Cruise Bogle, a participant in the clinical trial at the Shepherd Center, moves his tongue to direct the Tongue Drive system to move the powered wheelchair around the obstacle course.
(Georgia Tech Photo: Gary Meek)

An assistive technology that enables people to maneuver a powered wheelchair or control a mouse cursor using simple tongue movements can be operated by those with high-level spinal cord injuries, according to the results of a recently completed clinical trial noted in a statement from the Georgia Institute of Technology, Atlanta.

Maysam Ghovanloo, PhD, an assistant professor in the School of Electrical and Computer Engineering at the Institute, said in the statement that the trial validated that the Tongue Drive system is intuitive and quite simple for individuals with high-level spinal cord injuries to use. He further noted that trial participants were able to easily remember and correctly issue tongue commands to play computer games and drive a powered wheelchair around an obstacle course with very little prior training.

The researchers reported the results of the first five clinical trial subjects to use the Tongue Drive system at the recent annual conference of the Rehabilitation Engineering and Assistive Technology Society of North America (RESNA). The trial was conducted at the Shepherd Center, an Atlanta-based catastrophic care hospital. The research was funded by the National Science Foundation and the Christopher and Dana Reeve Foundation.

The clinical trial tested the ability of these individuals with tetraplegia, as a result of high-level spinal cord injuries (cervical vertebrae C3-C5), to perform tasks related to computer access and wheelchair navigation—using only their tongue movements, according to the statement.

 

Trial participant Cruise Bogle trains the computer to understand how he will move his tongue to indicate the different commands necessary to operate the powered wheelchair — forward, backward, right, left and stop.
(Georgia Tech Photo: Gary Meek)

At the beginning of each trial, Ghovanloo and graduate students Xueliang Huo and Chih-wen Cheng attached a small magnet—the size of a grain of rice—to the participant’s tongue with tissue adhesive. Movement of this magnetic tracer was detected by an array of magnetic field sensors mounted on wireless headphones worn by the subject. The sensor output signals were wirelessly transmitted to a portable computer, which was carried on the wheelchair.

The signals were processed to determine the relative motion of the magnet with respect to the array of sensors in real-time. This information was then used to control the movements of the cursor on a computer screen or to substitute for the joystick function in a powered wheelchair. Details on use of the Tongue Drive for wheeled mobility were published in the June 2009 issue of the journal IEEE Transactions on Biomedical Engineering.

Ghovanloo chose the tongue to operate the system because unlike hands and feet, which are controlled by the brain through the spinal cord, the tongue is directly connected to the brain by a cranial nerve that generally escapes damage in severe spinal cord injuries or neuromuscular diseases, says the statement.

Before using the Tongue Drive system, the subjects trained the computer to understand how they would like to move their tongues to indicate different commands. A unique set of specific tongue movements was tailored for each individual based on the user’s abilities, oral anatomy, and personal preferences. For the first computer test, the user issued commands to move the computer mouse left and right. Using these commands, each subject played a computer game that required moving a paddle horizontally to prevent a ball from hitting the bottom of the screen.

After adding two more commands to their repertoire—up and down—the subjects were asked to move the mouse cursor through an on-screen maze as quickly and accurately as possible.

Then the researchers added two more commands—single and double mouse clicks—to provide the subject with complete mouse functionality. When a randomly selected symbol representing one of the six commands appeared on the computer screen, the subject was instructed to issue that command within a specified time period. Each subject completed 40 trials for each time period.

After the computer sessions, the subjects were ready for the wheelchair driving exercise. Using forward, backward, right, left, and stop/neutral tongue commands, the subjects maneuvered a powered wheelchair through an obstacle course.

The obstacle course contained 10 turns and was longer than a professional basketball court. Throughout the course, the users had to perform navigation tasks such as making a U-turn, backing up, and fine-tuning the direction of the wheelchair in a limited space. Subjects were asked to navigate through the course as fast as they could, while avoiding collisions.

Each subject operated the powered wheelchair using two different control strategies: discrete mode, which was designed for novice users, and continuous mode for more experienced users. In discrete mode, if the user issued the command to move forward and then wanted to turn right, the user would have to stop the wheelchair before issuing the command to turn right. The stop command was selected automatically when the tongue returned to its resting position, bringing the wheelchair to a standstill.

 

Cruise Bogle, a participant in the clinical trial at the Shepherd Center, moves his tongue to direct the Tongue Drive system to move the powered wheelchair around the obstacle course.
(Georgia Tech Photo: Gary Meek)

Each subject completed the course at least twice using each strategy while the researchers recorded the navigation time and number of collisions. Using discrete control, the average speed for the five subjects was 5.2 meters per minute and the average number of collisions was 1.8. Using continuous control, the average speed was 7.7 meters per minute and the average number of collisions was 2.5.

While this initial performance trial only required six tongue commands, the Tongue Drive system can potentially capture a large number of tongue movements, each of which can represent a different user command.

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[Source: Georgia Tech]