There are lots of walking assist devices out there, I have described dozens. Your doctor should know of them and be testing them for the best ones to be implemented in their hospital. But I can guarantee that is not occurring. Your stroke hospital is a fucking failure, they aren't doing one damn thing about new research and applying it to help survivors.
http://www.udel.edu/udaily/2016/october/gait-training-stroke-survivors/
Thirty percent of stroke survivors, including some 300,000 Americans
every year, are left with compromised walking ability. As our population
ages, these numbers will undoubtedly grow, increasing the already high
demand for technology to support gait training.
“For most stroke survivors who are left with mobility impairments,
recovering the ability to walk is at or near the top of their wish list
for rehabilitation,” says Darcy Reisman, associate professor of
physical therapy at the University of Delaware. “It’s also critical to their being able to live at home again after a stroke.”
Wearable robots, which use electrically actuated motors to control
joint motion, are ideal candidates to automate gait training. However,
while great advances have been made in sensing, actuation, and
computation, the potential of wearable robots in gait
neuro-rehabilitation has not yet been fully realized.
Fabrizio Sergi, assistant professor of
biomedical engineering
at UD, says there are challenges in designing assistive forces for
wearable robots that are capable of teaching stable and energetically
efficient walking patterns while also accommodating variability from one
individual to another.
To address these challenges, Sergi is partnering with Reisman and Jill Higginson, associate professor of
mechanical and biomedical engineering at UD. The team was recently awarded a three-year grant from the National Science Foundation’s
National Robotics Initiative to develop an approach called GOALL (Goal-Oriented, subject Adaptive, robot-assisted Locomotor Learning).
GOALL combines biomechanical modeling with experiments using a
lower-extremity exoskeleton to determine the robotic assistance forces
needed to induce changes in gait parameters like step length and walking
speed.
“We are currently pursuing a new approach to robotic gait training
based on pulses of assistive forces,” says Sergi. “In this project, we
will determine when to apply pulses, how large those pulses should be,
and to which joints they should be applied.”
Higginson adds, “The robot will have the unique ability to adapt to a
patient’s needs as his or her walking improves, just as a therapist
would do.”
The interdisciplinary project combines Sergi’s expertise in robotic
systems design and control with Higginson’s knowledge on the use of
computational models to relate muscle impairments to gait deviations, as
well as Reisman’s clinical perspective on post-stroke rehabilitation.
The research methods used and the results obtained from the project will
benefit both the robotics and biomechanics communities.
Adam Buchwald
Carolyn Falconer
Avrielle Rykman
Mar Cortes
Alvaro Pascual-Leone
Hermano I. Krebs
Johanna Chang
Bruce T. Volpe
Dylan Edwards
Vincenzo Di Lazzaro
Fioravante Capone
Giovanni Di Pino
Giovanni Pellegrino
Lucia Florio1, 
Davide Simonetti