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The thesis deals with problems of automatic detection of premature ventricular contractions in ECG records. One detection method which uses a convolutional neural network and LSTM units is implemented in the Python language. Cardiac cycles extracted from one-lead ECG were used for detection. F1 score for binary classification (PVC and normal beat) on the test dataset reached 96,41 % and 81,76 % for three-class classification (PVC, normal beat and other arrhythmias). Lastly, the accuracy of the classification is evaluated and discussed, the achieved results for binary classification are comparable to the results of methods described in different papers.

The purpose of the present study was to test the use of visually displayed EMG biofeedback as a means for training hearing impaired adolescents to reduce anterior temporalis or frontalis muscle tension . Five male and four female hearing impaired students between the ages of 13 and 15 were chosen from the California School for the Deaf, Fremont, CA to serve as participants. Each participant was randomly assigned to either an experimental or control condition. Participants in the experimental groups were given five 15 minute EMG biofeedback training sessions. An additional group of 4 adolescents with normal hearing from Marshall Junior High School, Stockton, CA served as a hearing control group. The dependent measure was a 5 minute pretest and post-test measurement of muscle tension (in microvolts). Split-plot analyses were performed to determine if there were significant differences between a ) the .hearing impaired experimental and the hearing impaired control groups, b) the hearing impaired control and the hearing control groups, and c) the hearing impaired experimental group and the hearing control group. Results of the analyses showed that at post-test both the hearing impaired experimental group and the hearing control group showed a significant decrease in muscle tension F(1,7)=5.85 p< .05. The interaction was nonsignificant. Comparison of the two control groups showed that at post-test the two groups were not significantly different in levels of muscle tension. The comparison between the hearing impaired experimental and the hearing control groups resulted in a significant interaction (Group X Time of Testing) F( 1,6)=9.47, p=.02, and the main effect for time of testing approached significance.

Diploma work is focused on basic characteristics of optical measuring methods commonly used to rate contactions of isolated heart cell and describes basic actions, that are connected with it. A camera record made by a microscope served as basis for optical measuring methods of contractions chosen by us, with using appropriate method elaborating and analysis of pictures used for detection of important part of cell structure. The suggested user application built-up in Matlab environment allows analysis and interpretation of contractional functions in two methodical ways.

Mémoire numérisé par la Direction des bibliothèques de l'Université de Montréal.

This study investigated whether acute myocardial ischemia of the anterior left ventricular wall induced an increase in cardiac sympathetic efferent nerve activity and thereby affected regional myocardial blood flow and contractile function.

<p>Merenje kvaliteta slike korišćenjem indeksa za kvalitet slike, ne mora da odražava i praktični kvalitet slike, odnosno nije baziran na HVS (Human visual system) modelu. Formiranje razmatranih funkcija, koje se koriste u algoritmu filtriranja za određivanje rastojanja među pikselima, može se vršiti&nbsp; na različite načine, što se može videti u radovima iz oblasti filtriranja slike, daje širok spektar mogućnosti da se ispita uticaj fazi rastojanja npr. fazi T-metrike ili fazi Ѕ-metrike mogu imati na sam proces filtriranja slike. Cilj je poboljšanje kvaliteta slike u odnosu na medijanski filter. U okviru teorijskih razmatranja prostora sa fazi rastojanjem dobijeni su i rezultati iz teorije nepokretne tačke koji pružaju mogućnost dalje primene ovih prostora u tehnici.</p> / <p>Measuring the image quality using a given image quality index does not necessarily reflect the practical quality of the image, that is, it is not based on the HVS (Human Visual System) model. The formation of given functions, which are used in the filtering algorithm for determining the distance between the pixels, can be done in different ways, which can be seen in works in the field of image filtering, provides a wide range of possibilities to examine the effect of fuzzy distance, for example, of the fuzzy T-metric or the fuzzy S-metric can have on the image filtering process itself. The goal is to improve image quality in relation to a vector median filter. Within the theoretical considerations of space with fuzzy distance, results from the fixed point theory have been obtained which provide the possibility of further application of these spaces in the technique.</p>

