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https://www.readbyqxmd.com/read/28227879/wearable-diagnostic-system-for-age-related-macular-degeneration
#1
N Mohaghegh, E Ghafar Zadeh, S Magierowski, N Mohaghegh, E Ghafar Zadeh, S Magierowski, N Mohaghegh, E Ghafar Zadeh, S Magierowski
This paper presents a novel head-mounted point-of-care diagnostic system for detection and continuous monitoring of Age-related Macular Degeneration (AMD). This wearable embedded open-source platform enables accurate monitoring of AMD by taking advantage of multiple standard graphical interface techniques such as Amsler Grid, Threshold Amsler Grid, Macular Computerized Psychophysical Test and Preferential Hyperacuity Perimeter (PHP). Here, we describe the proposed multi-Grid or so-called NGRID software and elaborate on the hardware prototype...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227874/cluster-based-architecture-and-network-maintenance-protocol-for-medical-priority-aware-cognitive-radio-based-hospital
#2
Ishtiak Al Mamoon, A K M Muzahidul Islam, Sabariah Baharun, Ashir Ahmed, Shozo Komaki, Ishtiak Al Mamoon, A K M Muzahidul Islam, Sabariah Baharun, Ashir Ahmed, Shozo Komaki, Ishtiak Al Mamoon, Shozo Komaki, Ashir Ahmed, A K M Muzahidul Islam, Sabariah Baharun
Due to the rapid growth of wireless medical devices in near future, wireless healthcare services may face some inescapable issue such as medical spectrum scarcity, electromagnetic interference (EMI), bandwidth constraint, security and finally medical data communication model. To mitigate these issues, cognitive radio (CR) or opportunistic radio network enabled wireless technology is suitable for the upcoming wireless healthcare system. The up-to-date research on CR based healthcare has exposed some developments on EMI and spectrum problems...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227779/revealing-oral-medication-patterns-from-reconstructed-long-term-medication-history-of-type-2-diabetes
#3
Purnomo Husnul Khotimah, Yuichi Sugiyama, Masatoshi Yoshikawa, Akihiro Hamasaki, Kazuya Okamoto, Tomohiro Kuroda, Purnomo Husnul Khotimah, Yuichi Sugiyama, Masatoshi Yoshikawa, Akihiro Hamasaki, Kazuya Okamoto, Tomohiro Kuroda, Kazuya Okamoto, Purnomo Husnul Khotimah, Yuichi Sugiyama, Akihiro Hamasaki, Masatoshi Yoshikawa, Tomohiro Kuroda
With the growing attention to evidence-based medical guideline development, longitudinal analysis of Electronic Medical Records (EMR) has become a good tool for providing insight into and new knowledge on the existing therapy. For chronic diseases, longitudinal analysis of medication history plays a key role in reaching this goal. However, raw medication data in EMR are not suitable for longitudinal analysis for several reasons. First, many prescriptions have a short duration. Second, the prescription duration may have a gap or overlap with other prescription durations...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227769/identifying-the-effects-of-visceral-interoception-on-human-brain-connectome-a-multivariate-analysis-of-covariance-of-fmri-data
#4
Behnaz Jarrahi, Dante Mantini, Behnaz Jarrahi, Dante Mantini, Behnaz Jarrahi, Dante Mantini
Sources of variations in the neural circuitry of the human brain and interrelationship between intrinsic connectivity networks (ICNs) are still a matter of debate and ongoing research. Here, we applied a multivariate analysis of covariance (MANCOVA) based on high-dimensional independent component analysis (ICA) to identify the effects of interoception and related variables on human brain connectome. Fifteen healthy right-handed subjects (all females, age range 21 - 48 years; mean age = 30.3, SD = 8.7 years) underwent a blood-oxygen-level-dependent (BOLD) functional magnetic resonance imaging (fMRI) that included continuous intravesical saline infusion and drainage...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227730/prototyping-context-aware-nursing-support-mobile-system
#5
Misa Esashi, Tomohiro Nakano, Nao Onose, Kikue Sato, Tomoko Hikita, Reiko Hoya, Kazuya Okamoto, Naoki Ohboshi, Tomohiro Kuroda, Misa Esashi, Tomohiro Nakano, Nao Onose, Kikue Sato, Tomoko Hikita, Reiko Hoya, Kazuya Okamoto, Naoki Ohboshi, Tomohiro Kuroda, Kikue Sato, Tomohiro Nakano, Tomoko Hikita, Naoki Ohboshi, Misa Esashi, Nao Onose, Tomohiro Kuroda, Kazuya Okamoto, Reiko Hoya
A context aware nursing support system to push right information to the right person at the right moment is the key to increase clinical safety under a computerized hospital. We prototyped a system which obtains context from positions of nurses and list of expected clinical procedures. A WoZ test showed that the proposed approach has potential to decrease incidents caused by information delivery error.
