Computers im ulation of cardiac electrical activity using an electrocardiograph on nanosensors

The issues related to cardiovascular diseases are considered. The method to solve some of the existing problems has been proposed. Also a two-component Aliev-Panfilov model and the algorithm of the hardware- software complexes are discussed. The obtained results are presented

Effect of averaging of high-resolution cardiac signals in medical diagnostics using Simson's method

Simson's method employed in cardiological diagnostics detects the presence or absence of late ventricular potentials to indicate cardiac pathologies. It has been a long time since the development of Simson's method, but it is still used in clinics and is often mentioned in studies related to high-resolution ECGs and averaging of ECG signals. An optimal algorithm of high-resolution ECG averaging was chosen and implemented in this study. Efficiency of Simson's method was assessed on the cardiac signal recorded using a modern hardware and software complex. The result of the study showed no relationship between late ventricular potentials and localized micropotentials on the ST interval in individual cardiac pulses

Advantages of Nanosensors in the Development of Interfaces for Bioelectric Prostheses

The present research aims to explore the bioelectric activity of muscles using a high-resolution electromyograph and to analyze the prospects of the electromyograph to develop bioelectric patterns for the prosthesis control method based on the data recognition system. The activity of the healthy forearm muscles was investigated during the cyclic activity of fingers in different modes. In addition, the impact of filters on the quality and informativity of myoelectric signals, as well as on the development of bioelectric activity patterns was analyzed. The virtually developed bandpass filters were utilized as experimental filters. The filter impact analysis included the comparison of the signal recorded in the frequency band from 0 to 10000 Hz with the signal filtered in the frequency band from 20 to 500 Hz. The research revealed the advantages of a high-resolution electromyogram for the pattern recognition-based myocontrol

Advantages of Nanosensors in the Development of Interfaces for Bioelectric Prostheses

The present research aims to explore the bioelectric activity of muscles using a high-resolution electromyograph and to analyze the prospects of the electromyograph to develop bioelectric patterns for the prosthesis control method based on the data recognition system. The activity of the healthy forearm muscles was investigated during the cyclic activity of fingers in different modes. In addition, the impact of filters on the quality and informativity of myoelectric signals, as well as on the development of bioelectric activity patterns was analyzed. The virtually developed bandpass filters were utilized as experimental filters. The filter impact analysis included the comparison of the signal recorded in the frequency band from 0 to 10000 Hz with the signal filtered in the frequency band from 20 to 500 Hz. The research revealed the advantages of a high-resolution electromyogram for the pattern recognition-based myocontrol

Development and investigation of the nanosensor-based apparatus to assess the psycho-emotional state of a person

Psycho-emotional state is one of the factors effecting human health. Its evaluation allows revealing hidden psychological trauma which can be reason of chronic stress, depression or psychosomatic disorders. Modern techniques of objective psycho-emotional state assessment involve a device which detects electrophysiological parameters of human body connected with emotional reaction and psychological condition. The present study covers development and testing of psycho-emotional state assessment device. The developed implement uses three methods of electrophysiological activity evaluation: electrocardiography, electroencephalography and galvanic skin response detection. The device represents hardware-software complex consisting of nanosensors, measuring unit, lead wires and laptop. Filters are excluded from the measuring circuit due to metrological parameters and noise immunity of implemented nanosensors. This solution minimizes signal distortion and allows measuring signals of 0.3 [mu]V and higher in a wide frequency range (0-10000 Hz) with minimal data loss. In addition, results of preliminary medical studies aimed to find correspondence between different psycho-emotional states and electrophysiological parameters are described. Impact of filters on electrophysiological studies was studied. According to the results conventional filters significantly distort EEG channel information. Further research will be directed to the creation of complete base of electrophysiological parameters related to a particular emotion

Research into spontaneous activity of myocardial cells under normal and pathological conditions using the hardware and software complex based on nanosensors

Cardiovascular diseases are the leading cause of death in the world. The paper focuses on the capability of a nanosensor-based hardware and software complex (HSC) developed at Tomsk Polytechnic University to measure the activity of myocardial cells from the surface of the human body. A comparative study of nanosensors used in the HSC and conventional AgCl electrodes by FIAB Spa (Florence, Italy) was carried out. It is shown that the value of electromagnetic interference in conventional electrodes is several times higher compared to nanosensors. ECG was recorded using the developed HSC in order to show the possibility to control the activity of myocardial cells

Advanced features of ECG mapping

Cardiovascular diseases are the leading cause of death worldwide. A great number of methods have been developed to monitor the state of the heart, each of which has its own advantages and limitations. One of the most promising method is surface mapping. To improve reliability and informativity of this method, researchers of Medical Engineering Laboratory of TPU developed nanosensors with unique metrological characteristics for non-invasive measurement of ECG signals of microvolt and nanovolt levels. The results of previous studies showed that metrological characteristics of the developed nanosensors significantly exceed those of conventional electrodes. Based on this, nanosensors used for surface ECG mapping will enable qualitative improvement of data obtained and diagnostic capabilities of this method