Blog 3 - Verisense Data Visualization

Our third blog posts delves into the outputs of a typical Activity and Sleep report generated from the Verisense platform.

The Verisense algorithm output creates a visual PDF report for each participants data. This report can be used to visually check that the system is working along expected lines, and to quickly highlight any anomalies. For more detailed statistical analysis of results, metrics should be taken from the generated .csv files, see sample .csv file and full PDF report here.

Page 1 of the visualization presents some of the main day-time and night-time metrics in bar chart form for each day of wear from the participant.

• Time spent in moderate or vigorous activity (average per day)

• Total physical activity (average per day)

• Duration monitor worn (hours per day)

• Sleep duration (average per night)

• Sleep efficiency (average per night)

The subsequent pages in the Participant’s report show the combined acceleration signal as well as the fore-arm angle along with annotations for sleep and activity. Data is presented in 24-hr periods.

The upper graph on each 24-hr period is the angle of the forearm, which is used to estimate sleep onset time, wake-up time and sleep efficiency. Nocturnal sleep and nocturnal wake periods are annotated on the forearm angle data.

The lower graph on each 24-hr period is the combined acceleration signal, which is used to classify daytime sensor wear time into sedentary, light, moderate or vigorous physical activity. These periods are annotated on the combined acceleration graph.

The color coded legend and corresponding color segmented graph indicates the different sleep states and physical activity intensity with the aligned time. Any periods of non-wear compliance will also be highlighted.

Details on how these metrics are calculated can be found in Blog 2 - FAQ’s on Data Processing.