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Journal of Medical Signals and Sensors

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https://www.readbyqxmd.com/read/28487834/effect-of-treadmill-training-protocols-on-locomotion-recovery-in-spinalized-rats
#1
Hamid R Kobravi, Ali Moghimi, Zahra Khodadadi
Both treadmill training and epidural stimulation can help to reactivate the central pattern generator (CPG) in the spinal cord after a spinal cord injury. However, designing an appropriate training approach and a stimulation profile is still a controversial issue. Since the spinal afferent signals are the input signals of CPG in the spinal cord, it can be concluded that the number of input afferent signals can affect the quality of movement recovery, such a phenomenon is in accordance with Hebbian theory. Therefore, at first in this paper, through some simulation studies on a model of CPGs, the effective influence of increasing the afferent input weight on activating CPG model was certified...
January 2017: Journal of Medical Signals and Sensors
https://www.readbyqxmd.com/read/28487833/quantification-of-left-ventricle-function-in-stress-echocardiography-using-endocardial-area-centroid-trajectory
#2
Mohammad Jalali, Hamid Behnam, Maryam Shojaeifard, Zahra A Sani
Coronary artery occlusion has a direct effect on cardiac activity and is a well-known reason for ventricular motion disorder, specifically left ventricle (LV) wall motion dysfunction. In stress echocardiography, wall motion abnormality is exaggerated when stress is applied to the heart, and therefore, it is easier to diagnose abnormality in ventricular motion. In this study, we have presented a new parameter that measures LV function. We have shown that LV function can be measured using a variation of endocard borders during a cardiac cycle in standard stress echocardiography frames...
January 2017: Journal of Medical Signals and Sensors
https://www.readbyqxmd.com/read/28487832/isfahan-misp-dataset
#3
Masoud Kashefpur, Rahele Kafieh, Sahar Jorjandi, Hadis Golmohammadi, Zahra Khodabande, Mohammadreza Abbasi, Nilufar Teifuri, Ali Akbar Fakharzadeh, Maryam Kashefpoor, Hossein Rabbani
An online depository was introduced to share clinical ground truth with the public and provide open access for researchers to evaluate their computer-aided algorithms. PHP was used for web programming and MySQL for database managing. The website was entitled "biosigdata.com." It was a fast, secure, and easy-to-use online database for medical signals and images. Freely registered users could download the datasets and could also share their own supplementary materials while maintaining their privacies (citation and fee)...
January 2017: Journal of Medical Signals and Sensors
https://www.readbyqxmd.com/read/28487831/a-new-parallel-approach-for-accelerating-the-gpu-based-execution-of-edge-detection-algorithms
#4
Zahra Emrani, Soroosh Bateni, Hossein Rabbani
Real-time image processing is used in a wide variety of applications like those in medical care and industrial processes. This technique in medical care has the ability to display important patient information graphi graphically, which can supplement and help the treatment process. Medical decisions made based on real-time images are more accurate and reliable. According to the recent researches, graphic processing unit (GPU) programming is a useful method for improving the speed and quality of medical image processing and is one of the ways of real-time image processing...
January 2017: Journal of Medical Signals and Sensors
https://www.readbyqxmd.com/read/28487830/automated-and-erp-based-diagnosis-of-attention-deficit-hyperactivity-disorder-in-children
#5
Hossein R Jahanshahloo, Mousa Shamsi, Elham Ghasemi, Abolfazl Kouhi
Event-related potential (ERP) is one of the most informative and dynamic methods of monitoring cognitive processes, which is widely used in clinical research to deal with a variety of psychiatric and neurological disorders such as attention-deficit/hyperactivity disorder (ADHD). In this study, there were 60 participants including 30 patients with ADHD and 30 subjects as a control group. Their ERP signals were recorded by three electrodes in two modalities. After a preprocessing step, several features such as band power, fractal dimension, autoregressive (AR) model coefficients and wavelet coefficients were extracted from recorded signals...
