods of time. We developed a wearable tremor measurement system with tremor and activity recognition algorithms for long-term upper limb behavior tracking, to characterize tremor characteristics and treatment effects in their daily lives...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227917/evaluation-of-shoulder-joint-kinematics-and-muscle-activity-during-geared-and-standard-manual-wheelchair-mobility
#9
Omid Jahanian, Alyssa J Schnorenberg, Brooke A Slavens, Omid Jahanian, Alyssa J Schnorenberg, Brooke A Slavens, Brooke A Slavens, Alyssa J Schnorenberg, Omid Jahanian
Manual wheelchairs often lead to reduced independent function and an increase in shoulder pain and injuries. Geared manual wheelchairs may be a promising alternative that reduces the biomechanical demands of the shoulder needed for tasks such as propulsion on ramps and carpeted floors, while maximizing function and participation. To investigate the effects of geared manual wheelchair mobility during demanding tasks such as ramp ascent, six able-bodied subjects were evaluated in this study. Subjects were asked to propel both standard and geared manual wheelchairs on a tiled level floor and on a wheelchair ADA ramp...
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
#10
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/28227900/automated-assessment-of-postural-stability-system
#11
Alessandro Napoli, Christian R Ward, Stephen M Glassd, Carole Tucker, Iyad Obeid, Alessandro Napoli, Christian R Ward, Stephen M Glass, Carole Tucker, Iyad Obeid, Christian R Ward, Carole Tucker, Alessandro Napoli, Iyad Obeid, Stephen M Glass
The Balance Error Scoring System (BESS) is one of the most commonly used clinical tests to evaluate static postural stability deficits resulting from traumatic brain events and musculoskeletal injury. This test requires a trained operator to visually assess balance and give the subject a performance score based on the number of balance "errors" they committed. Despite being regularly used in several real-world situations, the BESS test is scored by clinician observation and is therefore (a) potentially susceptible to biased and inaccurate test scores and (b) cannot be administered in the absence of a trained provider...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227899/peripheral-sensory-stimulation-is-neuroprotective-in-a-rat-photothrombotic-ischemic-stroke-model
#12
Aishwarya Bandla, Chua Le Teng Sherry, Frances Lim, Chan Kim Chuan, Lun-De Liao, Nitish V Thakor, Aishwarya Bandla, Chua Le Teng Sherry, Frances Lim, Chan Kim Chuan, Lun-De Liao, Nitish V Thakor, Lun-De Liao, Nitish V Thakor, Frances Lim, Chua Le Teng Sherry, Aishwarya Bandla, Chan Kim Chuan
Ischemic stroke is one of the leading causes of death and disability in the world. Thrombolytic therapy using recombinant tissue plasminogen activator (rtPA), the only FDA-approved drug for acute ischemia, is limited by a narrow therapeutic time window and risk of hemorrhage. There is a serious need for a neuroprotective therapy which is clinically viable. We earlier demonstrated that peripheral sensory stimulation (PSS) is a potential therapeutic intervention for hyperacute ischemia resulting in recovery of neurovascular functions when administered immediately following ischemia onset in a rat 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
#13
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/28227882/development-and-application-of-human-breast-phantoms-in-microwave-diagnostic-and-therapeutic-technologies
#14
Luz Maria Neira, R Owen Mays, Susan C Hagness, Luz Maria Neira, R Owen Mays, Susan C Hagness, Luz Maria Neira, Susan C Hagness, R Owen Mays
We highlight recent progress in the development of high-fidelity numerical and physical breast phantoms. These phantoms mimic the anatomical structure and physical properties that are relevant to accurately portraying microwave interactions with the human breast. The phantoms are currently being used in numerous laboratory studies of microwave diagnostic and therapeutic technologies for a variety of potential clinical applications in breast health and disease management.
