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.
Biosketches: |
|
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. |
