24 results match your criteria Biomedical Signal Processing And Control[Journal]

  • Page 1 of 1

Smoking detection based on regularity analysis of hand to mouth gestures.

Biomed Signal Process Control 2019 May 22;51:106-112. Epub 2019 Feb 22.

Department of Electrical and Computer Engineering, The University of Alabama, Tuscaloosa, AL 35487, USA.

A number of studies have been introduced for the detection of smoking via a variety of features extracted from the wrist IMU data. However, none of the previous studies investigated gesture regularity as a way to detect smoking events. This study describes a novel method to detect smoking events by monitoring the regularity of hand gestures. Read More

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http://dx.doi.org/10.1016/j.bspc.2019.01.026DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6400470PMC

A quantitative performance study of two automatic methods for the diagnosis of ovarian cancer.

Biomed Signal Process Control 2018 Sep;46:86-93

Department of Women's Cancer, Institute for Women's Health, University College London, London WC1E 6BT, United Kingdom.

We present a quantitative study of the performance of two automatic methods for the early detection of ovarian cancer that can exploit longitudinal measurements of multiple biomarkers. The study is carried out for a subset of the data collected in the UK Collaborative Trial of Ovarian Cancer Screening (UKCTOCS). We use statistical analysis techniques, such as the area under the Receiver Operating Characteristic (ROC) curve, for evaluating the performance of two techniques that aim at the classification of subjects as either healthy or suffering from the disease using time-series of multiple biomarkers as inputs. Read More

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http://dx.doi.org/10.1016/j.bspc.2018.07.001DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6146655PMC
September 2018
9 Reads

Prostate cancer recognition based on mass spectrometry sensing data and data fingerprint recovery.

Biomed Signal Process Control 2017 Mar 16;33:392-399. Epub 2017 Jan 16.

Chemical and Paper Engineering, Western Michigan University, Kalamazoo, MI, USA.

The high dimensionality and noisy spectra of Mass Spectrometry (MS) data are two of the main challenges to achieving high accuracy recognition. The objective of this work is to produce an accurate prediction of class content by employing compressive sensing (CS). Not only can CS significantly reduce MS data dimensionality, but it will also allow for full reconstruction of original data. Read More

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http://dx.doi.org/10.1016/j.bspc.2016.12.003DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5621758PMC
March 2017
14 Reads

Current Source Mapping by Spontaneous MEG and ECoG in Piglets Model.

Biomed Signal Process Control 2016 Jan 9;23:76-84. Epub 2015 Sep 9.

Department of Neurology, University of New Mexico, Albuquerque, NM 87131, USA.

The previous research reveals the presence of relatively strong spatial correlations from spontaneous activity over cortex in Electroencephalography (EEG) and Magnetoencephalography (MEG) measurement. A critical obstacle in MEG current source mapping is that strong background activity masks the relatively weak local information. In this paper, the hypothesis is that the dominant components of this background activity can be captured by the first Principal Component (PC) after employing Principal Component Analysis (PCA), thus discarding the first PC before the back projection would enhance the exposure of the information carried by a subset of sensors that reflects the local neuronal activity. Read More

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http://dx.doi.org/10.1016/j.bspc.2015.07.008DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4998190PMC
January 2016
49 Reads

Noise reduction in intracranial pressure signal using causal shape manifolds.

Biomed Signal Process Control 2016 Jul 30;28:19-26. Epub 2016 Apr 30.

Department of Neurology and Computer Science, University of California, Los Angeles, USA.

We present the Iterative/Causal Subspace Tracking framework (I/CST) for reducing noise in continuously monitored quasi-periodic biosignals. Signal reconstruction of the basic segments of the noisy signal (e.g. Read More

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http://dx.doi.org/10.1016/j.bspc.2016.03.003DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5604468PMC
July 2016
13 Reads

A Matched Dual-Tree Wavelet Denoising for Tri-Axial Swallowing Vibrations.

