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https://www.readbyqxmd.com/read/28227976/user-intent-prediction-with-a-scaled-conjugate-gradient-trained-artificial-neural-network-for-lower-limb-amputees-using-a-powered-prosthesis
#1
Richard B Woodward, John A Spanias, Levi J Hargrove, Richard B Woodward, John A Spanias, Levi J Hargrove, John A Spanias, Richard B Woodward, Levi J Hargrove
Powered lower limb prostheses have the ability to provide greater mobility for amputee patients. Such prostheses often have pre-programmed modes which can allow activities such as climbing stairs and descending ramps, something which many amputees struggle with when using non-powered limbs. Previous literature has shown how pattern classification can allow seamless transitions between modes with a high accuracy and without any user interaction. Although accurate, training and testing each subject with their own dependent data is time consuming...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227680/a-mobile-platform-for-automated-screening-of-asthma-and-chronic-obstructive-pulmonary-disease
#2
Daniel B Chamberlain, Rahul Kodgule, Richard Ribon Fletcher, Daniel B Chamberlain, Rahul Kodgule, Richard Ribon Fletcher, Daniel B Chamberlain, Richard Ribon Fletcher, Rahul Kodgule
Chronic Obstructive Pulmonary Disease (COPD) and asthma each represent a large proportion of the global disease burden; COPD is the third leading cause of death worldwide and asthma is one of the most prevalent chronic diseases, afflicting over 300 million people. Much of this burden is concentrated in the developing world, where patients lack access to physicians trained in the diagnosis of pulmonary disease. As a result, these patients experience high rates of underdiagnosis and misdiagnosis. To address this need, we present a mobile platform capable of screening for Asthma and COPD...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227214/activity-recognition-in-patients-with-lower-limb-impairments-do-we-need-training-data-from-each-patient
#3
Luca Lonini, Aakash Gupta, Konrad Kording, Arun Jayaraman, Luca Lonini, Aakash Gupta, Konrad Kording, Arun Jayaraman, Luca Lonini, Konrad Kording, Arun Jayaraman, Aakash Gupta
Machine learning allows detecting specific physical activities using data from wearable sensors. Such a quantification of patient mobility over time promises to accurately inform clinical decisions for physical rehabilitation. There are two strategies of setting up the machine learning problem: detect one patient's activities using data from the same patient (personal model) or detect their activities using data from other patients (global model), and we currently do not know if personal models are necessary...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227057/mobile-interface-for-neuroprosthesis-control-aiming-tetraplegic-users
#4
Renato G Barelli, Plinio T Aquino, Maria Claudia Ferrari de Castro, Renato G Barelli, Plinio T Aquino Junior, Maria Claudia Ferrari de Castro, Plinio T Aquino, Maria Claudia Ferrari de Castro, Renato G Barelli
This article proposes the development of a mobile interface for controlling a Neuroprosthesis, designed to restore grasp patterns, aiming tetraplegics users at C5 and C6 levels. Human Computer Interface paradigms and usability concepts guide its planning and development to garantee the quality of user's interaction with the system and thus, the sucess and controlability of the neuroprostheses. The number of screens and menus were optimized, thus the user may feel the interface as more intuitive, leading to fast learning and increasing the trust on it...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227039/amp-a-platform-for-managing-and-mining-data-in-the-treatment-of-autism-spectrum-disorder
#5
Erik Linstead, Ryan Burns, Duy Nguyen, David Tyler, Erik Linstead, Ryan Burns, Duy Nguyen, David Tyler, Erik Linstead, Duy Nguyen, Ryan Burns, David Tyler
We introduce AMP (Autism Management Platform), an integrated health care information system for capturing, analyzing, and managing data associated with the diagnosis and treatment of Autism Spectrum Disorder in children. AMP's mobile application simplifies the means by which parents, guardians, and clinicians can collect and share multimedia data with one another, facilitating communication and reducing data redundancy, while simplifying retrieval. Additionally, AMP provides an intelligent web interface and analytics platform which allow physicians and specialists to aggregate and mine patient data in real-time, as well as give relevant feedback to automatically learn data filtering preferences over time...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226619/application-of-semi-supervised-deep-learning-to-lung-sound-analysis
#6
