In a First, Patient Controls Two Prosthetic Arms with His Thoughts

Patient Describes the Sensation of "Feeling" Prosthetic Arms Credit: Johns Hopkins APL

Patient Controls Two Prosthetic Arms with His Thoughts Credit: Johns Hopkins APL Buz Chmielewski has a C6 spinal cord injury and is paralyzed from the shoulders down, with some residual function in his shoulders and wrists. In a recent study, he has been able to control the APL-developed Modular Prosthetic Limb with his thoughts. Credit: Johns Hopkins APL Buz Chmielewski (center) pictured with a few members of the APL research team (from left, Francesco Tenore, Matt Fifer and Margaret Thompson). Credit: Johns Hopkins APL Matt Fifer adjusts the electrodes attached to Buz Chmielewski’s head to prepare for a round of testing. Credit: Johns Hopkins APL

Researchers from the Johns Hopkins University’s Applied Physics Laboratory (APL) and School of Medicine (SOM) have, for the first time, demonstrated simultaneous control of two of the world’s most advanced prosthetic limbs through a brain-machine interface. The team is also developing strategies for providing sensory feedback for both hands at the same time using neural stimulation.

“We are trying to enable a person with quadriplegia to use a direct neural interface to simultaneously control two assistive devices and, at the same time, feel touch sensation when the devices make contact with objects in the environment,” explained Dr. Brock Wester, a biomedical engineer and APL’s principal investigator for the study.

“It has significant implications for restoring capabilities to patients with high spinal cord injuries and neuromuscular diseases” he continued. “For everything we envision people needing or wanting to do to become independent — tie their shoes, catch and throw a ball, squeeze toothpaste onto a toothbrush — they really need two hands working together.”

These breakthroughs are the latest developments in Revolutionizing Prosthetics (RP), a program launched by the Defense Advanced Research Projects Agency in 2006 to rapidly improve upper-extremity prosthetic technologies and provide new means for users to operate them.

The original vision of the RP program was to create a neurally integrated prosthetic upper limb with human-like capabilities; this resulted in the Modular Prosthetic Limb (MPL). “As we integrated new capabilities into the MPL, such as fingertip sensors for force, acceleration, slip and pressure, we started to ask ourselves, ‘what is the best way to feed this information back to our study participants so that they would be able to interact with the environment just as able-bodied people do?’” said Dr. Francesco Tenore, APL’s project manager for this effort.

In addition to developing the MPL, program researchers have been exploring the use of neural signals to enable “real time” control of prosthetic and intelligent systems. The program’s initial neural control studies with participants at the University of Pittsburgh and the California Institute of Technology/Rancho Los Amigos focused on the control of a single limb, which three participants were able to do after months of training. This success highlighted the possibilities of neuroprosthetics and laid the groundwork for future studies.

APL is working with two research groups at the Johns Hopkins Hospital: Dr. Pablo Celnik’s team in Physical Medicine and Rehabilitation and Dr. Nathan Crone’s team in the Department of Neurology. Read more about this collaboration.

In January, in a first-of-its-kind surgery, Dr. Stan Anderson’s team at Johns Hopkins implanted intracortical microelectrode array sensors on both sides of a patient’s brain, in the regions that control movement and touch sensation. As part of the surgery, APL researchers and Crone’s team pioneered a method to identify the best locations for placing the electrodes using real-time mapping of brain activity during the surgery.

The research team has completed several assessments of the neural signals acquired from the motor and sensory areas of the brain, and they’ve studied what the patient feels when the hand areas of his brain are stimulated. The results from these experiments highlight the potential for patients to sense more information about the prosthetic limb or the environment with which they are interacting.

With these tests and the successful surgery, the team has already tallied several “firsts” in the field of brain-machine interfaces.

“For the first time, our team has been able to show a person’s ability to ‘feel’ brain stimulation delivered to both sides of the brain at the same time. We showed how stimulation of left and right finger areas in the brain could be successfully controlled by physical touch to the MPL fingers,” explained APL’s Dr. Matthew Fifer, the technical lead on the project. This study benefits from the world’s first human bilateral implant for recoding and stimulation, including 96 electrodes that can be used to deliver very focused neural stimulation to the finger areas of the brain.

“Ultimately, because this is the world’s first bilateral implant, we want to be able to execute motions that require both arms and allow the user to perceive interactions with the environment as though they were coming from his own hands,” Tenore said. “Our team will continue training with our participant to develop motor and sensory capabilities, as well as to explore the potential for control of other devices that could be used to expand a user’s personal or professional capabilities.”

“These developments are critical components necessary for future brain-machine interface technologies — relevant to spinal cord injury, stroke, Lou Gehrig's disease, among others — all aiming to restore human functions,” said Dr. Adam Cohen, Health Technologies program manager in APL’s National Health Mission Area.

Media contact: Paulette Campbell, 240-228-6792, Paulette.Campbell@jhuapl.edu

The Applied Physics Laboratory, a not-for-profit division of The Johns Hopkins University, meets critical national challenges through the innovative application of science and technology. For more information, visit www.jhuapl.edu.