Top of page
Technology

Robotic device to assists people with spinal cord injury developed

robot hand

A Columbia Engineering team has invented a robotic device – the Trunk-Support Trainer (TruST) – that can be used to assist and train people with Spinal cord injuries to sit more stably by improving their trunk control, and thus gain an expanded active sitting workspace without falling over or using their hands to balance.

The study, published today in Spinal Cord Series and Cases, is the first to measure and define the sitting workspace of patients with SCI based on their active trunk control.

Spinal cord injuries (SCI) can cause devastating damage, including loss of mobility and sensation. Every year, there are an estimated 17,000 new SCIs in the US alone, a rate higher than in most regions of the world. In addition, the rate of SCIs in people 65-years or older is expected to rise in the US, from 13.0% in 2010 to 16.1% by 2020. Data also shows a high survival rate for these patients, who need to function in everyday life but find sitting to be a major challenge.

“We designed TruST for people with SCIs who are typically wheelchair users,” says Sunil Agrawal, the project’s PI and professor of mechanical engineering and of rehabilitation and regenerative medicine. “We found that TruST not only prevents patients from falling, but also maximizes trunk movements beyond patients’ postural control, or balance limits.”

TruST is a motorized-cable driven belt placed on the user’s torso to determine the postural control limits and sitting workspace area in people with SCI. It delivers forces on the torso when the user performs upper body movements beyond the postural stability limits while sitting.

You might also like

A womn in a wheelchair using a computer A womn in a wheelchair using a computer

How technology advances accessibility for people with disabilities

In today’s fast-evolving technological setting, the impact of technological progress…

Sign Language Sign Language

How AI can help map sign languages

Like spoken languages, sign languages evolve organically and do not…

kid infront of computer screen kid infront of computer screen

UNMC’s Munroe-Meyer Institute introduces autism diagnostic tool

The UNMC Munroe-Meyer Institute is piloting a new diagnostic tool…

Hussein Alawieh, a graduate student in Dr. José del R. Millán's lab, wears a cap packed with electrodes that is hooked up to a computer. The electrodes gather data by measuring electrical signals from the brain, and the decoder interprets that information and translates it into game action. Hussein Alawieh, a graduate student in Dr. José del R. Millán's lab, wears a cap packed with electrodes that is hooked up to a computer. The electrodes gather data by measuring electrical signals from the brain, and the decoder interprets that information and translates it into game action.

Universal brain-computer interface enables thought-controlled gaming

Imagine playing a racing game like Mario Kart, using only…