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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/28227974/heart-rate-variability-as-a-biomarker-for-sedation-depth-estimation-in-icu-patients
#2
Sunil B Nagaraj, Sowmya M Ramaswamy, Siddharth Biswal, Emily J Boyle, David W Zhou, Lauren M Mcclain, Eric S Rosenthal, Patrick L Purdon, M Brandon Westover, Sunil B Nagaraj, Sowmya M Ramaswamy, Siddharth Biswal, Emily J Boyle, David W Zhou, Lauren M Mcclain, Eric S Rosenthal, Patrick L Purdon, M Brandon Westover, M Brandon Westover, Sunil B Nagaraj, Siddharth Biswal, Sowmya M Ramaswamy, Lauren M Mcclain, David W Zhou, Emily J Boyle, Patrick L Purdon, Eric S Rosenthal
An automated patient-specific system to classify the level of sedation in ICU patients using heart rate variability signal is presented in this paper. ECG from 70 mechanically ventilated adult patients with administered sedatives in an ICU setting were used to develop a support vector machine based system for sedation depth monitoring using several heart rate variability measures. A leave-one-subject-out cross validation was used for classifier training and performance evaluations. The proposed patient-specific system provided a sensitivity, specificity and an AUC of 64%, 84...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227935/heart-sound-segmentation-using-fractal-decomposition
#3
Rijil Thomas, Ling Lieng Hsi, Soh Cheong Boon, Erry Gunawan, Rijil Thomas, Ling Lieng Hsi, Soh Cheong Boon, Erry Gunawan
In order to assist cardiac diagnosis by phonocardiography, the automated identification of fundamental heart sounds for heart beat segmentation in a cardiac cycle plays a significant role in signal processing. Recent advancements in signal processing have also shown the potential of multifractality in biomedical applications. Hence, in this paper, the multifractal property of heart sounds is utilized to identify first and second heart sounds. The root mean square (rms) fluctuation used to obtain multifractal/singularity spectrum is used to decompose the heart sound into its own fractally-important components in time domain along with simultaneous Gaussianity test to filter out fundamental components...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227897/predicting-rapid-cognitive-decline-in-alzheimer-s-disease-patients-using-quantitative-eeg-markers-and-neuropsychological-test-scores
#4
Carmina Reyes-Coronel, Markus Waser, Heinrich Garn, Manfred Deistler, Peter Dal-Bianco, Thomas Benke, Gerhard Ransmayr, Dieter Grossegger, Reinhold Schmidt, Carmina Reyes-Coronel, Markus Waser, Heinrich Garn, Manfred Deistler, Peter Dal-Bianco, Thomas Benke, Gerhard Ransmayr, Dieter Grossegger, Reinhold Schmidt, Carmina Reyes-Coronel, Gerhard Ransmayr, Dieter Grossegger, Markus Waser, Peter Dal-Bianco, Thomas Benke, Manfred Deistler, Reinhold Schmidt, Heinrich Garn
Alzheimer's Disease (AD) can take different courses: some patients remain relatively stable while others decline rapidly within a given period of time. Losing more than 3 Mini-Mental State Examination (MMSE) points in one year is classified as rapid cognitive decline (RCD). This study used neuropsychological test scores and quantitative EEG (QEEG) markers obtained at a baseline examination to identify if an AD patient will be suffering from RCD. Data from 68 AD patients of the multi-centric cohort study PRODEM-Austria were applied...