January 2017: Journal of Medical Signals and Sensors
https://www.readbyqxmd.com/read/28487829/multi-parametric-improvements-in-the-ccd-camera-based-epid-for-portal-dosimetry
#6
Vahideh Nazari, Seied R Mahdavi, Ahmad Mostaar, Hassan Nedaei, Mohammad A Mosleh Shirazi, Alireza Nikoofar, Golbarg Esmailie
Dosimetric verification of radiation treatment has recently been extended by the introduction of electronic portal imaging devices (EPIDs). Detailed dose response specifications of EPID should be addressed prior to any dosimetric application. The present study evaluates improvements of dosimetric properties of the low elbow camera-based EPID Theraview (Cablon Medical, Leusden, The Netherlands) equipped with a cooled charge coupled device (CCD) for portal dosimetry. The dose response, warm-up behavior, stability over long- and short-term scales (throughout a day) were studied...
January 2017: Journal of Medical Signals and Sensors
https://www.readbyqxmd.com/read/28487828/predictive-control-of-the-blood-glucose-level-in-type-i-diabetic-patient-using-delay-differential-equation-wang-model
#7
Mojgan Esna-Ashari, Maryam Zekri, Masood Askari, Noushin Khalili
Because of increasing risk of diabetes, the measurement along with control of blood sugar has been of great importance in recent decades. In type I diabetes, because of the lack of insulin secretion, the cells cannot absorb glucose leading to low level of glucose. To control blood glucose (BG), the insulin must be injected to the body. This paper proposes a method for BG level regulation in type I diabetes. The control strategy is based on nonlinear model predictive control. The aim of the proposed controller optimized with genetics algorithms is to measure BG level each time and predict it for the next time interval...
January 2017: Journal of Medical Signals and Sensors
https://www.readbyqxmd.com/read/28487827/an-automatic-prolongation-detection-approach-in-continuous-speech-with-robustness-against-speaking-rate-variations
#8
Iman Esmaili, Nader Jafarnia Dabanloo, Mansour Vali
In recent years, many methods have been introduced for supporting the diagnosis of stuttering for automatic detection of prolongation in the speech of people who stutter. However, less attention has been paid to treatment processes in which clients learn to speak more slowly. The aim of this study was to develop a method to help speech-language pathologists (SLPs) during diagnosis and treatment sessions. To this end, speech signals were initially parameterized to perceptual linear predictive (PLP) features...
January 2017: Journal of Medical Signals and Sensors
https://www.readbyqxmd.com/read/28028501/aptamer-conjugated-magnetic-nanoparticles-as-targeted-magnetic-resonance-imaging-contrast-agent-for-breast-cancer
#9
Mohammad Keshtkar, Daryoush Shahbazi-Gahrouei, Seyyed Mehdi Khoshfetrat, Masoud A Mehrgardi, Mahmoud Aghaei
Early detection of breast cancer is the most effective way to improve the survival rate in women. Magnetic resonance imaging (MRI) offers high spatial resolution and good anatomic details, and its lower sensitivity can be improved by using targeted molecular imaging. In this study, AS1411 aptamer was conjugated to Fe3O4@Au nanoparticles for specific targeting of mouse mammary carcinoma (4T1) cells that overexpress nucleolin. In vitro cytotoxicity of aptamer-conjugated nanoparticles was assessed on 4T1 and HFFF-PI6 (control) cells...
October 2016: Journal of Medical Signals and Sensors
https://www.readbyqxmd.com/read/28028500/effects-of-nano-biphasic-calcium-phosphate-composite-on-bioactivity-and-osteoblast-cell-behavior-in-tissue-engineering-applications
#10
Mehdi Ebrahimian-Hosseinabadi, Mohammadreza Etemadifar, Fakhredin Ashrafizadeh
In this paper, preparation, bioactivity, and osteoblast cell behavior of cortical bone derived nano-biphasic calcium phosphate (nano-BCP) are presented. The calcined bovine bone samples with the addition of di-ammonium hydrogen phosphate were heated at 700°C for 100 min, and thus nano-BCP with the composition of 63/37 hydroxyapatite (HA)/β-tricalcium phosphate (β-TCP) was produced. Scanning electron microscopy (SEM) images, energy dispersive X-ray spectroscopy (EDS), and X-ray diffraction (XRD) analysis of immersed samples in simulated body fluid (SBF) solution showed that a uniform layer was formed on the surface after 7 days with the chemical composition of HA...
