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https://www.readbyqxmd.com/read/28227925/principal-component-analysis-can-decrease-neural-networks-performance-for-incipient-falls-detection-a-preliminary-study-with-hands-and-feet-accelerations
#1
Fiorenzo Artoni, Dario Martelli, Vito Monaco, Silvestre Micera, Fiorenzo Artoni, Dario Martelli, Vito Monaco, Silvestre Micera
Fall-related accidents constitute a major problem for elderly people and a burden to the health-care national system. It is therefore important to design devices (e.g., accelerometers) and machine learning algorithms able to recognize incipient falls as quickly and reliably as possible. Blind source separation (BSS) methods are often used as a preprocessing step before classification, however the effects of BSS on classification performance are not well understood. The aim of this work is to preliminarily characterize the effect that two methods, namely Principal and Independent Component Analysis (PCA and ICA) and their combined use have on the performance of a neural network in detecting incipient falls...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227771/tracking-intrinsic-connectivity-brain-network-features-during-successive-pseudo-resting-states-and-interoceptive-task-fmri
#2
Behnaz Jarrahi, Dante Mantini, Behnaz Jarrahi, Dante Mantini, Behnaz Jarrahi, Dante Mantini
Advanced multivariate analyses of functional magnetic resonance imaging (fMRI) data based on blood oxygen level-dependent (BOLD) contras have revealed that the human brain organizes its activities into multiple intrinsic connectivity networks (ICNs). Several fMRI studies have evaluated the modulations of these networks during different cognitive or emotional tasks using blind source separation techniques particularly the independent component analysis (ICA). In this exploratory study, we applied ICA methodology to examine ICN modulations under different interoceptive conditions...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227751/a-time-domain-frequency-selective-multivariate-granger-causality-approach
#3
Lutz Leistritz, Herbert Witte, Lutz Leistritz, Herbert Witte, Lutz Leistritz, Herbert Witte
The investigation of effective connectivity is one of the major topics in computational neuroscience to understand the interaction between spatially distributed neuronal units of the brain. Thus, a wide variety of methods has been developed during the last decades to investigate functional and effective connectivity in multivariate systems. Their spectrum ranges from model-based to model-free approaches with a clear separation into time and frequency range methods. We present in this simulation study a novel time domain approach based on Granger's principle of predictability, which allows frequency-selective considerations of directed interactions...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227624/relationship-between-gait-variables-and-domains-of-neurologic-dysfunction-in-multiple-sclerosis-using-six-minute-walk-test
#4
Asma Qureshi, Maite Brandt-Pearce, Myla D Goldman, Asma Qureshi, Maite Brandt-Pearce, Myla D Goldman, Asma Qureshi, Myla D Goldman, Maite Brandt-Pearce
Most multiple sclerosis (MS) patients eventually suffer from mobility impairment, and thus it is critical that walking disability in MS be accurately assessed. The six-minute walk test (6MWT), a reliable MS measure, is traditionally used to determine the distance covered in six minutes using a standard protocol. With the availability of body sensor networks (BSNs), researchers are interested in leveraging BSN data for finding new gait assessment anchors for improved separability performance. Further, current methods for gait assessments are insufficient since assessments are absolute, performed by comparing outcomes to the statistical norms established from diverse patient data despite natural inter-patient variability...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227521/eeg-analysis-via-multiscale-lempel-ziv-complexity-for-seizure-detection
#5
N Sertac Artan, N Sertac Artan, N Sertac Artan
Robust seizure detection and seizure prediction continues to be a challenge. Lempel-Ziv Complexity (LZC) is one of the features that has shown to be relevant in seizure detection. Recent work has shown that augmenting LZC can be beneficial to emphasize variations in amplitude or frequency when analyzing biomedical signals. In this paper, we present a first look into evaluating the feasibility of using a recently proposed feature stemmed from LZC, namely the Multiscale Lempel-Ziv Complexity (MLZC) for seizure detection...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227326/detection-of-binaural-interaction-in-free-field-evoked-auditory-brainstem-responses-by-time-scale-representations
