<s>
Sample	B-Language
entropy	I-Language
(	O
SampEn	O
)	O
is	O
a	O
modification	O
of	O
approximate	B-Language
entropy	I-Language
(	O
ApEn	O
)	O
,	O
used	O
for	O
assessing	O
the	O
complexity	O
of	O
physiological	O
time-series	O
signals	O
,	O
diagnosing	O
diseased	O
states	O
.	O
</s>
<s>
Like	O
approximate	B-Language
entropy	I-Language
(	O
ApEn	O
)	O
,	O
Sample	B-Language
entropy	I-Language
(	O
SampEn	O
)	O
is	O
a	O
measure	O
of	O
complexity	O
.	O
</s>
<s>
For	O
a	O
given	O
embedding	O
dimension	O
,	O
tolerance	O
and	O
number	O
of	O
data	B-Application
points	I-Application
,	O
SampEn	O
is	O
the	O
negative	O
natural	O
logarithm	O
of	O
the	O
probability	O
that	O
if	O
two	O
sets	O
of	O
simultaneous	O
data	B-Application
points	I-Application
of	O
length	O
have	O
distance	O
then	O
two	O
sets	O
of	O
simultaneous	O
data	B-Application
points	I-Application
of	O
length	O
also	O
have	O
distance	O
.	O
</s>
<s>
Where	O
std	O
stands	O
for	O
standard	B-General_Concept
deviation	I-General_Concept
which	O
should	O
be	O
taken	O
over	O
a	O
very	O
large	O
dataset	O
.	O
</s>
<s>
For	O
instance	O
,	O
the	O
r	O
value	O
of	O
6	O
ms	O
is	O
appropriate	O
for	O
sample	B-Language
entropy	I-Language
calculations	O
of	O
heart	O
rate	O
intervals	O
,	O
since	O
this	O
corresponds	O
to	O
for	O
a	O
very	O
large	O
population	O
.	O
</s>
<s>
Sample	B-Language
entropy	I-Language
can	O
be	O
implemented	O
easily	O
in	O
many	O
different	O
programming	O
languages	O
.	O
</s>