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227877/a-wearable-computing-platform-for-developing-cloud-based-machine-learning-models-for-health-monitoring-applications
#15
Shyamal Patel, Ryan S McGinnis, Ikaro Silva, Steve DiCristofaro, Nikhil Mahadevan, Elise Jortberg, Jaime Franco, Albert Martin, Joseph Lust, Milan Raj, Bryan McGrane, Paolo DePetrillo, A J Aranyosi, Melissa Ceruolo, Jesus Pindado, Roozbeh Ghaffari, Shyamal Patel, Ryan S McGinnis, Ikaro Silva, Steve DiCristofaro, Nikhil Mahadevan, Elise Jortberg, Jaime Franco, Albert Martin, Joseph Lust, Milan Raj, Bryan McGrane, Paolo DePetrillo, A J Aranyosi, Melissa Ceruolo, Jesus Pindado, Roozbeh Ghaffari
Wearable sensors have the potential to enable clinical-grade ambulatory health monitoring outside the clinic. Technological advances have enabled development of devices that can measure vital signs with great precision and significant progress has been made towards extracting clinically meaningful information from these devices in research studies. However, translating measurement accuracies achieved in the controlled settings such as the lab and clinic to unconstrained environments such as the home remains a challenge...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227865/a-dce-mri-imaging-based-model-for-simulation-of-vascular-tumour-growth
#16
Thais Roque, Veerle Kersemans, Sean Smart, Danny Allen, Julia A Schnabel, Michael Chappell, Thais Roque, Veerle Kersemans, Sean Smart, Danny Allen, Julia A Schnabel, Michael Chappell, Sean Smart, Michael Chappell, Veerle Kersemans, Danny Allen, Julia A Schnabel, Thais Roque
Imaging-based modelling of tumour growth can serve as a powerful tool to understand and predict tumour evolution and its response to therapy. The purpose of this study was to introduce, calibrate and evaluate a multi-scale model of vascular tumour growth. The model allows for proliferation, death and spatial spread of tumour cells as well as for new vessel creation. Both the calibration and the evaluation of the tumour growth model were performed using pre-clinical longitudinal time series of dynamic contrast-enhanced magnetic resonance imaging of colon carcinoma...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227839/exercise-system-for-eccentric-tibialis-anterior-contraction-to-improve-ambulatory-function
#17
Shota Itoh, Keisuke Kubota, Kunihiro Ogata, Toshiaki Tsuji, Shota Itoh, Keisuke Kubota, Kunihiro Ogata, Toshiaki Tsuji, Toshiaki Tsuji, Keisuke Kubota, Kunihiro Ogata, Shota Itoh
This study has developed a device and system for the exercise of eccentric contraction of the tibialis anterior, with the objective of maintaining ambulatory function. A system was built that allows for exercises of appropriate load and speed, by providing the trainee with force data in the form of visual feedback. An experimental verification with two healthy participants shows small variation in the Myoelectric data during the repetitive exercise. The result suggest the possibility of higher reproducibility of the proposed exercise in comparison with manual exercise...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227836/exerciser-for-rehabilitation-of-the-arm-era-development-and-unique-features-of-a-3d-end-effector-robot
#18
Marie-Helene Milot, Mathieu Hamel, Philippe-Olivier Provost, Julien Bernier-Ouellet, Maxime Dupuis, Dominic Letourneau, Simon Briere, Francois Michaud, Marie-Helene Milot, Mathieu Hamel, Philippe-Olivier Provost, Julien Bernier-Ouellet, Maxime Dupuis, Dominic Letourneau, Simon Briere, Francois Michaud, Philippe-Olivier Provost, Dominic Letourneau, Maxime Dupuis, Marie-Helene Milot, Francois Michaud, Mathieu Hamel, Julien Bernier-Ouellet, Simon Briere
Stroke is one of the leading causes of disability worldwide. Consequently, many stroke survivors exhibit difficulties undergoing voluntary movement in their affected upper limb, compromising their functional performance and level of independence. To minimize the negative impact of stroke disabilities, exercises are recognized as a key element in post-stroke rehabilitation. In order to provide the practice of exercises in a uniform and controlled manner as well as increasing the efficiency of therapists' interventions, robotic training has been found, and continues to prove itself, as an innovative intervention for post-stroke rehabilitation...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227834/development-of-semi-chronic-microdrive-system-for-large-scale-circuit-mapping-in-macaque-mesolimbic-and-basal-ganglia-systems
#19
Shaoyu Qiao, Kevin A Brown, Amy L Orsborn, Breonna Ferrentino, Bijan Pesaran, Shaoyu Qiao, Kevin A Brown, Amy L Orsborn, Breonna Ferrentino, Bijan Pesaran, Shaoyu Qiao, Amy L Orsborn, Breonna Ferrentino, Kevin A Brown, Bijan Pesaran
The development of novel neurotechnologies for treating refractory neuropsychiatry disorders depends on understanding and manipulating the dynamics of neural circuits across large-scale brain networks. The mesolimbic pathway plays an essential role in reward processing and mood regulation and disorders of this pathway underlie many neuropsychiatric disorders. Here, we present the design of a customized semi-chronic microdrive array that precisely targets the anatomical structures of non-human primate (NHP) mesolimbic and basal ganglia systems...
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
#20
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
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