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https://www.readbyqxmd.com/read/28227981/assessment-of-sedation-analgesia-by-means-of-poincare%C3%AC-analysis-of-the-electroencephalogram
#1
Jose D Bolanos, Montserrat Vallverdu, Pere Caminal, Daniel F Valencia, Xavi Borrat, Pedro L Gambus, Jose F Valencia, Jose D Bolanos, Montserrat Vallverdu, Pere Caminal, Daniel F Valencia, Xavi Borrat, Pedro L Gambus, Jose F Valencia, Jose D Bolanos, Xavi Borrat, Jose F Valencia, Montserrat Vallverdu, Pere Caminal, Pedro L Gambus, Daniel F Valencia
Monitoring the levels of sedation-analgesia may be helpful for managing patient stress on minimally invasive medical procedures. Monitors based on EEG analysis and designed to assess general anesthesia cannot distinguish reliably between a light and deep sedation. In this work, the Poincaré plot is used as a nonlinear technique applied to EEG signals in order to characterize the levels of sedation-analgesia, according to observed categorical responses that were evaluated by means of Ramsay Sedation Scale (RSS)...
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
#2
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/28227722/alzcare-an-information-system-for-screening-management-and-tracking-of-demented-patients
#3
Vasilios Protopappas, Konstantinos Tsiouris, Maria Chondrogiorgi, Christos Tsironis, Spiridon Konitsiotis, Dimitrios I Fotiadis, Vasilios Protopappas, Konstantinos Tsiouris, Maria Chondrogiorgi, Christos Tsironis, Spiridon Konitsiotis, Dimitrios I Fotiadis, Spiridon Konitsiotis, Dimitrios I Fotiadis, Vasilios Protopappas, Konstantinos Tsiouris, Maria Chondrogiorgi, Christos Tsironis
The ALZCARE project aims at assisting people at risk or already suffering of dementia, their family and health professionals in the dementia care pathway by providing an integrated ICT-enabled information System. The system consists of a mobile platform for screening people at risk, a Clinical Information System and a satellite-based patient tracking system. The system is currently on the evaluation phase focusing on addressing the needs of citizens of the cross-border areas of Greece and Albania.
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227593/an-rf-based-wearable-sensor-system-for-indoor-tracking-to-facilitate-efficient-healthcare-management
#4
Yuzhe Ouyang, Kai Shan, Francis Minhthang Bui, Yuzhe Ouyang, Kai Shan, Francis Minhthang Bui, Yuzhe Ouyang, Kai Shan, Francis Minhthang Bui
To understand the utilization of clinical resources and improve the efficiency of healthcare, it is often necessary to accurately locate patients and doctors in a healthcare facility. However, existing tracking methods, such as GPS, Wi-Fi and RFID, have technological drawbacks or impose significant costs, thus limiting their applications in many clinical environments, especially those with indoor enclosures. This paper proposes a low-cost and flexible tracking system that is well suited for operating in an indoor environment...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227484/design-of-peripheral-edema-measurement-device-for-home-use
#5
Stephanie M George, Brandon D Langley, Elizabeth M B Weaver, Sonya R Hardin, Jianchu Yao, Stephanie M George, Brandon D Langley, Elizabeth M B Weaver, Sonya R Hardin, Jianchu Yao, Brandon D Langley, Elizabeth M B Weaver, Jianchu Yao, Sonya R Hardin, Stephanie M George
Due to improvements in cardiovascular care, more patients are living longer but ultimately developing heart failure. It is important for patients with chronic conditions, like heart failure, to self-manage and monitor their symptoms. One symptoms that can be indicative of worsening heart failure is peripheral edema. Therefore, we present a concept for a HeartSMART system capable of edema measurement in the home with remote connection to and feedback from providers. The goal of the system is to provide a tool for heart failure patients to manage their disease...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227337/prediction-of-the-outcome-in-cardiac-arrest-patients-undergoing-hypothermia-using-eeg-wavelet-entropy
#6
Hana Moshirvaziri, Nima Ramezan-Arab, Shadnaz Asgari, Hana Moshirvaziri, Nima Ramezan-Arab, Shadnaz Asgari, Hana Moshirvaziri, Nima Ramezan-Arab, Shadnaz Asgari
