NeuroMotion: Open-source platform with neuromechanical and deep network modules to generate surface EMG signals during voluntary movement
PLoS Computational Biology,
Год журнала:
2024,
Номер
20(7), С. e1012257 - e1012257
Опубликована: Июль 3, 2024
Neuromechanical
studies
investigate
how
the
nervous
system
interacts
with
musculoskeletal
(MSK)
to
generate
volitional
movements.
Such
have
been
supported
by
simulation
models
that
provide
insights
into
variables
cannot
be
measured
experimentally
and
allow
a
large
number
of
conditions
tested
before
experimental
analysis.
However,
current
electromyography
(EMG),
core
physiological
signal
in
neuromechanical
analyses,
remain
either
limited
accuracy
or
are
computationally
heavy
apply.
Here,
we
computational
platform
enable
future
work
overcome
these
limitations
presenting
NeuroMotion,
an
open-source
simulator
can
modularly
test
variety
approaches
full-spectrum
synthesis
EMG
signals
during
voluntary
We
demonstrate
NeuroMotion
using
three
sample
modules.
The
first
module
is
upper-limb
MSK
model
OpenSim
API
estimate
muscle
fibre
lengths
activations
second
BioMime,
deep
neural
network-based
generator
receives
nonstationary
parameter
inputs,
like
afore-estimated
lengths,
efficiently
outputs
motor
unit
action
potentials
(MUAPs).
third
pool
transforms
discharge
timings
units.
convolved
output
BioMime
simulate
movement.
show
MUAP
waveforms
change
different
levels
variations
then
synthetic
two-degree-of-freedom
hand
wrist
movements
used
augment
data
for
regressing
joint
angles.
Ridge
regressors
trained
on
dataset
were
directly
predict
angles
from
data.
In
this
way,
was
able
use-case
human
forearm
electrophysiology
hand,
wrist,
All
intermediate
available,
which
allows
user
study
cause-effect
relationships
complex
system,
fast
iterate
algorithms
collecting
data,
validate
non-measurable
parameters
experiments.
expect
modular
will
validation
generative
models,
complement
empower
research.
Язык: Английский
Hill-type models of skeletal muscle and neuromuscular actuators: a systematic review
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2022,
Номер
unknown
Опубликована: Окт. 18, 2022
Abstract
Backed
by
a
century
of
research
and
development,
Hill-type
models
skeletal
muscle,
often
including
muscle-tendon
complex
neuromechanical
interface,
are
widely
used
for
countless
applications.
Lacking
recent
comprehensive
reviews,
the
field
modelling
is,
however,
dense
hard-to-explore,
with
detrimental
consequences
on
innovation.
Here
we
present
first
systematic
review
muscle
modelling.
It
aims
to
clarify
literature
detailing
its
contents
critically
discussing
state-of-the-art
identifying
latest
advances,
current
gaps,
potential
future
directions
in
For
this
purpose,
fifty-seven
criteria-abiding
were
assessed
according
completeness
evaluation,
which
identified
modelled
properties,
considered
level
validation
reusability
models,
as
well
their
strategy
calibration.
is
concluded
that
most
(1)
do
not
significantly
advance
beyond
historical
gold
standards,
(2)
neglect
importance
parameter
identification,
(3)
lack
robust
validation,
(4)
reusable
other
studies.
Besides
providing
convenient
tool
supported
extensive
supplementary
material
navigating
literature,
results
highlight
need
global
recommendations
optimize
inter-study
consistency,
knowledge
transfer,
model
reusability.
Язык: Английский
Comparison Between InterCriteria and Correlation Analyses over sEMG Data from Arm Movements in the Horizontal Plane
Applied Sciences,
Год журнала:
2024,
Номер
14(21), С. 9864 - 9864
Опубликована: Окт. 28, 2024
InterCriteria
analysis
(ICrA)
and
two
kinds
of
correlation
analyses,
Pearson
(PCA)
Spearman
(SCA),
were
applied
to
surface
electromyography
(sEMG)
signals
obtained
from
human
arm
movements
in
the
horizontal
plane.
Ten
healthy
participants
performed
ten
movements,
eight
which
cyclic.
Each
cyclic
movement
(CM)
consisted
flexion
extension
phases
with
equal
duration
(10
s,
6
2
1
s)
5
s
rest
poses
between
them.
The
CMs
without
an
added
load
0.5
kg
on
wrists
participants.
sEMG
six
different
muscles
or
separate
muscle
heads
(m.
deltoideus
pars
clavicularis,
m.
spinata,
brachialis,
anconeus,
biceps
brachii,
triceps
brachii
long
head)
recorded
used
compare
results
ICrA,
PCA,
SCA.
All
three
methods
found
identical
consonance
pairs
for
CM
phases.
Additionally,
PCA
detected
more
In
this
investigation,
SCA
proven
be
reliable
tools
when
separately
combination
data.
These
are
appropriate
researching
plane
experimental
protocol
revision.
Язык: Английский
Mental Tasks Induce Common Modulations of Oscillations in Cortex and Spinal Cord
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 8, 2024
ABSTRACT
We
investigated
whether
power
modulations
of
cortical
oscillations
induced
by
mental
tasks
are
paralleled
the
same
in
spinal
motor
neurons.
recruited
15
participants
and
recorded
high-density
electromyography
signals
(HD-EMG)
from
tibialis
anterior
muscle,
as
well
electroencephalography
(EEG)
signals.
The
cumulative
spike
train
(CST)
was
computed
activity
neurons
decoded
HD-EMG
performed
sustained
dorsiflexion
concurrent
with
foot
imagery,
hand
arithmetic,
or
no
specific
task.
found
significant
correlations
between
CST
EEG
across
trials
irrespective
task
at
intra-muscular
coherence
peak
(
τ
trial
=
0.08
±
0.10,
0.33
0.19,
respectively;
mean
std.
dev.).
beta
low-gamma
bands
could
provide
a
novel
control
signal
for
neural
interface
applications,
changes
these
not
translated
into
actual
force
changes.
To
evaluate
potential
signal,
we
classified
bandpower
linear
classifier
obtained
classification
accuracies
slightly
but
significantly
above
chance
level
(30%
5%;
25%).
These
results
show
first
time
that
can
modulate
concurrently.
This
supports
notion
movement-unrelated
leak
down
cortex
to
level.
further
be
CST,
although
research
is
necessary
boost
performance
an
adequate
applications.
Significance
Statement
Spike
trains
have
frequency
components
below
10
Hz
muscle
also
contain
do
directly
produce
changes,
currently
lack
clear
functional
interpretation.
Our
findings
indicate
can,
least
part,
remnants
force-unrelated
propagate
propagation
enables
decoding
evoked
oscillation
Язык: Английский