In this paper, we present a method for preprocessing images from laryngeal high-speed videoendoscopy (LHSV). We developed image processing procedures to better prepare the images for automated computer analysis. Namely, we removed shifts between consecutive LHSV images and glares distorting the images, detected the region of interest, rotated the images, and finally detected vocal fold regions. We tested the developed algorithms on 13 LHSV recordings made for healthy patients and present example results of the conducted study.
The temporomandibular joint (TMJ) is an even joint in the human head that allows for a movable connection between the skull and the mandible and performs complex movements. According to statistical data, it is estimated that disorders within the masticatory apparatus affect 60 to 80
Prediction models that rely on time series data are often affected by diminished predictive accuracy. This occurs from the causal relationships of the data that shift over time. Thus, the changing weights that are used to create prediction models lose their informational value. One way to correct this change is by using concept drift information. That is exactly what prediction models in biomedical applications need. Currently, metabolomics is at the forefront in modeling analysis for phenotype prediction, making it one of the most interesting candidates for biomedical prediction diagnosis. However, metabolomics datasets include dynamic information that can harm prediction modeling. The study presents concept drift correction methods to account for dynamic changes that occur in metabolomics data for better prediction outcomes of phenotypes in a biomedical setting.
The paper presents a new approach to preventive examinations of employees in relation to the low reliability of the appraisals made due to experiencing stress that does not allow employees to fully present their potential. This approach is illustrated using the example of a case study of a voice professional. The study provides a detailed, quantitative view of the emotions experienced, revealed during the voice recording and audiometry procedure. Differences were found as a result of the study in terms of the intensity of emotions. EDA and HRV measurement values were highest when questionnaires were being completed concerning the emotions experienced during voice recording and audiometry. The discussion focuses on the possibilities of analysing emotions using psychophysiological measurements and on the benefits of combining research methods (physical examinations, psychological examinations, and psychophysiological measurements) in the context of employee appraisal to predict the effects of the impact of work on subjective well-being and health of individuals.
The aim of the article is to compare the morphological features of language between people suffering from anorexia and healthy people. The research was conducted in cooperation with the Medical University of Silesia on the basis of a pilot group of people: 41 from anorexia patients and 55 from healthy young females. The study focuses on the statistics for the following parts of speech: personal pronoun ‘I’, possessive adjective ‘my’ verbs, adjectives. Several significant differences were detected, including abnormal usage of the personal pronoun ‘I’ and mostly verb ‘to be’, and action verbs by anorectic people. In the future, it is planned to conduct the research on a larger group of patients and include the descriptions of the drawings in the re-search.
