Background:
Essential
Tremor
(ET)
is
the
most
frequent
movement
disorder
and
in
particular,
essential
tremor
is
the
most
cause
of
postural
tremor
in
humans.
The
definition
and
classification
of
essential
tremor
are
still
based
on
clinical
phenomena,
and
none
of
a
clinical
features
of
e ...»»»»
Background:
Essential
Tremor
(ET)
is
the
most
frequent
movement
disorder
and
in
particular,
essential
tremor
is
the
most
cause
of
postural
tremor
in
humans.
The
definition
and
classification
of
essential
tremor
are
still
based
on
clinical
phenomena,
and
none
of
a
clinical
features
of
essential
tremor
is
entirely
specific
or
sensitive
for
this
condition
(Gironell,
2011).
Objective:
In
order
to
connect
the
patient
with
the
doctor,
the
main
objective
of
this
project
is
developing
an
entire
framework
that
implement
a
complete
system
cloud-‐based
for
capture
the
tremor
characteristics
using
the
smartphone.
Methods:
We
designed
and
developed
a
mobile
app
for
iOS
platform
to
collect
tremor
characteristics
using
the
smartphone
accelerometer,
and
send
the
data
to
cloud
for
storage
and
processing.
Medical
Staff
can
view
all
of
data
and
evaluate
the
level
and
the
type
of
the
tremor.
Results:
We
use
a
mathematical
transformation
of
data
to
obtain
the
power
spectrum
peak.
This
is
the
most
important
data
that
the
Neurologist
specialist
needs
to
evaluate
the
tremor.
We
compared
the
results
obtained
using
iPhone
and
using
the
traditional
method
and
the
values
are
similar.
However,
we
propose
to
realize
a
serious
clinical
test
and
modify
the
signal
processing
procedures
in
order
to
approximate
both
results.
Conclusions:
Our
objective
in
this
project
is
provide
a
complete
framework
to
Patients
and
to
Professionals
to
improve
detection,
treatment
and
facilitate
the
work
between
both.
Tremor
Clinic
wants
to
become
a
complete
framework
for
diagnosis.
From
the
point
of
view
of
business,
we
have
developed
a
Medical
Solution
and
improve
Mobile
Health
care.
We
provide
with
this
work
a
complete
set
of
tools
that
help
the
Scientific
Community
incorporate
mobile
health
solutions
in
their
work.
Is
a
starting
point
to
further
research
the
reliability
about
smartphone
features
vs
clinical
equipment.^^^^
