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Comparison of FFT and marginal spectra of EEG using empirical mode decomposition to monitor anesthesia
• A method for monitoring the anesthetized patients during surgery is proposed.• The analysis characterizes the state of consciousness using electroencephalogram.• There is agreement between the performance of two frequency analysis techniques (EMD+FFT and HHT).• This work establishes a suit able classifier of anesthesia through the optimal frequency threshold. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - September 12, 2016 Category: Bioinformatics Authors: Shih-Jui Chen, Chia-Ju Peng, Yi-Chun Chen, Yean-Ren Hwang, Ying-Sian Lai, Shou-Zen Fan, Kuo-Kuang Jen Source Type: research

A survey of nature-inspired algorithms for feature selection to identify parkinson's disease
• We perform a comparative analysis of nature inspired-algorithms for feature selection to aid the classification of affected Parkinson's patients from the rest.• Feature selection was applied to datasets of Gait& Speech of Parkinson's Patients. • Binary Bat Algorithm outperformed traditional techniques like Particle Swarm Optimization (PSO), Genetic Algorithm and Modified Cuckoo Search Algorithm. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - September 11, 2016 Category: Bioinformatics Authors: Prashant Shrivastava, Anupam Shukla, Praneeth Vepakomma, Neera Bhansali, Kshitij Verma Source Type: research

Exploring the complementarity of THz pulse imaging and DCE-MRIs: Toward a unified multi-channel classification and a deep learning framework
This work aims to establish first the application of THz pulse imaging and DCE-MRI imaging as complementary modalities to identify and assess disease proliferation. Examples from the literature are used to show the unique advantages but also limitations associated with each imaging technique. Second, the work aims to provide an account of recent advances in time series analysis and imaging, for both THz pulse and DCE-MRI imaging modalities, this establishes that both communities are facing similar problems at the pre-processing de-noising stage so that software standardization may be possible through the universal applicat...
Source: Computer Methods and Programs in Biomedicine - September 8, 2016 Category: Bioinformatics Authors: X.-X. Yin, Y. Zhang, J. Cao, J.-L. Wu, S. Hadjiloucas Source Type: research

Exploring the complementarity of THz pulse imaging and DCE-MRIs: towards a unified multi-channel classification & a deep learning framework
• This is a literature review paper, aiming to provide a survey of recent advances in biomedical image analysis and classification from emergent imaging modalities such as terahertz (THz) pulse imaging (TPI) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and identify their unde rlining commonalities.• Highlights of our review include a generic approach for treating two-dimensional pixel as well as three-dimensional voxel datasets on the basis of identified amplitude and phase features in the respective time-domain signatures of such heterogeneous datasets; this enables t he development of a unified ...
Source: Computer Methods and Programs in Biomedicine - September 8, 2016 Category: Bioinformatics Authors: X.-X. Yin, Y. Zhang, J. Cao, J.-L. Wu, S. Hadjiloucas Source Type: research

Automated diagnosis of macular edema and central serous retinopathy through robust reconstruction of 3D retinal surfaces
• This paper proposes a novel approach to automatically diagnose Macular Edema (ME), Central Serous Retinopathy (CSR) and healthy pathologies from Optical Coherence Tomography (OCT) volumes through robust reconstruction of 3D OCT retinal surfaces.• To the best of our knowledge, this paper propos es a first ever novel approach to incorporate 3D OCT volumes to automatically diagnose and screen ME, CSR and healthy subjects.• The proposed method is fully automated and it uses a Support Vector Machine (SVM) based multilevel classification system to diagnose all the three types of macular patho logies from OCT volumes. (So...
Source: Computer Methods and Programs in Biomedicine - September 8, 2016 Category: Bioinformatics Authors: Adeel M. Syed, Taimur Hassan, M. Usman Akram, Samra Naz, Shehzad Khalid Source Type: research

Positive state observer for the automatic control of the depth of anesthesia —Clinical results
General anesthesia enables a patient to tolerate surgical procedures that would otherwise inflict unbearable pain, potentiate extreme physiologic exacerbations, and result in unpleasant memories. The components of general anesthesia are areflexia (paralysis), hypnosis (unconsciousness and amnesia), and analgesia (absence of any sensation, including pain). The depth of anesthesia (DoA) is related to the intensity of these two latter components and is achieved by the administration of two drugs: a hypnotic and an analgesic. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - September 7, 2016 Category: Bioinformatics Authors: Filipa N. Nogueira, T. Mendon ça, P. Rocha Source Type: research

Positive state observer for the automatic control of the depth of anesthesia - clinical results
• Positive state observer was designed for control law.• Controller-observer scheme was implemented in patients during surgical procedures.• Control law performed in practice as theoretically expected.• Good clinical performance under a variety of clinical situations. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - September 7, 2016 Category: Bioinformatics Authors: Filipa N. Nogueira, T. Mendon ça, P. Rocha Source Type: research

