This repository contains all routines to generate the figures of the article 'On multifractals: a non-linear study of actigraphy data'.
📰 França, L. G. S., Montoya, P., & Miranda, J. G. V. (2018). On multifractals: A non-linear study of actigraphy data. Physica A: Statistical Mechanics and Its Applications. https://doi.org/10.1016/J.PHYSA.2018.09.122 arXiv:1702.03912.
📰 FRANÇA, L. G. S.; MIRANDA, J. G. V.; LEITE, M.; SHARMA, N. K.; WALKER, M. C.; LEMIEUX, L.; WANG, Y. Fractal and multifractal properties of electrographic recordings of human brain activity: Towards its use as a signal feature for machine learning in clinical applications. Frontiers in Physiology. https://doi.org/10.3389/fphys.2018.01767 GitHub Repository: yujiangwang/MultiFractalEEG
git clone https://github.com/lucasfr/actiMF
To guarantee reproducibility and reduce issues involved in solving dependencies, all the routines available here run in a Docker container. Please download the last version of the software at their website: https://www.docker.com/
To run the Docker container with the defined settings, please run:
docker-compose up -d
docker-compose exec rstudio /bin/sh -c "./runMF.sh"
Chhabra-Jensen approach routine can be employed in the analysis of different time series with the following command:
./mgran file_to_parse q_measures_extension alpha_measures_extension -q +q q_steps max_dyadic_scale R2-q R2-alpha summary_or_spectra ignore_scales >> output_file
All figures are in an R Markdown document to ease visualisation. Open the link http://localhost:8787 and then the file actiMF.Rmd when the RStudio loads.
When you are finished with your analysis stop the Docker container with the command:
docker-compose kill rstudio
| Patient | Gender | Age | BMI | Group | Painkillers | Anxiolytics | Antidepressants |
|---|---|---|---|---|---|---|---|
| 000 | F | 28.76 | 23.53 | HC | No | No | No |
| 030 | F | 35.86 | 22.50 | HC | No | No | No |
| 040 | F | 24.68 | 21.63 | HC | No | No | No |
| 050 | F | 25.01 | 18.96 | HC | No | No | Yes |
| 060 | F | 30.29 | 20.94 | HC | No | No | No |
| 070 | F | 36.02 | 20.76 | HC | No | No | No |
| 080 | F | 26.33 | 20.69 | HC | No | No | No |
| 100 | F | 44.70 | 24.84 | HC | No | No | No |
| 110 | F | 41.88 | 21.49 | HC | No | No | No |
| 120 | F | 31.94 | 18.71 | HC | No | No | No |
| 140 | F | 48.69 | 25.56 | HC | No | No | No |
| 150 | F | 42.61 | 18.86 | HC | No | No | No |
| 160 | F | 46.66 | 24.51 | HC | No | No | No |
| 001 | F | 56.97 | 25.59 | HC | No | No | No |
| 011 | F | 57.69 | 23.59 | HC | No | No | Yes |
| 021 | F | 54.64 | 25.63 | HC | No | No | No |
| 031 | F | 56.14 | 22.31 | HC | No | No | No |
| 041 | F | 71.75 | 24.34 | HC | No | No | No |
| 051 | F | 57.25 | 26.78 | HC | No | No | No |
| 061 | F | 58.78 | 25.63 | HC | No | No | No |
| 071 | F | 57.34 | -- | HC | No | No | No |
| 091 | F | 70.11 | -- | HC | No | No | No |
| 101 | F | 61.36 | 21.23 | HC | No | No | No |
| 111 | F | 57.26 | 20.40 | HC | No | Yes | Yes |
| 121 | F | 58.97 | 20.20 | HC | No | No | No |
| 141 | F | 57.26 | 21.22 | HC | No | No | No |
| 151 | F | 57.40 | 23.71 | HC | No | No | No |
| 500 | F | 43.17 | 29.02 | FM | Yes | Yes | Yes |
| 510 | F | 41.81 | 30.48 | FM | Yes | Yes | Yes |
| 520 | F | 40.98 | 27.92 | FM | Yes | No | Yes |
| 530 | F | 31.13 | 29.03 | FM | Yes | Yes | Yes |
| 560 | F | 41.71 | 20.58 | FM | Yes | Yes | No |
| 570 | F | 34.51 | 23.71 | FM | Yes | No | No |
| 580 | F | 29.97 | 23.34 | FM | Yes | No | No |
| 600 | F | 38.52 | NA | FM | NA | NA | NA |
| 610 | F | 41.99 | 24.45 | FM | Yes | Yes | Yes |
| 620 | F | 37.56 | 35.42 | FM | Yes | Yes | Yes |
| 630 | F | 46.57 | 20.90 | FM | Yes | Yes | Yes |
| 640 | F | 49.04 | 23.62 | FM | No | No | No |
| 650 | F | 46.12 | 27.04 | FM | Yes | Yes | Yes |
| 501 | F | 60.71 | 20.03 | FM | Yes | Yes | Yes |
| 511 | F | 61.83 | 22.84 | FM | Yes | Yes | Yes |
| 521 | F | 50.47 | 24.97 | FM | NA | NA | NA |
| 531 | F | 58.99 | 25.54 | FM | Yes | Yes | Yes |
| 541 | F | 56.39 | 25.89 | FM | Yes | Yes | Yes |
| 551 | F | 52.24 | 25.53 | FM | No | Yes | Yes |
| 561 | F | 46.62 | 27.64 | FM | Yes | Yes | Yes |
| 571 | F | 58.31 | 34.93 | FM | Yes | No | Yes |
| 581 | F | 50.50 | 36.15 | FM | Yes | Yes | Yes |
| 601 | F | 56.45 | 28.00 | FM | Yes | Yes | Yes |
| 611 | F | 60.93 | 23.05 | FM | Yes | Yes | Yes |
| 621 | F | 54.94 | 27.82 | FM | Yes | Yes | Yes |
| 631 | F | 57.63 | 39.04 | FM | Yes | Yes | Yes |
| 641 | F | 56.95 | 26.04 | FM | Yes | No | No |
This software is licensed under an MIT License.
Copyright (c) 2018 Lucas G S França, Pedro Montoya, José G V Miranda.
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.