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
#6
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/28227726/mobile-teleradiology-system-suitable-for-m-health-services-supporting-content-and-semantic-based-image-retrieval-on-a-grid-infrastructure
#7
Alexandra La Cruz, Ruben Medina, Francisco Vega, Wilson Perez, Blanca Ochoa, Victor Saquicela, Mauricio Espinoza, Lizandro Solano-Quinde, Maria-Esther Vidal, Alexandra La Cruz, Ruben Medina, Francisco Vega, Wilson Perez, Blanca Ochoa, Victor Saquicela, Mauricio Espinoza, Lizandro Solano-Quinde, Maria-Esther Vidal, Victor Saquicela, Francisco Vega, Mauricio Espinoza, Lizandro Solano-Quinde, Blanca Ochoa, Maria-Esther Vidal, Alexandra La Cruz, Ruben Medina, Wilson Perez
Teleradiology systems tackle the problem of transferring radiological images between medical image workstations for facilitating different medical activities, e.g., diagnosis, treatment and follow up a patient, medical training, or consulting second opinion. Nowadays, m-Health (aka mobile health) is becoming popular because of high quality of mobile displays, although remains a work in progress. In this paper a mobile teleradiology system is reported, which main contribution is the development of a platform: (1) supported by a Grid infrastructure, (2) using biomedical ontologies for adding semantic annotations on medical images, and (3) supporting semantic and content-based image retrieval...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227709/bayesian-gaussian-processes-for-identifying-the-deteriorating-patient
#8
Glen Wright Colopy, Marco A F Pimentel, Stephen J Roberts, David A Clifton, Glen Wright Colopy, Marco A F Pimentel, Stephen J Roberts, David A Clifton, Glen Wright Colopy, Marco A F Pimentel, Stephen J Roberts, David A Clifton
The step-down unit (SDU) is a high-acuity hospital environment, to which patients may be sent after discharge from the intensive care unit (ICU). About 1- in-7 patients will deteriorate in the SDU and require emergency readmission to the ICU. Upon readmission, these patients experience significantly higher mortality risks and lengths of stay. Gaussian process regression (GPR) models are proposed as a flexible, principled, probabilistic method to address the clinical need to monitor continuously patient time-series of vital signs acquired in the SDU...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227581/a-novel-system-to-tackle-hospital-acquired-pressure-ulcers
#9
B S Renganathan, S P Preejith, Sridhar Nagaiyan, Jayaraj Joseph, Mohanasankar Sivaprakasam, B S Renganathan, S P Preejith, Sridhar Nagaiyan, Jayaraj Joseph, Mohanasankar Sivaprakasam, S P Preejith, B S Renganathan, Sridhar Nagaiyan, Jayaraj Joseph, Mohanasankar Sivaprakasam
Hospital acquired pressure ulcers (HAPUs) is a major problem that affects around one in twenty patients who are admitted in hospital with sudden illness. These ulcers often occur when patients have limited mobility and cannot change positions in bed on their own. Traditionally, the occurrence of HAPUs has been minimized by turning the patient every 2 hours to alternating lateral and supine positions, and by using pressure redistributing mattresses. In many healthcare facilities, such a patient repositioning schedule is not always maintained owing to low caregiver compliance to turning protocols...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227580/non-invasive-bcg-monitoring-for-non-traditional-settings
#10
Esteban J Pino, Constanza Larsen, Javier Chavez, Pablo Aqueveque, Esteban J Pino, Constanza Larsen, Javier Chavez, Pablo Aqueveque, Javier Chavez, Constanza Larsen, Pablo Aqueveque, Esteban J Pino
