

The article describes organizational principles of the mobile hardware-informational system based on the multifactorial neuro-electrostimulation device. The system is implemented with two blocks: the first block forms the spatially distributed field of low-frequency monopolar current pulses between two multielement electrodes in the neck region. Functions of the second block, specialized control interface, are performed by a smartphone. Information is exchanged between two blocks through a telemetric channel. The mobile hardware-informational system allows to remotely change the structure of the current pulses field, to control its biotropic characteristics and to change the targets of the stimulation. Moreover, it provides patient data collection and processing, as well as access to the specialized databases. The basic circuit solutions for the neuro-electrostimulation device, implemented by means of microcontroller and elements of high-level hardware integration, are described. The prospects of artificial intelligence and machine learning application for treatment process management are discussed. © 2018 Vladimir S. Kublanov et al.
| Engineering controlled terms: | Artificial intelligenceComputer aided instructionData handlingHospital data processingLearning systems |
|---|---|
| Engineering uncontrolled terms | Control interfacesElectrostimulationHardware integrationsInformational systemMachine learning applicationsMobile hardwareOrganizational principlesTreatment process |
| Engineering main heading: | Hardware |
| Funding sponsor | Funding number | Acronym |
|---|---|---|
| Russian Foundation for Basic Research | 18-29-02052 | РФФИ |
| Government Council on Grants, Russian Federation |
)is study was supported by the Act 211 of the Government of the Russian Federation (contract no. 02.A03.21.0006) and was funded by RFBR (project no, 18-29-02052).
Kublanov, V.S.; Research Medical and Biological Engineering Centre of High Technologies, Ural Federal University, Mira 19, Yekaterinburg, Russian Federation;
© Copyright 2019 Elsevier B.V., All rights reserved.