The aim of this thesis is to analyze zonality of the thermal contraction crack polygons on the surface of Mars. Their morphology and its variation are analyzed in relation to the latitude of Mars. For spatial and morphological analysis were selected 64 images from the HiRISE (Mars Reconnaissance Orbiter) polychromatic camera dataset, images are covering the bandwidths proportionally. Images were first visually analyzed using HiView. 258 areas containing the thermal contraction crack polygons (with total area of 1184 km2 ) and 1036 well developed thermal contraction crack polygons were further vectorized using ArcMap. The thermal contraction crack polygons were found in every searched latitude which proves the ubiquity of permafrost. The largest amount of the thermal contraction crack polygons have been found in latitudes ±60ř and 45ř. In these latitudes were also found the largest and probably the deepest thermal contraction crack polygons (average length ranges from 42,1 - 73,6 m). The smallest polygons (average length 7,7 m) were found around the equator. "Altitude" has no effect on the spread of the thermal contraction crack polygons on Mars; however it has the effect on its morphology. The most widespread are pentagonal polygons, which occur mainly in the southern hemisphere. The next most...

The shoulder is one of the most complex joints in the body. It has a large range of motion and has active, as well as passive, components to its stabilization. Many injuries occur every year due to overexertion and strain on the shoulder. Musculoskeletal models can be used as a proactive ergonomics tool for shoulder specific job task design, and to help prevent these injuries before they occur. The purpose of this thesis was to critically evaluate the performance of four optimization criteria (sum of squared activation, sum of cubed activation, sum of quartic activation, and entropy assisted) using the open source modeling platform OpenSIM. Experimental torque, kinematic, and EMG data were collected using ten participants for a variety of dynamic arm movements, and static arm postures, in different planes of action. The kinematic and torque data were processed and used as inputs to OpenSIM to calculate predicted muscle activations and joint reaction forces. Experimental EMG was cross correlated with the predicted muscle activity of 8 muscles, and RMSD was calculated between experimental and predicted muscle activity for evaluation. A co-contraction index was also used to assess the model’s ability to predict co-activation between muscle pairs. Overall, the sum of cubed activation and sum of quartic activation model predictions explained significantly more variance (38 ±2.5%, p<0.01) than the sum of squares and entropy models, when compared with experimental EMG. In conclusion, the type of optimization criterion chosen had an effect on the accuracy of the model predictions. Future research, in the development of optimization criterions for the shoulder, will create better model predictions of muscle forces and joint reaction forces, enabling musculoskeletal models to be more useful as a tool to the clinical and ergonomic populations. / Thesis / Master of Science (MSc) / The shoulder is one of the most complex joints in the body. It has a large range of motion and has muscles and ligaments to support the stability of the complex. Many injuries occur every year due to overexertion and strain on the shoulder. Proactively modelling can help reduce these injuries by evaluating a job's likelihood to injure a worker before the worker does the job. The purpose of this thesis was to evaluate the performance of several different shoulder models. Experimental torque, kinematic, and EMG data were collected using ten participants for a variety of dynamic arm movements, and static arm postures, in different planes of action. The kinematic and torque data were used by the model to predict muscle activations and joint reaction forces. Experimental EMG was cross correlated with the predicted muscle activity of 8 muscles, and RMSD was calculated between experimental and predicted muscle activity for evaluation. A co-contraction index was also used to assess the model’s ability to predict co-activation between muscle pairs. Overall, the sum of cubed activation and sum of quartic activation model predictions explained significantly more variance (38 ±2.5%, p<0.01) than the sum of squares and entropy models, when compared with experimental EMG. In conclusion, the type of model chosen had an effect on the accuracy of the model predictions. Future research, in the development of optimization criterions for shoulder models, will create better model predictions of muscle forces and joint reaction forces, enabling musculoskeletal models to be more useful as a tool to the clinical and ergonomic populations.