Table 1. Characteristics of the depressed patients and healthy controls analyzed in the first machine learning run.
| Depressed patients | Healthy Controls | t-test* | |
|---|---|---|---|
| Label | Condition | Control | |
| Days1 | 291 | 402 | |
| N | 23 | 32 | |
| Gender (male/female) | 13 / 10 | 12 / 20 | |
| Age | 42.8 (11.0) | 38.2 (13.0) | p = 0.170 |
| Days used Actigraph | 12.7 (2.8) | 12.6 (2.3) | p = 0.897 |
| Diagnosis (unipolar/bipolar) | 15 / 8 | ||
| MADRS at start | 22.7 (4.8) | ||
| MADRS at end | 20.0 (4.7) | ||
| Extracted Statistical Features: | |||
| Mean Activity | 190.05 (81.44) | 286.59 (81.10) | p < 0.001 |
| SD2 | 300.54 (95.86) | 405.10 (99.7) | p < 0.001 |
| Proportion of Zeros3 | 0.385 (0.154) | 0.299 (0.086) | p = 0.010 |
All data are given as mean (standard derivation), if not otherwise specified.
* Independent Samples T-Test with Levene's Test of Equality of Variances, significance level p < 0.05.
1 Number of 24-h sequences analyzed.
2 Standard derivation of mean activity.
3 Ratio of minutes with an activity level of zero.