Advances in Mechanical Engineering,
Journal Year:
2024,
Volume and Issue:
16(12)
Published: Dec. 1, 2024
Intelligent
prosthetic
hands
typically
require
an
increase
in
the
number
of
acquisition
channels
to
improve
gesture
recognition
accuracy,
resulting
increased
device
complexity
and
cost.
However,
there
are
individual
differences
muscle
strength,
body
mass
index,
exercise
habits.
Electromyographic
currently
use
standardized
electromyographic
channel
configurations,
which
lack
adaptability
differences.
To
address
these
issues,
this
paper
proposes
electrode
configuration
adaptive
optimization
algorithm,
enhances
integrates
traditional
genetic
algorithms
simulated
annealing
algorithms,
implements
solutions
for
different
subjects.
Experimental
results
show
that
outcomes
differ
among
Compared
a
single
proposed
algorithm
can
adaptively
optimize
based
on
while
ensuring
effectiveness,
retaining
information
significantly
contributes
classification
recognition,
meeting
stable
their
motion
intentions
by
Movements
are
performed
by
motoneurons
transforming
synaptic
inputs
into
an
activation
signal
that
controls
muscle
force.
The
control
emerges
from
interactions
between
ionotropic
and
neuromodulatory
to
motoneurons.
Critically,
these
vary
across
motoneuron
pools
differ
muscles.
To
provide
the
most
comprehensive
framework
date
of
motor
unit
activity
during
isometric
contractions,
we
identified
firing
extensive
samples
units
in
tibialis
anterior
(129
±
44
per
participant;
n=8)
vastus
lateralis
(130
63
muscles
contractions
up
80%
maximal
From
this
unique
dataset,
rate
coding
each
was
characterised
as
relation
its
instantaneous
applied
force,
with
assumption
linear
increase
force
reflects
a
proportional
net
excitatory
received
motoneuron.
This
natural
logarithm
function
comprised
two
stages.
initial
stage
marked
steep
acceleration
rate,
which
greater
for
low-
than
medium-
high-threshold
units.
second
high-
low-threshold
Changes
were
largely
non-linear
ramp-up
ramp-down
phases
task,
but
significant
prolonged
only
evident
medium-threshold
Contrary
what
is
usually
assumed,
our
results
demonstrate
can
follow
large
variety
trends
pool.
neural
perspective,
findings
indicate
how
use
gain
transform
limited
bandwidths
intended
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 16, 2024
Abstract
Purpose
Recent
research
has
explored
region-specific
responses
within
the
biceps
femoris
long
head.
However,
evidence
on
regional
muscle
activation
remains
controversial,
primarily
because
information
derived
solely
from
surface
electromyograms
(sEMG)
amplitude
does
not
necessarily
provide
an
accurate
estimate
of
neural
drive
to
muscle.
To
address
this
limitation,
study
investigated
whether
there
are
proximodistal
differences
in
motor
unit
properties
head
during
isometric
hip
extension
and
knee
flexion
tasks.
Methods
Seventeen
resistance-trained
males
performed
tasks
at
20%
40%
maximal
voluntary
contraction.
High-density
sEMG
were
recorded
proximal
distal
regions
decomposed
into
individual
units.
Central
(mean
discharge
rate,
rate
variability,
recruitment
de-recruitment
thresholds)
action
potential
(amplitude
conduction
velocity)
analyzed.
Bipolar
was
also
calculated
for
each
region
simulate
traditional
measurements.
Results
amplitude,
velocity
significantly
greater
both
In
contrast,
no
observed
central
properties.
Conclusion
These
findings
suggest
that
increased
bipolar
is
driven
by
rather
than
modulation,
likely
influenced
intra-muscular
variations
mechanics
geometry.
This
emphasizes
limitations
relying
infer
control
strategies
Journal of Neural Engineering,
Journal Year:
2024,
Volume and Issue:
21(5), P. 056039 - 056039
Published: Oct. 1, 2024
Abstract
Objective.