Cardiac arrest (CA) is the leading cause of death in the United States. Induction of hypothermia has been found to improve the functional recovery of CA patients after resuscitation. However, there is no clear guideline for the clinicians yet to determine the prognosis of the CA when patients are treated with hypothermia. The present work aimed at the development of a prognostic marker for the CA patients undergoing hypothermia. A quantitative measure of the complexity of Electroencephalogram (EEG) signals, called wavelet sub-band entropy, was employed to predict the patients' outcomes...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227328/effect-of-importance-sampling-on-robust-segmentation-of-audio-cough-events-in-noisy-environments
#7
Jesus Monge-Alvarez, Carlos Hoyos-Barcelo, Paul Lesso, Javier Escudero, Keshav Dahal, Pablo Casaseca-de-la-Higuera, Jesus Monge-Alvarez, Carlos Hoyos-Barcelo, Paul Lesso, Javier Escudero, Keshav Dahal, Pablo Casaseca-de-la-Higuera, Javier Escudero, Jesus Monge-Alvarez, Keshav Dahal, Carlos Hoyos-Barcelo, Pablo Casaseca-De-La-Higuera, Paul Lesso
This paper proposes a new cough detection system based on audio signals acquired from conventional smartphones. The system relies on local Hu moments to characterize cough events and a Λ-NN classifier to distinguish cough events from non-cough ones (speech, laugh, sneeze, etc.) and noisy sounds. To deal with the unbalance between classes, we employ Distinct-Borderline2 Synthetic Minority Oversampling Technique and a bespoke cost matrix. The system additionally features a post-processing module to avoid isolated false negatives and, this way, increases sensitivity...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227248/the-precuneus-may-encode-irrationality-in-human-gambling
#8
P Sacre, M S D Kerr, S Subramanian, K Kahn, J Gonzalez-Martinez, M A Johnson, S V Sarma, J T Gale, P Sacre, M S D Kerr, S Subramanian, K Kahn, J Gonzalez-Martinez, M A Johnson, S V Sarma, J T Gale, S Subramanian, M S D Kerr, M A Johnson, J T Gale, K Kahn, P Sacre, S V Sarma, J Gonzalez-Martinez
Humans often make irrational decisions, especially psychiatric patients who have dysfunctional cognitive and emotional circuitry. Understanding the neural basis of decision-making is therefore essential towards patient management, yet current studies suffer from several limitations. Functional magnetic resonance imaging (fMRI) studies in humans have dominated decision-making neuroscience, but have poor temporal resolution and the blood oxygenation level-dependent signal is only a proxy for neural activity. On the other hand, lesion studies in humans used to infer functionality in decision-making lack characterization of neural activity altogether...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227227/multi-task-transfer-learning-for-in-hospital-death-prediction-of-icu-patients
#9
Chandan Karmakar, Budhaditya Saha, Marimuthu Palaniswami, Svetha Venkatesh, Chandan Karmakar, Budhaditya Saha, Marimuthu Palaniswami, Svetha Venkatesh, Budhaditya Saha, Marimuthu Palaniswami, Svetha Venkatesh, Chandan Karmakar
Multi-Task Transfer Learning (MTTL) is an efficient approach for learning from inter-related tasks with small sample size and imbalanced class distribution. Since the intensive care unit (ICU) data set (publicly available in Physionet) has subjects from four different ICU types, we hypothesize that there is an underlying relatedness amongst various ICU types. Therefore, this study aims to explore MTTL model for in-hospital mortality prediction of ICU patients. We used single-task learning (STL) approach on the augmented data as well as individual ICU data and compared the performance with the proposed MTTL model...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227217/acceptability-of-a-team-based-mobile-health-mhealth-application-for-lifestyle-self-management-in-individuals-with-chronic-illnesses
#10
Andrea L Hartzler, Anusha Venkatakrishnan, Shiwali Mohan, Michael Silva, Paula Lozano, James D Ralston, Evette Ludman, Dori Rosenberg, Katherine M Newton, Lester Nelson, Peter Pirolli, Andrea L Hartzler, Anusha Venkatakrishnan, Shiwali Mohan, Michael Silva, Paula Lozano, James D Ralston, Evette Ludman, Dori Rosenberg, Katherine M Newton, Lester Nelson, Peter Pirolli, Dori Rosenberg, James D Ralston, Evette Ludman, Katherine M Newton, Lester Nelson, Anusha Venkatakrishnan, Shiwali Mohan, Michael Silva, Paula Lozano, Peter Pirolli, Andrea L Hartzler
With increased incidence of chronic illnesses arising due to unhealthy lifestyle habits, it is increasingly important to leverage technology applications to promote and sustain health behavior change. We developed a smartphone-based application, NutriWalking (NW), which recommends personalized daily exercise goals and promotes healthy nutritional habits in small peer teams. Here, we demonstrate an early study of usability and acceptability of this app in patients with type 2 Diabetes Mellitus and Depression...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227145/towards-an-implantable-bio-sensor-platform-for-continuous-real-time-monitoring-of-anti-epileptic-drugs
