JMIR mhealth and uhealth,
Год журнала:
2023,
Номер
11, С. e50983 - e50983
Опубликована: Сен. 20, 2023
Background
Consumer
sleep
trackers
(CSTs)
have
gained
significant
popularity
because
they
enable
individuals
to
conveniently
monitor
and
analyze
their
sleep.
However,
limited
studies
comprehensively
validated
the
performance
of
widely
used
CSTs.
Our
study
therefore
investigated
popular
CSTs
based
on
various
biosignals
algorithms
by
assessing
agreement
with
polysomnography.
Objective
This
aimed
validate
accuracy
types
through
a
comparison
in-lab
Additionally,
including
conducting
multicenter
large
sample
size,
this
seeks
provide
comprehensive
insights
into
applicability
these
for
monitoring
in
hospital
environment.
Methods
The
analyzed
11
commercially
available
CSTs,
5
wearables
(Google
Pixel
Watch,
Galaxy
Watch
5,
Fitbit
Sense
2,
Apple
8,
Oura
Ring
3),
3
nearables
(Withings
Sleep
Tracking
Mat,
Google
Nest
Hub
Amazon
Halo
Rise),
airables
(SleepRoutine,
SleepScore,
Pillow).
were
divided
2
groups,
ensuring
maximum
inclusion
while
avoiding
interference
between
within
each
group.
Each
group
(comprising
8
CSTs)
was
also
compared
via
Results
enrolled
75
participants
from
tertiary
primary
sleep-specialized
clinic
Korea.
Across
centers,
we
collected
total
3890
hours
sessions
along
543
polysomnography
recordings.
CST
recording
covered
an
average
353
hours.
We
349,114
epochs
polysomnography,
where
epoch-by-epoch
stage
classification
showed
substantial
variation.
More
specifically,
highest
macro
F1
score
0.69,
lowest
0.26.
Various
exhibited
diverse
performances
across
stages,
SleepRoutine
excelling
wake
rapid
eye
movement
like
showing
superiority
deep
stage.
There
distinct
trend
measure
estimation
according
type
device.
Wearables
high
proportional
bias
efficiency,
latency.
Subgroup
analyses
revealed
variations
scores
factors,
such
as
BMI,
apnea-hypopnea
index,
differences
male
female
subgroups
minimal.
Conclusions
that
among
examined,
specific
indicating
potential
application
monitoring,
other
partially
consistent
offers
strengths
different
classes
interested
wellness
who
wish
understand
proactively
manage
own
Consumer
sleep-tracking
devices
are
widely
used
and
becoming
more
technologically
advanced,
creating
strong
interest
from
researchers
clinicians
for
their
possible
use
as
alternatives
to
standard
actigraphy.
We,
therefore,
tested
the
performance
of
many
latest
consumer
devices,
alongside
actigraphy,
versus
gold-standard
sleep
assessment
technique,
polysomnography
(PSG).In
total,
34
healthy
young
adults
(22
women;
28.1
±
3.9
years,
mean
SD)
were
on
three
consecutive
nights
(including
a
disrupted
condition)
in
laboratory
with
PSG,
along
actigraphy
(Philips
Respironics
Actiwatch
2)
subset
devices.
Altogether,
four
wearable
(Fatigue
Science
Readiband,
Fitbit
Alta
HR,
Garmin
Fenix
5S,
Vivosmart
3)
nonwearable
(EarlySense
Live,
ResMed
S+,
SleepScore
Max)
tested.
Sleep/wake
summary
epoch-by-epoch
agreement
measures
compared
PSG.Most
EarlySense
performed
well
or
better
than
sleep/wake
measures,
while
worse.
Overall,
sensitivity
was
high
(all
≥0.93),
specificity
low-to-medium
(0.18-0.54),
stage
comparisons
mixed,
tended
perform
worse
poorer/disrupted
sleep.Consumer
exhibited
detecting
sleep,
most
equivalent
(or
than)
wake.
Device
assessments
inconsistent.
Findings
indicate
that
newer
demonstrate
promising
tracking
Devices
should
be
different
populations
settings
further
examine
wider
validity
utility.
Annals of Internal Medicine,
Год журнала:
2021,
Номер
174(3), С. ITC33 - ITC48
Опубликована: Март 1, 2021
Insomnia-the
unwelcome
experience
of
difficulty
sleeping-is
common
and
can
be
acute,
intermittent,
or
chronic.
Insomnia
the
presenting
symptom
for
several
sleep
disorders,
but
it
also
often
occurs
comorbidly
with
mental
physical
health
conditions.
Evaluating
insomnia
requires
assessing-largely
by
history-whether
an
underlying
condition
explains
it.
disorder
is
diagnostic
term
that
merits
specific
attention.
Cognitive
behavioral
therapy
preferred
treatment
approach
because
its
efficacy,
safety,
durability
benefit,
pharmaceutical
treatments
are
widely
used
symptoms.