Biomed Signal Process Control 2016 May 8;27:112-121. Epub 2016 Mar 8.

Department of Electrical and Computer Engineering, Swanson School of Enginering, University of Pittsburgh, Pittsburgh, PA, USA,

Swallowing disorders affect thousands of patients every year. Currently utilized techniques to screen for this condition are questionably reliable and are often deployed in non-standard manners, so efforts have been put forth to generate an instrumental alternative based on cervical auscultation. These physiological signals with low signal-to-noise ratios are traditionally denoised by well-known wavelets in a discrete, single tree wavelet decomposition. Read More

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http://dx.doi.org/10.1016/j.bspc.2016.01.012DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4853171PMC
May 2016
14 Reads

Experimental Investigation on Minimum Frame Rate Requirements of High-Speed Videoendoscopy for Clinical Voice Assessment.

Biomed Signal Process Control 2015 Mar 29;17:21-28. Epub 2014 Dec 29.

Division of Pediatric Otolaryngology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.

This study investigated the impact of high-speed videoendoscopy (HSV) frame rates on the assessment of nine clinically-relevant vocal-fold vibratory features. Fourteen adult patients with voice disorder and 14 adult normal controls were recorded using monochromatic rigid HSV at a rate of 16000 frames per second (fps) and spatial resolution of 639×639 pixels. The 16000-fps data were downsampled to 16 other rate denominations. Read More

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https://linkinghub.elsevier.com/retrieve/pii/S17468094140017
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http://dx.doi.org/10.1016/j.bspc.2014.11.007DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5630145PMC
March 2015
12 Reads

Statistical evaluation of reproducibility of automated ECG measurements: an example from arrhythmogenic right ventricular dysplasia/cardiomyopathy clinic.

Biomed Signal Process Control 2014 Sep;13:23-30

The Division of Cardiology, Department of Medicine, Johns Hopkins Hospital, Baltimore, MD, USA.

Background: Arrhythmogenic right ventricular dysplasia/cardiomyopathy (ARVD/C) is characterized by delay in depolarization of the right ventricle, detected by prolonged terminal activation duration (TAD) in V1-V3. However, manual ECG measurements have shown moderate-to-low intra- and inter-reader agreement. The goal of this study was to assess reproducibility of automated ECG measurements in the right precordial leads. Read More

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https://linkinghub.elsevier.com/retrieve/pii/S17468094140004
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http://dx.doi.org/10.1016/j.bspc.2014.03.009DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4036813PMC
September 2014
22 Reads
1.532 Impact Factor

Application of neural networks for the prediction of cartilage stress in a musculoskeletal system.

Biomed Signal Process Control 2013 Nov;8(6):475-482

Civil and Mechanical Engineering, University of Missouri - Kansas City, Kansas City, MO, USA.

Traditional finite element (FE) analysis is computationally demanding. The computational time becomes prohibitively long when multiple loading and boundary conditions need to be considered such as in musculoskeletal movement simulations involving multiple joints and muscles. Presented in this study is an innovative approach that takes advantage of the computational efficiency of both the dynamic multibody (MB) method and neural network (NN) analysis. Read More

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http://dx.doi.org/10.1016/j.bspc.2013.04.004DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3752919PMC
November 2013
17 Reads

Predicting the intelligibility of reverberant speech for cochlear implant listeners with a non-intrusive intelligibility measure.

Biomed Signal Process Control 2013 May;8(3):311-314

Division of Speech & Hearing Sciences, The University of Hong Kong, Hong Kong, China.

Reverberation is known to reduce the temporal envelope modulations present in the signal and affect the shape of the modulation spectrum. A non-intrusive intelligibility measure for reverberant speech is proposed motivated by the fact that the area of the modulation spectrum decreases with increasing reverberation. The proposed measure is based on the average modulation area computed across four acoustic frequency bands spanning the signal bandwidth. Read More

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https://linkinghub.elsevier.com/retrieve/pii/S17468094120012
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http://dx.doi.org/10.1016/j.bspc.2012.11.007DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3661770PMC
May 2013
14 Reads

Automatic food intake detection based on swallowing sounds.

