Table 1 Various summary statistics for every patient separately. The fractal dimension on a 3-hour scale was obtained for the full activity sequence, and for the three weeks separately, by applying the AAA method with \(n_{min} = 1\), \(n_{max} = 9\times 60\), \(s = 1.1\) and evaluating for \(n = 3\times 60\). The mean and standard deviation of the daily sum of activity counts is shown, as well as the correlation between the complexity signal and the activity sequences. This correlation is calculated by sampling the complexity signal (fractal dimension obtained using a 3-day sliding window) three times a day, and comparing these values to the sum of the activity counts contained within the same 3-day windows
Patient ID | Daily activity counts mean \(\varvec{\pm }\) std | Fractal dimension (n=3h) | Correlation 3-day activity & fractal dimension | |||
|---|---|---|---|---|---|---|
week 1 | week 2 | week 3 | global | |||
1 | 54269 ± 11659 | 1.293 | 1.276 | 1.287 | 1.287 | -0.375 |
2 | 102953 ± 13952 | 1.143 | 1.217 | 1.250 | 1.203 | 0.039 |
3 | 34625 ± 4475 | 1.219 | 1.199 | 1.234 | 1.222 | -0.273 |
4 | 75560 ± 13698 | 1.235 | 1.259 | 1.263 | 1.254 | -0.715 |
5 | 98137 ± 11050 | 1.197 | 1.234 | 1.283 | 1.242 | -0.179 |
6 | 75264 ± 13270 | 1.227 | 1.314 | 1.223 | 1.251 | -0.425 |
7 | 74710 ± 13024 | 1.184 | 1.181 | 1.182 | 1.180 | -0.278 |