First step toward a better prosthetic leg? Trip people over and over

Andrés Martínez strode briskly on the treadmill, staring straight ahead and counting backwards by seven from 898, a trick to keep his brain from anticipating the literal stumbling block heading his way: a compact 35 pounds of steel specifically designed to make him fall.

Special goggles kept him from looking down. Arrows on an eye-level screen kept him from walking off the sides. A harness attached to a ceiling beam kept him safe. Sure enough, when a computer program released the steel block, it glided onto the treadmill, and the Vanderbilt University Ph.D. student struggled to stay on his feet.

That automatic stumble response, so natural for most people, is virtually impossible for those who use prosthetic legs, simply because even state-of-the-art prosthetics cannot adapt to stumbling. Patients with above-the-knee amputations are far more likely to fall than typical counterparts in their age group.

The first step a Vanderbilt team took in addressing that challenge in lower-body prosthetics was coming to understand the way people with two legs catch themselves, accomplished by covering test subjects with motion-capturing sensors. It also required tripping them over and over—190 times, to be exact—for a study published this month in the Journal of NeuroEngineering and Rehabilitation. But because humans are so mentally geared to resist stumbling, a team of Vanderbilt mechanical engineers first had to design the stumbling device described above.

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“Not only did our treadmill device have to trip them, it had to trip them at specific points in their gait,” said Shane King, a Ph.D. student and lead author on the paper. “People stumble differently depending on when their foot hits a barrier. The device also had to overcome their fear of falling, so they couldn’t see or feel when the block was coming.”

In addition to protecting test subjects, the harness included a scale. If a subject put 50 percent or more of their weight on it during a stumble, that counted as a fall. The team’s design for the machine and outcomes of their tests are available for other labs to use in the open-source journal.

Michael Goldfarb, H. Fort Flowers Professor of Mechanical Engineering and the principal investigator on the study, said designing the stumble device and measuring outcomes was only the first of three parts.

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