15.Sensors01.Smartwatch - sporedata/researchdesigneR GitHub Wiki

1. Use cases: in which situations should I use this method?

  • Combining accelerometer and patient report outcome measurement (PROM) data

2. Input: what kind of data does the method require?

3. Algorithm: how does the method work?

Model mechanics

Describing in words

Describing in images

Describing with code

Breaking down equations

Reporting guidelines

Data science packages

  • GGIR package is used to process multi-day raw accelerometer data for physical activity and sleep research [1] [2].

Suggested companion methods

Learning materials

  1. Books
  2. Articles

4. Output: how do I interpret this method's results?

Mock conclusions or most frequent format for conclusions reached at the end of a typical analysis.

Tables, plots, and their interpretation

  • Patterns plot - describes sensible variables over time - source
    Imgur

  • Describes a combinations of a patient reporter outcome measures and sensible variables - source
    Imgur

5. SporeData-specific

Templates

Data science functions

References

[1] Van Hees VT, Fang Z, Zhao JH, Heywood J, Mirkes E, Sabia S, Pujol JC, Migueles JH, Patterson MR, Jackson D. GGIR: Raw Accelerometer Data Analysis. R Package version. 2017;1:5-12.

[2] Hees VV. Accelerometer data processing with GGIR. 2020 Apr 30.

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