#6
Erik Schebsdat, Horst Hessel, Harald Seidler, Daniel J Strauss, Erik Schebsdat, Horst Hessel, Harald Seidler, Daniel J Strauss, Horst Hessel, Erik Schebsdat, Harald Seidler, Daniel J Strauss
The so called β-wave of the binaural interaction component (BIC) in auditory brainstem responses (ABR) has been shown to be an objective measure for binaural interaction (BI). This component is the arithmetical difference between the sum of the monaurally evoked ABRs and the binaurally evoked ABR. Unfortunately, these neural responses are known to be very fragile and as a result the calculated BIC. An additional issue is, that the findings of this measurement are predominantly needed in people with hearing loss who may use hearing devices like hearing aids (HA) or cochlear implants (CI), thus they are not able to use headphones (like in conventional ABR measurements) during the detection of possible BI...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227300/convolutive-blind-source-separation-on-surface-emg-signals-for-respiratory-diagnostics-and-medical-ventilation-control
#7
Herbert Buchner, Eike Petersen, Marcus Eger, Philipp Rostalski, Herbert Buchner, Eike Petersen, Marcus Eger, Philipp Rostalski, Marcus Eger, Philipp Rostalski, Eike Petersen, Herhert Buchner
The electromyogram (EMG) is an important tool for assessing the activity of a muscle and thus also a valuable measure for the diagnosis and control of respiratory support. In this article we propose convolutive blind source separation (BSS) as an effective tool to pre-process surface electromyogram (sEMG) data of the human respiratory muscles. Specifically, the problem of discriminating between inspiratory, expiratory and cardiac muscle activity is addressed, which currently poses a major obstacle for the clinical use of sEMG for adaptive ventilation control...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227194/exploring-neuro-muscular-synergies-of-reaching-movements-with-unified-independent-component-analysis
#8
Fiorenzo Artoni, Elvira Pirondini, Alessandro Panarese, Silvestre Micera, Fiorenzo Artoni, Elvira Pirondini, Alessandro Panarese, Silvestre Micera, Elvira Pirondini, Alessandro Panarese, Fiorenzo Artoni, Silvestro Micera
The coordinated recruitment of group of muscles through muscles synergies is known to simplify the control of movements. However, how and to what extent such control scheme is encoded at a cortical level is poorly understood. So far, electroencephalography (EEG) and electromyography (EMG) have been used, separately, to investigate the cortical regions of the human brain which may be involved in activating muscle synergies. Here we aim at extending these results by looking for a hierarchical relationship between cortical and muscular sources of activity (neuro-muscular synergies) with a unified analysis of independent components (IC) simultaneously extracted from both EEG and EMG signals...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227193/double-sensor-complementary-placement-method-to-reduce-motion-artifacts-in-ppg-using-fast-independent-component-analysis
#9
Frank P-W Lo, Max Q-H Meng, Frank P-W Lo, Max Q-H Meng, Max Q H Meng, Frank P W Lo
A novel sensor placement method for better removal of motion artifacts (MA) from photoplethysmography (PPG) signal using Fast Independent Component Analysis (ICA) is proposed in this paper. The method enhances the determination of pulse transit time (PTT) of PPG signals. The design makes use of double reflectance mode based PPG probes, which are placed complementary to each other and on the two sides of a single finger. Furthermore, a novel indicator denoted as Separating Factor is proposed as well. It helps evaluating the performance of ICA with different sensors configuration...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226998/extraction-of-the-brachialis-muscle-activity-using-hd-semg-technique-and-canonical-correlation-analysis
#10
M Al Harrach, B Afsharipour, S Boudaoud, V Carriou, F Marin, R Merletti, M Al Harrach, B Afsharipour, S Boudaoud, V Carriou, F Marin, R Merletti, V Carriou, B Afsharipour, M Al Harrach, F Marin, S Boudaoud
The Brachialis (BR) is placed under the Biceps Brachii (BB) deep in the upper arm. Therefore, the detection of the corresponding surface Electromyogram (sEMG) is a complex task. The BR is an important elbow flexor, but it is usually not considered in the sEMG based force estimation process. The aim of this study was to attempt to separate the two sEMG activities of the BR and the BB by using a High Density sEMG (HD-sEMG) grid placed at the upper arm and Canonical Component Analysis (CCA) technique. For this purpose, we recorded sEMG signals from seven subjects with two 8 × 4 electrode grids placed over BB and BR...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226883/a-simple-sensing-mechanism-for-wireless-passive-pressure-sensors
