Advanced Materials Technologies,
Journal Year:
2023,
Volume and Issue:
8(16)
Published: July 20, 2023
Abstract
Traditional
approaches
for
monitoring
human
gait
have
severe
spatial
and
temporal
restrictions
with
complex
analysis
methods
high
cost,
which
are
powerless
to
promote
the
development
of
intelligent
life
involving
fitness,
sport
training,
healthcare.
Herein,
a
portable
smart
insole
system
resolution
simple
manufacturing
process
measure
plantar
pressure
distribution
anytime,
anywhere
is
proposed.
An
insole‐shaped
array
104
piezoresistive
sensors
highly
robust
characteristics
assembled,
exhibiting
good
pressure‐sensing
uniformity.
The
not
only
detects
subtle
displacement
center
gravity
body,
but
also
exhibits
real‐time,
high‐resolution
thermodynamic
diagram
during
activities.
More
importantly,
function
motion
intelligence
identification
can
be
realized
by
regionalizing
digitizing
whole
distribution,
achieving
an
average
recognition
accuracy
83.32%
among
six
predefined
motions.
These
results
imply
that
carbon
fiber‐based
provide
effective
approach
convenient
identification,
has
great
potential
in
application
future
life.
Electronics,
Journal Year:
2023,
Volume and Issue:
12(3), P. 623 - 623
Published: Jan. 26, 2023
Physical
and
cognitive
rehabilitation
is
deemed
crucial
to
attenuate
symptoms
improve
the
quality
of
life
in
people
with
neurodegenerative
disorders,
such
as
Parkinson’s
Disease.
Among
strategies,
a
novel
popular
approach
relies
on
exergaming:
patient
performs
motor
or
task
within
an
interactive
videogame
virtual
environment.
These
strategies
may
widely
benefit
from
being
tailored
patient’s
needs
engagement
patterns.
In
this
pilot
study,
we
investigated
ability
low-cost
BCI
based
single-channel
EEG
measure
user’s
during
exergame.
As
first
step,
healthy
subjects
were
recruited
assess
system’s
capability
distinguish
between
(1)
rest
gaming
conditions
(2)
at
different
complexity
levels,
through
Machine
Learning
supervised
models.
Both
eye-blink
features
employed.
The
results
indicate
exergame
stimulate
classification
models
resting
stage
game-play
(accuracy
>
95%).
Finally,
clusters
subject
responses
throughout
game
identified,
which
could
help
define
trends.
This
result
starting
point
developing
effectively
subject-tailored
exergaming
system.
Parkinsonism & Related Disorders,
Journal Year:
2023,
Volume and Issue:
109, P. 105331 - 105331
Published: Feb. 27, 2023
IntroductionAxial
disability,
including
gait
disturbances,
is
common
in
Parkinson's
disease
(PD),
especially
advanced
stages.
Epidural
spinal
cord
stimulation
(SCS)
has
been
investigated
as
a
treatment
option
for
disorders
PD.
Here,
we
review
the
literature
on
SCS
PD
and
evaluate
its
efficacy,
optimal
parameters,
electrode
locations,
possible
effects
of
concurrent
deep
brain
stimulation,
working
mechanisms
gait.MethodsDatabases
were
searched
human
studies
involving
patients
who
received
an
epidural
intervention
had
at
least
one
gait-related
outcome
measure.
The
included
reports
reviewed
with
respect
to
design
outcomes.
Additionally,
action
underlying
reviewed.ResultsOut
433
records
identified,
25
unique
total
103
participants
included.
Most
only
few
participants.
most
pain
complaints,
mostly
low
back
pain,
improved
almost
all
cases,
regardless
parameters
or
location.
Higher-frequency
(>200
Hz)
seemed
be
more
effective
pain-free
patients,
but
results
inconsistent.
Heterogeneity
measures
follow-up
times
hindered
comparability.ConclusionsSCS
may
improve
neuropathic
efficacy
remains
uncertain
due
lack
thorough
double-blind
studies.
Apart
from
well-powered,
controlled,
study
design,
future
could
further
explore
initial
hints
that
higher-frequency
might
best
approach
outcomes
patients.
Neuropsychiatric Disease and Treatment,
Journal Year:
2021,
Volume and Issue:
Volume 17, P. 2965 - 2985
Published: Sept. 1, 2021
Abstract:
Gait
dysfunction
is
a
key
defining
feature
of
Parkinson's
disease
(PD),
and
associated
with
symptoms
freezing
an
increased
risk
falls.
In
this
narrative
review,
we
cover
the
putative
mechanisms
gait
in
PD,
assessment
abnormalities,
management
caused
by
inherent
difficulty
walking.
Our
understanding
causes
problems
PD
has
progressed
recent
times,
moving
from
neurocognitive
theory
to
correlates
affected
neuronal
pathways.
particular,
can
be
shown
correspond
abnormalities
responses
dual-task
paradigms
cholinergic
signaling.
Great
progress
been
made
sophistication
precision
assessment;
however,
it
firmly
remained
research
domain.
There
significant
momentum
behind
wearable
technologies
that
used
patients
their
own
environment,
acting
as
digital
biomarkers
not
only
reflect
progression
but
also
independently
discriminate
non-PD
individuals.
The
treatment
historically
relied
on
physical
therapies
training
combined
view
mitigating
impact
such
consequences
Pharmacological
are
mainstay
have
tended
address
like
bradykinesia;
optimization
dopaminergic
likely
positive
effect
quality
gait.
Other
targets
assessed
goal
improving
gait,
which
medications
improve
signaling
appear
most
promising.
Neuromodulation
techniques
increasingly
form
deep-brain
stimulation;
standard
targets,
globus
pallidus
interna,
modest
Considerable
benefit
seen
through
targeting
pedunculopontine
nucleus,
dual-target
approach
may
warranted.
Stimulation
spinal
cord
brain
direct
or
magnetic
approaches
assessed,
requires
further
evidence.
Keywords:
falls,
assessment,
neurodegeneration,
neuropathology
Advanced Materials Technologies,
Journal Year:
2023,
Volume and Issue:
8(16)
Published: July 20, 2023
Abstract
Traditional
approaches
for
monitoring
human
gait
have
severe
spatial
and
temporal
restrictions
with
complex
analysis
methods
high
cost,
which
are
powerless
to
promote
the
development
of
intelligent
life
involving
fitness,
sport
training,
healthcare.
Herein,
a
portable
smart
insole
system
resolution
simple
manufacturing
process
measure
plantar
pressure
distribution
anytime,
anywhere
is
proposed.
An
insole‐shaped
array
104
piezoresistive
sensors
highly
robust
characteristics
assembled,
exhibiting
good
pressure‐sensing
uniformity.
The
not
only
detects
subtle
displacement
center
gravity
body,
but
also
exhibits
real‐time,
high‐resolution
thermodynamic
diagram
during
activities.
More
importantly,
function
motion
intelligence
identification
can
be
realized
by
regionalizing
digitizing
whole
distribution,
achieving
an
average
recognition
accuracy
83.32%
among
six
predefined
motions.
These
results
imply
that
carbon
fiber‐based
provide
effective
approach
convenient
identification,
has
great
potential
in
application
future
life.