Cortical
beta
(13–30
Hz)
and
gamma
(30–60
oscillations
are
prominent
in
the
motor
cortex
known
to
be
transmitted
muscles
despite
their
limited
direct
impact
on
force
modulation.
However,
we
currently
lack
fundamental
knowledge
about
saliency
of
these
at
spinal
level.
Here,
developed
an
experimental
approach
examine
modulations
high-frequency
inputs
motoneurons
under
different
states
while
maintaining
a
stable
force,
thus
constraining
behaviour.
Approach.
Specifically,
acquired
brain
muscle
activity
during
‘GO’/’NO-GO’
task.
In
this
experiment,
effector
for
task
(tibialis
anterior)
was
kept
tonically
active
trials,
participants
(
N
=
12)
reacted
sequences
auditory
stimuli
by
either
keeping
contraction
unaltered
(‘NO-GO’
trials),
or
quickly
performing
ballistic
(‘GO’
trials).
Motor
unit
(MU)
firing
extracted
from
high-density
surface
intramuscular
electromyographic
signals,
changes
its
spectral
contents
‘NO-GO’
trials
were
analysed.
Main
results.
We
observed
increase
low-gamma
(30–45
after
cue
MU
population
activity.
These
results
line
with
measured
electroencephalography.
increases
power
occur
without
relevant
alterations
as
behaviour
restricted
contraction.
Significance.
show
that
cortical
rhythms
also
present
when
subjects
cancel
prepared
action
holding
This
occurs
levels
produced
remain
largely
unaltered.
Our
suggest
recordings
informative
not
force-control
signals.
opens
up
new
potential
use
cases
peripheral
neural
interfaces.
Movements
are
performed
by
motoneurons
transforming
synaptic
inputs
into
an
activation
signal
that
controls
muscle
force.
The
control
emerges
from
interactions
between
ionotropic
and
neuromodulatory
to
motoneurons.
Critically,
these
vary
across
motoneuron
pools
differ
muscles.
To
provide
the
most
comprehensive
framework
date
of
motor
unit
activity
during
isometric
contractions,
we
identified
firing
extensive
samples
units
in
Tibialis
Anterior
(129±44
per
participant;
n=8)
Vastus
Lateralis
(130±63
muscles
contractions
up
80%
maximal
From
this
unique
dataset,
rate
coding
each
was
characterised
as
relation
its
instantaneous
applied
force,
with
assumption
linear
increase
force
reflects
a
proportional
net
excitatory
received
motoneuron.
This
natural
logarithm
function
comprised
two
stages.
initial
stage
marked
steep
acceleration
rate,
which
greater
for
low-
than
medium-
high-threshold
units.
second
high-
low-threshold
Changes
were
largely
non-linear
ramp-up
ramp-down
phases
task,
but
significant
prolonged
only
evident
medium-threshold
Contrary
what
is
usually
assumed,
our
results
demonstrate
can
follow
large
variety
trends
pool.
neural
perspective,
findings
indicate
how
use
gain
transform
limited
bandwidths
intended
Advances in Mechanical Engineering,
Journal Year:
2024,
Volume and Issue:
16(12)
Published: Dec. 1, 2024
Intelligent
prosthetic
hands
typically
require
an
increase
in
the
number
of
acquisition
channels
to
improve
gesture
recognition
accuracy,
resulting
increased
device
complexity
and
cost.
However,
there
are
individual
differences
muscle
strength,
body
mass
index,
exercise
habits.
Electromyographic
currently
use
standardized
electromyographic
channel
configurations,
which
lack
adaptability
differences.
To
address
these
issues,
this
paper
proposes
electrode
configuration
adaptive
optimization
algorithm,
enhances
integrates
traditional
genetic
algorithms
simulated
annealing
algorithms,
implements
solutions
for
different
subjects.
Experimental
results
show
that
outcomes
differ
among
Compared
a
single
proposed
algorithm
can
adaptively
optimize
based
on
while
ensuring
effectiveness,
retaining
information
significantly
contributes
classification
recognition,
meeting
stable
their
motion
intentions
by