Actigraphy

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“Ambulatory monitoring of sleep disorders".
Russo et al 2010.
Practice parameters of the American Academy
of sleep medicine
Audience will get to know
actigraphy
Technique
Uses


What does it record
Pros &Cons
Practice
parameters
Application of accelerometers using miniature
motion sensors to study the macro and micro
activities associated with human motion has
been termed actigraphy.
 How
is it worn
 Where
 What
does it record
 Where
does the data go.
It is used to clinically evaluate:
Insomnia
Circadian
rhythm sleep
Excessive
sleepiness
disorders
Restless
leg syndrome
Since its conception in 1920s,
actigraphy was developed to
objectively
measure
and
quantify sleep patterns based
on body movements.
wrist-mounted accelerometry
was developed in the 1970s
and 1980s at the Walter Reed
Army Institute of Research
(AIR)
and
the
National
Institutes of Health (NIH
Sadeh
and
colleagues
concluded
that
actigraphy provided useful information and
that it may be a "cost-effective method for
assessing
specific
sleep
methodological
issues
systematically
addressed
research and practice".
disorders
have
not
in
but
been
clinical
Fastest sample rate
Amount of memory
Battery usage
Weight:
Water resistance:
User input:
Subjective user input
 Valid
for assessing
sleep durations and
sleep/wake activity
 In
comparison with
PSG, a technical
difficulty
 Less reliable than
PSG for detecting
 Utility in adult and ,
sleep as sleep
adolescent, geriatric
became more
patients
disturbed
Observations studies Less reliable for
measuring sleep
in comparison to
offset or sleep
actigraphy yielded a
efficiency
high reliability
to
traditional PSG,
actigraphy records
for multiple days
and nights
 Compared
 Actigraphy
facilitate
sleep assessment at
home
 Artifacts,recording
standardized??
 Sensitivity to
differentiate
between sleep and
movementless
moments
 Underestimate
EMG activity
leg
o
o
actigraphy can be a
useful follow-up mean to
intervention studies.
o
Valid marker of
entrained endogenous
circadian phase
o
o
o
Ability to detect Periodic
leg movements (PLMs)
Utility for assessment
during extended clinical
trials
In comparison to PSG,
it lacks sensitivity to
detect sleep quality
and sleep stages,
specifically cannot
delineate arousals
There exist
discrepancies in data
on sleep latency,
number and duration
of night awakenings or
number of naps when
compared to sleep log
analysis
1.A number of scoring programs have been
developed, with different algorithms for
discriminating sleep from.
2.Some of these algorithms have been validated
against polysomnographic
3.The number of scoring programs and the
number of variables continues to increase,
resulting in the proliferation of variables that
have no demonstrable validity or reliability yet
are automatically generated when the scoring
program is run.
IS
IV
L5
L5 onset
M10
M10 onset
Amplitude
Rel .Amp
32
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