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Battery-Free Neural Device Shows Promise for Improving Walking in Stroke Survivors
By Drooid · · How we work
New Device Demonstrates Walking Aid for Stroke Survivors
Researchers in Hong Kong and mainland China have created a lightweight, battery-free neural prosthesis designed to assist individuals who have difficulty walking, including stroke survivors, older adults and others with mobility impairments. The device was described in a peer-reviewed paper published in *Nature Communications* on September 2. By harvesting energy from the wearer’s own movements, the prosthesis delivers electrical stimulation to the ankle muscles, helping to flex the joint and restore a more natural gait without external sensors or batteries.
How the Device Generates and Applies Power
The prosthesis incorporates a mechanically coupled energy-harvesting system that converts the kinetic energy of each step into electrical power. This harvested energy is then used to trigger timed stimulation of the calf muscles, prompting ankle flexion precisely when needed during walking. Because the system powers itself after only a few steps, it can operate continuously without the need for recharging or bulky external equipment.
Trial Results Indicate Improved Mobility
In indoor treadmill trials and outdoor walking tests, stroke survivors using the device showed measurable gains in stride length and walking speed compared with baseline performance. The researchers reported that these improvements could translate into a reduced risk of falls for the target populations. The trials involved a small cohort of participants, and the reported enhancements were observed across both controlled laboratory conditions and real-world walking environments.
Potential Applications and Future Directions
Beyond clinical rehabilitation, the research team suggested the technology could be adapted for athletes seeking to augment training by providing supplemental muscle activation without hindering natural movement. Further development will focus on refining the energy-harvesting efficiency, expanding testing to larger and more diverse user groups, and exploring integration with other assistive-technology platforms.