#11
Abbas Hammoud, Ahmad Chamseddine, Dang K Nguyen, Mohamad Sawan, Abbas Hammoud, Ahmad Chamseddine, Dang K Nguyen, Mohamad Sawan, Mohamad Sawan, Abbas Hammoud, Dang K Nguyen
The need of continuous real-time monitoring device for in-vivo drug level detection has been widely articulated lately. Such monitoring could guide drug posology and timing of intake, detect low or high drug levels, in order to take adequate measures, and give clinicians a valuable window into patients' health and their response to therapeutics. This paper presents a novel implantable bio-sensor based on impedance measurement capable of continuously monitoring various antiepileptic drug levels. This portable point-of-care microsystem replaces large and stationary conventional macrosystems, and is a one of a kind system designed with an array of electrodes to monitor various anti-epileptic drugs rather than one drug...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227141/deep-neural-network-architectures-for-forecasting-analgesic-response
#12
Paul Nickerson, Patrick Tighe, Benjamin Shickel, Parisa Rashidi, Paul Nickerson, Patrick Tighe, Benjamin Shickel, Parisa Rashidi, Parisa Rashidi, Paul Nickerson, Patrick Tighe, Benjamin Shickel
Response to prescribed analgesic drugs varies between individuals, and choosing the right drug/dose often involves a lengthy, iterative process of trial and error. Furthermore, a significant portion of patients experience adverse events such as post-operative urinary retention (POUR) during inpatient management of acute postoperative pain. To better forecast analgesic responses, we compared conventional machine learning methods with modern neural network architectures to gauge their effectiveness at forecasting temporal patterns of postoperative pain and analgesic use, as well as predicting the risk of POUR...
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
#13
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/28227041/deformable-resection-process-map-for-intraoperative-cutting-guides
#14
Megumi Nakao, Kojiro Taura, Tetsuya Matsuda, Megumi Nakao, Kojiro Taura, Tetsuya Matsuda, Megumi Nakao, Kojiro Taura, Tetsuya Matsuda
In this paper, we will introduce the concept of deformable resection process mapping as a time-varying geometric guide for soft tissue tumor resection procedures. The deformable resection process map (RPM) estimates the local appearance of vascular structures after cuts as a novel guide. The RPM can be directly generated from patient-specific medical images using volumetric resampling techniques. Since user input of some cutting points is the only requirement for generating the RPM, the developed software will be directly available for clinical use to preview surgical procedures and intraoperative workflow management without time-consuming setups or additional workloads...
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
#15
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/28226989/a-novel-portable-low-cost-kinect-based-system-for-motion-analysis-in-neurological-diseases
#16
Joao Paulo Silva Cunha, Ana Patricia Rocha, Hugo Miguel Pereira Choupina, Jose Maria Fernandes, Maria Jose Rosas, Rui Vaz, Felix Achilles, Anna Mira Loesch, Christian Vollmar, Elisabeth Hartl, Soheyl Noachtar, Joao Paulo Silva Cunha, Ana Patricia Rocha, Hugo Miguel Pereira Choupina, Jose Maria Fernandes, Maria Jose Rosas, Rui Vaz, Felix Achilles, Anna Mira Loesch, Christian Vollmar, Elisabeth Hartl, Soheyl Noachtar, Christian Vollmar, Ana Patricia Rocha, Elisabeth Hartl, Rui Vaz, Hugo Miguel Pereira Choupina, Soheyl Noachtar, Felix Achilles, Anna Mira Loesch, Jose Maria Fernandes, Joao Paulo Silva Cunha, Maria Jose Rosas
Many neurological diseases, such as Parkinson's disease and epilepsy, can significantly impair the motor function of the patients, often leading to a dramatic loss of their quality of life. Human motion analysis is regarded as fundamental towards an early diagnosis and enhanced follow-up in this type of diseases. In this contribution, we present NeuroKinect, a novel system designed for motion analysis in neurological diseases. This system includes an RGB-D camera (Microsoft Kinect) and two integrated software applications, KiT (KinecTracker) and KiMA (Kinect Motion Analyzer)...