Biomed Signal Process Control 2012 Nov 6;7(6):649-656. Epub 2012 Apr 6.

Department of Electrical, Computer, and Biomedical Engineering, University of Rhode Island, 4 East Alumni Ave, Kingston, RI 02881, USA.

This paper presents a novel fully automatic food intake detection methodology, an important step toward objective monitoring of ingestive behavior. The aim of such monitoring is to improve our understanding of eating behaviors associated with obesity and eating disorders. The proposed methodology consists of two stages. Read More

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http://dx.doi.org/10.1016/j.bspc.2012.03.005DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3483798PMC
November 2012
96 Reads

Automatic identification of the number of food items in a meal using clustering techniques based on the monitoring of swallowing and chewing.

Biomed Signal Process Control 2012 Sep 5;7(5):474-480. Epub 2011 Dec 5.

University of Alabama, Department of Electrical and Computer Engineering, Tuscaloosa, AL 35487, United States.

The number of distinct foods consumed in a meal is of significant clinical concern in the study of obesity and other eating disorders. This paper proposes the use of information contained in chewing and swallowing sequences for meal segmentation by food types. Data collected from experiments of 17 volunteers were analyzed using two different clustering techniques. Read More

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http://dx.doi.org/10.1016/j.bspc.2011.11.004DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3484889PMC
September 2012
11 Reads

COMPUTER DETECTION APPROACHES FOR IDENTIFICATION OF PHASIC ELECTROMYOGRAPHIC (EMG) ACTIVITY DURING HUMAN SLEEP.

Biomed Signal Process Control 2012 Nov 28;7(6):606-615. Epub 2012 Mar 28.

Department of Neurology and Program in Sleep Medicine, Emory University School of Medicine, Atlanta, Georgia ; Department of Computing, Georgia Institute of Technology, Atlanta, Georgia.

BACKGROUND: Examination of spontaneously occurring phasic muscle activity from the human polysomnogram may have considerable clinical importance for patient care, yet most attempts to quantify the detection of such activity have relied upon laborious and intensive visual analyses. We describe in this study innovative signal processing approaches to this issue. METHODS: We examined multiple features of surface electromyographic signals based on 16,200 individual 1-second intervals of low impedance sleep recordings. Read More

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http://dx.doi.org/10.1016/j.bspc.2012.02.003DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3462821PMC
November 2012
21 Reads

Neuron Selection by Relative Importance for Neural Decoding of Dexterous Finger Prosthesis Control Application.

Biomed Signal Process Control 2012 Nov 3;7(6):632-639. Epub 2012 Apr 3.

Department of Electronics Engineering, Pusan National University, Busan 609-735, Korea. Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD 21205 USA.

Future generations of upper limb prosthesis will have dexterous hand with individual fingers and will be controlled directly by neural signals. Neurons from the primary motor (M1) cortex code for finger movements and provide the source for neural control of dexterous prosthesis. Each neuron's activation can be quantified by the change in firing rate before and after finger movement, and the quantified value is then represented by the neural activity over each trial for the intended movement. Read More

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https://linkinghub.elsevier.com/retrieve/pii/S17468094120002
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http://dx.doi.org/10.1016/j.bspc.2012.03.003DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3459996PMC
November 2012
19 Reads

A study of non-invasive Patlak quantification for whole-body dynamic FDG-PET studies of mice.

Biomed Signal Process Control 2012 Sep;7(5):438-446

School of Medicine, Shanghai Jiaotong University, Shanghai, China.