#11
John F Drazan, Michael T Wassick, Reena Dahle, Luke A Beardslee, Nathaniel C Cady, Eric H Ledet, John F Drazan, Michael T Wassick, Reena Dahle, Luke A Beardslee, Nathaniel C Cady, Eric H Ledet, Nathaniel C Cady, John F Drazan, Reena Dahle, Eric H Ledet, Luke A Beardslee, Michael T Wassick
We have developed a simple wireless pressure sensor that consists of only three electrically isolated components. Two conductive spirals are separated by a closed cell foam that deforms when exposed to changing pressures. This deformation changes the capacitance and thus the resonant frequency of the sensors. Prototype sensors were submerged and wirelessly interrogated while being exposed to physiologically relevant pressures from 10 to 130 mmHg. Sensors consistently exhibited a sensitivity of 4.35 kHz/mmHg which is sufficient for resolving physiologically relevant pressure changes in vivo...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226624/a-comparison-of-independent-component-analysis-algorithms-and-measures-to-discriminate-between-eeg-and-artifact-components
#12
Dhani Dharmaprani, Hoang K Nguyen, Trent W Lewis, Dylan DeLosAngeles, John O Willoughby, Kenneth J Pope, Dhani Dharmaprani, Hoang K Nguyen, Trent W Lewis, Dylan DeLosAngeles, John O Willoughby, Kenneth J Pope, John O Willoughby, Hoang K Nguyen, Dylan DeLosAngeles, Trent W Lewis, Dhani Dharmaprani, Kenneth J Pope
Independent Component Analysis (ICA) is a powerful statistical tool capable of separating multivariate scalp electrical signals into their additive independent or source components, specifically EEG or electroencephalogram and artifacts. Although ICA is a widely accepted EEG signal processing technique, classification of the recovered independent components (ICs) is still flawed, as current practice still requires subjective human decisions. Here we build on the results from Fitzgibbon et al. [1] to compare three measures and three ICA algorithms...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226548/mobileheart-a-mobile-smartphone-based-application-that-supports-and-monitors-coronary-artery-disease-patients-during-rehabilitation
#13
I Frederix, S Sankaran, K Coninx, P Dendale, I Frederix, S Sankaran, K Coninx, P Dendale, K Coninx, S Sankaran, P Dendale, I Frederix
Conventional center-based cardiac rehabilitation adherence is poor, adversely affecting long-term efficacy. Innovative strategies such as telerehabilitation are perceived as promising alternatives to improve care delivery. This paper presents the results of prior and ongoing work on the design and development of MobileHeart, a telemedical smartphone-based application to be used in secondary prevention for ischemic heart disease patients. Its constituent components are discussed separately, the minimal necessary cardiovascular monitoring requirements are elaborated in more detail...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226404/the-effect-of-cortex-medulla-proportions-on-molecular-diagnoses-in-kidney-transplant-biopsies-rejection-and-injury-can-be-assessed-in-medulla
#14
Katelynn S Madill-Thomsen, Roger C Wiggins, Farsad Eskandary, Georg A Böhmig, Philip F Halloran
Histologic assessment of kidney transplant biopsies relies on cortex rather than medulla, but for microarray studies, the proportion cortex in a biopsy is typically unknown and could affect the molecular readings. The present study aimed to develop a molecular estimate of proportion cortex in biopsies and examine its effect on molecular diagnoses. Microarrays from 26 kidney transplant biopsies divided into cortex and medulla components and processed separately showed that many of the most significant differences were in glomerular genes e...
February 22, 2017: American Journal of Transplantation
https://www.readbyqxmd.com/read/28225631/conformational-changes-in-c-reactive-protein-affect-binding-to-curved-membranes-in-a-lipid-bilayer-model-of-the-apoptotic-cell-surface
#15
Aml Abd Alnaas, Carrie L Moon, Mitchell Alton, Scott M Reed, Michelle K Knowles
C-reactive protein (CRP) is a serum protein that binds to damaged membranes through a phosphatidylcholine binding site. The membrane binding process can initiate the complement immune response and facilitates the clearance of apoptotic cells, likely aiding in the protection of autoimmunity. The initiation of an immune response relies on a conformation change from a native, pentameric form to a modified form, where the modified form binds complement proteins (i.e. C1q) and regulatory proteins substantially better than the native form...