Sensors,
Год журнала:
2021,
Номер
21(13), С. 4302 - 4302
Опубликована: Июнь 23, 2021
Consumer-grade
sleep
trackers
represent
a
promising
tool
for
large
scale
studies
and
health
management.
However,
the
potential
limitations
of
these
devices
remain
less
well
quantified.
Addressing
this
issue,
we
aim
at
providing
comprehensive
analysis
impact
accelerometer,
autonomic
nervous
system
(ANS)-mediated
peripheral
signals,
circadian
features
stage
detection
on
dataset.
Four
hundred
forty
nights
from
106
individuals,
total
3444
h
combined
polysomnography
(PSG)
physiological
data
wearable
ring,
were
acquired.
Features
extracted
to
investigate
relative
different
streams
2-stage
(sleep
wake)
4-stage
classification
accuracy
(light
NREM
sleep,
deep
REM
wake).
Machine
learning
models
evaluated
using
5-fold
cross-validation
standardized
framework
assessment.
Accuracy
(sleep,
was
94%
simple
accelerometer-based
model
96%
full
that
included
ANS-derived
features.
57%
79%
when
including
Combining
compact
form
factor
finger
multidimensional
biometric
sensory
streams,
machine
learning,
high
wake-sleep
staging
can
be
accomplished.
Sensors,
Год журнала:
2021,
Номер
21(5), С. 1562 - 1562
Опубликована: Фев. 24, 2021
Designing
wearable
systems
for
sleep
detection
and
staging
is
extremely
challenging
due
to
the
numerous
constraints
associated
with
sensing,
usability,
accuracy,
regulatory
requirements.
Several
researchers
have
explored
use
of
signals
from
a
subset
sensors
that
are
used
in
polysomnography
(PSG),
whereas
others
demonstrated
feasibility
using
alternative
sensing
modalities.
In
this
paper,
systematic
review
different
modalities
been
presented.
Based
on
90
papers,
13
identified.
Each
modality
identify
can
be
obtained
it,
stages
reliably
identified,
classification
accuracy
methods
modality,
as
well
usability
sensor
system.
It
concludes
two
most
common
those
based
electroencephalography
(EEG)
photoplethysmography
(PPG).
EEG-based
accurate,
EEG
being
only
capable
identifying
all
sleep.
PPG-based
much
simpler
better
suited
monitoring
but
unable
stages.
Nature and Science of Sleep,
Год журнала:
2022,
Номер
Volume 14, С. 493 - 516
Опубликована: Март 1, 2022
Commercial
wearable
sleep-tracking
devices
are
growing
in
popularity
and
recent
studies
have
performed
well
against
gold
standard
sleep
measurement
techniques.
However,
most
were
conducted
controlled
laboratory
conditions.
We
therefore
aimed
to
test
the
performance
of
under
naturalistic
unrestricted
home
conditions.Healthy
young
adults
(n
=
21;
12
women,
9
men;
29.0
±
5.0
years,
mean
SD)
slept
at
conditions
for
1
week
using
a
set
commercial
completed
daily
diaries.
Devices
included
Fatigue
Science
Readiband,
Fitbit
Inspire
HR,
Oura
ring,
Polar
Vantage
V
Titan.
Participants
also
wore
research-grade
actigraphy
watch
(Philips
Respironics
Actiwatch
2)
comparison.
To
assess
performance,
all
compared
with
high
performing
mobile
electroencephalography
headband
device
(Dreem
2).
Analyses
epoch-by-epoch
summary
agreement
comparisons.Devices
accurately
tracked
sleep-wake
metrics
(ie,
time
bed,
total
time,
efficiency,
latency,
wake
after
onset)
on
nights
but
best
higher
efficiency.
Epoch-by-epoch
sensitivity
(for
sleep)
specificity
wake),
respectively,
as
follows:
(0.95,
0.35),
(0.94,
0.40),
(0.93,
0.45),
0.41),
(0.96,
0.35).
Sleep
stage-tracking
was
mixed,
variability.As
previous
studies,
better
detecting
than
wake,
favorably
detection.
more
consolidated
patterns.
Unrestricted
TIB
differences
nights.
High
variability
suggests
that
these
devices,
their
current
form,
still
utilized
tracking
outcomes
not
stages.
Most
wearables
exhibited
promising
real-world
conditions,
further
supporting
consideration
an
alternative
actigraphy.
Journal of Sleep Research,
Год журнала:
2022,
Номер
31(4)
Опубликована: Май 24, 2022
Summary
Obstructive
sleep
apnea
(OSA)
is
characterised
by
recurring
episodes
of
upper
airway
obstruction
during
and
the
fundamental
abnormality
reflects
inability
dilating
muscles
to
withstand
negative
forces
generated
within
inspiration.