Physiological changes in dynamic PET images can be quantitatively estimated by kinetic modeling technique. The process of PET quantification usually requires an input function in the form of a plasma-time activity curve (PTAC), which is generally obtained by invasive arterial blood sampling. However, invasive arterial blood sampling poses many challenges especially for small animal studies, due to the subjects' limited blood volume and small blood vessels. Read More

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http://dx.doi.org/10.1016/j.bspc.2011.11.005DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3433071PMC
September 2012
10 Reads

Communication and Control System for a 15-Channel Hermetic Retinal Prosthesis.

Biomed Signal Process Control 2011 Oct;6(4):356-363

Center for Innovative Visual Rehabilitation, Boston VA Healthcare System, 150 South Huntington Avenue, Boston, MA 02130 USA.

A small, hermetic, wirelessy-controlled retinal prosthesis has been developed for pre-clinical studies in Yucatan minipigs. The device was attached conformally to the outside of the eye in the socket and received both power and data wirelessly from external sources. Based on the received image data, the prosthesis drove a subretinal thin-film polyimide array of sputtered iridium oxide stimulating electrodes. Read More

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http://dx.doi.org/10.1016/j.bspc.2011.05.007DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3172729PMC
October 2011
14 Reads
1.530 Impact Factor

On the application of (topographic) independent and tree-dependent component analysis for the examination of DCE-MRI data.

Biomed Signal Process Control 2009 Jul;4(3):247-253

Department of Electrical and Computer Engineering, Florida State University, Tallahassee 32301, USA.

In this contribution we investigate the applicability of different methods from the field of independent component analysis (ICA) for the examination of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) data from breast cancer research. DCE-MRI has evolved in recent years as a powerful complement to X-ray based mammography for breast cancer diagnosis and monitoring. In DCE-MRI the time related development of the signal intensity after the administration of a contrast agent can provide valuable information about tissue states and characteristics. Read More

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http://dx.doi.org/10.1016/j.bspc.2009.03.010DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2916199PMC
July 2009
11 Reads

Adaptive Bolus-chasing Computed Tomography Angiography in the Cases of Symmetric and Asymmetric Arterial Flows in Peripheral Arteries.

Biomed Signal Process Control 2009 Oct;4(4):302-308

Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA, 52242.

Synchronization of the contrast bolus peak and CT imaging aperture is a crucial issue for computed tomography angiography (CTA). It affects the CTA image quality and the amount of contrast dose. A whole-body CTA procedure means to scan from the abdominal aorta to pedal arteries. Read More

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http://linkinghub.elsevier.com/retrieve/pii/S174680940900009
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http://dx.doi.org/10.1016/j.bspc.2009.01.008DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2858228PMC
October 2009
12 Reads

Fatigue and non-fatigue mathematical muscle models during functional electrical stimulation of paralyzed muscle.

Biomed Signal Process Control 2010 Apr;5(2):87-93

Dept of Elect rical and Computer Engineering, University of Iowa, Iowa City, IA 52242.

Electrical muscle stimulation demonstrates potential for preventing muscle atrophy and for restoring functional movement after spinal cord injury (SCI). Control systems used to optimize delivery of electrical stimulation protocols depend upon the algorithms generated using computational models of paralyzed muscle force output. The Hill-Huxley-type model, while being highly accurate, is also very complex, making it difficult for real-time implementation. Read More

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http://linkinghub.elsevier.com/retrieve/pii/S174680940900094
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http://dx.doi.org/10.1016/j.bspc.2009.12.001DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3647619PMC
April 2010
14 Reads

On the Design of a Flexible Stimulator for Animal Studies in Auditory Prostheses.

Biomed Signal Process Control 2009 Nov;2009:1-5

University of Texas at Dallas, Department of Electrical Engineering, Richardson, TX 75080-3021, USA.

