குறியிடப்பட்டது
  • ஜெ கேட் திறக்கவும்
  • ஜெனமிக்ஸ் ஜர்னல்சீக்
  • CiteFactor
  • காஸ்மோஸ் IF
  • சிமாகோ
  • Ulrich's Periodicals Directory
  • எலக்ட்ரானிக் ஜர்னல்ஸ் லைப்ரரி
  • RefSeek
  • ஹம்டார்ட் பல்கலைக்கழகம்
  • EBSCO AZ
  • ஜர்னல்களுக்கான சுருக்க அட்டவணைப்படுத்தலின் அடைவு
  • OCLC- WorldCat
  • பிராக்வெஸ்ட் சம்மன்ஸ்
  • அறிஞர்
  • சாலை
  • உயிரியல் மெய்நிகர் நூலகம் (vifabio)
  • பப்ளான்கள்
  • மருத்துவக் கல்வி மற்றும் ஆராய்ச்சிக்கான ஜெனீவா அறக்கட்டளை
  • கூகுள் ஸ்காலர்
இந்தப் பக்கத்தைப் பகிரவும்
ஜர்னல் ஃப்ளையர்
Flyer image

சுருக்கம்

Multifunctional Neurodevice for Recognition of Electrophysiological Signals and Data Transmission in an Exoskeleton Construction

Natalia Nikolaevna Shusharina, Evgeny Anatolyevich Bogdanov, Vitaliy Andreevich Petrov, Ekaterina Vladimirovna Silina and Maksim Vladimirovich Patrushev

The most important task of health care is the increasing of life expectancy and improving the quality of life of the population. Taking into consideration the high numbers of disability, it is very relevant to establish a high-precision neurodevice, allowing the integration of people with limited functional abilities into the society. This paper presents the provisional results of a research work, the main aim of which was to develop the multifunctional neurodevice with the ability to transfer data to an exoskeleton construction. In the first phase, we selected the optimal way for a neurodevice layout that would be capable to measure the electromyography (EMG), electroencephalography (EEG), electroocu- lography (EOG), photoplethysmography, body temperature for a long period of time, and also motor activity with the ability to send data to a remote practitioner in real time. The software was developed. Experiments were conducted; at the same time the final (residual) graphical results were compared with the commercially available devices. The experimental results showed a high accuracy of the signals of EEG, EMG, EOG, photoplethysmography, thermometry, and physical activity. In conclusion, with the participation of 10 healthy volunteers, the study of hybridization of EEG and EMG signals was carried out, and it showed a significant advantage in comparison with only one modal system. It is expected that a further work will allow us to formulate optimal technical solutions based on the present knowledge of human physiology. This would be the basis for creating a highly accurate and safe multifunction neurodevice and would be able to meet the medico-social needs and would help to reintegrate people with disabilities into society by connecting them to the robotic technique, to the exoskeletons.

மறுப்பு: இந்த சுருக்கமானது செயற்கை நுண்ணறிவு கருவ