Journal of Semiconductors,
Journal Year:
2025,
Volume and Issue:
46(1), P. 011603 - 011603
Published: Jan. 1, 2025
Abstract
Heart
rate
variability
(HRV)
that
can
reflect
the
dynamic
balance
between
sympathetic
nervous
and
parasympathetic
of
human
autonomic
system
(ANS)
has
attracted
considerable
attention.
However,
traditional
electrocardiogram
(ECG)
devices
for
HRV
analysis
are
bulky,
hard
wires
needed
to
attach
measuring
electrodes
chest,
resulting
in
poor
wearable
experience
during
long-term
measurement.
Compared
with
that,
electronics
enabling
continuously
cardiac
signals
monitoring
assessment
provide
a
desirable
promising
approach
helping
subjects
determine
sleeping
issues,
cardiovascular
diseases,
or
other
threats
physical
mental
well-being.
Until
now,
significant
progress
advances
have
been
achieved
applications
predicting
In
this
review,
latest
integration
as
well
practical
health
included.
The
commonly
used
methods
physiological
briefly
summarized.
Furthermore,
we
highlighted
research
on
concerning
diverse
such
stress
estimation,
drowsiness
detection,
etc.
Lastly,
current
limitations
integrated
concluded,
possible
solutions
direction
outlined.
Cyborg and Bionic Systems,
Journal Year:
2024,
Volume and Issue:
5
Published: Jan. 1, 2024
With
the
prevalence
of
cardiovascular
disease,
it
is
imperative
that
medical
monitoring
and
treatment
become
more
instantaneous
comfortable
for
patients.
Recently,
wearable
implantable
optoelectronic
devices
can
be
seamlessly
integrated
into
human
body
to
enable
physiological
in
an
imperceptible
spatiotemporally
unconstrained
manner,
opening
countless
possibilities
intelligent
healthcare
paradigm.
To
achieve
biointegrated
cardiac
healthcare,
researchers
have
focused
on
novel
strategies
construction
flexible/stretchable
systems.
Here,
we
overview
progress
flexible
stretchable
optoelectronics
devices.
Firstly,
device
design
addressed,
including
mechanical
design,
interface
adhesion,
encapsulation
strategies.
Next,
practical
applications
monitoring,
optogenetics,
nongenetic
stimulation
are
presented.
Finally,
outlook
systems
discussed.
Advanced Functional Materials,
Journal Year:
2024,
Volume and Issue:
unknown
Published: June 16, 2024
Abstract
The
measurement
accuracy
of
current
wearable
pulse
sensors
is
grandly
challenged
by
motion
artifacts
caused
body
biomechanical
activities.
In
this
study,
a
honeycomb‐structure‐inspired
sensor
reported
which
not
only
performs
ambulant
cardiovascular
monitoring
but
also
realizes
biometric
authentication
utilizing
the
acquired
individual
wave
profiles.
showcases
an
impressive
sensitivity
46.2
mV
Pa
−1
,
swift
response
time
21
ms,
and
exceptional
durability
(minimal
degradation
after
6000
cycles).
For
practical
application
in
clinical
settings,
able
to
record
signals
continuously
accurately
from
individuals
aged
between
27
57
years,
especially
including
29‐year‐old
pregnant
woman.
Leveraging
deep
learning
algorithms,
further
utilizes
profiles
for
authentication,
reaching
classification
up
99.4%.
marks
significant
advancement
field
authentication.
Journal of Semiconductors,
Journal Year:
2025,
Volume and Issue:
46(1), P. 011603 - 011603
Published: Jan. 1, 2025
Abstract
Heart
rate
variability
(HRV)
that
can
reflect
the
dynamic
balance
between
sympathetic
nervous
and
parasympathetic
of
human
autonomic
system
(ANS)
has
attracted
considerable
attention.
However,
traditional
electrocardiogram
(ECG)
devices
for
HRV
analysis
are
bulky,
hard
wires
needed
to
attach
measuring
electrodes
chest,
resulting
in
poor
wearable
experience
during
long-term
measurement.
Compared
with
that,
electronics
enabling
continuously
cardiac
signals
monitoring
assessment
provide
a
desirable
promising
approach
helping
subjects
determine
sleeping
issues,
cardiovascular
diseases,
or
other
threats
physical
mental
well-being.
Until
now,
significant
progress
advances
have
been
achieved
applications
predicting
In
this
review,
latest
integration
as
well
practical
health
included.
The
commonly
used
methods
physiological
briefly
summarized.
Furthermore,
we
highlighted
research
on
concerning
diverse
such
stress
estimation,
drowsiness
detection,
etc.
Lastly,
current
limitations
integrated
concluded,
possible
solutions
direction
outlined.
