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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/28227944/classification-of-squat-quality-with-inertial-measurement-units-in-the-single-leg-squat-mobility-test
#2
Rezvan Kianifar, Alex Lee, Sachin Raina, Dana Kulic, Rezvan Kianifar, Alex Lee, Sachin Raina, Dana Kulic, Alex Lee, Sachin Raina, Dana Kulic, Rezvan Kianifar
Many assessment and diagnosis protocols in rehabilitation, orthopedic surgery and sports medicine rely on mobility tests like the Single Leg Squat (SLS). In this study, a set of three Inertial Measurement Units (IMUs) were used to estimate the joint pose during SLS and to classify the SLS as poor, moderate or good. An Extended Kalman Filter pose estimation method was used to estimate kinematic joint variables, and time domain features were generated based on these variables. The most important features were then selected and used to train Support Vector Machine (SVM), Linear Multinomial Logistic Regression, and Decision Tree classifiers...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227788/lessons-learnt-from-a-mooc-about-social-media-for-digital-health-literacy
#3
Suleman Atique, Mowafa Hosueh, Luis Fernandez-Luque, Elia Gabarron, Marian Wan, Onkar Singh, Vicente Traver Salcedo, Yu-Chuan Jack Li, Syed-Abdul Shabbir, Suleman Atique, Mowafa Hosueh, Luis Fernandez-Luque, Elia Gabarron, Marian Wan, Onkar Singh, Vicente Traver Salcedo, Yu-Chuan Jack Li, Syed-Abdul Shabbir, Elia Gabarron, Marian Wan, Mowafa Hosueh, Luis Fernandez-Luque, Onkar Singh, Syed-Abdul Shabbir, Yu-Chuan Jack Li, Vicente Traver Salcedo, Suleman Atique
Nowadays, the Internet and social media represent prime channels for health information seeking and peer support. However, benefits of health social media can be reduced by low digital health literacy. We designed a massive open online course (MOOC) course about health social media to increase the students' digital health literacy. In this course, we wanted to explore the difficulties confronted by the MOOC users in relation to accessing quality online health information and to propose methods to overcome the issues...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227617/detection-of-chewing-from-piezoelectric-film-sensor-signals-using-ensemble-classifiers
#4
Muhammad Farooq, Edward Sazonov, Muhammad Farooq, Edward Sazonov, Muhammad Farooq, Edward Sazonov
Selection and use of pattern recognition algorithms is application dependent. In this work, we explored the use of several ensembles of weak classifiers to classify signals captured from a wearable sensor system to detect food intake based on chewing. Three sensor signals (Piezoelectric sensor, accelerometer, and hand to mouth gesture) were collected from 12 subjects in free-living conditions for 24 hrs. Sensor signals were divided into 10 seconds epochs and for each epoch combination of time and frequency domain features were computed...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227388/learning-to-distinguish-cerebral-vasculature-data-from-mechanical-chatter-in-india-ink-images-acquired-using-knife-edge-scanning-microscopy
#5
Michael R Nowak, Yoonsuck Choe, Michael R Nowak, Yoonsuck Choe, Michael R Nowak, Yoonsuck Choe
We introduce a simple, yet effective, procedure for accurate classification of connected components embedded in biological images. In our method, a training set is generated from user-delineated features of manually-labeled examples; we subsequently train a classifier using the resultant training set. The overall process is described using imaging data acquired from an India-ink perfused C57BL/6J mouse brain using Knife Edge Scanning Microscopy. We illustrate the procedure through segmentation of cerebral vasculature structures from mechanical noise using trained classifiers...
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
#6
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/28227144/optimal-medication-dosing-from-suboptimal-clinical-examples-a-deep-reinforcement-learning-approach
#7
Shamim Nemati, Mohammad M Ghassemi, Gari D Clifford, Shamim Nemati, Mohammad M Ghassemi, Gari D Clifford, Gari D Clifford, Mohammad M Ghassemi
Misdosing medications with sensitive therapeutic windows, such as heparin, can place patients at unnecessary risk, increase length of hospital stay, and lead to wasted hospital resources. In this work, we present a clinician-in-the-loop sequential decision making framework, which provides an individualized dosing policy adapted to each patient's evolving clinical phenotype. We employed retrospective data from the publicly available MIMIC II intensive care unit database, and developed a deep reinforcement learning algorithm that learns an optimal heparin dosing policy from sample dosing trails and their associated outcomes in large electronic medical records...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226966/measuring-the-quality-of-exercises
#8
Paritosh Parmar, Brendan Tran Morris, Paritosh Parmar, Brendan Tran Morris, Paritosh Parmar, Brendan Tran Morris
This work explores the problem of exercise quality measurement since it is essential for effective management of diseases like cerebral palsy (CP). This work examines the assessment of quality of large amplitude movement (LAM) exercises designed to treat CP in an automated fashion. Exercise data was collected by trained participants to generate ideal examples to use as a positive samples for machine learning. Following that, subjects were asked to deliberately make subtle errors during the exercise, such as restricting movements, as is commonly seen in cases of patients suffering from CP...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226754/pixel-based-skin-segmentation-in-psoriasis-images
