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Computer Methods and Programs in Biomedicine

Melanie Kolditz, Thivaharan Albin, Dirk Abel, Alessandro Fasse, Gert-Peter Brüggemann, Kirsten Albracht
BACKGROUND AND OBJECTIVE: Effective leg extension training at a leg press requires high forces, which need to be controlled to avoid training-induced damage. In order to avoid high external knee adduction moments, which are one reason for unphysiological loadings on knee joint structures, both training movements and the whole reaction force vector need to be observed. In this study, the applicability of lateral and medial changes in foot orientation and position as possible manipulated variables to control external knee adduction moments is investigated...
September 27, 2016: Computer Methods and Programs in Biomedicine
Daniel P Redmond, Yeong Shiong Chiew, Vincent Major, J Geoffrey Chase
Monitoring of respiratory mechanics is required for guiding patient-specific mechanical ventilation settings in critical care. Many models of respiratory mechanics perform poorly in the presence of variable patient effort. Typical modelling approaches either attempt to mitigate the effect of the patient effort on the airway pressure waveforms, or attempt to capture the size and shape of the patient effort. This work analyses a range of methods to identify respiratory mechanics in volume controlled ventilation modes when there is patient effort...
September 23, 2016: Computer Methods and Programs in Biomedicine
Filipa N Nogueira, T Mendonça, P Rocha
The depth of anesthesia (DoA) is a crucial feature in general anesthesia. Nowadays the DoA is usually evaluated by the bispectral index (BIS). According to the surgical procedure, different reference levels for the BIS may be clinically required. This can be achieved by the simultaneous administration of an analgesic (e.g. remifentanil) and an hypnotic (eg propofol). As a contribution to the effort of automating the processes of drug delivery in general anesthesia, in this paper, a positive state observer is designed for the implementation of a control scheme proposed for the automatic administration of propofol and of remifentanil, in order to track a desired level for the BIS...
September 13, 2016: Computer Methods and Programs in Biomedicine
Daniel Rüschen, Miriam Rimke, Jonas Gesenhues, Steffen Leonhardt, Marian Walter
BACKGROUND AND OBJECTIVES: Sufficient cardiac output is one of the main goals of ventricular assist device therapy. To date, there is no adequate method to estimate the combined amount of blood the native heart and a continuous-flow assist device pump through the circulatory system. This paper presents an approach to estimate total cardiac output based on the signals provided by optical pressure sensors mounted on the inlet and outlet of an Abiomed Impella CP pump. METHODS: Two Kalman filters were used in parallel for joint estimation of the aortic flow rate and the hydraulic resistance of the aortic valve...
August 30, 2016: Computer Methods and Programs in Biomedicine
Qiaochu Li, Carine Jauberthie, Lilianne Denis-Vidal, Zohra Cherfi
BACKGROUND AND OBJECTIVE: This paper deals with the improvement of parameter estimation in terms of precision and computational time for dynamical models in a bounded error context. METHODS: To improve parameter estimation, an optimal initial state design is proposed combined with a contractor. This contractor is based on a volumetric criterion and an original condition initializing this contractor is given. Based on a sensitivity analysis, our optimal initial state design methodology consists in searching the minimum value of a proposed criterion for the interested parameters...
August 9, 2016: Computer Methods and Programs in Biomedicine
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November 2016: Computer Methods and Programs in Biomedicine
Francesco Cenni, Davide Monari, Kaat Desloovere, Erwin Aertbeliën, Simon-Henri Schless, Herman Bruyninckx
BACKGROUND AND OBJECTIVE: Acquiring large anatomical volumes in a feasible manner is useful for clinical decision-making. A relatively new technique called 3D freehand ultrasonography is capable of this by combining a conventional 2D ultrasonography system. Currently, a thorough analysis of this technique is lacking, as the analyses are dependent on the software implementation details and the choice of measurement systems. Therefore this study starts by making this implementation available under the form of an open-source software library to perform 3D freehand ultrasonography...
