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https://www.readbyqxmd.com/read/28227933/classification-of-severity-of-mitral-regurgitation-patients-using-multifractal-analysis
#1
Rijil Thomas, Ling Lieng Hsi, Soh Cheong Boon, Erry Gunawan, Rijil Thomas, Ling Lieng Hsi, Soh Cheong Boon, Erry Gunawan, Soh Cheong Boon, Erry Gunawan, Ling Lieng Hsi
Owing to its efficiency and cost effectiveness, auscultation using a stethoscope is the primary diagnosis method preferred by most medical examiners for cardiovascular disease. Phonocardiography (PCG) is the next level of auscultation and an effective analysis technique in cardiology. This paper presents a method to quantify Mitral Regurgitation (MR) using PCG. MR is one of the most common cardiovascular diseases associated with a defect in mitral valve. We analyzed the multifractal nature of heart sounds with murmur followed by classification and clustering using Hurst exponents...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227720/can-we-make-a-carpet-smart-enough-to-detect-falls
#2
Fadi Muheidat, Harry W Tyrer, Fadi Muheidat, Harry W Tyrer, Harry W Tyrer, Fadi Muheidat
In this paper, we have enhanced smart carpet, which is a floor based personnel detector system, to detect falls using a faster but low cost processor. Our hardware front end reads 128 sensors, with sensors output a voltage due to a person walking or falling on the carpet. The processor is Jetson TK1, which provides more computing power than before. We generated a dataset with volunteers who walked and fell to test our algorithms. Data obtained allowed examining data frames (a frame is a single scan of the carpet sensors) read from the data acquisition system...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227693/using-bioimpedance-spectroscopy-parameters-as-real-time-feedback-during-tdcs
#3
Isar Nejadgholi, Herschel Caytak, Miodrag Bolic, Isar Nejadgholi, Herschel Caytak, Miodrag Bolic, Isar Nejadgholi, Miodrag Bolic, Herschel Caytak
An exploratory analysis is carried out to investigate the feasibility of using BioImpedance Spectroscopy (BIS) parameters, measured on scalp, as real-time feedback during Transcranial Direct Current Stimulation (tDCS). TDCS is shown to be a potential treatment for neurological disorders. However, this technique is not considered as a reliable clinical treatment, due to the lack of a measurable indicator of treatment efficacy. Although the voltage that is applied on the head is very simple to measure during a tDCS session, changes of voltage are difficult to interpret in terms of variables that affect clinical outcome...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227614/portable-prescreening-system-for-sleep-apnea
#4
Martin Kjaer Guul, Poul Jennum, Helge B D Sorensen, Martin Kjaer Guul, Poul Jennum, Helge B D Sorensen, Martin Kjaer Guul, Helge B D Sorensen, Poul Jennum
Obstructive sleep apnea (OSA) occurs in more than 4 % of the adult population. Diagnoses for OSA in sleep clinics are costly and more than half of those submitted to a sleep clinic do not have OSA. A simple, easy, and portable homebased monitoring system to evaluate who are in high-or low risk of suffering from OSA would be beneficial. The system must be able to identify individuals with a high pre-test reliability regarding OSA with the aim of referral and further investigation. We aimed to develop a portable, smartphone, and homebased monitoring system to classify whether a patient screened for sleep apnea is at high risk or low risk of having OSA...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227585/tribowalk-triboelectric-dual-functional-wireless-system-for-gait-monitoring-and-energy-harvesting
#5
Xian Li, Hui Huang, Ye Sun, Xian Li, Hui Huang, Ye Sun, Ye Sun, Hui Huang, Xian Li
In this paper, we report the design and validation of a novel wearable wireless system, TriboWalk, for gait monitoring and motion energy harvesting based on triboelectrification. Gait analysis is an important diagnostic method for medical rehabilitation. The TriboWalk system is capable of gait monitoring and analysis by capturing gait timing parameters and ground contact force (GCF) pattern based on four tribo-elements on each shoe sole. The tribo-elements are removable and easily placed on different shoes...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227488/statistical-evaluation-of-manual-segmentation-of-a-diffuse-low-grade-glioma-mri-dataset
#6
