Classification of somatosensory evoked potential waveforms
Embodiments are disclosed relating to classification of somatosensory evoked potential waveforms.
1. A method, comprising:
using a computing platform,
classifying at least one evoked potential recording based at least in part on a median frequency of said at least one evoked potential recording and a measured zero-crossing rate of said at least one evoked potential recording; and
rejecting said at least one evoked potential recording based at least in part on said median frequency and said zero-crossing rate being approximately within a particular range, wherein a threshold median frequency is approximately within a range between 10 Hz and 150 Hz.
2. The method of claim 1 , further comprising recording said at least one evoked potential recording in response to one or more somatosensory stimulus.
3. The method of claim 1 , wherein said at least one evoked potential recording is obtained from a human or animal body.
4. The method of claim 1 , further comprising averaging at least two acceptable evoked potential recordings to generate a composite evoked potential recording.
5. The method of claim 1 , wherein said median frequency is computed as
∑
k
=
0
f
median
P
(
f
k
)
=
∑
k
=
f
median
f
c
2
P
(
f
k
)
where, P(f k ) comprises a k th sample of a power spectrum of said at least one evoked potential recording, f c comprises a sampling frequency, and f median comprises said median frequency.
6. The method of claim 1 , further comprising presenting said median frequency on a display device.
7. The method of claim 1 , wherein said zero-crossing rate is computed as
z
c
r
=
1
T
∑
t
=
0
T
-
1
Π
{
s
t
s
t
-
1
<
0
}
where s comprises said at least one evoked potential recording of time length T and an indicator function Π{A} is 1 if argument A is true and 0 if otherwise.
8. The method of claim 7 , wherein a threshold zero-crossing rate is approximately within a range of 1 to 100 during said time length T.
9. The method of claim 8 , wherein said threshold zero-crossing rate is user-selectable.
10. The method of claim 8 , wherein at least one evoked potential recording is classified as rejected if the measured zero-crossing rate is substantially equal to or higher than said threshold zero-crossing rate.
11. The method of claim 1 , further comprising presenting said measured zero-crossing rate on a display device.
12. The method of claim 1 , wherein said evoked potential recording comprises a somatosensory evoked potential (SEP) recording.
13. The method of claim 1 , wherein said evoked potential recording comprises at least one of the following: an electroencephalogram, nerve conduction recording, visual evoked potentials, audio evoked potentials, or any combination thereof.
14. The method of claim 1 , further comprising receiving one or more binary digital signals representative of said at least one evoked potential recording.
15. A method, comprising:
using a computing platform,
classifying at least one evoked potential recording based at least in part on a median frequency of said at least one evoked potential recording and a measured zero-crossing rate of said at least one evoked potential recording; and
rejecting said at least one evoked potential recording based at least in part on said median frequency and said zero-crossing rate being approximately within a particular range;
wherein said median frequency is computed as
∑
k
=
0
f
median
P
(
f
k
)
=
∑
k
=
f
median
f
c
2
P
(
f
k
)
where, P(f k ) comprises a k th sample of a power spectrum of said at least one evoked potential recording, f c comprises a sampling frequency, and f median comprises said median frequency, a threshold median frequency being approximately within a range between 10 Hz and 150 Hz.
16. The method of claim 15 , wherein said threshold median frequency is user-selectable.
17. The method of claim 15 , wherein said at least one evoked potential recording is classified as rejected if said median frequency is substantially equal to or higher than said threshold median frequency.
18. An apparatus, comprising:
a computing platform capable of:
classifying at least one evoked potential recording based at least in part on a median frequency of said at least one evoked potential recording and a measured zero-crossing rate of said at least one evoked potential recording; and
rejecting said at least one evoked potential recording based at least in part on said median frequency and said zero-crossing rate being approximately within a particular range, wherein a threshold median frequency is approximately within a range between 10 Hz and 150 Hz.
19. The apparatus of claim 18 , wherein said computing platform is capable of averaging at least two acceptable evoked potential recordings to generate a composite evoked potential recording.
20. The apparatus of claim 18 , wherein said evoked potential recording comprises a somatosensory evoked potential (SEP) recording.
21. The apparatus of claim 18 , wherein said computing platform is capable of computing said median frequency as
∑
k
=
0
f
median
P
(
f
k
)
=
∑
k
=
f
median
f
c
2
P
(
f
k
)
where, P(f k ) comprises a k th sample of a power spectrum of said at least one evoked potential recording, f c comprises a sampling frequency, and f median comprises said median frequency.
22. The apparatus of claim 18 , wherein said computing platform is capable of computing said zero-crossing rate as
z
c
r
=
1
T
∑
t
=
0
T
-
1
Π
{
s
t
s
t
-
1
<
0
}
where s comprises said at least one evoked potential recording of length T and an indicator function Π{A} is 1 if argument A is true and 0 if otherwise.
23. An article comprising: a storage medium having stored thereon instructions executable by a processor to:
classify at least one evoked potential recording based at least in part on a median frequency of said at least one evoked potential recording and a measured zero-crossing rate of said at least one evoked potential recording; and
reject said at least one evoked potential recording based at least in part on said median frequency and said zero-crossing rate being approximately within a particular range, wherein a threshold median frequency is approximately within a range between 10 Hz and 150 Hz.
24. The article of claim 23 , wherein said instructions are further executable by said processor to average at least two acceptable evoked potential recordings to generate a composite evoked potential recording.
25. The article of claim 23 , wherein said instructions are further executable by said processor to record said at least one evoked potential recording in response to one or more somatosensory stimulus.
26. The article of claim 23 , wherein said instructions are further executable by said processor to compute said median frequency as
∑
k
=
0
f
median
P
(
f
k
)
=
∑
k
=
f
median
f
c
2
P
(
f
k
)
where, P(f k ) comprises a k th sample of a power spectrum of said at least one evoked potential recording, f c comprises a sampling frequency, and f median comprises said median frequency.
27. The article of claim 23 , wherein said instructions are further executable by said processor to compute said zero-crossing rate as
z
c
r
=
1
T
∑
t
=
0
T
-
1
Π
{
s
t
s
t
-
1
<
0
}
where s comprises said at least one evoked potential recording of length T and an indicator function Π{A} is 1 if argument A is true and 0 if otherwise.