October 2016: Journal of Medical Signals and Sensors
https://www.readbyqxmd.com/read/28028499/barrett-s-mucosa-segmentation-in-endoscopic-images-using-a-hybrid-method-spatial-fuzzy-c-mean-and-level-set
#11
Hossein Yousefi-Banaem, Hossein Rabbani, Peyman Adibi
Barrett's mucosa is one of the most important diseases in upper gastrointestinal system that caused by gastro-esophagus reflux. If left untreated, the disease will cause distal esophagus and gastric cardia adenocarcinoma. The malignancy risk is very high in short segment Barrett's mucosa. Therefore, lesion area segmentation can improve specialist decision for treatment. In this paper, we proposed a combined fuzzy method with active models for Barrett's mucosa segmentation. In this study, we applied three methods for special area segmentation and determination...
October 2016: Journal of Medical Signals and Sensors
https://www.readbyqxmd.com/read/28028498/human-verification-using-a-combination-of-static-and-dynamic-characteristics-in-foot-pressure-images
#12
Fereshteh E Zare, Keivan Maghooli
Since gait is the mixture of many complex movements, each individual can define with a unique foot pressure image that can be used as a reliable biometric scale for human verification. Foot pressure color images of Center for Biometrics and Security Research (CBSR) dataset from 45 men and 5 women were used in this study. Owing to the properties of this dataset, an index of foot pressure in addition to external feature and contourlet coefficient of images was extracted. A multilayer perceptron (MLP) was utilized for verification of subjects (it is a common practice to explain more about the training and test dataset)...
October 2016: Journal of Medical Signals and Sensors
https://www.readbyqxmd.com/read/28028497/providing-an-efficient-algorithm-for-finding-r-peaks-in-ecg-signals-and-detecting-ventricular-abnormalities-with-morphological-features
#13
Mohammad Pooyan, Fateme Akhoondi
Ventricular arrhythmias are one of the most important causes of annual deaths in the world, which may lead to sudden cardiac deaths. Accurate and early diagnosis of ventricular arrhythmias in heart diseases is essential for preventing mortality in cardiac patients. Ventricular activity on the electrocardiogram (ECG) signal is in the interval from the beginning of QRS complex to T wave end. Variations in the ECG signal and its features may indicate heart condition of patients. The first step to extract features of ECG in time domain is finding R peaks...
October 2016: Journal of Medical Signals and Sensors
https://www.readbyqxmd.com/read/28028496/cepstral-analysis-of-eeg-during-visual-perception-and-mental-imagery-reveals-the-influence-of-artistic-expertise
#14
Nasrin Shourie
In this article, multichannel electroencephalogram (EEG) signals of artists and nonartists were analyzed during the performances of visual perception and mental imagery of paintings using cepstrum coefficients. Each of the calculated cepstrum coefficients and their parameters such as energy, average, standard deviation and entropy were separately used for distinguishing the two groups. It was found that a distinguishing coefficient might exist among the cepstrum coefficients, which could separate the two groups despite electrode placement...
October 2016: Journal of Medical Signals and Sensors
https://www.readbyqxmd.com/read/28028495/evaluation-of-a-low-cost-and-low-noise-active-dry-electrode-for-long-term-biopotential-recording
#15
Ali Pourahmad, Amin Mahnam
Wet Ag/AgCl electrodes, although very popular in clinical diagnosis, are not appropriate for expanding applications of wearable biopotential recording systems which are used repetitively and for a long time. Here, the development of a low-cost and low-noise active dry electrode is presented. The performance of the new electrodes was assessed for recording electrocardiogram (ECG) and electroencephalogram (EEG) in comparison with that of typical gel-based electrodes in a series of long-term recording experiments...