Meriem Ben Abdallah, Marie Blonski, Sophie Wantz-Mezieres, Yann Gaudeau, Luc Taillandier, Jean-Marie Moureaux, Meriem Ben Abdallah, Marie Blonski, Sophie Wantz-Mezieres, Yann Gaudeau, Luc Taillandier, Jean-Marie Moureaux, Luc Taillandier, Jean-Marie Moureaux, Marie Blonski, Yann Gaudeau, Sophie Wantz-Mezieres, Meriem Ben Abdallah
Software-based manual segmentation is critical to the supervision of diffuse low-grade glioma patients and to the optimal treatment's choice. However, manual segmentation being time-consuming, it is difficult to include it in the clinical routine. An alternative to circumvent the time cost of manual segmentation could be to share the task among different practitioners, providing it can be reproduced. The goal of our work is to assess diffuse low-grade gliomas' manual segmentation's reproducibility on MRI scans, with regard to practitioners, their experience and field of expertise...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227433/microprinted-tumor-spheroids-enable-anti-cancer-drug-screening
#7
Pradip S Thakuri, Stephanie L Ham, Hossein Tavana, Pradip S Thakuri, Stephanie L Ham, Hossein Tavana, Stephanie L Ham, Hossein Tavana
Spheroids present a biologically relevant model of avascular tumors and a unique tool for discovery of anti-cancer drugs. Despite being used in research laboratories for several decades, spheroids are not routinely used for drug discovery primarily due to the difficulty of mass-producing uniformly-sized spheroids and intense labor involved in handling, drug treatment, and analyzing them. We overcome this barrier using a novel technology to robotically microprint spheroids in standard 384-well plates. An aqueous drop containing cancer cells is dispensed into a bath of a second, immiscible aqueous phase...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227421/spectral-based-pneumonia-detection-tool-using-ultrasound-data-from-pediatric-populations
#8
O Zenteno, B Castaneda, R Lavarello, O Zenteno, B Castaneda, R Lavarello, B Castaneda, O Zenteno, R Lavarello
Pediatric Pneumonia is one of the principal causes of death by year on children under the age of five worldwide. The diagnosis is commonly made by clinical criteria with support from imaging tools like radiography. Lung ultrasound has been considered a low-cost and portable alternative for pneumonia imaging; however, interpretation is subjective and requires adequate training. In the present work, a pneumonia detection algorithm based on the measurement of the fundamental bandwidth downshift over depth of ultrasound radiofrequency (RF) signals is presented...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227399/functional-connectivity-analysis-using-whole-brain-and-regional-network-metrics-in-ms-patients
#9
V C Chirumamilla, V Fleischer, A Droby, T Anjum, M Muthuraman, F Zipp, S Groppa, V C Chirumamilla, V Fleischer, A Droby, T Anjum, M Muthuraman, F Zipp, S Groppa, A Droby, S Groppa, F Zipp, V C Chirumamilla, T Anjum, V Fleischer, M Muthuraman
In the present study we investigated brain network connectivity differences between patients with relapsing-remitting multiple sclerosis (RRMS) and healthy controls (HC) as derived from functional resonance magnetic imaging (fMRI) using graph theory. Resting state fMRI data of 18 RRMS patients (12 female, mean age ± SD: 42 ± 12.06 years) and 25 HC (8 female, 29.2 ± 5.38 years) were analyzed. In order to obtain information of differences in entire brain network, we focused on both, local and global network connectivity parameters...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227384/automatic-classification-of-cancer-cells-in-multispectral-microscopic-images-of-lymph-node-samples
#10
Gali Zimmerman-Moreno, Irina Marin, Moshe Lindner, Iris Barshack, Yuval Garini, Eli Konen, Arnaldo Mayer, Gali Zimmerman-Moreno, Irina Marin, Moshe Lindner, Iris Barshack, Yuval Garini, Eli Konen, Arnaldo Mayer, Moshe Lindner, Yuval Garini, Gali Zimmerman-Moreno, Arnaldo Mayer, Eli Konen, Iris Barshack, Irina Marin
Histopathological analysis is crucial for the diagnosis of a large number of cancer types. A lot of progress has been made in the development of molecular based assays, but many of the cases still require the careful analysis of the stained tissue under a bright-field microscope and its analysis. This procedure is costly and time-consuming. We present a novel method for classification of cancer cells in lymph node images. It is based on the measurement of the spectral image of hematoxylin and eosin stained sample under the microscope and the analysis of the acquired data using state of the art machine learning techniques...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227258/electrocardiographic-waveforms-fitness-check-device-technique-for-sudden-cardiac-death-risk-screening
