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https://www.readbyqxmd.com/read/28227944/classification-of-squat-quality-with-inertial-measurement-units-in-the-single-leg-squat-mobility-test
#1
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/28227830/an-adaptive-model-approach-for-quantitative-wrist-rigidity-evaluation-during-deep-brain-stimulation-surgery
#2
Sofia Assis, Pedro Costa, Maria Jose Rosas, Rui Vaz, Joao Paulo Silva Cunha, Sofia Assis, Pedro Costa, Maria Jose Rosas, Rui Vaz, Joao Paulo Silva Cunha, Maria Jose Rosas, Joao Paulo Silva Cunha, Sofia Assis, Rui Vaz, Pedro Costa
Intraoperative evaluation of the efficacy of Deep Brain Stimulation includes evaluation of the effect on rigidity. A subjective semi-quantitative scale is used, dependent on the examiner perception and experience. A system was proposed previously, aiming to tackle this subjectivity, using quantitative data and providing real-time feedback of the computed rigidity reduction, hence supporting the physician decision. This system comprised of a gyroscope-based motion sensor in a textile band, placed in the patients hand, which communicated its measurements to a laptop...
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/28227784/an-analytics-based-clinical-decision-support-system-for-cvd-risk-assessment-and-management
#4
Shreya Anand, Ravindra B Patil, P Krishnamoorthy, Shreya Anand, Ravindra B Patil, P Krishnamoorthy, Shreya Anand, Ravindra B Patil, P Krishnamoorthy
Cardiovascular disease (CVD) is a major cause of disability and premature death throughout the world. Acute coronary events and other cardiovascular events frequently occur suddenly, and are often fatal before medical care can be given. Risk factor modification can reduce clinical events and premature death in people with established cardiovascular disease as well as in those who are at high cardiovascular risk due to one or more risk factors. In this work, India specific World Health Organization-International Society of Hypertension (WHO-ISH) guidelines has been implemented to stratify the subjects by their risk profile...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227727/the-effect-of-data-exchange-protocols-on-decision-support-systems-for-heart-sounds
#5
P Gomes, S Faria, M Coimbra, P Gomes, S Faria, M Coimbra, P Gomes, S Faria, M Coimbra
Heart auscultation is one of the basic exams performed during a patient physical examination, but it is also one that has a high skill ceiling. Decision support systems can provide physicians with a tool that can help to reduce the demanding skill requirements of this exam. Nevertheless, this second opinion needs to be delivered in a timely interval in order to be truly useful for a physician. To do this we need not only optimized algorithms, but also a well designed system. In this paper, we have studied how two different data exchange protocols, that define how data should be transferred from an acquisition to a process module, can impact the celerity of delivering second opinion to a physician...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227310/analysis-of-glottal-source-parameters-in-parkinsonian-speech
#6
Jane Hanratty, Catherine Deegan, Mary Walsh, Barry Kirkpatrick, Jane Hanratty, Catherine Deegan, Mary Walsh, Barry Kirkpatrick, Mary Walsh, Barry Kirkpatrick, Jane Hanratty, Catherine Deegan
Diagnosis and monitoring of Parkinson's disease has a number of challenges as there is no definitive biomarker despite the broad range of symptoms. Research is ongoing to produce objective measures that can either diagnose Parkinson's or act as an objective decision support tool. Recent research on speech based measures have demonstrated promising results. This study aims to investigate the characteristics of the glottal source signal in Parkinsonian speech. An experiment is conducted in which a selection of glottal parameters are tested for their ability to discriminate between healthy and Parkinsonian speech...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227143/csdc-a-nationwide-screening-platform-for-stroke-control-and-prevention-in-china
#7
Jinghui Yu, Huajian Mao, Mei Li, Dan Ye, Dongsheng Zhao, Jinghui Yu, Huajian Mao, Mei Li, Dan Ye, Dongsheng Zhao, Dan Ye, Huajian Mao, Mei Li, Dongsheng Zhao, Jinghui Yu
As a leading cause of severe disability and death, stroke places an enormous burden on Chinese society. A nationwide stroke screening platform called CSDC (China Stoke Data Center) has been built to support the national stroke prevention program and stroke clinical research since 2011. This platform is composed of a data integration system and a big data analysis system. The data integration system is used to collect information on risk factors, diagnosis history, treatment, and sociodemographic characteristics and stroke patients' EMR...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227051/optimal-decision-support-rules-improve-personalize-warfarin-treatment-outcomes