October 2016: Journal of Medical Signals and Sensors
https://www.readbyqxmd.com/read/28028494/interdisciplinary-researches-in-iran-vi-student-clubs
#16
EDITORIAL
Hossein Rabbani
No abstract text is available yet for this article.
October 2016: Journal of Medical Signals and Sensors
https://www.readbyqxmd.com/read/27563575/automatic-recognition-of-acute-myelogenous-leukemia-in-blood-microscopic-images-using-k-means-clustering-and-support-vector-machine
#17
Fatemeh Kazemi, Tooraj Abbasian Najafabadi, Babak Nadjar Araabi
Acute myelogenous leukemia (AML) is a subtype of acute leukemia, which is characterized by the accumulation of myeloid blasts in the bone marrow. Careful microscopic examination of stained blood smear or bone marrow aspirate is still the most significant diagnostic methodology for initial AML screening and considered as the first step toward diagnosis. It is time-consuming and due to the elusive nature of the signs and symptoms of AML; wrong diagnosis may occur by pathologists. Therefore, the need for automation of leukemia detection has arisen...
July 2016: Journal of Medical Signals and Sensors
https://www.readbyqxmd.com/read/27563574/breathomics-for-gastric-cancer-classification-using-back-propagation-neural-network
#18
D Arul Pon Daniel, K Thangavel
Breathomics is the metabolomics study of exhaled air. It is a powerful emerging metabolomics research field that mainly focuses on health-related volatile organic compounds (VOCs). Since the quantity of these compounds varies with health status, breathomics assures to deliver noninvasive diagnostic tools. Thus, the main aim of breathomics is to discover patterns of VOCs related to abnormal metabolic processes occurring in the human body. Classification systems, however, are not designed for cost-sensitive classification domains...
July 2016: Journal of Medical Signals and Sensors
https://www.readbyqxmd.com/read/27563573/three-dimensional-segmentation-of-retinal-cysts-from-spectral-domain-optical-coherence-tomography-images-by-the-use-of-three-dimensional-curvelet-based-k-svd
#19
Mahdad Esmaeili, Alireza Mehri Dehnavi, Hossein Rabbani, Fedra Hajizadeh
This paper presents a new three-dimensional curvelet transform based dictionary learning for automatic segmentation of intraretinal cysts, most relevant prognostic biomarker in neovascular age-related macular degeneration, from 3D spectral-domain optical coherence tomography (SD-OCT) images. In particular, we focus on the Spectralis SD-OCT (Heidelberg Engineering, Heidelberg, Germany) system, and show the applicability of our algorithm in the segmentation of these features. For this purpose, we use recursive Gaussian filter and approximate the corrupted pixels from its surrounding, then in order to enhance the cystoid dark space regions and future noise suppression we introduce a new scheme in dictionary learning and take curvelet transform of filtered image then denoise and modify each noisy coefficients matrix in each scale with predefined initial 3D sparse dictionary...
July 2016: Journal of Medical Signals and Sensors
https://www.readbyqxmd.com/read/27563572/detecting-gait-phases-from-rgb-d-images-based-on-hidden-markov-model
#20
Hamed Heravi, Afshin Ebrahimi, Ehsan Olyaee
Gait contains important information about the status of the human body and physiological signs. In many medical applications, it is important to monitor and accurately analyze the gait of the patient. Since walking shows the reproducibility signs in several phases, separating these phases can be used for the gait analysis. In this study, a method based on image processing for extracting phases of human gait from RGB-Depth images is presented. The sequence of depth images from the front view has been processed to extract the lower body depth profile and distance features...
July 2016: Journal of Medical Signals and Sensors
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