Contactless Fall Detection by Means of Multiple Bioradars and Transfer Learning.

Fall detection in humans is critical in the prevention of life-threatening conditions. This is especially important for elderly people who are living alone. Therefore, automatic fall detection is one of the most relevant problems in geriatrics.

Fall Detection Using Multiple Bioradars and Convolutional Neural Networks.

A lack of effective non-contact methods for automatic fall detection, which may result in the development of health and life-threatening conditions, is a great problem of modern medicine, and in particular, geriatrics. The purpose of the present work was to investigate the advantages of utilizing a multi-bioradar system in the accuracy of remote fall detection. The proposed concept combined usage of wavelet transform and deep learning to detect fall episodes.

Challenges and Potential Solutions of Psychophysiological State Monitoring with Bioradar Technology.

Psychophysiological state monitoring provides a promising way to detect stress and accurately assess wellbeing. The purpose of the present work was to investigate the advantages of utilizing a new unobtrusive multi-transceiver system on the accuracy of remote psychophysiological state monitoring by means of a bioradar technique. The technique was tested in laboratory conditions with the participation of 35 practically healthy volunteers, who were asked to perform arithmetic and physical workload tests imitating different types of stressors.

Estimation of a priori probabilities of sleep stages: A cycle-based approach.

This paper presents a model for the estimation of a priori probabilities of sleep epoch classes based on the epoch location in a sleep cycle. These probabilities are used as additional features for sleep stage classification based on the analysis of respiratory effort. The model was validated with data of 685 subjects selected from the Sleep Heart Health Study dataset.

Automated long-term contactless temperature monitoring in animals via a thermographic camera.

The paper deals with a problem of a remote prolonged temperature monitoring of biological objects. It presents an algorithm for automatic analysis and processing of video recording from a thermographic camera. Special attention is paid to the limitation of the method taking into account the possibility of its utilizing in laboratory conditions.

Bioradiolocation-based sleep stage classification.

This paper presents a method for classifying wakefulness, REM, light and deep sleep based on the analysis of respiratory activity and body motions acquired by a bioradar. The method was validated using data of 32 subjects without sleep-disordered breathing, who underwent a polysomnography study in a sleep laboratory. We achieved Cohen's kappa of 0.

Sleep stage classification based on bioradiolocation signals.

This paper presents an algorithm for the detection of wakeful state, rapid eye movement sleep (REM) and non-REM sleep based on the analysis of respiratory movements acquired through a bioradar. We used the data from 29 subjects without sleep-related breathing disorders who underwent a polysomnography study at a sleep laboratory. A leave-one-subject-out cross-validation procedure was used for testing the classification performance.

Sleep stage classification based on respiratory signal.

One of the research tasks, which should be solved to develop a sleep monitor, is sleep stages classification. This paper presents an algorithm for wakefulness, rapid eye movement sleep (REM) and non-REM sleep detection based on a set of 33 features, extracted from respiratory inductive plethysmography signal, and bagging classifier. Furthermore, a few heuristics based on knowledge about normal sleep structure are suggested.

Sleep architecture measurement based on cardiorespiratory parameters.

This paper presents a method for the detection of wakeful state, rapid eye movement sleep (REM), light sleep (N1&N2) and deep sleep (N3&N4) based on cardiorespiratory parameters. Experiments were conducted with data of 625 subjects without sleep-disordered breathing selected from the SHHS dataset. Compared to previous studies, our method considers results of neighboring epochs classification and epoch position over record time.

[Meteorological risk factors of stroke].

Based on correlation analysis of stroke, recorded in Khanty-Mansiysk during 5 years, and standard meteorological factors, we found the significant relationship between the frequency of stroke and daily temperature amplitude. The positive correlation between the frequency of stroke and between-day changes in air temperature in the combination with changes in atmospheric pressure during 3 h was identified. A maximal number of strokes was recorded in December, April, May and July and a minimal number was in January, June, August and September.

[Clinical and epidemiological characteristics of stroke in the Khanty-Mansi autonomous region].

A study of registry data revealed that morbidity, mortality, early lethality and frequency of secondary cases of stroke were significantly lower compared to those in the Russian Federation that could be explained by the younger mean age of the population in the Khanty-Mansi autonomous okrug (KMAO). Annual frequency of new cases of stroke among men was higher than among women though the prevalence of risk factors was lower in men. The levels of morbidity in men and women differed significantly than in the country as a whole.

[Disturbances of blood lipid content after acute disorders of brain blood flow].

The parameters of blood lipid spectrum have been analyzed in 421 patients who survived cerebral stroke and transitory ischemic attacks in 2004-2008. The study included people of Khanty-Mansiysk and Khanty-Mansi autonomous okrug and watchmen. The statistical analysis did not reveal differences between mean concentrations of total cholesterol, high and low density lipoproteins and triglycerides in the settled population and in watchmen.

[Epidemiology and risk factors of cerebral stroke in Khanty-Mansiysk autonomic region: population register data].

Based on register data, epidemiologic indicators of cerebral stroke for the population of Khanty-Mansiysk autonomic okrug and values of early mortality and mean ages of patients have been obtained. The structure of acute disturbances of brain blood circulation has been studied. It has been shown that morbidity and mortality from cerebral stroke in the population of autonomic okrug is significantly lower compared to the same indicators in the Russian Federation in whole.

[The accelerated training of skin-fascia flaps].

The suggested method for training cutaneofascial flaps is based on the results of histological studies, it can be applied in the early postoperative period, and reduces the intervals between the stages of plastic surgery with flaps. Training is possible in any localization of the cutaneofascial flap.

[Characteristics of the sequelae to frostbite of the extremities].

At the burn centre in Donetsk, from 1979 to 1988, 236 sufferers with a III-IV degree frostbite of the extremities were treated. Operated on were 189 patients, who underwent necrectomy, amputation of the extremity and different types of skin plasty. Of these patients, 49.