Certified Startup
ASTREK INNOVATIONS PRIVATE LIMITED
Sector:
Healthcare
Business Model:
B2B
Industry:
Assistive Tech
Technology:
Robotics AI / ML Manufacturing
About
Incorporation Date
Sep 27, 2018
Incorporation Type
Private Limited Company
Registered State
Kerala
Registered District
Ernakulam
Registered Address
ELP-V/290B Yamuna, Elayavoor, P O Varam, KANNUR Kannur KL 670594 IN
Office State
Kerala
Office District
Ernakulam
Office Address
Astrek Innovations, Maker Village, Kinfra Hi-Tech Park, HMT Colony PO, Kalamassery, Ernakulam, Kerala, 683503
Team
Jithin Vidya Ajith
Co-founder
Robin Kanattu Thomas
Co-founder
Unik Exo: Lower Limb Wearable Robotic Suit
Our exoskeleton would be a tool for faster rehabilitation programs, provide a higher quality of training, and can be used for long periods while reducing the fatigue factor. The device could also be used by disabled people in home/office environments.
Sector:
Healthcare
Industry:
Assistive Tech
Business Models:
B2B
Technology:
Robotics AI / ML Manufacturing

Our product is a lower limb exoskeleton developed to aid patients with walking disabilities in their therapies and to perform simple utilitarian tasks. The device incorporates sensors like accelerometers, gyroscopes, pressure sensors and uses the data to create a motion analysis graph to recognize walking patterns. The device is intended to provide paraplegics with a comfortable walk on indoor spaces to help them access toilets and other utilities in a home/office environment. This reduces the terrain variations and the complexities associated with it, bringing down the cost of the product.

The product would come with add-on devices and customization to fit the needs of individual users. The devices would add stability and comfort to the patient. A rolling cradle add-on would be provided to reduce stress on the shoulders by eliminating the use of crutches. This would also eliminate the requirement of any special infrastructure requirements in rehab centres. The data from the sensors and motion analysis systems would be fed to a cloud platform for easy diagnosis, patient tracking and personalization.

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