#9
Y George, M Aldeen, R Garnavi, Y George, M Aldeen, R Garnavi, M Aldeen, Y George, R Garnavi
In this paper, we present a detailed comparison study of skin segmentation methods for psoriasis images. Different techniques are modified and then applied to a set of psoriasis images acquired from the Royal Melbourne Hospital, Melbourne, Australia, with aim of finding the best technique suited for application to psoriasis images. We investigate the effect of different colour transformations on skin detection performance. In this respect, explicit skin thresholding is evaluated with three different decision boundaries (CbCr, HS and rgHSV)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226742/a-cnn-based-neurobiology-inspired-approach-for-retinal-image-quality-assessment
#10
Dwarikanath Mahapatra, Pallab K Roy, Suman Sedai, Rahil Garnavi, Dwarikanath Mahapatra, Pallab K Roy, Suman Sedai, Rahil Garnavi, Suman Sedai, Pallab K Roy, Rahil Garnavi, Dwarikanath Mahapatra
Retinal image quality assessment (IQA) algorithms use different hand crafted features for training classifiers without considering the working of the human visual system (HVS) which plays an important role in IQA. We propose a convolutional neural network (CNN) based approach that determines image quality using the underlying principles behind the working of the HVS. CNNs provide a principled approach to feature learning and hence higher accuracy in decision making. Experimental results demonstrate the superior performance of our proposed algorithm over competing methods...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226563/real-time-measures-of-context-to-improve-fall-detection-models
#11
Holly B Jimison, Misha Pavel, Holly B Jimison, Misha Pavel, Holly B Jimison, Misha Pavel
Real-time fall detection has been a challenging area of research and even more challenging as a viable commercial service, given the need for near perfect classification algorithms. True fall events are rare is monitored data sets, whereas confounding events for automated algorithms are quite frequent. In this paper we describe a decision theoretic approach to classification and alerting that incorporates context, such as location and activities, to improve probability and utility estimates for new classes, including near falls and known confounding events...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226332/responsible-safe-and-effective-prescription-of-opioids-for-chronic-non-cancer-pain-american-society-of-interventional-pain-physicians-asipp-guidelines
#12
Laxmaiah Manchikanti, Adam M Kaye, Nebojsa Nick Knezevic, Heath McAnally, Konstantin Slavin, Andrea M Trescot, Susan Blank, Vidyasagar Pampati, Salahadin Abdi, Jay S Grider, Alan D Kaye, Kavita N Manchikanti, Harold Cordner, Christopher G Gharibo, Michael E Harned, Sheri L Albers, Sairam Atluri, Steve M Aydin, Sanjay Bakshi, Robert L Barkin, Ramsin M Benyamin, Mark V Boswell, Ricardo M Buenaventura, Aaron K Calodney, David L Cedeno, Sukdeb Datta, Timothy R Deer, Bert Fellows, Vincent Galan, Vahid Grami, Hans Hansen, Standiford Helm Ii, Rafael Justiz, Dhanalakshmi Koyyalagunta, Yogesh Malla, Annu Navani, Kent H Nouri, Ramarao Pasupuleti, Nalini Sehgal, Sanford M Silverman, Thomas T Simopoulos, Vijay Singh, Daneshvari R Solanki, Peter S Staats, Ricardo Vallejo, Bradley W Wargo, Arthur Watanabe, Joshua A Hirsch
BACKGROUND: Opioid use, abuse, and adverse consequences, including death, have escalated at an alarming rate since the 1990s. In an attempt to control opioid abuse, numerous regulations and guidelines for responsible opioid prescribing have been developed by various organizations. However, the US opioid epidemic is continuing and drug dose deaths tripled during 1999 to 2015. Recent data show a continuing increase in deaths due to natural and semisynthetic opioids, a decline in methadone deaths, and an explosive increase in the rates of deaths involving other opioids, specifically heroin and illicit synthetic fentanyl...
February 2017: Pain Physician
https://www.readbyqxmd.com/read/28225312/perspectives-on-learning-and-clinical-practice-improvement-for-diabetes-in-the-hospital-a-review-of-educational-interventions-for-providers
#13
Ariana Pichardo-Lowden, Paul Haidet, Guillermo E Umpierrez
BACKGROUND: The management inpatient hyperglycemia and diabetes requires expertise among many healthcare providers. There is limited evidence about how education for healthcare providers can result in optimization of clinical outcomes. The purpose of this critical review of the literature is to examine methods and outcomes related to educational interventions regarding the management of diabetes and dysglycemia in the hospital setting. This report provides recommendations to advance learning, curricular planning and clinical practice...
February 22, 2017: Endocrine Practice
https://www.readbyqxmd.com/read/28222579/effects-of-a-small-sided-game-based-training-programme-on-repeated-sprint-and-change-of-direction-abilities-in-recreationally-trained-football-players
#14
Pascual Bujalance-Moreno, Felipe García-Pinillos, Pedro Á Latorre-Román
BACKGROUND: To examine the effects of 6-week periodized small-sided game (SSG) training intervention on change of direction [COD], sprint and repeated sprint ability [RSA] in recreational male football players. METHODS: Twenty-three young football players (age: 20.86 years) were randomized in a control group (n = 11) and an experimental group (n = 12). The SSG programme was included in the experimental group's training sessions. The players completed two variations of a SSG (i...