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
#5
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/28227670/diffuse-reflectance-spectroscopy-can-differentiate-high-grade-and-low-grade-prostatic-carcinoma
#6
Priya N Werahera, Edward A Jasion, E David Crawford, M Scott Lucia, Adrie van Bokhoven, Holly T Sullivan, Fernando J Kim, Paul D Maroni, J David Port, John W Daily, Francisco G La Rosa, Priya N Werahera, Edward A Jasion, E David Crawford, M Scott Lucia, Adrie van Bokhoven, Holly T Sullivan, Fernando J Kim, Paul D Maroni, J David Port, John W Daily, Francisco G La Rosa, John W Daily, Adrie Van Bokhoven, E David Crawford, J David Port, Priya N Werahera, M Scott Lucia, Holly T Sullivan, Paul D Maroni, Edward A Jasion, Francisco G La Rosa, Fernando J Kim
Prostate tumors are graded by the revised Gleason Score (GS) which is the sum of the two predominant Gleason grades present ranging from 6-10. GS 6 cancer exclusively with Gleason grade 3 is designated as low grade (LG) and correlates with better clinical prognosis for patients. GS >7 cancer with at least one of the Gleason grades 4 and 5 is designated as HG indicate worse prognosis for patients. Current transrectal ultrasound guided prostate biopsies often fail to correctly diagnose HG prostate cancer due to sampling errors...
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
#7
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/28227529/development-of-sit-to-stand-and-stand-to-sit-training-system-for-hemiplegic-patients
#8
Ryoichiro Shiraishi, Hiroaki Kawamoto, Yoshiyuki Sankai, Ryoichiro Shiraishi, Hiroaki Kawamoto, Yoshiyuki Sankai, Ryoichiro Shiraishi, Yoshiyuki Sankai, Hiroaki Kawamoto
As one of the several characteristics of hemiplegic patients after stroke, the patients conduct sit-to-stand and stand-to-sit (STS) motion using their unaffected leg. The purpose of this study is to develop a STS motion support system for helping the patients decrease the difference of the usage ratio between the affected side and the unaffected side, and increase the usage of the affected leg. The developed system supports the STS motions by moving the seat linearly. The system also provides the user visual motor information for each leg by measuring the floor reaction force (FRF) during STS motions...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227419/an-automated-bladder-volume-measurement-algorithm-by-pixel-classification-using-random-forests
#9
Pavan Annangi, Sigmund Frigstad, S B Subin, Anders Torp, Sundararajan Ramasubramaniam, Srinivas Varna, Pavan Annangi, Sigmund Frigstad, S B Subin, Anders Torp, Sundararajan Ramasubramaniam, Srinivas Varna, Sundararajan Ramasubramaniam, Anders Torp, Srinivas Varna, Sb Subin, Pavan Annangi, Sigmund Frigstad
Residual bladder volume measurement is a very important marker for patients with urinary retention problems. To be able to monitor patients with these conditions at the bedside by nurses or in an out patient setting by general physicians, hand held ultrasound devices will be extremely useful. However to increase the usage of these devices by non traditional users, automated tools that can aid them in the scanning and measurement process will be of great help. In our paper, we have developed a robust segmentation algorithm to automatically measure bladder volume by segmenting bladder contours from sagittal and transverse ultrasound views using a combination of machine learning and active contour algorithms...
