Russian Scientists Create One-of-a-Kind Technology for Brain Disorders Treatment

A team of scientists of Ural Federal University headed by Prof. Vladimir Kublanov created a hardware-information system for brain disorders prophylaxis and treatment unrivaled both in Russia and throughout the world. The system developers published the article describing the system in the journal Mobile Information Systems (UK).

According to the World Health Organization, brain disorders (mainly strokes) are amongst the main mortality factors in the world.

"Clinical trials of the system created by UrFU scientists in Ekaterinburg and Moscow confirmed its effectiveness (which is higher compared to other treatment modes) in rehabilitation of patients suffering from the consequences of strokes, brain injuries, brain damage as a result of toxic or alcohol poisonings, neuroinfections, atrophic diseases of the brain such as Alzheimer's, Parkinson's, Pick's, Huntington's diseases," says Timur Petrenko, Associate Professor at the Ural State Medical University's Department of Psychiatry.

Some remarkable results were observed during the trials, like bringing patients out of the vegetative state, effective treatment of multiple sclerosis, treatment-resistant epilepsy, neuropathy, arterial hypertension, vegetovascular dystonia, migraine, depressive and anxiety disorders, ADHD, autism, stuttering, enuresis (in children), glaucoma , diabetic retinopathy and age-related degeneration of vision, restoration of mental and emotional activity, speech, hearing, motor functions.

The system consists of two blocks: neuro-electrostimulation device and a smartphone. The device includes two multielement electrodes which are attached to the neck, the area that comprises such centers of segmental control for vital functions as glossopharyngeal, accessory, vagus nerves and their branches, cervical plexus of the spinal nerves, carotid plexus, nodes of the sympathetic trunk formed by the nervous processes of the autonomic nuclei of the spinal cord.

"Delicate, painless electrostimulation of these areas ("targets") with spatially distributed fields of monopolar low-frequency current pulses exercises a healthy influence over gray matter and cerebral cortex, thalamus, hypothalamus, cerebellum, cerebral arteries, olfactory system, brain stem and vegetative nucleus of the spinal cord," Vladimir Kublanov explains.

The device is monitored controlled by the doctor via a smartphone or a tablet with a special Android/iOS/Windows Phone application, and the two blocks exchange information through Android Bluetooth Low Energy API.

"Telemedicine is mainly aimed at the follow-up of patients, general state of health monitoring, counselling. We went further and suggested treatment under continual care of a doctor. Unlike pharmacological therapy, this method is "targeted", which assumes no negative side effects on the entire body," Mikhail Babich, one of the developers, says. "Our system is convenient in that it allows a patient to go through rehabilitation in the comfort of their own home. A doctor, on the other hand, is able to control the system remotely, in real time, and monitor up to 10 patients in such a way, both at rest and during exercise (like running on a treadmill or riding a stationary bicycle). Significantly, the system is compact, mobile, easy to operate, has small weight and considerable duration of autonomous operation - minimum of 24 hours."

The information about the patient's condition is transmitted by the attending physician from their smartphone to the server of the medical institution. This ensures the protection of patients' personal data and excludes unauthorized and unprofessional interpretation of the indications of the neurostimulating device, while the doctor receives a database of accumulated data which is used when making diagnoses, choosing treatment, correcting or discontinuing it.

"Artificial intelligence does not replace the doctor but supports them in making decisions. Biomedical signals received via Bluetooth from the device are processed using the algorithms developed by us. Artificial intelligence recognizes certain patterns, and the doctor receives clear, consistent information: whether the patient is healthy or sick, and if they are sick, what the dynamics is compared with previous indicators. The processes of diagnosis and choosing the trajectory of treatment are significantly accelerated," explains the system's co-author Anton Dolganov.

Now the developers are looking for partners for the commercialization of the successfully tested system.

Vladimir S Kublanov, Mikhail V Babich, Anton Yu Dolganov.
Mobile Hardware-Information System for Neuro-Electrostimulation.
Mobile Information Systems, Volume 2018, Article ID 2168307. doi: 10.1155/2018/2168307.

Most Popular Now

Top 20 Breaking eHealth News of 2018

eHealthNews.eu proudly presents the top 20 most popular breaking eHealth news from 2018. Have a wonderful 2019 New(s) Year filled with health, happiness, and spectacular success!

Artificial Intelligence Advances Threate…

Advances in artificial intelligence have created new threats to the privacy of people's health data, a new University of California, Berkeley, study shows. Led by UC Berkeley engineer Anil Aswani...

Shaping Cloud Selects Highland Marketing…

Public sector cloud transformation specialists Shaping Cloud have chosen Highland Marketing as their marketing and PR partner to help them deliver their growth ambitions in the burgeoning health and care...

Rewired Pitchfest Launched to Showcase B…

Digital health innovators and start-ups are invited to pitch their disruptive ideas and prototypes to NHS digital leaders and leading healthtech investors at the new Digital Health Rewired event next...

Allscripts Joins with Microsoft to Explo…

Today, Allscripts (NASDAQ:MDRX), a global leader in health care information technology, announced a collaboration with Microsoft focused on implementing an innovative, integrated model for clinical research, aiming to enhance clinical...

Merck Welcomes Ten New Startups to its I…

Merck, a leading science and technology company, today announced the ten startups that will be joining the seventh intake of its Accelerator program at the Merck Innovation Center in Darmstadt...

First Smartphone App to Detect Opioid Ov…

At least 115 people die every day in the U.S. after overdosing on opioids, according to the National Institute on Drug Abuse. And in 2016, illegal injectable opioids became the...

Stanford Researchers Create a Wireless, …

A new device developed by Stanford University researchers could make it easier for doctors to monitor the success of blood vessel surgery. The sensor, detailed in a paper published Jan...

AI Approach Outperformed Human Experts i…

A research team led by investigators from the National Institutes of Health and Global Good has developed a computer algorithm that can analyze digital images of a woman's cervix and...

Digital Health Consultancy Invests in Cy…

Digital health consultancy Populo Consulting has secured Cyber Essentials Plus certification, in a move that demonstrates its commitment to operating to the same high standards as its NHS clients. Cyber Essentials...

Boehringer Ingelheim Initiates a Collabo…

Science 37, an industry leader in virtual clinical trials, and Boehringer Ingelheim announced a technology enterprise collaboration agreement that will support Boehringer Ingelheim in running remote clinical trials. Science 37...