Gait impairments hinder mobility for more than 760,000 children and adults living with cerebral palsy (CP) in
the US. Motor relearning is possible for these individual but typically requires numerous training sessions with
a team of physical therapists and assistants to restore coupling between upper- and lower-body segments while
assisting spastic uncoordinated limb movement to improve gait kinematics. While advancements in
rehabilitation robotics have the potential to relieve therapists of the need to stabilize the patient and augment
limb movement, existing devices excessively restrict the lower-limb to single-plane motion, impede natural
rotation/translation of the pelvis, and impose rather than accommodate volitional adaptation of movement.
Additional constraints of high cost and immobile configuration only further preclude translation of these devices
for in-home therapy, where more frequent training sessions necessary to enhance neural plasticity can be
attained. The proposed Phase I SBIR will target this health disparity by developing the first sensor-based mobile
Pelvic Assist Device (mPAD) that is uniquely capable of delivering precise, adaptable, multi-degree-of-freedom
pelvic control to promote natural intersegmental coupling, restore coordination of upper- and lower-limb
movement, and improve normal gait kinematics in children with CP. Because of its proximity to the center of
mass and critical role in coordinating upper- and lower-limb control, the pelvis provides an ideal access point
for physiotherapists to manually improve gait. We propose to greatly simplify this task by designing a portable
mPAD device that automates pelvic assistance, allows for full-body volitional control, and promotes relearning
through biofeedback sensory-motor integration and in-home use. Our team of specialists in sensor-based
systems for monitoring human movement is now partnering with clinical and engineering experts in
rehabilitation robotics to translate the existing laboratory-based Tethered Pelvic Assist Device (TPAD) from a
stationary system into a mobile device that utilizes body-worn sensors for mobility and programmable
biofeedback for training in or out of the clinic. In Phase I we will integrate electromyographic (EMG) and inertial
(IMU) biofeedback metrics with TPAD to demonstrate feasibility for gait training in children with spastic
diplegia. Our Phase I deliverable will include validated sensor-based gait metrics and a new biofeedback system
for motor learning that are integratable with TPAD and compliant with the target population. A fully portable
mPAD, similar in appearance to a pediatric rollator, will be developed in Phase II, which will provide
opportunities for enhanced motor relearning and improved mobility through therapist-guided gait retraining
protocols tailored for adaptable pelvic intervention and biofeedback to patients representing a wide variety of
gait disorders among CP populations. The impact of this innovation marks a first of its kind robotic rehabilitation
technology that meets the immediate and long-term health needs of underserved children with CP who stand
to benefit from translation of improved healthcare advancements beyond the clinic and into the community.