Mapping South-South Development Academy Solutions

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Tuesday, 17 November 2020 14:44 Written by 
  • Location(s): Kazakhstan
  • Type(s): Solution
  • Theme(s): Health, Innovation, Technology
  • SDG(s): 1. No poverty, 3. Good health and wellbeing, 4. Quality Education, 9. Industry, Innovation and Infrastructure, 10. Reduced Inequalities
  • Types of ComSec Solutions: Solution

Problem: Exorbitant rehabilitation cost for Kazakhstan’s 50,000 annual stroke patients, many of whom are left partially or fully paralysed, facing social and economic exclusion.

Solution: Assistive and rehabilitative devices for the treatment of people with neurological disorders that allow patients to mentally manage artificial limbs in the form of an exoskeleton for the upper body.

Goals and objectives: To develop affordable devices and technologies to integrate vulnerable populations into the mainstream of education and daily life.

Implementation: ReLive - recognized as one of the world’s top 20 innovative solutions was created by Beibit Abdikenov, who tried to achieve accelerated and bespoke rehabilitation of stroke patients through ground breaking AI-powered solutions.

Mr. Abdikenov observed that rehabilitation of stroke patients requires a lot of resources in terms of time and money, excluding many people who can’t afford it in the long term. As a PhD student of Nazarbayev University Kazakhstan, he researched how AI software can read and interpret brain signals, which are used to control an exoskeleton of the upper limbs, speeding up recovery time, and ultimately improving the quality of life of stroke patients.

The ReLive team consists of renowned scientists, seasoned researchers and professionals in the fields of rehabilitation, mechatronics and artificial intelligence. Some of our successful projects: gait robot and upper limb rehabilitation robot Soft robotic glove for patients with musculoskeletal disorders.

The team has developed a product that consists of an upper-limb exoskeleton, electroencephalogram (EEG) device — for recording brain activity — and an algorithm to recognise brain signals. This enables the patient to briefly move their upper limbs using the exoskeleton, which is controlled by their thoughts alone using EEG signals that are registered by the company’s machine-learning algorithm.

All information created during the exercise is recorded using sensors and stored for analysis by a doctor. Robots for neuro-rehabilitation are designed to support the administration of physical exercises to the upper limbs or legs and ankles, and ReLive’s unique proposition lies in the algorithm installed in its exoskeleton system.

While up to 80% of stroke survivors subsequently experience difficulty using their arms, resulting in profound loss of independence as well as affecting health services that are essential to providing care and rehabilitation in the home, rehabilitation therapy can be aided by the technological support of robotic-based therapy, non-invasive brain stimulation and neural interfaces.

The ReLive package consists of an upper limb exoskeleton, EEG device, algorithm for recognising brain signals and a platform which records data from the patient’s body.

Recognizing that most rehabilitation centres are located in big cities, which limits access to rural dwellers, ReLive aims to improve accessibility to affordable rehabilitation to every city, town, and villages through technological innovation.

Achievements: ReLive participated in UNICEF’s Assistive Technology in Accelerating Learning and Participation of Children with Disabilities exhibition.

After prototyping and experimental testings, a soft robot glove was developed that can help people suffering from loss of hand motor control to carry out some of their daily duties. This solutions assists patients suffering from Charcot Marie-Tooth disease (CMT), one of the inherited motor and sensory neuropathies characterized by progressive loss of muscle tissue and sensory sensitivity, which affects about one in 2,500 people. The soft glove helps children with CMT to write alphanumeric letters with a comfortable grip. A machine learning-enabled app then assesses the writing and gives feedback on how the subject is being learned and improved.

Also, a robot for upper limb rehabilitation was designed and developed, which works according to the AAN (Assistt-as-ededed) control scheme for training robots. The robot, using AAN control schemes, builds scaffolding and assists in moving limbs only if the object cannot cope on its own.

ReLive will be providing their solution in hospitals in Kazakhstan from 2021 and are planning to cover 400-500 hospitals by 2024. Furthermore, the start-up aims to expand to the Indian and US markets in the future.


Contact details: Beibit Abdikenov

Address: Kazakhstan - Nur-Sultan, Nazarbayev University 53 Kabanbay Batyr St., 020000

Telephone: +7 701 400 7717

Email: This email address is being protected from spambots. You need JavaScript enabled to view it.  


Read 1316 times Last modified on Sunday, 13 December 2020 14:57
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