Factors
that
result
in
narrowing
oropharynx
such
as
abnormal
craniofacial
anatomy,
soft
tissue
accumulation
neck,
rostral
fluid
shift
recumbent
position
increase
collapsing
airway.
The
counteracting
muscles,
especially
genioglossus,
are
negatively
influenced
onset,
inadequacy
genioglossus
responsiveness,
ventilatory
instability,
post
arousal,
loop
gain.
OSA
frequently
associated
with
comorbidities
include
metabolic,
cardiovascular,
renal,
pulmonary,
neuropsychiatric,
there
growing
evidence
bidirectional
relationships
between
comorbidity,
for
heart
failure,
metabolic
syndrome,
stroke.
A
detailed
understanding
complex
pathophysiology
encourages
development
therapies
targeted
at
pathophysiological
endotypes
facilitates
a
move
towards
precision
medicine
potential
alternative
continuous
positive
pressure
therapy
selected
patients.
Wearable
sleep-tracking
technology
is
of
growing
use
in
the
sleep
and
circadian
fields,
including
for
applications
across
other
disciplines,
inclusive
a
variety
disease
states.
Patients
increasingly
present
data
derived
from
their
wearable
devices
to
providers
ever-increasing
availability
commercial
new-generation
research/clinical
tools
has
led
wide
adoption
wearables
research,
which
become
even
more
relevant
given
discontinuation
Philips
Respironics
Actiwatch.
Standards
evaluating
performance
have
been
introduced
available
evidence
suggests
that
consumer-grade
exceed
traditional
actigraphy
assessing
as
defined
by
polysomnogram.
However,
clear
limitations
exist,
example,
misclassification
wakefulness
during
period,
problems
with
tracking
outside
main
bout
or
nighttime
artifacts,
unclear
translation
individuals
certain
characteristics
comorbidities.
This
particular
relevance
when
person-specific
factors
(like
skin
color
obesity)
negatively
impact
sensor
potential
downstream
augmenting
already
existing
healthcare
disparities.
holds
great
promise
our
field,
features
distinct
such
measurement
autonomic
parameters,
estimation
features,
integrate
self-reported,
objective,
passively
recorded
health
indicators.
Scientists
face
numerous
decision
points
barriers
incorporating
actigraphy,
multi-sensor
devices,
contemporary
research/clinical-grade
trackers
into
research.
Considerations
include
device
capabilities
performance,
target
population
goals
study,
outputs
raw
aggregate
data,
extraction,
processing,
analysis.
Given
difficulties
implementation
utilization
real-world
research
clinical
settings,
following
State
Science
review
requested
Sleep
Research
Society
aims
address
questions.
What
can
provide?
How
accurate
are
these
data?
should
be
taken
account
research?
These
outstanding
questions
surrounding
considerations
motivated
this
work,
outlining
practical
recommendations
using
Sleep Medicine,
Год журнала:
2024,
Номер
115, С. 251 - 263
Опубликована: Янв. 26, 2024
.
To
evaluate
the
validity
and
reliability
of
Oura
Ring
Generation
3
(Gen3)
with
Sleep
Staging
Algorithm
2.0
(OSSA
2.0)
through
multi-night
polysomnography
(PSG).
Participants
were
96
generally
healthy
Japanese
men
women
aged
between
20
70
years
contributing
421,045
30-s
epochs.
scoring
was
performed
according
to
American
Academy
Medicine
criteria.
Each
participant
could
contribute
a
maximum
three
(PSG)
nights.
Within-participant
means
created
for
each
sleep
measure
paired
t-tests
used
compare
equivalent
measures
obtained
from
PSG
Rings
(non-dominant
dominant
hand).
Agreement
assessed
using
Bland-Altman
plots.
Interrater
epoch
accuracy
determined
by
prevalence-adjusted
bias-adjusted
kappa
(PABAK).
The
did
not
significantly
differ
time
in
bed,
total
time,
onset
latency,
period
wake
after
onset,
spent
light
sleep,
deep
sleep.
worn
on
non-dominant-
dominant-hand
underestimated
efficiency
1.1
%–1.5
%
REM
4.1–5.6
min.
had
sensitivity
94.4
%–94.5
%,
specificity
73.0
%–74.6
predictive
value
95.9
%–96.1
66.6
%–67.0
91.7
%–91.8
%.
PABAK
0.83–0.84
94.8
staging
ranged
75.5
(light
sleep)
90.6
(REM
sleep).
Gen3
OSSA
shows
good
agreement
global
EBioMedicine,
Год журнала:
2024,
Номер
103, С. 105094 - 105094
Опубликована: Апрель 4, 2024
Sleep
and
circadian
rhythm
disruptions
are
common
in
patients
with
mood
disorders.
The
intricate
relationship
between
these
has
been
investigated,
but
their
causal
dynamics
remain
unknown.