Table 3.
Using electrode arrays to approximate the optimal model electrode configurationsa
Description | Performance (RPU or AUC)b of Arrays | ||||||
---|---|---|---|---|---|---|---|
Case | Orientation | Element | Optimalc | 3387 | 3389 | Vercise | 12-electrode |
Efficiency | parallel | AOP | 97 | 100 | 100 | 100 | 95 |
Efficiency | parallel | TA | 93 | 100 | 100 | 100 | 87 |
Efficiency | parallel | LN | 88 | 100 | 100 | 100 | 77 |
Efficiency | perp. | AOP | 29 | 161 | 284 | 283 | 32 |
Efficiency | perp. | TA | 34 | 161 | 282 | 282 | 39 |
Efficiency | perp. | LN | 25 | 161 | 284 | 283 | 36 |
Selectivity | parallel over perp. | AOP over AOP | 16 | 28 | 11 | 11 | 13 |
Selectivity | perp. over parallel | AOP over AOP | 94 | 84 | 84 | 86 | 96 |
Selectivity | parallel over parallel | TA over AOP | 86 | 86 | 86 | 86 | 86 |
Selectivity | parallel over perp. | TA over AOP | 100 | 99 | 99 | 99 | 100 |
Biphasic stimulation of neural elements ≤ 5 mm from origin.
Relative power usage (RPU) for efficiency and area under curve (AUC) for selectivity (see Section 2.2).
See figures 4a, 5a, and 6a for optimal 3-electrode configurations.
Abbreviations: AOP = axon of passage, TA = terminating axon, LN = local neuron, perp. = perpendicular.