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https://www.readbyqxmd.com/read/28227975/an-adaptive-deep-learning-approach-for-ppg-based-identification
#1
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/28227877/a-wearable-computing-platform-for-developing-cloud-based-machine-learning-models-for-health-monitoring-applications
#2
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/28227840/virtual-reality-for-pediatric-neuro-rehabilitation-adaptive-visual-feedback-of-movement-to-engage-the-mirror-neuron-system
#3
Roopeswar Kommalapati, Konstantinos P Michmizos, Roopeswar Kommalapati, Konstantinos P Michmizos, Roopeswar Kommalapati, Konstantinos P Michmizos
Sensorimotor therapy gives optimal results when patients are cognitively engaged into highly repetitive tasks, a goal that most children find hard to pursue. This paper presents the key developments of our ongoing effort to design an interactive rehabilitation environment that motivates physically impaired children throughout their therapy. The continuous motivation is achieved by the system adapting fundamental therapeutic components to the performance of each child. The relevant movement is mirrored to an animated character projected in front of the child...
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
#4
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/28227732/a-hybrid-rule-and-machine-learning-based-generic-alerting-platform-for-smart-environments
#5
Joseph Rafferty, Jonathan Synnott, Chris Nugent, Joseph Rafferty, Jonathan Synnott, Chris Nugent, Jonathan Synnott, Joseph Rafferty, Chris Nugent
Existing smart environment based alert solutions have adopted a relatively complex and tailored approach to supporting individuals. These solutions have involved sensor based monitoring, activity recognition and assistance provisioning. Traditionally they have suffered from a number of issues, rooted in scalability and performance, associated with complex activity recognition processes. This paper introduces a generic approach to realizing an alerting platform within a smart environment. The core concept of this approach is presented and placed within the context of related work...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227353/low-resolution-tool-tracking-for-microsurgical-training-in-a-simulated-environment
#6
Antonio Carlos Furtado, Irene Cheng, Eric Fung, Bin Zheng, Anup Basu, Antonio Carlos Furtado, Irene Cheng, Eric Fung, Bin Zheng, Anup Basu, Anup Basu, Eric Fung, Antonio Carlos Furtado, Irene Cheng, Bin Zheng
In this work, we propose a method that detects and tracks the tip of tools used in microsurgical training. This method can be used to provide valuable metrics regarding the surgeon's hand movement. It can benefit the training of surgeons, given the steep learning curve in microsurgery. Unlike past research, our tool tracking algorithm does not rely on color based measurements. Thus, it can be used in a broader domain. Also, our approach is robust to surrounding environments with non-static background, where background subtraction techniques are not suitable...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227009/a-machine-learning-framework-for-auto-classification-of-imaging-system-exams-in-hospital-setting-for-utilization-optimization
#7
Meru A Patil, Ravindra B Patil, P Krishnamoorthy, Jacob John, Meru A Patil, Ravindra B Patil, P Krishnamoorthy, Jacob John, Meru A Patil, Jacob John, Ravindra B Patil, P Krishnamoorthy
In clinical environment, Interventional X-Ray (IXR) system is used on various anatomies and for various types of the procedures. It is important to classify correctly each exam of IXR system into respective procedures and/or assign to correct anatomy. This classification enhances productivity of the system in terms of better scheduling of the Cath lab, also provides means to perform device usage/revenue forecast of the system by hospital management and focus on targeted treatment planning for a disease/anatomy...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226811/day-to-day-variability-in-hybrid-passive-brain-computer-interfaces-comparing-two-studies-assessing-cognitive-workload
#8
Samantha L Klosterman, Justin R Estepp, Jason W Monnin, James C Christensen, Samantha L Klosterman, Justin R Estepp, Jason W Monnin, James C Christensen, Jason W Monnin, Samantha L Klosterman, Justin R Estepp, James C Christensen
As hybrid, passive brain-computer interface systems become more advanced, it is important to grow our understanding of how to produce generalizable pattern classifiers of physiological data. One of the most difficult problems in applying machine learning algorithms to these data types is nonstationarity, which can evolve over the course of hours and days, and is more susceptible to changes resulting from complex cognitive function in comparison to simple, stimulus-based processes. This nonstationarity, referenced as day-to-day variability, results in the inability of many learning algorithms to generalize to new data...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226562/context-aware-fall-detection-using-inertial-sensors-and-time-of-flight-transceivers