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
#10
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/28227295/classification-of-obsessive-compulsive-disorder-from-resting-state-fmri
#11
Bhaskar Sen, Gail A Bernstein, Tingting Xu, Bryon A Mueller, Mindy W Schreiner, Kathryn R Cullen, Keshab K Parhi, Bhaskar Sen, Gail A Bernstein, Tingting Xu, Bryon A Mueller, Mindy W Schreiner, Kathryn R Cullen, Keshab K Parhi, Keshab K Parhi, Gail A Bernstein, Tingting Xu, Kathryn R Cullen, Bryon A Mueller, Mindy W Schreiner, Bhaskar Sen
Obssesive-compulsive disorder (OCD) is a serious mental illness that affects the overall quality of the patients' daily lives. Accurate diagnosis of this disorder is a primary step towards effective treatment. Diagnosing OCD is a lengthy procedure that involves interviews, symptom rating scales and behavioral observation as well as the experience of a clinician. Discovering signal processing and network based biomarkers from functional magnetic resonance scans of patients may greatly assist the clinicians in their diagnostic assessments...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227229/ensemble-statistical-and-subspace-clustering-model-for-analysis-of-autism-spectrum-disorder-phenotypes
#12
Khalid Al-Jabery, Tayo Obafemi-Ajayi, Gayla R Olbricht, T Nicole Takahashi, Stephen Kanne, Donald Wunsch, Khalid Al-Jabery, Tayo Obafemi-Ajayi, Gayla R Olbricht, T Nicole Takahashi, Stephen Kanne, Donald Wunsch, Donald Wunsch, Tayo Obafemi-Ajayi, Khalid Al-Jabery, Stephen Kanne, Gayla R Olbricht, T Nicole Takahashi
Heterogeneity in Autism Spectrum Disorder (ASD) is complex including variability in behavioral phenotype as well as clinical, physiologic, and pathologic parameters. The fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) now diagnoses ASD using a 2-dimensional model based social communication deficits and fixated interests and repetitive behaviors. Sorting out heterogeneity is crucial for study of etiology, diagnosis, treatment and prognosis. In this paper, we present an ensemble model for analyzing ASD phenotypes using several machine learning techniques and a k-dimensional subspace clustering algorithm...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227220/selection-of-an-optimal-feature-set-to-predict-heart-transplantation-outcomes
#13
Dennis Medved, Pierre Nugues, Johan Nilsson, Dennis Medved, Pierre Nugues, Johan Nilsson, Dennis Medved, Johan Nilsson, Pierre Nugues
Heart transplantation (HT) is a life saving procedure, but a limited donor supply forces the surgeons to prioritize the recipients. The understanding of factors that predict mortality could help the doctors with this task. The objective of this study is to find locally optimal feature sets to predict survival of HT patients for different time periods. To this end, we applied logistic regression together with a greedy forward and backward search. As data source, we used the United Network for Organ Sharing (UNOS) registry, where we extracted adult patients (>17 years) from January 1997 to December 2008...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227201/can-we-discriminate-between-apnea-and-hypopnea-using-audio-signals
#14
M Halevi, E Dafna, A Tarasiuk, Y Zigel, M Halevi, E Dafna, A Tarasiuk, Y Zigel, A Tarasiuk, Y Zigel, M Halevi, E Dafna
Obstructive sleep apnea (OSA) affects up to 14% of the population. OSA is characterized by recurrent apneas and hypopneas during sleep. The apnea-hypopnea index (AHI) is frequently used as a measure of OSA severity. In the current study, we explored the acoustic characteristics of hypopnea in order to distinguish it from apnea. We hypothesize that we can find audio-based features that can discriminate between apnea, hypopnea and normal breathing events. Whole night audio recordings were performed using a non-contact microphone on 44 subjects, simultaneously with the polysomnography study (PSG)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227112/estimation-of-macro-sleep-stages-from-whole-night-audio-analysis
#15
E Dafna, M Halevi, D Ben Or, A Tarasiuk, Y Zigel, E Dafna, M Halevi, D Ben Or, A Tarasiuk, Y Zigel, D Ben Or, Y Zigel, M Halevi, E Dafna, A Tarasiuk
