Next-Gen Soft Exoskeleton Boosts Mobility for Kids With Cerebral Palsy

Summary: Researchers have developed the MyoStep, a next-generation soft exoskeleton designed to help children with cerebral palsy walk more easily and safely. Combining artificial muscles, smart fabrics, and wireless sensor networks, the MyoStep offers a lightweight and adaptable alternative to bulky traditional exoskeletons.

It’s discreet, monitors safety in real time, and adjusts to a child’s growth, aiming to boost independence, physical activity, and self-esteem. This breakthrough highlights how technology can transform mobility and quality of life for children facing motor impairments.

Key Facts:

  • Smart Materials: MyoStep integrates artificial muscles, smart fabrics, and Bluetooth-connected sensors for real-time, adaptive support.
  • Child-Centric Design: The lightweight, adjustable exoskeleton is designed to grow with children and protect against overheating or skin irritation.
  • Mobility Innovation: By targeting ankle, knee, and hip coordination, MyoStep aims to improve walking efficiency and reduce energy expenditure.

Source: University of Houston

Just one look at the next-generation lightweight, soft exoskeleton for children with cerebral palsy reveals the powerful role technology can play in solving global challenges and improving lives.  

Built to help children walk, the MyoStep addresses motor impairments that severely restrict children’s participation in physical activities, self-care and academic pursuits, leading to developmental delays, social isolation and reduced self-esteem.

This shows a child in an exoskeleton.
The various sensors in the network communicate with each other using Bluetooth technology. Credit: Neuroscience News

It is lightweight, discreet, made of smart materials and wearable technology, and tailored to fit seamlessly into the lives of children and their families. 

The MyoStep soft exoskeleton is being introduced in Electron Devices Magazine by a team from the NSF UH Building Reliable Advances and Innovation in Neurotechnology (BRAIN) Center, an Industry–University Cooperative Research Center (IUCRC) and TIRR Memorial Hermann.  

“The MyoStep project represents a significant advancement in the field of pediatric mobility aids, particularly for children with cerebral palsy,” said Jose Luis Contreras-Vidal, director of the NSF BRAIN Center and Hugh Roy and Lillie Cranz Cullen Distinguished Professor of Electrical and Computer Engineering.   

“By integrating cutting edge technologies such as artificial muscles, smart fabrics, and a comprehensive sensor network, MyoStep offers a promising solution to the challenges faced by existing exoskeletons,” he said. 

Helping children take the next step 

Cerebral palsy is a common neurological disorder in children that affects motor skills, including the ability to walk, and it occurs in 1 to 4 out of every 1,000 births worldwide.  

“Although exoskeletons offer some degree of assistance and stability, they often prove impractical for regular daily use,” said Contreras-Vidal.

“These devices typically fail to accommodate a child’s growth and remain too heavy. By integrating cutting edge technologies such as artificial muscles, smart fabrics, and a comprehensive sensor network, MyoStep offers a promising solution to the challenges faced by existing exoskeletons.” 

The need for exoskeletons that promote healthy musculoskeletal development and can adjust as children grow prompted Contreras-Vidal to convene a cross-disciplinary team with clinical partner Gerard Francisco, MD, professor and The Wulfe Family Chair of Physical Medicine and Rehabilitation at UTHealth Houston and medical officer at TIRR Memorial Hermann.  

The team includes experts in biomechanics and orthopedic surgery (Christopher J. Arellano, University of Arizona), medical officer at TIRR Memorial Hermann and from the IUCRC BRAIN at the University of Houston: costume design and technology (Paige A. Willson), industrial design (Elham Morshedzadeh and Jeff Feng), mechanical engineering (Francisco C. Robles Hernandez, and Zheng Chen) and electrical engineering students (Shantanu Sarkar, Aime J. Aguilar-Herrera, and Lara Altaweel). 

“This research represents a groundbreaking step forward in how we think about mobility and independence for children with cerebral palsy,” said Francisco.  

Innovations in mobility 

The team tailored the MyoStep to be lightweight, discreet and tailored to fit seamlessly into the lives of children and their families. The wireless sensor network, embedded inside the smart and flexible fabrics, is the backbone of the suit, collecting and sending real-time data about the user’s movements so the device knows when to assist their arms or legs.  

It also includes safety features such as temperature monitoring and emergency shut-off mechanisms.  

All electronics and actuators are fully isolated from the user’s skin to prevent direct contact and reduce the risk of irritation or discomfort. Integrated temperature sensors continuously monitor the device’s surface temperature, automatically deactivating the system if it exceeds safe limits to protect against overheating or burns. 

The various sensors in the network communicate with each other using Bluetooth technology. 

“What makes the MyoStep project so compelling is that it’s not just about the technology: it’s about restoring confidence, function, and hope. This kind of innovation has the potential to dramatically improve quality of life, helping children move through the world with greater ease and dignity,” said Francisco. 

Next steps 

Coordination across the ankle, knee and hip was vital in producing the prototype. Continually improving how the ankle moves could make walking more efficient, allowing children to use less energy to walk. 

“The team is currently focused on enhancing ankle movement control using artificial muscles made from advanced smart materials, such as shape memory alloys, which contract with temperature changes and dielectric elastomers which respond to voltage,” said Contreras-Vidal.

“These actuators work in conjunction with a multimodal sensor network, including EMG sensors to monitor muscle activations, and inertial measurement units to detect gait phases and joint angles.” 

Muscles have been investigated for decades, but their actual behavior has not been successfully replicated with lightweight systems.  

“To make this possible, there is a need for interdisciplinary systems and disciplines to fully execute the physics of muscle gesticulations,” said Contreras-Vidal.  

Funding: This work has been supported in part by the IEEE Electron Device Society’s Humanitarian Fund. 

About this neurotech research news

Author: Laurie Fickman
Source: University of Houston
Contact: Laurie Fickman – University of Houston
Image: The image is credited to Neuroscience News

Original Research: The findings will appear in IEEE Electron Devices Magazine


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