Daniel Chamberlain, Rahul Kodgule, Daniela Ganelin, Vivek Miglani, Richard Ribon Fletcher, Daniel Chamberlain, Rahul Kodgule, Daniela Ganelin, Vivek Miglani, Richard Ribon Fletcher, Vivek Miglani, Daniel Chamberlain, Richard Ribon Fletcher, Rahul Kodgule, Daniela Ganelin
The analysis of lung sounds, collected through auscultation, is a fundamental component of pulmonary disease diagnostics for primary care and general patient monitoring for telemedicine. Despite advances in computation and algorithms, the goal of automated lung sound identification and classification has remained elusive. Over the past 40 years, published work in this field has demonstrated only limited success in identifying lung sounds, with most published studies using only a small numbers of patients (typically N<;20) and usually limited to a single type of lung sound...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226610/data-driven-estimation-of-blood-pressure-using-photoplethysmographic-signals
#7
Shi Chao Gao, Peter Wittek, Li Zhao, Wen Jun Jiang, Shi Chao Gao, Peter Wittek, Li Zhao, Wen Jun Jiang, Shi Chao Gao, Peter Wittek, Li Zhao, Wen Jun Jiang
Noninvasive measurement of blood pressure by optical methods receives considerable interest, but the complexity of the measurement and the difficulty of adjusting parameters restrict applications. We develop a method for estimating the systolic and diastolic blood pressure using a single-point optical recording of a photoplethysmographic (PPG) signal. The estimation is data-driven, we use automated machine learning algorithms instead of mathematical models. Combining supervised learning with a discrete wavelet transform, the method is insensitive to minor irregularities in the PPG waveform, hence both pulse oximeters and smartphone cameras can record the signal...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226583/recent-machine-learning-advancements-in-sensor-based-mobility-analysis-deep-learning-for-parkinson-s-disease-assessment
#8
Bjoern M Eskofier, Sunghoon I Lee, Jean-Francois Daneault, Fatemeh N Golabchi, Gabriela Ferreira-Carvalho, Gloria Vergara-Diaz, Stefano Sapienza, Gianluca Costante, Jochen Klucken, Thomas Kautz, Paolo Bonato, Bjoern M Eskofier, Sunghoon I Lee, Jean-Francois Daneault, Fatemeh N Golabchi, Gabriela Ferreira-Carvalho, Gloria Vergara-Diaz, Stefano Sapienza, Gianluca Costante, Jochen Klucken, Thomas Kautz, Paolo Bonato, Fatemeh N Golabchi, Gianluca Costante, Gloria Vergara-Diaz, Paolo Bonato, Gabriela Ferreira-Carvalho, Jean-Francois Daneault, Bjoern M Eskofier, Jochen Klucken, Sunghoon I Lee, Thomas Kautz, Stefano Sapienza
The development of wearable sensors has opened the door for long-term assessment of movement disorders. However, there is still a need for developing methods suitable to monitor motor symptoms in and outside the clinic. The purpose of this paper was to investigate deep learning as a method for this monitoring. Deep learning recently broke records in speech and image classification, but it has not been fully investigated as a potential approach to analyze wearable sensor data. We collected data from ten patients with idiopathic Parkinson's disease using inertial measurement units...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226470/behavioral-informatics-dynamical-models-for-measuring-and-assessing-behaviors-for-precision-interventions
#9
Misha Pavel, Holly Jimison, Bonnie Spring, Misha Pavel, Holly Jimison, Bonnie Spring, Bonnie Spring, Holly Jimison, Misha Pavel
Poor health-related behaviors represent a major challenge to healthcare due to their significant impact on chronic and acute diseases and their effect on the quality of life. Recent advances in technology have enabled an unprecedented opportunity to assess objectively, unobtrusively and continuously human behavior and have opened the possibility of optimizing individual-tailored, precision interventions within the framework of behavioral informatics. A key prerequisite for this optimization is the ability to assess and predict effects of interventions...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28222847/relying-on-the-national-mobile-disaster-hospital-as-a-business-continuity-strategy-in-the-aftermath-of-a-tornado-the-louisville-experience
#10
Randy D Kearns, Lew Stringer, James Craig, Regina Godette-Crawford, Paul S Black, David L Andra, James Winslow
On 28th April, 2014, a tornado left much of Louisville, MS and the local hospital, Winston Medical Center, in ruin. In the USA, temporary hospital solutions have been used to augment the mainstream healthcare system since the American Civil War. As memories fade, however, the necessary readiness for a temporary hospital also fades, at times leaving a patchwork of resources either underfunded or abandoned. With the creation of the Hospital Preparedness Program, several temporary hospital solutions were created in various states across the USA...
