Guide
to
Electrophysiological
Recording
Bessel
Filter
This
is
the
analog
filter
used
for
most
signals
for
which
minimum
distortion
in
the
time
domain
is
required.
The
Bessel
filter
does
not
provide
as
sharp
a
roll
‐
off
as
the
Butterworth
filter,
but
it
is
well
behaved
at
sharp
transitions
in
the
signal,
such
as
might
occur
at
capacitance
transients
or
single
‐
channel
current
steps.
Butterworth
Filter
This
is
the
filter
of
choice
when
analyzing
signals
in
the
frequency
domain,
e
.g.,
when
making
power
spectra
for
noise
analysis.
The
Butterworth
filter
has
a
sharp,
smooth
roll
‐
off
in
the
frequency
domain,
but
introduces
an
overshoot
and
“ringing”
appearance
to
step
signals
in
the
time
domain.
Choosing
the
Cutoff
Frequency
In
practice,
there
are
two
important
considerations
when
selecting
the
filter
cutoff
frequency.
Aliasing
If
the
digitizing
interface
samples
at
2
kHz,
for
example,
any
noise
in
the
sampled
signal
that
has
a
frequency
greater
than
1
kHz
will
appear
in
the
digitized
trace
as
extra
noise
in
the
range
0
to
1
kHz.
In
other
words,
higher
‐
frequency
noise
(>
1
kHz)
will
appear
under
the
alias
of
lower
‐
frequency
noise
(<
1
kHz).
This
error
is
called
aliasing.
A
fundamental
principle
of
signal
analysis,
called
the
Nyquist
Principle,
therefore
states
that,
in
order
to
avoid
aliasing,
the
digitizing
frequency
(f
d
)
should
be
at
least
twice
the
filter
cutoff
frequency
(f
c
):
f
d
≥
2f
c
The
minimum
permissible
digitizing
frequency
(exactly
twice
f
c
)
is
called
the
Nyquist
frequency.
In
practice,
it
is
better
to
sample
at
two
or
more
times
the
Nyquist
frequency.
Thus,
f
d
=
5f
c
is
commonly
used.
This
means
that,
if
the
Axoclamp
900A
filter
is
set
at
5
kHz,
your
interface
should
be
capable
of
digitizing
at
25
kHz.
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