This paper presents the results from actual measurements of cardiac activity acquired through the use of noninvasive sensors to detect Ballistocardiogram (BCG). The results show that it is feasible to unobtrusively monitor heart rate in non-standard settings such as waiting rooms or at school using simple chairs fitted with capacitive sensors. The selected sensors, based on electromechanical principles, are able to measure BCG from a variety of subjects. We present the results for 114 participants from homes, school and a hospital waiting room, adding up over 815 minutes of data...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227575/non-invasive-multi-modal-sensing-of-skin-stretch-and-bioimpedance-for-detecting-infiltration-during-intravenous-therapy
#11
Jambu A Jambulingam, Russell McCrory, Leanne West, Omer T Inan, Jambu A Jambulingam, Russell McCrory, Leanne West, Omer T Inan, Leanne West, Omer T Inan, Russell McCrory
Intravenous infiltration is a condition wherein an infused solution leaks inadvertently into soft tissue surrounding a hypodermic needle site. This occurrence affects approximately 6.5% of patients in hospitals worldwide, and can lead to severe tissue damage if not treated immediately. The methods currently used by medical staff to detect an infiltration are subjective and can potentially be prone to error. Infiltration is an even larger concern in pediatric patients, who have smaller veins than adults and have more difficulty in communicating pain or other discomfort associated with the infiltration with medical staff...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227515/a-clinic-compatible-open-source-electrophysiology-system
#12
John Hermiz, Nick Rogers, Erik Kaestner, Mehran Ganji, Dan Cleary, Joseph Snider, David Barba, Shadi Dayeh, Eric Halgren, Vikash Gilja, John Hermiz, Nick Rogers, Erik Kaestner, Mehran Ganji, Dan Cleary, Joseph Snider, David Barba, Shadi Dayeh, Eric Halgren, Vikash Gilja, Erik Kaestner, Mehran Ganji, David Barba, Joseph Snider, Nick Rogers, Shadi Dayeh, Eric Halgren, Vikash Gilja, Dan Cleary, John Hermiz
Open source electrophysiology (ephys) recording systems have several advantages over commercial systems such as customization and affordability enabling more researchers to conduct ephys experiments. Notable open source ephys systems include Open-Ephys, NeuroRighter and more recently Willow, all of which have high channel count (64+), scalability, and advanced software to develop on top of. However, little work has been done to build an open source ephys system that is clinic compatible, particularly in the operating room where acute human electrocorticography (ECoG) research is performed...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227486/patient-walk-detection-in-hospital-room-using-microsoft-kinect-v2
#13
Liang Liu, Sanjay Mehrotra, Liang Liu, Sanjay Mehrotra, Liang Liu, Sanjay Mehrotra
This paper describes a system using Kinect sensor to detect patient walk automatically in a hospital room setting. The system is especially essential for the case when the patient is alone and the nursing staff is absent. The patient activities are represented by the features extracted from Kinect V2 skeletons. The analysis to the recognized walk could help us to better understand the health situation of the patient and the possible hospital acquired infection (HAI), and provide valuable information to healthcare givers for making a corresponding treatment decision and alteration...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227457/evaluation-of-periodic-breathing-in-respiratory-flow-signal-of-elderly-patients-using-svm-and-linear-discriminant-analysis
#14
Sara Argerich, Sergio Herrera, Salvador Benito, Beatriz F Giraldo, Sara Argerich, Sergio Herrera, Salvador Benito, Beatriz F Giraldo, Beatriz F Giraldo, Salvador Benito, Sara Argerich, Sergio Herrera
Aging population is a major concern that is reflected in the increase of chronic diseases. Heart Failure (HF) is one of the most common chronic diseases of elderly people that is punctuated with acute episodes, which result in hospitalization. The periodic modulation of the amplitude of the breathing pattern is proved to be one of the multiple symptoms of an acute episode, and thus, the features extracted from its characterization contribute in the improvement of the first diagnosis of the clinical practice...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227449/comparison-of-methods-for-the-evaluation-of-nibp-from-pulse-transit-time