January 1, 2017: Journal of Business Continuity & Emergency Planning
https://www.readbyqxmd.com/read/28213446/acetylcholine-release-in-prefrontal-cortex-promotes-gamma-oscillations-and-theta-gamma-coupling-during-cue-detection
#11
W M Howe, H J Gritton, N Lusk, Erik A Roberts, Vaughn L Hetrick, Joshua D Berke, Martin Sarter
The capacity for using external cues to guide behavior ("cue detection") constitutes an essential aspect of attention and goal-directed behavior. The cortical cholinergic input system, via phasic increases in prefrontal acetylcholine release, plays an essential role in attention by mediating such cue detection. However, the relationship between cholinergic signaling during cue detection and neural activity dynamics in prefrontal networks remains unclear. Here we combined sub-second measures of cholinergic signaling, neurophysiological recordings, and cholinergic receptor blockade to delineate the cholinergic contributions to prefrontal oscillations during cue detection in rats...
February 17, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28211521/computer-aided-designing-of-immunosuppressive-peptides-based-on-il-10-inducing-potential
#12
Gandharva Nagpal, Salman Sadullah Usmani, Sandeep Kumar Dhanda, Harpreet Kaur, Sandeep Singh, Meenu Sharma, Gajendra P S Raghava
In the past, numerous methods have been developed to predict MHC class II binders or T-helper epitopes for designing the epitope-based vaccines against pathogens. In contrast, limited attempts have been made to develop methods for predicting T-helper epitopes/peptides that can induce a specific type of cytokine. This paper describes a method, developed for predicting interleukin-10 (IL-10) inducing peptides, a cytokine responsible for suppressing the immune system. All models were trained and tested on experimentally validated 394 IL-10 inducing and 848 non-inducing peptides...
February 17, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28197216/introducing-the-comprehensive-unit-based-safety-program-for-mechanically-ventilated-patients-in-saudi-arabian-intensive-care-units
#13
Raymond M Khan, Maha Aljuaid, Hanan Aqeel, Mohammed M Aboudeif, Shaimaa Elatwey, Rajeh Shehab, Yasser Mandourah, Khalid Maghrabi, Hassan Hawa, Imran Khalid, Ismael Qushmaq, Asad Latif, Bickey Chang, Sean M Berenholtz, Sultan Tayar, Khloud Al-Harbi, Amin Yousef, Anas A Amr, Yaseen M Arabi
Over the past decade, there have been major improvements to the care of mechanically ventilated patients (MVPs). Earlier initiatives used the concept of ventilator care bundles (sets of interventions), with a primary focus on reducing ventilator-associated pneumonia. However, recent evidence has led to a more comprehensive approach: The ABCDE bundle (Awakening and Breathing trial Coordination, Delirium management and Early mobilization). The approach of the Comprehensive Unit-based Safety Program (CUSP) was developed by patient safety researchers at the Johns Hopkins Hospital and is supported by the Agency for Healthcare Research and Quality to improve local safety cultures and to learn from defects by utilizing a validated structured framework...
January 2017: Annals of Thoracic Medicine
https://www.readbyqxmd.com/read/28190893/metalloneurochemistry-and-the-pierian-spring-shallow-draughts-intoxicate-the-brain
#14
Jacob M Goldberg, Andrei Loas, Stephen J Lippard
Metal ions perform critical and diverse functions in nervous system physiology and pathology. The field of metalloneurochemistry aims to understand the mechanistic bases for these varied roles at the molecular level. Here, we review several areas of research that illustrate progress toward achieving this ambitious goal and identify key challenges for the future. We examine the use of lithium as a mood stabilizer, the roles of mobile zinc and copper in the synapse, the interplay of nitric oxide and metals in retrograde signaling, and the regulation of iron homeostasis in the brain...
October 2016: Israel Journal of Chemistry
https://www.readbyqxmd.com/read/28190744/use-of-m-health-in-polio-eradication-and-other-immunization-activities-in-developing-countries
#15
REVIEW
Sara S Kim, Manish Patel, Alan Hinman
INTRODUCTION: Reaching the children that are chronically missed by routine immunization services has been a key pillar of success in achieving progress toward polio eradication. The rapid advancement and accessibility of mobile technology ("mHealth") in low and lower middle income countries provides an important opportunity to apply novel, innovative approaches to provide vaccine services. We sought to document the use and effectiveness of mHealth in immunization programs in low and lower middle income countries...
