Table 2 Accuracy achieved for each subject with different features extracted at different time intervals
From: Analyzing EEG signals to detect unexpected obstacles during walking
C S P | ||||||
|---|---|---|---|---|---|---|
Time interval | S1 | S2 | S3 | S4 | S5 | Average |
0–500 ms | 62.7 ±4.1 | 69.3 ±5.3 | 65.0 ±5.3 | 67.5 ±3.6 | 62.4 ±5.9 | 65.3 ±5.7 |
150–650 ms | 64.7 ±4.1 | 78.2 ±4.2 | 69.9 ±5.1 | 70.9 ±3.8 | 62.6 ±5.4 | 69.4 ±7.1 |
300–800 ms | 65.8 ±4.5 | 74.0 ±4.3 | 66.4 ±4.5 | 72.1 ±4.0 | 64.2 ±5.6 | 68.4 ±6.1 |
0–800 ms | 67.1 ±4.9 | 75.9 ±4.3 | 67.4 ±5.8 | 72.5 ±3.8 | 64.7 ±5.7 | 69.5 ±6.3 |
P O W E R | ||||||
Time interval | S1 | S2 | S3 | S4 | S5 | Average |
0–500 ms | 68.6 ±2.7 | 71.3 ±3.0 | 67.4 ±3.3 | 67.9 ±1.9 | 64.8 ±4.0 | 67.8 ±4.1 |
150–650 ms | 70.2 ±2.7 | 74.7 ±3.7 | 66.1 ±3.9 | 70.8 ± 2.8 | 64.1 ±4.7 | 69.2 ±5.2 |
300–800 ms | 70.7 ±2.9 | 77.5 ±3.6 | 65.6 ±3.9 | 69.9 ±2.4 | 67.0 ±4.1 | 70.2 ±5.3 |
0–800 ms | 70.3 ±3.1 | 77.1 ±3.4 | 65.8 ±3.6 | 69.9 ±2.3 | 65.8 ±4.5 | 69.8 ±5.4 |
S L O P E | ||||||
Time interval | S1 | S2 | S3 | S4 | S5 | Average |
0–500 ms | 66.7 ±1.0 | 79.8 ±3.4 | 69.7 ±4.8 | 70.0 ±2.3 | 67.4 ±4.4 | 70.6 ±5.9 |
150–65 0ms | 67.1 ±2.6 | 88.0 ± 3.3 | 75.8 ± 4.9 | 72.4 ± 2.4 | 65.5 ±4.9 | 74.0 ± 8.7 |
300–800 ms | 76.5 ±4.0 | 82.4 ±3.4 | 73.8 ±4.2 | 70.9 ±2.8 | 65.2 ±3.1 | 73.7 ±6.8 |
0–800 ms | 71.4 ±3.1 | 86.2 ±3.4 | 71.9 ±4.2 | 71.2 ±2.4 | 65.5 ±4.6 | 73.3 ±7.8 |
P O L Y N O M I A L | ||||||
Time interval | S1 | S2 | S3 | S4 | S5 | Average |
0–500 ms | 76.0 ±2.8 | 81.2 ±3.4 | 72.7 ±4.0 | 88.8 ±3.2 | 79.3 ±5.4 | 79.5 ±6.7 |
150–650 ms | 75.1 ±2.9 | 68.0 ±2.0 | 64.6 ±3.0 | 88.2 ±2.7 | 76.5 ±4.9 | 74.9 ±8.9 |
300–800 ms | 68.0 ±1.9 | 85.4 ±3.3 | 76.0 ±3.6 | 87.9 ±2.8 | 80.6 ±4.8 | 79.3 ±7.9 |
0–800 ms | 77.0 ±3.1 | 85.4 ±3.7 | 66.8 ±3.4 | 79.5 ±3.2 | 76.7 ±4.7 | 77.0 ±7.1 |