The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The following topics are dealt with: signal processing; image processing; bioinstrumentation and new devices; health IS and decision support systems; biomechanics and prosthetics; bioinformatics and data mining; bionano technology; brain research and BCI; clinical engineering; pattern recognition and visualization; and medical imaging.
Empirical Mode Decomposition (EMD) is widely used in biomedical field especially for electrocardiogram (ECG) signal processing. The combination of EMD with Hilbert Transform, the Hilbert Huang Transform (HHT), offers higher frequency resolution and more accurate timing of transient non-stationary signals than conventional integral transform techniques. Embedded computing and signal processing chips...
This paper examines the presence of metabolic syndrome (MS) in young university students of medicine (18 to 20 years old). More than 10% of students were diagnosed with MS, academic outcomes of such students during a semester showed that the grades of young people with MS were significantly lower than those of healthy young people. Multifractal analysis was applied to analyze heartbeat time series...
Position and force control are two critical aspects of prosthetic control. Surface electromyographic (sEMG) signals can be used for skeletal muscle force estimation. In this paper, skeletal muscle is considered as a system and System Identification (SI) is used to model sEMG and skeletal muscle force. The recorded sEMG signal is filtered utilizing optimized nonlinear Half-Gaussian Bayesian filter,...
Power-line interference can severely distort electrocardiographs (ECGs). Several techniques have been proposed to eliminate the power-line interference without affecting the ECGs. One of the well-established techniques is the Adaptive Noise Canceler (ANC). In this paper we propose an improvement to the ANC by eliminating the need to sample an external power-line reference. The proposed method is shown...
In this work, multiscale principal component analysis (MSPCA) is introduced for denoising of multichannel electrocardiogram (MECG) signals. Wavelet decomposition of MECG signals segments the clinical information content at different Wavelet subbands or scales. At subband levels or scales multivariate data matrix are formed using Wavelet coefficients extracted from the same scales of MECG signals....
Composite Strain Encoding (C-SENC) is a new MRI technique that acquires cardiac functional and viability images simultaneously. It combines the use of Delayed Enhancement (DE) imaging to identify the infracted (dead) tissue inside the heart muscle and the ability to image myocardial deformation from the Strain Encoding (SENC) imaging technique. In this work, a new multi-stage technique is proposed...
Multi-slice short-axis acquisitions of the left ventricle are fundamental for estimating the volume and mass of the left ventricle in cardiac MRI scans. Manual segmentation of the myocardium in all time frames per each cross-section is a cumbersome task. Therefore, automatic myocardium segmentation methods are essential for cardiac functional analysis. Region growing has been proposed to segment the...
The objective of this study was to compare the real-world in-hospital working accuracies of optical tracking and electromagnetic tracking system modalities of surgical navigators that enable the use of both modalities. Two special phantoms for this purpose were designed and developed at the Department of Mechanical Engineering, University of Oulu, and Oulu University Hospital, Oulu, Finland, by the...
The principal goal of the segmentation process is to partition an image into classes or subsets that are homogeneous with respect to one or more characteristics or features. In medical imaging, segmentation is important for feature extraction, image measurements, and image display. This study presents a new version of complex-valued artificial neural networks (CVANN) for the biomedical image segmentation...
A new method which reduce speckle noise and enhance contrast is proposed for medical ultrasound imaging. We modified the conventional nonlinear coherent diffusion (NCD) and proposed the edge enhancing nonlinear coherent diffusion (EENCD) for this purpose. The EENCD suppresses the speckle noise in a homogenous region, and it performs both directional filtering on the contour direction and edge enhancement...
In this work, we propose an algorithm for segmenting the ascending and descending aorta from magnetic resonance phase contrast images, also referred to as MR flow imaging. The proposed algorithm is based on the active contour model combined with some refinements. In addition, false segmentation results due to severe image artifacts are automatically detected and corrected. The developed algorithm...
Clinically many methodologies, both invasive and non-invasive, have been applied on the assessment of intestinal function in vivo. In routine, there are two preferable non-invasive methods, including ultrasound imaging and stethoscope, to get insight of intestinal motility for clinical diagnosis. However, the operation of traditional monitors is relied on professionals' experience, and also the sensing...
The assessment of respiratory system mechanics in mechanically ventilated newborns would help in tailoring the ventilatory settings. The Forced Oscillations Technique (FOT) is a non-invasive method for the measurement of the mechanical properties of the respiratory system. The aim of the present work was to develop a measurement set-up suitable to apply FOT in mechanically ventilated newborns. Forced...
Recent studies demonstrated that diastolic heart sounds, recorded with an electronic stethoscope, contain markers of coronary artery disease (CAD). A difficult is that the CAD-related sound is very weak and recordings are often contaminated by noise. The current study analyses the noise contamination of 633 stethoscope recordings from a clinical environment. Respiration noise, ambient noise, recording...
The objective of this study was to design and develop a phantom and an accuracy assessment protocol for surgical devices used at Oulu University Hospital, Oulu, Finland. The main criteria for this phantom were that it needed to be manufactured with sub-millimetric error between the calibration holes, easy to use and dimensionally suitable for MR scanners and an O-arm used at Oulu University Hospital...
Object localization has become a necessary module in many radiofrequency identification (RFID) systems that require tracking features besides the conventional identification feature. A number of techniques exists in literature that uses the RFID signal information to locate the tagged objects, i.e. objects wearing RFID tags. Nevertheless, in many applications, it is required to track objects that...
Home Mechanical Ventilation is applied to patients with different chronic respiratory diseases and, in order to be effective, it requires accurate individual titration. Nowadays this can be obtained only in the hospital during day or night visits, and this is associated with long waiting lists and high costs. The aim of this work was to realize and test a simple system that allows a remote titration...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.