#8
Chih-Lin Chi, Kourosh Ravvaz, John Weissert, Peter J Tonellato, Chih-Lin Chi, Kourosh Ravvaz, John Weissert, Peter J Tonellato, Chih-Lin Chi, Kourosh Ravvaz, John Weissert, Peter J Tonellato
We tested optimization-based approaches to generate decision support rules used to improve personalized warfarin treatment based on clinical and genetic characteristics. Our approach simulated warfarin treatment outcomes using five existing treatment plans for clinical avatars (virtual patients). We used individual clinical avatar Time-in-Therapeutic-Range to represent the two-sided adverse risk to bleeding (over dosed - above therapeutic range) and thrombosis (under dosed - below therapeutic range) and as the objective function in the optimization to minimize overall risk...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227048/anticoagulation-manager-development-of-a-clinical-decision-support-mobile-application-for-management-of-anticoagulants
#9
Chih-Wen Cheng, Hang Wu, Pamela J Thompson, Julie R Taylor, Barbara A Zehnbauer, Karlyn K Wilson, May D Wang, Chih-Wen Cheng, Hang Wu, Pamela J Thompson, Julie R Taylor, Barbara A Zehnbauer, Karlyn K Wilson, May D Wang, Karlyn K Wilson, Pamela J Thompson, Barbara A Zehnbauer, Hang Wu, Julie R Taylor, Chih-Wen Cheng, May D Wang
Patients with certain clotting disorders or conditions have a greater risk of developing arterial or venous clots and downstream embolisms, strokes, and arterial insufficiency. These patients need prescription anticoagulant drugs to reduce the possibility of clot formation. However, historically, the clinical decision making workflow in determining the correct type and dosage of anticoagulant(s) is part science and part art. To address this problem, we developed Anticoagulation Manager, an intelligent clinical decision workflow management system on iOS-based mobile devices to help clinicians effectively choose the most appropriate and helpful follow-up clotting tests for patients with a common clotting profile...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227033/advanced-analytics-for-outcome-prediction-in-intensive-care-units
#10
Ali Jalali, Dieter Bender, Mohamed Rehman, Vinay Nadkanri, C Nataraj, Ali Jalali, Dieter Bender, Mohamed Rehman, Vinay Nadkanri, C Nataraj, Mohamed Rehman, Ali Jalali, Vinay Nadkanri, Dieter Bender, C Nataraj
In this paper we present a new expert knowledge based clinical decision support system for prediction of intensive care units outcome based on the physiological measurements collected during the first 48 hours of the patient's admission to the ICU. The developed CDSS algorithm is composed of several stages. First, we categorize the collected data based on the physiological organ that they represent. We then extract clinically relevant features from each data category and then rank these features based on their mutual information with the outcome...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227028/a-data-model-to-support-the-evaluation-of-coordinating-care-eu-programmes-in-the-context-of-the-act-programme
#11
P Natsiavas, D Filos, I Chouvarda, Ch Maramis, R van der Heijden, H Schonenberg, S Pauws, C Bescos, N Maglaveras, P Natsiavas, D Filos, I Chouvarda, C Maramis, R van der Heijden, H Schonenberg, S Pauws, C Bescos, N Maglaveras, R van der Heijden, P Natsiavas, S Pauws, Ch Maramis, C Bescos, D Filos, N Maglaveras, I Chouvarda, H Schonenberg
Advancing Care Coordination and Telehealth Deployment (ACT) is a European Union (EU) project, completed last October, which has developed a framework for evaluating and improving pioneering health care programs regarding coordinating care and telehealth (CC & TH) across specific EU regions. In this paper we present the key design decisions of the project's data model and the challenges faced. We focus on the definition of the multi-dimensional indicators in order to overcome data incompleteness and heterogeneity issues...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227024/sensor-data-quality-processing-for-vital-signs-with-opportunistic-ambient-sensing
#12
Ibrahim Sadek, Jit Biswas, Zhu Yongwei, Zhang Haihong, Jayachandran Maniyeri, Chen Zhihao, Teo Ju Teng, Ng Soon Huat, Mounir Mokhtari, Ibrahim Sadek, Jit Biswas, Zhu Yongwei, Zhang Haihong, Jayachandran Maniyeri, Chen Zhihao, Teo Ju Teng, Ng Soon Huat, Mounir Mokhtari
Opportunistic ambient sensing involves placement of sensors appropriately so that intermittent contact can be made unobtrusively for gathering physiological signals for vital signs. In this paper, we discuss the results of our quality processing system used to extract heart rate from ballisto-cardiogram signals obtained from a micro-bending fiber optic sensor pressure mat. Visual inspection is used to label data into informative and non-informative classes based on their heart rate information. Five classifiers are employed for the classification process, i...
