Advanced Analysis of Alpha EEG Patterns for Identifying Meditative States in Alpha Power Activation Yoga (APAY)
International Research Journal of Multidisciplinary Technovation,
Год журнала:
2025,
Номер
unknown, С. 148 - 164
Опубликована: Март 30, 2025
Meditation,
especially
Alpha-Power
Activation
Yoga
(APAY),
is
popular
today
for
well-being.
Apay
promotes
relaxation
and
focuses
using
yoga
attention.
However,
the
inspiring
settings
app
effectiveness
evaluation
made
challenging.
EEG
can
measure
attentive
brain
activity.
This
work
improves
Alfa
pattern
analysis
discovery
of
EFEM.
functions
are
classified
through
moral
machine
learning
time.
approach
reflects
neurological
attention
process.
Preliminary
research
found
that
alpha-EEG
patterns
change
with
training
stages
such
as
concentration,
absorption
relaxation.
Deep
concentration
reduces
hiking
increases
frontal
lateral
regions.
Constant
front
behind
alpha,
suggests
treatment
sensory
awareness.
shows
app-inspired
requires
more
study
to
understand
neurophysiology.
Strong
biomarker
will
track
skill
changes
its
mental
health
benefits.
Kaggle
Alpha
Wave
Dataset
detects
meditation
(closes
eyes)
non-meditation
(opening
when
relaxing
subject.
In
this
dataset,
decisions
identify
accurately
trees
in
decision,
innocent
bays
random
forest
phenomena.
These
findings
be
repeated
a
large
population
investigated
see
how
monkey
practice
affects
psychological
processes
over
Researchers
brainwave
emotional
welfare
connections
explain
these
results.
It
inspire
new
-based
treatments.
Doctors
provide
better
care
by
adding
techniques
parting
treatment.
A
full
disposition
goal
improve
awareness
body.
show
diet
exercise
affect
health.
Язык: Английский
Distinct Mechanisms of Multiple Alpha‐Band Activities in Frontal Regions Following an 8‐Week Medium‐ (Yoga) and High‐Intensity (Pamela) Exercise Intervention
CNS Neuroscience & Therapeutics,
Год журнала:
2025,
Номер
31(5)
Опубликована: Май 1, 2025
ABSTRACT
Aim
Long‐term
moderate‐
to
high‐intensity
exercise
has
been
shown
significantly
enhance
overall
health
such
as
the
improvement
of
physiological
indicators
and
brain
functions.
One
key
aspect
activity
is
alpha‐band
activity,
which
encompasses
various
sub‐oscillations
within
alpha
frequency
band.
However,
precise
functions
these
following
different
regimens
remain
unclear.
Methods
We
recruited
58
healthy
college
students
divided
them
into
four
groups:
Pamela
(high‐intensity
interval
training,
HIIT),
yoga
(moderate‐intensity
continuous
MICT),
their
corresponding
matched
control
group
(no
exercise)
for
each
intervention
group.
Participants
in
groups
underwent
training
up
8
weeks
(HIIT
or
MICT).
Resting‐state
EEG
data
were
collected
before
after
both
with
eyes
open
closed.
Results
Following
HIIT,
experienced
a
significant
reduction
body
fat
percentage
notable
increase
skeletal
muscle
mass.
In
terms
neural
main
difference
was
observed
mid‐frequency
range
frontoparietal
region
during
eyes‐open
resting
state.
Conversely,
8‐week
participants
demonstrated
duration
maintaining
balance
sleep
quality,
reflected
low‐
high‐frequency
band
activities
bilateral
frontotemporal
regions
eyes‐closed
Conclusion
This
study,
first
time,
differentiates
effects
long‐term
on
oscillation
states,
highlights
that
sub‐frequency
bands
would
represent
exercise‐related
Язык: Английский