#11
O J Escalona, M Mendoza, O J Escalona, M Mendoza, O J Escalona, M Mendoza
A novel cardiac health device technique development for reliable, non-invasive and cost-effective heart screening in preventive cardiovascular healthcare is presented. In particular, identification of apparently healthy individuals involved in sports activities (particularly in the young, age <; 35 years) who may be at-risk of sudden-cardiac-death (SCD) is mainly focused here. Nevertheless, the same device technique may be prospectively extended for detecting cardiovascular abnormalities in children and adolescents with type1-diabetes, and also in detecting patients with Brugada syndrome...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227176/a-novel-method-to-assess-angle-sensor-performance-for-wearable-exoskeletal-joint-kinematics
#12
Nicholas B Bolus, Geza F Kogler, Omer T Inan, Nicholas B Bolus, Geza F Kogler, Omer T Inan, Geza F Kogler, Omer T Inan, Nicholas B Bolus
Full range of motion (ROM) at a joint is necessary for efficient and adaptive movement; as such, it is an essential clinical evaluation measure for assessing an individual's motor function, which can be affected by any number of musculoskeletal injuries and neuropathies. Measurement of joint ROM in the clinic has classically been accomplished statically through the use of a manual goniometer. More recent efforts in the fields of prosthetics and orthotics have demonstrated the potential utility of wearable systems (e...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227156/a-case-study-for-integrated-stem-outreach-in-an-urban-setting-using-a-do-it-yourself-vertical-jump-measurement-platform
#13
John F Drazan, Heather Danielsen, Matthew Vercelletto, Amy Loya, James Davis, Ron Eglash, John F Drazan, Heather Danielsen, Matthew Vercelletto, Amy Loya, James Davis, Ron Eglash, Heather Danielsen, Ron Eglash, John F Drazan, Matthew Vercelletto, Amy Loya, James Davis
The purpose of this study was to develop and deploy a low cost vertical jump platform using readily available materials for Science, Technology, Engineering, and Mathematics (STEM) education and outreach in the inner city. The platform was used to measure the jumping ability of participants to introduce students to the collection and analysis of scientific data in an engaging, accessible manner. This system was designed and fabricated by a student team of engineers as part of a socially informed engineering and design class...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227094/mutual-information-based-feature-selection-for-low-cost-bcis-based-on-motor-imagery
#14
L Schiatti, L Faes, J Tessadori, G Barresi, L Mattos, L Schiatti, L Faes, J Tessadori, G Barresi, L Mattos, G Barresi, L Mattos, J Tessadori, L Faes, L Schiatti
In the present study a feature selection algorithm based on mutual information (MI) was applied to electro-encephalographic (EEG) data acquired during three different motor imagery tasks from two dataset: Dataset I from BCI Competition IV including full scalp recordings from four subjects, and new data recorded from three subjects using the popular low-cost Emotiv EPOC EEG headset. The aim was to evaluate optimal channels and band-power (BP) features for motor imagery tasks discrimination, in order to assess the feasibility of a portable low-cost motor imagery based Brain-Computer Interface (BCI) system...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227007/identification-of-blood-biomarkers-for-use-in-point-of-care-diagnosis-tool-for-alzheimer-s-disease
#15
E Jammeh, P Zhao, C Carroll, S Pearson, E Ifeachor, E Jammeh, P Zhao, C Carroll, S Pearson, E Ifeachor, C Carroll, E Jammeh, E Ifeachor, S Pearson, P Zhao
Early diagnosis of Alzheimer's Disease (AD) is widely regarded as necessary to allow treatment to be started before irreversible damage to the brain occur and for patients to benefit from new therapies as they become available. Low-cost point-of-care (PoC) diagnostic tools that can be used to routinely diagnose AD in its early stage would facilitate this, but such tools require reliable and accurate biomarkers. However, traditional biomarkers for AD use invasive cerebrospinal fluid (CSF) analysis and/or expensive neuroimaging techniques together with neuropsychological assessments...