A new approach to early diagnosis of congestive heart failure disease by using Hilbert –Huang transform
An electrocardiogram (ECG) is a signal that records the electrical changes within the heart at regular intervals. Electrodes with different characteristics are used to obtain ECG signals (ECGs) from various parts of the body (arms, legs, chest, etc.). The horizontal plane of the ECG is time; the vertical plane is the amplitude of the electrical potential [1]. The ECG varies in frequency band from 0.5  Hz to 100 Hz and varies in amplitude value from 0 mV to 5 mV [2,3]. The ECG is used consistently for the monitoring and diagnosis of atrial and ventricular conduction disorders, rhythm disturbances and pericarditis, h...
Source: Computer Methods and Programs in Biomedicine - September 6, 2016 Category: Bioinformatics Authors: Gokhan Altan, Yakup Kutlu, Novruz Allahverdi Source Type: research

A new approach to early diagnosis of congestive heart failure disease by using hilbert-huang transform
• Diagnosis of Congestive Heart Failure (CHF) is achieved with a high accuracy rate and sensitivity rate than other works on the same databases.• The most important feature that makes the study superior to other studies is diagnosing of Coronary Artery Disease (CAD) that is known as early diagno sis of CHF with a high rate of accuracy and sensitivity.• This work provides integration of two diagnostic systems into a single system. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - September 6, 2016 Category: Bioinformatics Authors: Gokhan Altan, Yakup Kutlu, Novruz Allahverdi Source Type: research

Examining palpebral conjunctiva for anemia assessment with image processing methods
Examining the hemoglobin level of blood is an important way to achieve the diagnosis of anemia, but it requires blood drawing and blood test. Examining the color distribution of palpebral conjunctiva is a standard procedure of anemia diagnosis, which requires no blood test. However, since color perception is not always consistent among different people, we attempt to imitate the way of physical examination of palpebral conjunctiva to detect anemia, so that computers can identify anemia patients automatically in a consolidated manner for a screening process. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - September 6, 2016 Category: Bioinformatics Authors: Yi-Ming Chen, Shaou-Gang Miaou, Hongyu Bian Source Type: research

The reliability and validity of a clinical 3D freehand ultrasound system
Image 1 (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - September 5, 2016 Category: Bioinformatics Authors: Francesco Cenni, Davide Monari, Kaat Desloovere, Erwin Aertbeli ën, Simon-Henri Schless, Herman Bruyninckx Source Type: research

Pull out strength calculator for pedicle screws using a surrogate ensemble approach
• Density, insertion depth, insertion angle and reinsertion had a significant effect (p (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - September 5, 2016 Category: Bioinformatics Authors: Vicky Varghese, Palaniappan Ramu, Venkatesh Krishnan, G Saravana Kumar Source Type: research

Risk Analysis of Lung Cancer and Effects of Stress Level On Cancer Risk Through Neuro-Fuzzy Model
In this study, risk of getting lung cancer will be obtained and patients will be provided with directions to exterminate the risk. After calculating the risk value for lung cancer, status of the patient's susceptibility and resistance to stress are used in determining the effects of stress to disease. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - September 4, 2016 Category: Bioinformatics Authors: A. Y ılmaz, S. Arı, Ü. Kocabıçak Source Type: research

Profiling intra-patient type I diabetes behaviors
• The methodology helps to identify the most common situations affecting blood glucose control for every single patient.• Adjusting insulin therapy to the identified situations leads to more accurate blood glucose control, improving patient's quality of life.• The insights provided by the meth odology allow doctors and patients to understand and act properly with situations that appear in the daily life.• The methodology can be easily integrated in the existing commercial platforms based on CGM-CSII systems. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - August 31, 2016 Category: Bioinformatics Authors: Iv án Contreras, Carmen Quirós, Marga Giménez, Ignacio Conget, Josep Vehi Source Type: research

Dynamic ECG features for atrial fibrillation recognition
This study / paper highlights on several aspects as follows: • The characterization of atrial fibrillation using second order dynamic system.• The optimum windowing length of ECG signal processing during normal sinus rhythm (NSR) and during atrial fibrillation (AF) with normal sinus rhythm (N) according to pattern recognition machine learning using an art ificial neural network (ANN) and a support vector machine (SVM) with k-fold cross validation (k-CV) to develop an ECG recognition system.• The study proposed a method based on dynamic system, which achieved high sensitivity and specificity and able to describe the o...
Source: Computer Methods and Programs in Biomedicine - August 30, 2016 Category: Bioinformatics Authors: Nurul Ashikin Abdul-Kadir, Norlaili Mat Safri, Mohd Afzan Othman Source Type: research