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
#17
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/28226965/distinguishing-obstructive-from-central-sleep-apneas-and-hypopneas-using-linear-svm-and-acoustic-features
#18
Richard Hummel, T Douglas Bradley, Devin Packer, Hisham Alshaer, Richard Hummel, T Douglas Bradley, Devin Packer, Hisham Alshaer, Devin Packer, T Douglas Bradley, Hisham Alshaer, Richard Hummel
Sleep Apnea (SA) is a very common but underdiagnosed respiratory disorder. SA has 2 main types, obstructive and central sleep apnea (OSA and CSA, respectively). The distinction between the 2 types is important for proper clinical management. Our aim in this study was to deploy acoustic analysis of breath sounds to distinguish central from obstructive events. We recorded breath sounds from 29 patients from which 45 segments with obstructive only and 40 segments with central only respiratory events were isolated...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226872/multimodel-quantitative-analysis-of-somatosensory-evoked-potentials-after-cardiac-arrest-with-graded-hypothermia
#19
Leanne Moon Young, Rishabh Choudhary, Xiaofeng Jia, Leanne Moon Young, Rishabh Choudhary, Xiaofeng Jia, Xiaofeng Jia, Leanne Moon Young, Rishabh Choudhary
Cardiac arrest (CA) is one of the most prominent causes of morbidity and mortality in adults. Therapeutic hypothermia (TH) is a recommended treatment to improve survival and functional outcome following CA, however, it is unclear what degree of TH is most beneficial. It has been suggested that TH of 33°C provides no survival or outcome benefits over TH of 36°C. Additionally, there is a lack of verified objective quantitative prognostic tools for comatose CA patients under TH. In this study, we calculated three quantitative markers of somatosensory evoked potentials (SSEP) to examine their potential to track recovery in the early period following CA under graded TH...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226585/monitoring-of-motor-and-non-motor-symptoms-of-parkinson-s-disease-through-a-mhealth-platform
#20
Jorge Cancela, Samanta Villanueva Mascato, Dimitrios Gatsios, George Rigas, Andrea Marcante, Giovanni Gentile, Roberta Biundo, Manuela Giglio, Maria Chondrogiorgi, Robert Vilzmann, Spyros Konitsiotis, Angelo Antonini, Maria T Arredondo, Dimitrios I Fotiadis, Jorge Cancela, Samanta Villanueva Mascato, Dimitrios Gatsios, George Rigas, Andrea Marcante, Giovanni Gentile, Roberta Biundo, Manuela Giglio, Maria Chondrogiorgi, Robert Vilzmann, Spyros Konitsiotis, Angelo Antonini, Maria T Arredondo, Dimitrios I Fotiadis, Samanta Villanueva Mascato, Maria T Arredondo, Angelo Antonini, Dimitrios Gatsios, Jorge Cancela, Robert Vilzmann, Giovanni Gentile, George Rigas, Andrea Marcante, Roberta Biundo, Spyros Konitsiotis, Maria Chondrogiorgi, Dimitrios I Fotiadis, Manuela Giglio
Parkinson's disease (PD) is a complex, chronic disease that many patients live with for many years. In this work we propose a mHealth approach based on a set of unobtrusive, simple-in-use, off-the-self, co-operative, mobile devices that will be used for motor and non-motor symptoms monitoring and evaluation, as well as for the detection of fluctuations along with their duration through a waking day. Ideally, a multidisciplinary and integrated care approach involving several professionals working together (neurologists, physiotherapists, psychologists and nutritionists) could provide a holistic management of the disease increasing the patient's independence and Quality of Life (QoL)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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