Affective State during Physiotherapy and Its Analysis Using Machine Learning Methods

Invasive or uncomfortable procedures especially during healthcare trigger emotions. Technological development of the equipment and systems for monitoring and recording psychophysiological functions enables continuous observation of changes to a situation responding to a situation. The presented study aimed to focus on the analysis of the individual’s affective state. The results reflect the excitation expressed by the subjects’ statements collected with psychological questionnaires. The research group consisted of 49 participants (22 women and 25 men). The measurement protocol included acquiring the electrodermal activity signal, cardiac signals, and accelerometric signals in three axes. Subjective measurements were acquired for affective state using the JAWS questionnaires, for cognitive skills the DST, and for verbal fluency the VFT. The physiological and psychological data were subjected to statistical analysis and then to a machine learning process using different features selection methods (JMI or PCA). The highest accuracy of the kNN classifier was achieved in combination with the JMI method (81.63%) concerning the division complying with the JAWS test results. The classification sensitivity and specificity were 85.71% and 71.43%

Relationship between body sway and body build in healthy adult men and women

Studies investigating the relationship between balance ability and body size, build and proportions tend to concentrate on body mass and height rather than breadth parameters or size of individual body segments. The purpose of this study was to determine a relationship between the ability to keep balance and the size, build and proportions, based on breadth and length dimensions of the body in healthy adult men and women during a position of free standing. This study also aimed to investigate how the lack of visual control affects the analyzed relationship. The study group consisted of 102 adults of both sexes. The investigations encompassed anthropometric measurements of the body and the ability to keep balance. The analysis covered a of series anthropometric parameters, 9 indices of body proportions, mean velocity of the COP movement (MV) and ellipse area (EA). A statistical analysis of the results was carried out taking into consideration the division into groups due to sexes. The results of the Pearson correlation have revealed that there is a statistically significant correlation (weak or moderate degree) between anthropometric parameters of the body and stabilographic values. Results differ between sexes and depend on whether Romberg’s test was performed with open or closed eyes. The obtained results showed that the surface area of ellipse significantly depends on the dimensions of these body elements which relate to the position of the centre of mass. The obtained results, which differ depending on sex, show that the values of the body sways in a position of free standing depend on breadth and length dimensions of the body, visual control and the analyzed parameter of balance

ROAD TRAFFIC ESTIMATION USING BLUETOOTH SENSORS

The Bluetooth standard is a low-cost, very popular communication protocol offering a wide range of applications in many fields. In this paper, a novel system for road traffic estimation using Bluetooth sensors has been presented. The system consists of three main modules: filtration, statistical analysis of historical, and traffic estimation and prediction. The filtration module is responsible for the classification of road users and detecting measurements that should be removed. Traffic estimation has been performed on the basis of the data collected by Bluetooth measuring devices and information on external conditions (e.g., temperature), all of which have been gathered in the city of Bielsko-Biala (Poland). The obtained results are very promising. The smallest average relative error between the number of cars estimated by the model and the actual traffic was less than 10%

Ocena stanu fizjologicznego w czasie chodu z pobudzeniami metrorytmicznymi

The study aimed to examine the influence of providing information about reacting to the heard musical stimuli while treadmill walking on physiological signals of participants. The study group consisted of 30 adults: group 1 was not informed how to react, group 2 received an instruction to adjust the frequency of steps to the music. The gait was carried out on a Zebris FDM-S treadmill for various sound stimuli using the Empatica E4 band to acquire electrodermal activity and heart rate. Information about moving to the stimuli did not change how the subjects responded physiologically during the test.Celem badania było sprawdzenie, czy informacje o sposobie reagowania na słyszane bodźce muzyczne podczas chodzenia na bieżni istotnie wpływają na sygnały fizjologiczne uczestników. W badaniu uczestniczyło 30 dorosłych: grupa 1 nie została poinformowana o tym, jak reagować na słyszane dźwięki, grupa 2 otrzymała polecenie dostosowania częstotliwości kroków do muzyki. Chód rejestrowano na bieżni Zebris FDM-S, a do akwizycji sygnałów fizjologicznych wykorzystano opaskę Empatica E4. Informacje o tym, jak reagować na bodźce nie zmieniały sygnałów fizjologicznych u badanych