Table 1.
Behavioral FDL and FFR frequency tracking for all subjects
|
Subject
|
FDL
|
100% FDL condition
|
75% FDL condition
|
||||
|---|---|---|---|---|---|---|---|
|
AR_FD
|
ACF_PD
|
∆ α (ms) |
AR_FD
|
ACF_PD
|
∆ α (ms) | ||
| No. | (Hz) | (Hz) | (ms) | (Hz) | (ms) | ||
| S1 |
1.72 |
1.55 |
-0.07 |
0.219 |
1.51 |
-0.04 |
0.158 |
| S2 |
2.67 |
0.88 |
-0.08 |
0.112 |
2.51 |
-0.10 |
0.081 |
| S3 |
2.96 |
4.12 |
-0.13 |
0.206 |
2.48 |
-0.08 |
0.138 |
| S4 |
2.96 |
2.21 |
-0.13 |
0.147 |
2.60 |
-0.10 |
0.086 |
| S5 |
3.11 |
3.09 |
-0.13 |
0.131 |
0.96 |
-0.06 |
0.131 |
| S6 |
3.24 |
4.39 |
-0.17 |
0.126 |
2.87 |
-0.13 |
0.127 |
| S7 |
3.44 |
None |
None |
None |
3.81 |
-0.20 |
0.226 |
| S8 |
3.51 |
2.57 |
-0.14 |
0.365 |
2.34 |
-0.13 |
0.102 |
| S9 |
3.57 |
3.6 |
-0.19 |
0.107 |
2.20 |
-0.12 |
0.153 |
| S10 |
3.58 |
4.93 |
-0.17 |
0.195 |
None |
None |
None |
| S11 |
4.54 |
4.31 |
-0.25 |
0.127 |
2.68 |
-0.16 |
0.083 |
| S12 |
4.66 |
4.84 |
-0.28 |
0.128 |
3.62 |
-0.22 |
0.103 |
| S13 |
5.37 |
4.63 |
-0.26 |
0.083 |
3.64 |
-0.26 |
0.148 |
| S14 |
5.54 |
4.69 |
-0.25 |
0.297 |
3.58 |
-0.27 |
0.172 |
| S15 |
5.63 |
5.54 |
-0.27 |
0.088 |
3.97 |
-0.19 |
0.094 |
| Mean |
3.77 |
3.67 |
-0.18 |
0.17 |
2.77 |
-0.15 |
0.13 |
| Standard deviation | 1.10 | 1.35 | 0.07 | 0.08 | 0.85 | 0.07 | 0.04 |
AR_FD represents the difference between characteristic frequencies of FFRs evoked by F_ref and F_comp using AR algorithm, while ACF_PD represents the period difference using ACF algorithm. ∆α represents FFR frequency tracking accuracy calculated as equation (3).