#9
Mahesh C Shastry, Meysam Asgari, Eric A Wan, Joseph Leitschuh, Nicholas Preiser, Jon Folsom, John Condon, Michelle Cameron, Peter G Jacobs, Mahesh C Shastry, Meysam Asgari, Eric A Wan, Joseph Leitschuh, Nicholas Preiser, Jon Folsom, John Condon, Michelle Cameron, Peter G Jacobs, Michelle Cameron, Jon Folsom, Meysam Asgari, John Condon, Nicholas Preiser, Joseph Leitschuh, Peter G Jacobs, Mahesh C Shastry, Eric A Wan
Automatic detection of falls is important for enabling people who are older to safely live independently longer within their homes. Current automated fall detection systems are typically designed using inertial sensors positioned on the body that generate an alert if there is an abrupt change in motion. These inertial sensors provide no information about the context of the person being monitored and are prone to false positives that can limit their ongoing usage. We describe a fall-detection system consisting of a wearable inertial measurement unit (IMU) and an RF time-of-flight (ToF) transceiver that ranges with other ToF beacons positioned throughout a home...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226295/effect-of-the-dedicated-education-unit-on-nursing-student-self-efficacy-a-quasi-experimental-research-study
#10
Lynn E George, Lisa W Locasto, Katrina A Pyo, Thomas W Cline
Although the Dedicated Education Unit (DEU) has shown initial promise related to satisfaction with the teaching/learning environment, few studies have examined student outcomes related to the use of the DEU as a clinical education model beyond student satisfaction. The purpose of this quantitative, quasi-experimental study was to compare student outcomes from the traditional clinical education (TCE) model with those from the DEU model. Participants were students enrolled in a four-year baccalaureate program in nursing (n = 193) who had clinical education activities in one of three clinical agencies...
February 16, 2017: Nurse Education in Practice
https://www.readbyqxmd.com/read/28225034/simulating-future-value-in-intertemporal-choice
#11
Alec Solway, Terry Lohrenz, P Read Montague
The laboratory study of how humans and other animals trade-off value and time has a long and storied history, and is the subject of a vast literature. However, despite a long history of study, there is no agreed upon mechanistic explanation of how intertemporal choice preferences arise. Several theorists have recently proposed model-based reinforcement learning as a candidate framework. This framework describes a suite of algorithms by which a model of the environment, in the form of a state transition function and reward function, can be converted on-line into a decision...
February 22, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28224953/perceived-learning-needs-of-patients-with-abdominal-aortic-aneurysm
#12
Olga Nilsson, Rebecka Hultgren, Anna Letterstål
BACKGROUND: Patients undergoing surgical treatment of abdominal aortic aneurysm (AAA) should receive adequate information about the disease, treatment options, and self-care. Patients' learning needs should be acknowledged. The aim was to describe the perceived learning needs in patients with AAA. A secondary aim was to explore their experience of methods for patient education. METHODS: Three focus group interviews were conducted with 14 patients treated with open or endovascular repair of AAA...
March 2017: Journal of Vascular Nursing: Official Publication of the Society for Peripheral Vascular Nursing
https://www.readbyqxmd.com/read/28222542/ecologically-relevant-outcome-measure-for-post-inpatient-rehabilitation
#13
Carlos Marquez de la Plata, Devin Qualls, Patrick Plenger, James F Malec, Mary Ellen Hayden
BACKGROUND: Transfer of skills learned within the clinic environment to patients' home or community is important in post-inpatient brain injury rehabilitation (PBIR). Outcome measures used in PBIR assess level of independence during functional tasks; however, available functional instruments do not quantitate the environment in which the behaviors occur. OBJECTIVE: To examine the reliability and validity of an instrument used to assess patients' functional abilities while quantifying the amount of structure and distractions in the environment...
January 31, 2017: NeuroRehabilitation
https://www.readbyqxmd.com/read/28222356/extinction-of-avoidance-behavior-by-safety-learning-depends-on-endocannabinoid-signaling-in-the-hippocampus
#14
Vincenzo Micale, Jens Stepan, Angela Jurik, Fabricio A Pamplona, Rudolph Marsch, Filippo Drago, Matthias Eder, Carsten T Wotjak
The development of exaggerated avoidance behavior is largely responsible for the decreased quality of life in patients suffering from anxiety disorders. Studies using animal models have contributed to the understanding of the neural mechanisms underlying the acquisition of avoidance responses. However, much less is known about its extinction. Here we provide evidence in mice that learning about the safety of an environment (i.e., safety learning) rather than repeated execution of the avoided response in absence of negative consequences (i...