February 22, 2017: Journal of Physical Chemistry. B
https://www.readbyqxmd.com/read/28225091/phase-separation-in-ceramide-np-containing-lipid-model-membranes-neutron-diffraction-and-solid-state-nmr
#16
Annett Schroeter, Sören Stahlberg, Barbora Školová, Stefan Sonnenberger, Adina Eichner, Daniel Huster, Kateřina Vávrová, Thomas Hauß, Bodo Dobner, Reinhard H H Neubert, Alexander Vogel
The stratum corneum is the outermost layer of the skin and protects the organism against external influences as well as water loss. It consists of corneocytes embedded in a mixture of ceramides, fatty acids, and cholesterol in a molar ratio of roughly 1 : 1 : 1. The unique structural and compositional arrangement of these stratum corneum lipids is responsible for the skin barrier properties. Many studies investigated the organization of these barrier lipids and, in particular, the exact conformation of ceramides...
February 22, 2017: Soft Matter
https://www.readbyqxmd.com/read/28224688/liver-tissue-metabolic-profiling-and-pathways-of-nonalcoholic-steatohepatitis-in-rats
#17
Suwen Qi, Si Huang, Xin Chen, Qin Huo, Ni Xie, Jun Xia
AIM: The mechanisms of nonalcoholic steatohepatitis (NASH) in hepatocytes is unknown, and our aim is to study the tissue metabolic profiling and pathways of NASH. METHODS: We built rat models for simple steatosis and NASH and analyzed the liver extract using a liquid chromatograph-mass spectrometer (LC-MS). The acquired data were processed by multivariate principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) to obtain metabolic profiling...
February 22, 2017: Hepatology Research: the Official Journal of the Japan Society of Hepatology
https://www.readbyqxmd.com/read/28224610/structural-changes-in-cartilage-and-collagen-studied-by-high-temperature-raman-spectroscopy
#18
Mark Fields, Nicholas Spencer, Jayesh Dudhia, Paul F McMillan
Understanding the high temperature behavior of collagen and collagenous tissue is important for surgical procedures and biomaterials processing for the food, pharmaceutical and cosmetics industries. One primary event for proteins is thermal denaturation that involves unfolding the polypeptide chains while maintaining the primary structure intact. Collagen in the extracellular matrix of cartilage and other connective tissue is a hierarchical material containing bundles of triple-helical fibers associated with water and proteoglycan components...
February 22, 2017: Biopolymers
https://www.readbyqxmd.com/read/28224256/demonstration-of-two-types-of-fatigue-in-subjects-with-chronic-liver-disease-using-factor-analysis
#19
Ali A Weinstein, Guoqing Diao, Heibatollah Baghi, Carey Escheik, Lynn H Gerber, Zobair M Younossi
PURPOSE: The purpose of this investigation was to determine if it was possible to separate fatigue self-reports into two distinct types of fatigue symptom clusters in research subjects with chronic liver disease (CLD). It was hypothesized that when items from the Medical Outcomes Study Short-Form (SF-36v2) are combined with items from the Fatigue Severity Scale (FSS), these distinct factors will emerge. METHODS: Confirmatory and exploratory factor analyses from data collected in a prospective, natural history study of CLD patients were conducted...
February 21, 2017: Quality of Life Research
https://www.readbyqxmd.com/read/28223106/diagnosis-of-major-depressive-disorder-by-combining-multimodal-information-from-heart-rate-dynamics-and-serum-proteomics-using-machine-learning-algorithm
#20
Eun Young Kim, Min Young Lee, Se Hyun Kim, Kyooseob Ha, Kwang Pyo Kim, Yong Min Ahn
OBJECTIVE: Major depressive disorder (MDD) is a systemic and multifactorial disorder that involves abnormalities in multiple biochemical pathways and the autonomic nervous system. This study applied a machine-learning method to classify MDD and control groups by incorporating data from serum proteomic analysis and heart rate variability (HRV) analysis for the identification of novel peripheral biomarkers. METHODS: The study subjects consisted of 25 drug-free female MDD patients and 25 age- and sex-matched healthy controls...
February 18, 2017: Progress in Neuro-psychopharmacology & Biological Psychiatry
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