Getting to actigraphy

Smartphone use as sleep-wake cycle. Integrating multimodal data. Nonparametric circadian analysis.

Jeff Brozena

Goals

  1. Answer: How is our data useful as actigraphy? “Tappigraphy” as metaphor
  2. Integrating multimodal data streams via burstiness and memory
  3. Clearly define nonparametric circadian measures
  4. Conclude with Jupyter notebook review

1. Smartphone use as actigraphy

‘Tappigraphy’ paper

Tappigraphy accounts for delays to sleep in ways actigraphy doesn’t

2. Integrating multimodal data streams

‘Finding structure in time’ paper

Burstiness?

Burstiness.

Burstiness.

Burstiness in human behavior

3. Using nonparametric measures

‘A fresh look at use of nonparametric analysis in actimetry’ paper

‘Fresh look’ paper

pyActigraphy nonparametric calculations

4. Conclusion

New visualizations available

Bibliography

  1. Borger, J. N., Huber, R., & Ghosh, A. (2019). Capturing sleep–wake cycles by using day-to-day smartphone touchscreen interactions. Npj Digital Medicine, 2(1), 1–8. https://doi.org/10.1038/s41746-019-0147-4
    • Matlab code is here
  2. Goh, K.-I., & Barabási, A.-L. (2008). Burstiness and memory in complex systems. EPL (Europhysics Letters), 81(4), 48002. https://doi.org/10.1209/0295-5075/81/48002
  3. Gonçalves, B., Adamowicz, T., Louzada, F. M., Moreno, C. R., & Araujo, J. F. (2015). A fresh look at the use of nonparametric analysis in actimetry. Sleep Medicine Reviews, 20, 84–91. https://doi.org/10.1016/j.smrv.2014.06.002
  4. Xu, T. L., de Barbaro, K., Abney, D., & Cox, R. (2019). Finding Structure in Time: Visualizing and Analyzing Behavioral Time Series [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/mpz9g
    • Matlab code is here