This tour will be held
at the Motion & Gait Analysis Lab in Menlo Park. The class will convene in
the lobby at 4:45pm. Due to space limitations, it is open to enrolled students
only.
Abstract: Clinical gait
analysis is now the standard-of-care for diagnosis and treatment of walking
disorders in children with cerebral palsy and other neuromuscular conditions.
Gait analysis includes 3D motion capture of kinematics (joint motion) and
kinetics (joint forces), as well as electromyography (EMG) for muscle activity
during gait. New computer simulations are used to clarify the musculoskeletal
components of gait abnormalities. The kinematic, kinetic, and EMG data are
interpreted along with energy cost of walking and with postural balance
measures to determine risk of falls and to avoid unpredictable surgical
outcomes. The gait analysis is reviewed to determine an optimal treatment plan
by a multidisciplinary team of clinicians that includes physical therapists,
orthopaedic surgeons, physiologists, engineers, and orthotists. This lecture
will introduce students to clinical gait analysis and to a new, developing
assistive technology that utilizes functional electrical stimulation (FES) for
artificial walking: FES-assisted gait for children with cerebral
palsy. |
|
Dr. Jessica Rose's
research focuses on the neuromuscular and musculoskeletal mechanisms underlying
gait abnormalities in children with cerebral palsy (CP) and other pediatric
orthopaedic conditions. As director of the Motion & Gait Analysis Lab at
Lucile Packard Children's Hospital, her research has focused on the energy cost
of walking, muscle pathology, selective motor control, postural balance, and
motor-unit firing in CP.
Orthopedic
Surgery Profile |
Katelyn Cahill-Rowley is
investigating methods of early motor impairment identification in children born
preterm with very low birth weights. Specifically, she is using
temporal-spatial gait data and MEMs sensors to characterize upper- and
lower-extremity function, respectively, in 18-month-old toddlers. She is
correlating these functional assessments with DTI brain data and the current
gold-standard of motor development, the Bayley Scales of Infant Development, to
determine their predictive potential. |