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
#13
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/28226618/eeg-based-driver-fatigue-detection-using-hybrid-deep-generic-model
#14
Phyo Phyo San, Sai Ho Ling, Rifai Chai, Yvonne Tran, Ashley Craig, Hung Nguyen, Phyo Phyo San, Sai Ho Ling, Rifai Chai, Yvonne Tran, Ashley Craig, Hung Nguyen, Ashley Craig, Sai Ho Ling, Hung Nguyen, Phyo Phyo San, Yvonne Tran, Rifai Chai
Classification of electroencephalography (EEG)-based application is one of the important process for biomedical engineering. Driver fatigue is a major case of traffic accidents worldwide and considered as a significant problem in recent decades. In this paper, a hybrid deep generic model (DGM)-based support vector machine is proposed for accurate detection of driver fatigue. Traditionally, a probabilistic DGM with deep architecture is quite good at learning invariant features, but it is not always optimal for classification due to its trainable parameters are in the middle layer...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28225742/review-of-military-and-civilian-trauma-registries-does-consensus-matter
#15
Thijs T C F van Dongen, Johan de Graaf, Eelco P Huizinga, Howard R Champion, Rigo Hoencamp, Luke P H Leenen
BACKGROUND: Structural collection of data from combat injuries is important to improve provided care and the outcome of (combat) casualties. Trauma registries are used in civilian and military health care systems for systematic administration of injury data. However, these registries often use different methods of data management, compromising international comparison of trauma systems. The aim of this review is to aid in reaching international (coalition-wide) consensus for compatible data collection methods with uniform definitions, which is needed for transnational research and subsequent improvement of medical support organizations...
March 2017: Journal of Trauma and Acute Care Surgery
https://www.readbyqxmd.com/read/28225511/treatment-satisfaction-in-systemic-lupus-erythematosus-development-of-a-patient-reported-outcome-measure
#16
Susan D Mathias, Pamela Berry, Katie Pascoe, Jane de Vries, Anca D Askanase, Hilary H Colwell, David J Chang
OBJECTIVE: The aim of this study was to develop a patient-reported outcome measure specific for systemic lupus erythematosus (SLE) to assess patient satisfaction with treatment, treatment options, and medical care. METHODS: Patients with SLE were recruited from four US rheumatology practices. Concept elicitation interviews identified aspects that patients considered important and relevant regarding satisfaction with treatment and medical care. Concept elicitation interviews and clinical input were used to draft the Lupus Satisfaction Questionnaire (LSQ)...
March 2017: Journal of Clinical Rheumatology: Practical Reports on Rheumatic & Musculoskeletal Diseases
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
#17
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/28224995/genetics-of-eosinophilic-esophagitis
#18
REVIEW
L C Kottyan, M E Rothenberg
Eosinophilic esophagitis (EoE) is a chronic, allergic disease associated with marked mucosal eosinophil accumulation. EoE disease risk is multifactorial and includes environmental and genetic factors. This review will focus on the contribution of genetic variation to EoE risk, as well as the experimental tools and statistical methodology used to identify EoE risk loci. Specific disease-risk loci that are shared between EoE and other allergic diseases (TSLP, LRRC32) or unique to EoE (CAPN14), as well as Mendellian Disorders associated with EoE, will be reviewed in the context of the insight that they provide into the molecular pathoetiology of EoE...
February 22, 2017: Mucosal Immunology
https://www.readbyqxmd.com/read/28224645/clinical-decision-support-systems-differ-in-their-ability-to-identify-clinically-relevant-drug-interactions-of-immunosuppressants-in-kidney-transplant-patients
#19
J Amkreutz, A Koch, L Buendgens, C Trautwein, A Eisert
WHAT IS KNOWN AND OBJECTIVE: In kidney transplant patients, clinically relevant drug-drug interactions (DDIs) with immunosuppressants potentially lead to serious adverse drug events (ADEs). The aim of this study was (i) to show that five clinical decision support systems (CDSSs) differ in their ability to identify clinically relevant potential DDIs (pDDIs) of immunosuppressants in kidney transplant patients and (ii) to compare CDSSs in terms of their ability to identify clinically relevant pDDIs in this context...
February 21, 2017: Journal of Clinical Pharmacy and Therapeutics
https://www.readbyqxmd.com/read/28224621/laboratory-assessment-of-sudden-sensorineural-hearing-loss-a-case-control-study
#20
Tommaso Fasano, Thelma A Pertinhez, Lorenzo Tribi, Daniela Lasagni, Annalisa Pilia, Luigi Vecchia, Roberto Baricchi, Giovanni Bianchin
OBJECTIVES/HYPOTHESIS: Sudden sensorineural hearing loss (SSHL) is an otologic emergency that affects five to 30 subjects per 100,000/year. The cause of SSHL remains unknown or uncertain in 70% to 90% of cases, and treatment decisions are usually made without knowing the etiology. STUDY DESIGN: Prospective case-control study. METHODS: One hundred thirty-one idiopathic SSHL patients were recruited from January 2014 to June 2015 in concordance with the Statements of Clinical Practice Guideline and divided into groups according to the disease severity...
February 22, 2017: Laryngoscope
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