Open Source Actigraphy Toolbox

Matlab code to analyze actigraphy data. Each of following methods is stored in their own folder inside this repository.

Preprocessing

• Bandpass filters
• Cole and Oakley methods for converting accelerometer signal to activity counts
• Conversion to time-day matrix format which is required by Rest-Activity Metric calculation

Rest-Activity Metrics

For calculating Rest-Activity Metrics, use convert2Hours to get required time-day matrix data format. Then use preprocessRA to eliminate missing hours.

• Interday stability
• Intraday variability
• Least active 5 hours
• Most active 10 hours
• testRestActivityFunctions: Testing if new RA functions work as described by the author
• testMissingData: Trying to find optimal method to combat against missing data

Circadian Rhythm

• Cosinor Rhymometry
• υ_τ (v_tau), a measure of stability in rest-activity rhythm
• Dichotomy Index (I<O)
• Autocorrelation Coefficient (r24)

Sleep Detection

• Sleep detection with Oakley method

Visualize Data

• Double plot for visualizing actigraphy data over a couple of days

References

For references, please look at header of each code.