February 21, 2017: Journal of Sports Medicine and Physical Fitness
https://www.readbyqxmd.com/read/28222101/costs-and-effects-of-a-state-wide-health-promotion-program-in-primary-schools-in-germany-the-baden-w%C3%A3-rttemberg-study-a-cluster-randomized-controlled-trial
#15
Dorothea Kesztyüs, Romy Lauer, Tibor Kesztyüs, Reinhold Kilian, Jürgen M Steinacker
AIM: To evaluate the cost-effectiveness of the state-wide implementation of the health promotion program "Join the Healthy Boat" in primary schools in Germany. METHODS: Cluster-randomized intervention trial with wait-list control group. Anthropometric data of 1733 participating children (7.1 ± 0.6 years) were taken by trained staff before and after a one year intervention period in the academic year 2010/11. Parents provided information about the health status, and the health behaviour of their children and themselves, parental anthropometrics, and socio-economic background variables...
2017: PloS One
https://www.readbyqxmd.com/read/28221967/assessment-of-risk-communication-about-undercooked-hamburgers-by-restaurant-servers
#16
Ellen M Thomas, Andrew R Binder, Anne McLAUGHLIN, Lee-Ann Jaykus, Dana Hanson, Douglas Powell, Benjamin Chapman
According to the U.S. Food and Drug Administration 2013 Model Food Code, it is the duty of a food establishment to disclose and remind consumers of risk when ordering undercooked food such as ground beef. The purpose of this study was to explore actual risk communication behaviors of food establishment servers. Secret shoppers visited 265 restaurants in seven geographic locations across the United States, ordered medium rare burgers, and collected and coded risk information from chain and independent restaurant menus and from server responses...
December 2016: Journal of Food Protection
https://www.readbyqxmd.com/read/28220187/-emergency-medical-training-through-simulation-always-the-same-for-everyone
#17
A Schaumberg, T Schröder, M Sander
Simulation assumes a growing importance in the field of emergency medical education. Many rescue service schools work with simulators or even have their own simulation center. Classic resuscitation training in the classroom is increasingly being replaced by realistic case scenarios. But simulators themselves do not train! Using a simulator in emergency medical training does not necessarily mean achieving sustained learning success among the participants. Depending on the skills, abilities or competences being taught, there seems to be different requirements for simulation...
February 20, 2017: Der Anaesthesist
https://www.readbyqxmd.com/read/28219392/meaning-and-barriers-to-quality-care-service-provision-in-child-and-adolescent-mental-health-services-qualitative-study-of-stakeholder-perspectives
#18
Nadzeya Svirydzenka, Pablo Ronzoni, Nisha Dogra
BACKGROUND: Defining quality in health presents many challenges. The Institute of Medicine (IOM) defined quality clinical care as care that is equitable, timely, safe, efficient, effective and patient centred. However, it is not clear how different stakeholders within a child and adolescent mental health service (CAMHS) understand and/or apply this framework. This project aims to identify key stakeholders" understanding of the meaning of quality in the context of CAMHS. METHOD: The study sample comprised of three groups: (i) patients and carers, (ii) CAMHS clinical staff, and (iii) commissioners (Total N = 24)...
February 20, 2017: BMC Health Services Research
https://www.readbyqxmd.com/read/28218025/dental-implants-and-incisor-bridge-placement-in-a-dog
#19
Rocco E Mele, Anthony Caiafa, Gregori M Kurtzman
Veterinary dentistry has tended to follow the trends and advancements in the human dental field. As for any procedure performed on a patient, whether human or animal, an informed decision is based on the available evidence regarding treatment options. This is certainly true for the more involved treatments in veterinary dentistry which can include the disciplines of endodontics and dental implantology. A number of published case reports have been accepted by the specialty that endodontic therapy is indeed a predictable and a valuable service that can be offered to pet owners...
December 2016: Journal of Veterinary Dentistry
https://www.readbyqxmd.com/read/28217876/identifying-primary-care-pathways-from%C3%A2-quality-of-care-to-outcomes-and-satisfaction-using-structural-equation-modeling
#20
Ignacio Ricci-Cabello, Sarah Stevens, Andrew R H Dalton, Robert I Griffiths, John L Campbell, Jose M Valderas
OBJECTIVE: To study the relationships between the different domains of quality of primary health care for the evaluation of health system performance and for informing policy decision making. DATA SOURCES: A total of 137 quality indicators collected from 7,607 English practices between 2011 and 2012. STUDY DESIGN: Cross-sectional study at the practice level. Indicators were allocated to subdomains of processes of care ("quality assurance," "education and training," "medicine management," "access," "clinical management," and "patient-centered care"), health outcomes ("intermediate outcomes" and "patient-reported health status"), and patient satisfaction...
February 19, 2017: Health Services Research
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