February 9, 2017: Vaccine
https://www.readbyqxmd.com/read/28186070/thought-spot-co-creating-mental-health-solutions-with-post-secondary-students
#16
David Wiljer, Andrew Johnson, Erica McDiarmid, Alexxa Abi-Jaoude, Genevieve Ferguson, Elisa Hollenberg, Nicole van Heerwaarden, Tim Tripp, Marcus Law
It is difficult for the nearly 20% of Canadian 15- to 24-year olds reporting symptoms to seek the help they need within the current mental health system. Web-based and mobile health interventions are promising tools for reaching this group; having the capacity to reduce access-to-service barriers and engage youth in promoting their mental well-being. A three-phased, iterative, co-creation developmental approach was used to develop Thought Spot, a platform to better enable post-secondary students to seek mental health support...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28186010/mobile-audience-response-systems-at-a-continuing-medical-education-conference
#17
Alexandra Beaumont, Michael Gousseau, Connor Sommerfeld, Darren Leitao, Adrian Gooi
BACKGROUND: Mobile audience response systems (mARS) are electronic systems allowing speakers to ask questions and audience members to respond anonymously and immediately on a screen which enables learners to view their peers' responses as well as their own. mARS encourages increased interaction and active learning. OBJECTIVES: This study aims to examine the perceptions of audience members and speakers towards the implementation of mARS at a national medical conference...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28179882/connecting-artificial-brains-to-robots-in-a-comprehensive-simulation-framework-the-neurorobotics-platform
#18
Egidio Falotico, Lorenzo Vannucci, Alessandro Ambrosano, Ugo Albanese, Stefan Ulbrich, Juan Camilo Vasquez Tieck, Georg Hinkel, Jacques Kaiser, Igor Peric, Oliver Denninger, Nino Cauli, Murat Kirtay, Arne Roennau, Gudrun Klinker, Axel Von Arnim, Luc Guyot, Daniel Peppicelli, Pablo Martínez-Cañada, Eduardo Ros, Patrick Maier, Sandro Weber, Manuel Huber, David Plecher, Florian Röhrbein, Stefan Deser, Alina Roitberg, Patrick van der Smagt, Rüdiger Dillman, Paul Levi, Cecilia Laschi, Alois C Knoll, Marc-Oliver Gewaltig
Combined efforts in the fields of neuroscience, computer science, and biology allowed to design biologically realistic models of the brain based on spiking neural networks. For a proper validation of these models, an embodiment in a dynamic and rich sensory environment, where the model is exposed to a realistic sensory-motor task, is needed. Due to the complexity of these brain models that, at the current stage, cannot deal with real-time constraints, it is not possible to embed them into a real-world task...
2017: Frontiers in Neurorobotics
https://www.readbyqxmd.com/read/28179180/developing-a-3-choice-serial-reaction-time-task-for-examining-neural-and-cognitive-function-in-an-equine-model
#19
Kirsty Roberts, Andrew J Hemmings, Sebastian D McBride, Matthew O Parker
BACKGROUND: Large animal models of human neurological disorders are advantageous compared to rodent models due to their neuroanatomical complexity, longevity and their ability to be maintained in naturalised environments. Some large animal models spontaneously develop behaviours that closely resemble the symptoms of neural and psychiatric disorders. The horse is an example of this; the domestic form of this species consistently develops spontaneous stereotypic behaviours akin to the compulsive and impulsive behaviours observed in human neurological disorders such as Tourette's syndrome...
February 5, 2017: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/28173937/student-use-and-perceptions-of-mobile-technology-in-clinical-clerkships-guidance-for-curriculum-design
#20
Joanna K Law, Parker A Thome, Brenessa Lindeman, Daren C Jackson, Anne O Lidor
BACKGROUND: We examined the types of technology used by medical students in clinical clerkships, and the perception of technology implementation into the curriculum. METHODS: An online survey about technology use was completed prior to general surgery clinical clerkship. Types of devices and frequency/comfort of use were recorded. Perceptions of the benefits and barriers to technology use in clerkship learning were elicited. RESULTS: 125/131 (95...
January 30, 2017: American Journal of Surgery
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