ACS Nano,
Journal Year:
2021,
Volume and Issue:
15(12), P. 19054 - 19069
Published: July 26, 2021
The
increasing
population
of
the
elderly
and
motion-impaired
people
brings
a
huge
challenge
to
our
social
system.
However,
walking
stick
as
their
essential
tool
has
rarely
been
investigated
into
its
potential
capabilities
beyond
basic
physical
support,
such
activity
monitoring,
tracing,
accident
alert.
Here,
we
report
powered
by
ultra-low-frequency
human
motion
equipped
with
deep-learning-enabled
advanced
sensing
features
provide
healthcare-monitoring
platform
for
users.
A
linear-to-rotary
structure
is
designed
achieve
highly
efficient
energy
harvesting
from
linear
ultralow
frequency.
Besides,
two
kinds
self-powered
triboelectric
sensors
are
proposed
integrated
extract
stick.
Augmented
functionalities
high
accuracies
have
enabled
deep-learning-based
data
analysis,
including
identity
recognition,
disability
evaluation,
status
distinguishing.
Furthermore,
self-sustainable
Internet
Things
(IoT)
system
global
positioning
tracing
environmental
temperature
humidity
amenity
functions
obtained.
Combined
aforementioned
functionalities,
this
demonstrated
in
various
usage
scenarios
caregiver
real-time
well-being
monitoring.
caregiving
shows
being
an
intelligent
aid
users
help
them
live
life
adequate
autonomy
safety.
ACS Nano,
Journal Year:
2021,
Volume and Issue:
15(3), P. 3557 - 3567
Published: Feb. 23, 2021
Due
to
the
limited
ability
of
conventional
methods
and
perspective
human
diagnostics,
patients
are
often
diagnosed
incorrectly
or
at
a
late
stage
as
their
disease
condition
progresses.
They
may
then
undergo
unnecessary
treatments
due
inaccurate
diagnoses.
In
this
Perspective,
we
offer
brief
overview
on
integration
nanotechnology-based
medical
sensors
artificial
intelligence
(AI)
for
advanced
clinical
decision
support
systems
help
decision-makers
healthcare
improve
how
they
approach
information,
insights,
surrounding
contexts,
well
promote
uptake
personalized
medicine
an
individualized
basis.
Relying
these
milestones,
wearable
sensing
devices
could
enable
interactive
evolving
decisions
that
be
used
evidence-based
analysis
recommendations
monitoring
progress
treatment.
We
present
discuss
ongoing
challenges
future
opportunities
associated
with
AI-enabled
in
decisions.
Annual Review of Chemical and Biomolecular Engineering,
Journal Year:
2021,
Volume and Issue:
12(1), P. 359 - 391
Published: June 7, 2021
High-performance
wearable
and
implantable
devices
capable
of
recording
physiological
signals
delivering
appropriate
therapeutics
in
real
time
are
playing
a
pivotal
role
revolutionizing
personalized
healthcare.
However,
the
mechanical
biochemical
mismatches
between
rigid,
inorganic
soft,
organic
human
tissues
cause
significant
trouble,
including
skin
irritation,
tissue
damage,
compromised
signal-to-noise
ratios,
limited
service
time.
As
result,
profuse
research
efforts
have
been
devoted
to
overcoming
these
issues
by
using
flexible
stretchable
device
designs
soft
materials.
Here,
we
summarize
recent
representative
technological
advances
for
bioelectronics,
conformable
designs,
various
types
electronic
materials,
surface
coating
treatment
methods.
We
also
highlight
applications
strategies
emerging
devices.
conclude
with
some
current
limitations
offer
future
prospects
this
booming
field.
ACS Nano,
Journal Year:
2021,
Volume and Issue:
15(12), P. 18822 - 18847
Published: Nov. 29, 2021
The
noble
metal
nanoparticle
has
been
widely
utilized
as
a
plasmonic
unit
to
enhance
biosensors,
by
leveraging
its
electric
and/or
optical
properties.
Integrated
with
the
"flexible"
feature,
it
further
enables
opportunities
in
developing
healthcare
products
conformal
and
adaptive
fashion,
such
wrist
pulse
tracers,
body
temperature
trackers,
blood
glucose
monitors,
etc.
In
this
work,
we
present
holistic
review
of
recent
advance
flexible
biosensors
for
sector.
technical
spectrum
broadly
covers
design
selection
substrate,
process
integrate
units,
exploration
different
types
monitor
human
temperature,
glucose,
ions,
gas,
motion
indicators,
well
their
applications
surface-enhanced
Raman
scattering
(SERS)
colorimetric
detections.
Their
fundamental
working
principles
structural
innovations
are
scoped
summarized.
challenges
prospects
articulated
regarding
critical
importance
continued
progress
improve
living
quality.
ACS Nano,
Journal Year:
2021,
Volume and Issue:
15(12), P. 19054 - 19069
Published: July 26, 2021
The
increasing
population
of
the
elderly
and
motion-impaired
people
brings
a
huge
challenge
to
our
social
system.
However,
walking
stick
as
their
essential
tool
has
rarely
been
investigated
into
its
potential
capabilities
beyond
basic
physical
support,
such
activity
monitoring,
tracing,
accident
alert.
Here,
we
report
powered
by
ultra-low-frequency
human
motion
equipped
with
deep-learning-enabled
advanced
sensing
features
provide
healthcare-monitoring
platform
for
users.
A
linear-to-rotary
structure
is
designed
achieve
highly
efficient
energy
harvesting
from
linear
ultralow
frequency.
Besides,
two
kinds
self-powered
triboelectric
sensors
are
proposed
integrated
extract
stick.
Augmented
functionalities
high
accuracies
have
enabled
deep-learning-based
data
analysis,
including
identity
recognition,
disability
evaluation,
status
distinguishing.
Furthermore,
self-sustainable
Internet
Things
(IoT)
system
global
positioning
tracing
environmental
temperature
humidity
amenity
functions
obtained.
Combined
aforementioned
functionalities,
this
demonstrated
in
various
usage
scenarios
caregiver
real-time
well-being
monitoring.
caregiving
shows
being
an
intelligent
aid
users
help
them
live
life
adequate
autonomy
safety.