November 2016: Computer Methods and Programs in Biomedicine
Sandeep Raj, Kailash Chandra Ray, Om Shankar
BACKGROUND AND OBJECTIVE: The increase in the number of deaths due to cardiovascular diseases (CVDs) has gained significant attention from the study of electrocardiogram (ECG) signals. These ECG signals are studied by the experienced cardiologist for accurate and proper diagnosis, but it becomes difficult and time-consuming for long-term recordings. Various signal processing techniques are studied to analyze the ECG signal, but they bear limitations due to the non-stationary behavior of ECG signals...
November 2016: Computer Methods and Programs in Biomedicine
Xiaowei Li, Bin Hu, Shuting Sun, Hanshu Cai
BACKGROUND AND OBJECTIVE: Depression has become a major health burden worldwide, and effectively detection of such disorder is a great challenge which requires latest technological tool, such as Electroencephalography (EEG). This EEG-based research seeks to find prominent frequency band and brain regions that are most related to mild depression, as well as an optimal combination of classification algorithms and feature selection methods which can be used in future mild depression detection...
November 2016: Computer Methods and Programs in Biomedicine
Nurul Ashikin Abdul-Kadir, Norlaili Mat Safri, Mohd Afzan Othman
BACKGROUND: Atrial fibrillation (AF) can cause the formation of blood clots in the heart. The clots may move to the brain and cause a stroke. Therefore, this study analyzed the ECG features of AF and normal sinus rhythm signals for AF recognition which were extracted by using a second-order dynamic system (SODS) concept. OBJECTIVE: To find the appropriate windowing length for feature extraction based on SODS and to determine a machine learning method that could provide higher accuracy in recognizing AF...
November 2016: Computer Methods and Programs in Biomedicine
Iván Contreras, Carmen Quirós, Marga Giménez, Ignacio Conget, Josep Vehi
BACKGROUND: The large intra-patient variability in type 1 diabetic patients dramatically reduces the ability to achieve adequate blood glucose control. A novel methodology to identify different blood glucose dynamics profiles will allow therapies to be more accurate and tailored according to patient's conditions and to the situations faced by patients (exercise, week-ends, holidays, menstruation, etc). MATERIALS AND METHODS: A clustering methodology based on the normalized compression distance is applied to identify different profiles for diabetic patients...
November 2016: Computer Methods and Programs in Biomedicine
A Seara Vieira, L Borrajo, E L Iglesias
In text classification problems, the representation of a document has a strong impact on the performance of learning systems. The high dimensionality of the classical structured representations can lead to burdensome computations due to the great size of real-world data. Consequently, there is a need for reducing the quantity of handled information to improve the classification process. In this paper, we propose a method to reduce the dimensionality of a classical text representation based on a clustering technique to group documents, and a previously developed Hidden Markov Model to represent them...
November 2016: Computer Methods and Programs in Biomedicine
Negin Malekian, Jafar Habibi, Mohammad Hossein Zangooei, Hojjat Aghakhani
BACKGROUND AND OBJECTIVE: There are many cells with various phenotypic behaviors in cancer interacting with each other. For example, an apoptotic cell may induce apoptosis in adjacent cells. A living cell can also protect cells from undergoing apoptosis and necrosis. These survival and death signals are propagated through interaction pathways between adjacent cells called gap junctions. The function of these signals depends on the cellular context of the cell receiving them. For instance, a receiver cell experiencing a low level of oxygen may interpret a received survival signal as an apoptosis signal...
November 2016: Computer Methods and Programs in Biomedicine
Panpan Wu, Kewen Xia, Hengyong Yu
BACKGROUND AND OBJECTIVE: Dimensionality reduction techniques are developed to suppress the negative effects of high dimensional feature space of lung CT images on classification performance in computer aided detection (CAD) systems for pulmonary nodule detection. METHODS: An improved supervised locally linear embedding (SLLE) algorithm is proposed based on the concept of correlation coefficient. The Spearman's rank correlation coefficient is introduced to adjust the distance metric in the SLLE algorithm to ensure that more suitable neighborhood points could be identified, and thus to enhance the discriminating power of embedded data...