During routine sleep diagnostic procedure, sleep is broadly divided into three states: rapid eye movement (REM), non-REM (NREM) states, and wake, frequently named macro-sleep stages (MSS). In this study, we present a pioneering attempt for MSS detection using full night audio analysis. Our working hypothesis is that there might be differences in sound properties within each MSS due to breathing efforts (or snores) and body movements in bed. In this study, audio signals of 35 patients referred to a sleep laboratory were recorded and analyzed...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227068/the-impact-of-deformation-of-an-aneurysm-model-under-pulsatile-flow-on-hemodynamic-analysis
#16
T Kawakami, H Takao, C Ichikawa, K Kamiya, Y Murayama, M Motosuke, T Kawakami, H Takao, C Ichikawa, K Kamiya, Y Murayama, M Motosuke, C Ichikawa, H Takao, K Kamiya, M Motosuke, T Kawakami, Y Murayama
Hemodynamic analysis of cerebral aneurysms has been widely carried out to clarify the mechanisms of their growth and rupture. In several cases, patient-specific aneurysm models made of transparent polymers have been used. Even though periodic changes in aneurysms due to the pulsation of blood flow could be important, the deformation of the model geometry and its effect on hemodynamic evaluation has not been fully investigated. In addition, the fabrication accuracy of aneurysm models has not been evaluated even though it may affect the hemodynamic parameters to be analyzed...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227014/random-forests-to-predict-tumor-recurrence-following-cervical-cancer-therapy-using-pre-and-per-treatment-18-f-fdg-pet-parameters
#17
Geoffrey Roman-Jimenez, Oscar Acosta, Julie Leseur, Anne Devillers, Henri Der Sarkissian, Lina Guzman, Eloi'se Grossiord, Juan-David Ospina, Renaud De Crevoisier, Geoffrey Roman-Jimenez, Oscar Acosta, Julie Leseur, Anne Devillers, Henri Der Sarkissian, Lina Guzman, Eloi'se Grossiord, Juan-David Ospina, Renaud De Crevoisier, Oscar Acosta, Julie Leseur, Juan-David Ospina, Geoffrey Roman-Jimenez, Henri Der Sarkissian, Renaud De Crevoisier, Anne Devillers, Eloise Grossiord, Lina Guzman
The ability to predict tumor recurrence after chemoradiotherapy of locally advanced cervical cancer is a crucial clinical issue to intensify the treatment of the most high-risk patients. The objective of this study was to investigate tumor metabolism characteristics extracted from pre- and per-treatment (18)F-FDG PET images to predict 3-year overall recurrence (OR). A total of 53 locally advanced cervical cancer patients underwent pre- and per-treatment (18)F-FDG PET (respectively PET1 and PET2). Tumor metabolism was characterized through several delineations using different thresholds, based on a percentage of the maximum uptake, and applied by region-growing...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226981/eeg-epoch-selection-lack-of-alpha-rhythm-improves-discrimination-of-alzheimer-s-disease
#18
Francisco J Fraga, Eliezyer F Oliveira, Paulo A M Kanda, Francisco J Fraga, Eliezyer F Oliveira, Paulo A M Kanda, Eliezyer F Oliveira, Francisco J Fraga, Paulo A M Kanda
In this work we propose a detailed EEG epoch selection method and compare epochs with rare and abundant alpha rhythm (AR) of patients with Alzheimer's disease (AD) and normal controls. Epochs were classified as Dominant Alpha Scenario (DAS) and Rare Alpha Scenario (RAS) according to the AR percentage (energy within the 8-13 Hz bandwidth) in O1, O2 and Oz electrodes. Participants were divided into four groups: 17 DAS controls (N1), 15 DAS mild-AD patients (AD1), 12 RAS controls (N2) and 15 RAS mild-AD patients (AD2)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226979/quantitative-assessment-of-arm-tremor-in-people-with-neurological-disorders
#19
Jeonghee Kim, Claire Parnell, Thomas Wichmann, Stephen P DeWeerth, Jeonghee Kim, Claire Parnell, Thomas Wichmann, Stephen P DeWeerth, Claire Parnell, Thomas Wichmann, Stephen P DeWeerth, Jeonghee Kim
Abnormal oscillatory movement (i.e. tremor) is usually evaluated with qualitative assessment by clinicians, and quantified with subjective scoring methods. These methods are often inaccurate. We utilized a quantitative and standardized task based on the Fitts' law to assess the performance of arm movement with tremor by controlling a gyration mouse on a computer. The experiment included the center-out tapping (COT) and rectangular track navigation (RTN) tasks. We report the results of a pilot study in which we collected the performance for healthy participants in whom tremor was simulated by imposing oscillatory movements to the arm with a vibration motor...
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
#20
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
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