February 3, 2017: Journal of Psychiatric Research
https://www.readbyqxmd.com/read/28221085/goal-relevance-as-a-quantitative-model-of-human-task-relevance
#15
James Tanner, Laurent Itti
The concept of relevance is used ubiquitously in everyday life. However, a general quantitative definition of relevance has been lacking, especially as pertains to quantifying the relevance of sensory observations to one's goals. We propose a theoretical definition for the information value of data observations with respect to a goal, which we call "goal relevance." We consider the probability distribution of an agent's subjective beliefs over how a goal can be achieved. When new data are observed, its goal relevance is measured as the Kullback-Leibler divergence between belief distributions before and after the observation...
March 2017: Psychological Review
https://www.readbyqxmd.com/read/28220984/enacting-open-disclosure-in-the-uk-national-health-service-a-qualitative-exploration
#16
Reema Harrison, Yvonne Birks, Kate Bosanquet, Rick Iedema
BACKGROUND: Open and honest discussion between healthcare providers and patients and families affected by error is considered to be a central feature of high quality and safer patient care, evidenced by the implementation of open disclosure policies and guidance internationally. This paper discusses the perceived enablers that UK doctors and nurses report as facilitating the enactment of open disclosure. METHODS: Semistructured interviews with 13 doctors and 22 nurses from a range of levels and specialities from 5 national health service hospitals and primary care trusts in the UK were conducted and analysed using a framework approach...
February 21, 2017: Journal of Evaluation in Clinical Practice
https://www.readbyqxmd.com/read/28220721/increasing-community-research-capacity-to-address-health-disparities
#17
Goldie Komaie, Christine C Ekenga, Vetta L Sanders Thompson, Melody S Goodman
The Community Research Fellows Training program is designed to enhance capacity for community-based participatory research; program participants completed a 15-week, Master of Public Health curriculum. We conducted qualitative, semistructured interviews with 81 participants from two cohorts to evaluate the learning environment and how the program improved participants' knowledge of public health research. Key areas that provided a conducive learning environment included the once-a-week schedule, faculty and participant diversity, and community-focused homework assignments...
February 2017: Journal of Empirical Research on Human Research Ethics: JERHRE
https://www.readbyqxmd.com/read/28220477/parent-child-learning-interactions-a-review-of-the-literature-on-scaffolding
#18
Roni Mermelshtine
BACKGROUND: Scaffolding can be observed during learning-based interactions, when interventions by parents are adjusted according to children's observed abilities, with the main goal of enabling the child to work independently (Wood et al., 1976, Journal of child psychology and psychiatry, 17, 89). Such contingent instruction behaviours occur from infancy, and are said to be relevant for children's development of executive function, language acquisition, and cognitive and academic abilities...
February 21, 2017: British Journal of Educational Psychology
https://www.readbyqxmd.com/read/28218493/improving-vision-awareness-in-autism-services-evaluation-of-a-dedicated-education-programme-for-support-practitioners
#19
Joseph J Long, Maggie Butchart, Michael Brown, Janice Bain, Anne McMillan, Thanos Karatzias
BACKGROUND: The research reported here sought to evaluate whether a dedicated education programme in vision awareness improved the knowledge and skills of autism support practitioners in identifying visual impairment in autistic people with intellectual disabilities and providing better support to those individuals identified as visually impaired. METHODS: Researchers undertook a mixed methods evaluation. A survey questionnaire was devised and administered before and after training and focus groups were undertaken in order to gain qualitative data relating how practitioners implemented their learning in practice...
February 20, 2017: Journal of Applied Research in Intellectual Disabilities: JARID
https://www.readbyqxmd.com/read/28217739/grounded-and-embodied-mathematical-cognition-promoting-mathematical-insight-and-proof-using-action-and-language
#20
Mitchell J Nathan, Candace Walkington
We develop a theory of grounded and embodied mathematical cognition (GEMC) that draws on action-cognition transduction for advancing understanding of how the body can support mathematical reasoning. GEMC proposes that participants' actions serve as inputs capable of driving the cognition-action system toward associated cognitive states. This occurs through a process of transduction that promotes valuable mathematical insights by eliciting dynamic depictive gestures that enact spatio-temporal properties of mathematical entities...
2017: Cogn Res Princ Implic
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