#15
L Peter, N Noury, M Cerny, I Nykl, L Peter, N Noury, M Cerny, I Nykl, L Peter, I Nykl, N Noury, M Cerny
Non-invasive blood pressure measurement (NIBP) is one of the most discussed topic in cardiovascular medicine. Currently continuous measurement of blood pressure is possible by invasive methods, which makes the measurement impractical for Doctors and uncomfortable for the patients. It is possible to use special devices to measure blood pressure noninvasively continuously but there are still some problems with long time monitoring and comfort for patient. Physiologically there is connection between electrical and mechanical heart functions, propagation of pulse wave and blood pressure value...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227412/development-of-a-real-time-lumbar-ultrasound-image-processing-system-for-epidural-needle-entry-site-localization
#16
Yusong Leng, Shuang Yu, Kok Kiong Tan, Philip Tildsley, Alex Tiong Heng Sia, Ban Leong Sng, Yusong Leng, Shuang Yu, Kok Kiong Tan, Philip Tildsley, Alex Tiong Heng Sia, Ban Leong Sng, Yusong Leng, Shuang Yu, Philip Tildsley, Ban Leong Sng, Kok Kiong Tan
A fully-automatic ultrasound image processing system that can determine the needle entry site for epidural anesthesia (EA) in real time is presented in this paper. Neither the knowledge of anesthetists nor additional hardware is required to operate the system, which firstly directs the anesthetists to reach the desired insertion region in the longitudinal view, i.e., lumbar level L3-L4, and then locates the ideal puncture site by instructing the anesthetists to rotate and slightly adjust the position of ultrasound probe...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227247/neural-correlates-to-automatic-behavior-estimations-from-rgb-d-video-in-epilepsy-unit
#17
Paolo Gabriel, Werner K Doyle, Orrin Devinsky, Daniel Friedman, Thomas Thesen, Vikash Gilja, Paolo Gabriel, Werner K Doyle, Orrin Devinsky, Daniel Friedman, Thomas Thesen, Vikash Gilja, Thomas Thesen, Vikash Gilja, Paolo Gabriel, Werner K Doyle, Orrin Devinsky, Daniel Friedman
To augment neural monitoring, a minimally intrusive multi-modal capture system was designed and implemented in the epilepsy clinic. This system provides RGB-D audio-video synchronized with patient electrocorticography (ECoG), which records neural activity across cortex. We propose an automated approach to studying the human brain in a naturalistic setting. We demonstrate coarse functional mapping of ECoG electrodes correlated to contralateral arm movements. Motor electrode mapping was generated by analyzing continuous movement data recorded over several hours from epilepsy patients in hospital rooms...
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
#18
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/28227197/identifying-individual-sleep-apnea-hypoapnea-epochs-using-smartphone-based-pulse-oximetry
#19
Ainara Garde, Parastoo Dekhordi, J Mark Ansermino, Guy A Dumont, Ainara Garde, Parastoo Dekhordi, J Mark Ansermino, Guy A Dumont, J Mark Ansermino, Parastoo Dekhordi, Guy A Dumont, Ainara Garde
Sleep apnea, characterized by frequent pauses in breathing during sleep, poses a serious threat to the healthy growth and development of children. Polysomnography (PSG), the gold standard for sleep apnea diagnosis, is resource intensive and confined to sleep laboratories, thus reducing its accessibility. Pulse oximetry alone, providing blood oxygen saturation (SpO2) and blood volume changes in tissue (PPG), has the potential to identify children with sleep apnea. Thus, we aim to develop a tool for at-home sleep apnea screening that provides a detailed and automated 30 sec epoch-by-epoch sleep apnea analysis...
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
#20
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
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