November 2016: Computer Methods and Programs in Biomedicine
Mayara B V Mundim, Danilo R Dias, Ronaldo M Costa, Cláudio R Leles, Paulo M Azevedo-Marques, Rejane F Ribeiro-Rotta
BACKGROUND AND OBJECTIVES: Computer vision extracts features or attributes from images improving diagnosis accuracy and aiding in clinical decisions. This study aims to investigate the feasibility of using texture analysis of periapical radiograph images as a tool for dental implant treatment planning. METHODS: Periapical radiograph images of 127 jawbone sites were obtained before and after implant placement. From the superimposition of the pre- and post-implant images, four regions of interest (ROI) were delineated on the pre-implant images for each implant site: mesial, distal and apical peri-implant areas and a central area...
November 2016: Computer Methods and Programs in Biomedicine
Clayton R Pereira, Danilo R Pereira, Francisco A Silva, João P Masieiro, Silke A T Weber, Christian Hook, João P Papa
BACKGROUND AND OBJECTIVE: Even today, pointing out an exam that can diagnose a patient with Parkinson's disease (PD) accurately enough is not an easy task. Although a number of techniques have been used in search for a more precise method, detecting such illness and measuring its level of severity early enough to postpone its side effects are not straightforward. In this work, after reviewing a considerable number of works, we conclude that only a few techniques address the problem of PD recognition by means of micrography using computer vision techniques...
November 2016: Computer Methods and Programs in Biomedicine
Ahnaf Rashik Hassan, Abdulhamit Subasi
BACKGROUND AND OBJECTIVE: Computerized epileptic seizure detection is essential for expediting epilepsy diagnosis and research and for assisting medical professionals. Moreover, the implementation of an epilepsy monitoring device that has low power and is portable requires a reliable and successful seizure detection scheme. In this work, the problem of automated epilepsy seizure detection using singe-channel EEG signals has been addressed. METHODS: At first, segments of EEG signals are decomposed using a newly proposed signal processing scheme, namely complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN)...
November 2016: Computer Methods and Programs in Biomedicine
D Sánchez-Molina, C Arregui-Dalmases, J Velázquez-Ameijide, M Angelini, J Kerrigan, J Crandall
BACKGROUND AND OBJECTIVE: Abrupt accelerations or decelerations can cause large strain in brain tissues and, consequently, different forms of Traumatic Brain Injury (TBI). In order to predict the effect of the accelerations on the soft tissues of the brain, many different injury metrics have been proposed (typically, an injury metric is a real valued functional of the accelerations). The objective of this article is to make a formal and empirical comparison, in order to identify general criteria for reasonable injury metrics, and propose a general guideline to avoid ill-proposed injury metrics...
November 2016: Computer Methods and Programs in Biomedicine
Min-Huey Chung, Cheng-Hsun Ho, Hsyien-Chia Wen
OBJECTIVE: The American Nurses Association endorsed the use of online patient personal health records (PHRs) and challenged all nurses to obtain the health records of patients. However, few studies have explored the factors associated with the intentions of nurses to use patient PHRs. Our study used an extended technology acceptance model, with the theory of planned behavior and perceived credibility, to explore factors associated with the intentions of nurses to use patient PHRs. METHODS: This cross-sectional quantitative study comprised a sample of 635 nurses who had worked full time for at least 3 months, and they were recruited from three hospitals affiliated with a university in northern Taiwan...
November 2016: Computer Methods and Programs in Biomedicine
Robert Xu, Graham A Wright
BACKGROUND AND OBJECTIVES: The use of pre-procedural magnetic resonance (MR) roadmap images for interventional guidance has limited anatomical accuracy due to intra-procedural respiratory motion of the heart. Therefore, the objective of this study is to explore the use of a rapidly updated dynamic motion model to correct for respiratory motion induced errors during MRI-guided cardiac interventions. The motivation for the proposed technique is to improve the accuracy of MRI guidance by taking advantage of the anatomical context provided by the high resolution prior images and the respiratory motion information present in a series of realtime MR images...
November 2016: Computer Methods and Programs in Biomedicine
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