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/28226943/using-liquid-metal-alloy-egain-to-electrochemically-enhance-ss-stimulation-electrodes-for-biobotic-applications
#17
Tahmid Latif, Fengyuan Gong, Michael Dickey, Mihail Sichitiu, Alper Bozkurt, Tahmid Latif, Fengyuan Gong, Michael Dickey, Mihail Sichitiu, Alper Bozkurt, Michael Dickey, Tahmid Latif, Fengyuan Gong, Alper Bozkurt, Mihail Sichitiu
Biobotics is an emerging and useful advent in the field of robotics which harnesses the mechanical power of live invertebrates and benefits from them as "working" animals. Most biobotic applications rely on neural or muscular stimulation through implanted electrodes for achieving direct control of their locomotory behavior. Degradation of stimulation efficiency is often noticed through extended usage, partly owing to incompatibility of implanted electrodes to the application. Our previous achievements in biobotics utilized commercially available stainless steel wires as stimulation electrodes due to its availability and lower cost...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226879/toward-a-low-cost-gait-analysis-system-for-clinical-and-free-living-assessment
#18
Cassim Ladha, Silvia Del Din, Kianoush Nazarpour, Aodhan Hickey, Rosie Morris, Michael Catt, Lynn Rochester, Alan Godfrey, Cassim Ladha, Silvia Del Din, Kianoush Nazarpour, Aodhan Hickey, Rosie Morris, Michael Catt, Lynn Rochester, Alan Godfrey, Rosie Morris, Cassim Ladha, Lynn Rochester, Alan Godfrey, Aodhan Hickey, Silvia Del Din, Kianoush Nazarpour, Michael Catt
Gait is an important clinical assessment tool since changes in gait may reflect changes in general health. Measurement of gait is a complex process which has been restricted to bespoke clinical facilities until recently. The use of inexpensive wearable technologies is an attractive alternative and offers the potential to assess gait in any environment. In this paper we present the development of a low cost analysis gait system built using entirely open source components. The system is used to capture spatio-temporal gait characteristics derived from an existing conceptual model, sensitive to ageing and neurodegenerative pathology (e...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226652/early-warnings-of-heart-rate-deterioration
#19
Vania G Almeida, Ian T Nabney, Vania G Almeida, Ian T Nabney, Ian T Nabney, Vania G Almeida
Hospitals can experience difficulty in detecting and responding to early signs of patient deterioration leading to late intensive care referrals, excess mortality and morbidity, and increased hospital costs. Our study aims to explore potential indicators of physiological deterioration by the analysis of vital-signs. The dataset used comprises heart rate (HR) measurements from MIMIC II waveform database, taken from six patients admitted to the Intensive Care Unit (ICU) and diagnosed with severe sepsis. Different indicators were considered: 1) generic early warning indicators used in ecosystems analysis (autocorrelation at-1-lag (ACF1), standard deviation (SD), skewness, kurtosis and heteroskedasticity) and 2) entropy analysis (kernel entropy and multi scale entropy)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226619/application-of-semi-supervised-deep-learning-to-lung-sound-analysis
#20
Daniel Chamberlain, Rahul Kodgule, Daniela Ganelin, Vivek Miglani, Richard Ribon Fletcher, Daniel Chamberlain, Rahul Kodgule, Daniela Ganelin, Vivek Miglani, Richard Ribon Fletcher, Vivek Miglani, Daniel Chamberlain, Richard Ribon Fletcher, Rahul Kodgule, Daniela Ganelin
The analysis of lung sounds, collected through auscultation, is a fundamental component of pulmonary disease diagnostics for primary care and general patient monitoring for telemedicine. Despite advances in computation and algorithms, the goal of automated lung sound identification and classification has remained elusive. Over the past 40 years, published work in this field has demonstrated only limited success in identifying lung sounds, with most published studies using only a small numbers of patients (typically N<;20) and usually limited to a single type of lung sound...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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