The present paper describes the design of two stimulators (bench-top and portable) which can be used for animal studies in cochlear implants. The bench-top stimulator is controlled by a high-speed digital output board manufactured by National Instruments and is electrically isolated. The portable stimulator is controlled by a personal digital assistant (PDA) and is based on a custom interface board that communicates with the signal processor in the PDA through the secure digital IO (SDIO) slot. Read More

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http://dx.doi.org/10.1016/j.bspc.2011.05.008DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3144571PMC
November 2009
12 Reads

Adaptive Bolus Chasing Computed Tomography Angiography: Control Scheme and Experimental Results.

Biomed Signal Process Control 2008 Oct;3(4):319-326

Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA, 52242.

In this paper, a new adaptive bolus-chasing control scheme is proposed to synchronize the bolus peak in a patient's vascular system and the imaging aperture of a computed tomography (CT) scanner. The proposed control scheme is theoretically evaluated and experimentally tested on a modified Siemens SOMATOM Volume Zoom CT scanner. The first set of experimental results are reported on bolus-chasing CT angiography using realistic bolus dynamics, real-time CT imaging and adaptive table control with physical vasculature phantoms. Read More

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http://dx.doi.org/10.1016/j.bspc.2008.04.005DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2598763PMC
October 2008
20 Reads

K-space spatial low-pass filters can increase signal loss artifacts in Echo-Planar Imaging.

Biomed Signal Process Control 2008 Jan;3(1):107-114

Medical Department, Brookhaven National Laboratory, Upton, NY.

Effective transverse relaxation rate (T(2)*)-weighted echo-planar imaging (EPI) is extensively used for functional magnetic resonance imaging (fMRI), because of its high speed and good sensitivity to the blood oxygenation level-dependent (BOLD) signal. Nevertheless, its use is limited in areas with severe static magnetic field inhomogeneities that cause frequency shifts and T(2)* relaxation-related distortions of the MR signal along the time-domain (k-space) trajectory, resulting in disperse time-domain signals and generating susceptibility-induced signal losses. Echo planar images are commonly smoothed with k-space spatial low-pass filters to improve the signal-to-noise ratio (SNR) and reduce reconstruction artifacts. Read More

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http://dx.doi.org/10.1016/j.bspc.2007.11.003DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2350228PMC
January 2008
8 Reads

Epoch length to accurately estimate the amplitude of interference EMG is likely the result of unavoidable amplitude cancellation.

Biomed Signal Process Control 2008 Apr;3(2):154-162

Division of Biokinesiology & Physical Therapy, University of Southern California, CA USA.

Researchers and clinicians routinely rely on interference electromyograms (EMGs) to estimate muscle forces and command signals in the neuromuscular system (e.g., amplitude, timing, and frequency content). Read More

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http://linkinghub.elsevier.com/retrieve/pii/S174680940800003
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http://dx.doi.org/10.1016/j.bspc.2008.01.002DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2597835PMC
April 2008
12 Reads

IMPROVED TRANSFORMATION OF MORPHOMETRIC MEASUREMENTS FOR A PRIORI PARAMETER ESTIMATION IN A PHYSIOLOGICALLY-BASED PHARMACOKINETIC MODEL OF ETHANOL.

Biomed Signal Process Control 2007 Apr;2(2):97-110

Purdue University Weldon School of Biomedical Engineering, West Lafayette, IN 47906.

Prescription of the brain's time course of exposure to experimentally administered ethanol can be achieved with intravenous infusion profiles computed from a physiologically-based pharmacokinetic (PBPK) model of alcohol distribution and elimination. Previous parameter estimation employed transformations of an individual's age, height, weight and gender inferred from the literature, with modeling errors overcome with real-time, intermittent feedback. Current research applications, such as ethanol exposures administered during fMRI scanning, require open-loop infusions, thus improved transformation of morphometric measurements. Read More

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http://linkinghub.elsevier.com/retrieve/pii/S174680940700024
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http://dx.doi.org/10.1016/j.bspc.2007.04.001DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2180397PMC
April 2007
12 Reads
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