Types of Activity
Types of activity form the basis of the MoveMonitor and are presented in a Numerical report, a Summary report or in a Day-to-Day report. The numerical report is an event list, with cumulative event number, start time, end time, and activity type. The summary report shows the average of the complete measurement. The day-to-day report presents day totals and activity distributions per day in 20 minute bouts.
Transitions Between Type of Activity
Transitions are defined as a change in type of activity. The number of transitions between all types of activities are calculated and summarized in a table in the graphical reports.
For each period of walking that is detected, the amount of steps is determined and shown in the numerical report. In the summary report the total amount of steps and the average amount of steps per walk period are shown.
Absolute and relative duratins of each type of activity are calculated and presented in the graphical reports. The summary report shows an overview of the complete measurement, the day-to-day report presents day totals.
The movement frequency is the amount of periods of a type of activity. The summary report shows the averages of the complete measurement, the day-to-day report presents day totals.
The Movement Intensity (MI) is derived from the acceleration signal and gives an indication of the power of the movements. The MI per event is shown in the numerical report. The MI per day per activity is shown in the day-to-day report. Various MI intervals are created. The number of periods in each interval is shown in the Physical Activity Recommendations report.
1. Langer, D., Gosselink, R., Sena, R., Burtin, C., Decramer, M., & Troosters, T. (2009). Validation of Two Activity Monitors in Patients With COPD. Thorax, 64, 641-642. doi:10.1136/thx.2008.112102.
2. Dijkstra, B., Kamsma, Y., & Zijlstra, W. (2010). Detection of Gait and Postures Using a Miniaturised Triaxial Accelerometer-Based System: Accuracy in Community Dwelling Older Adults. Age Ageing, 39(2), 259-262. doi:10.1093/ageing/afp249.
3. Dijkstra, B., Kamsma, Y., & Zijlstra, W. (2010). Detection of Gait and Posture Using a Miniaturized Triaxial Accelerometer-Based System: Accuracy in Patients With Mild to Moderate Parkinson's Disease. Arch Phys Med Rehabil, 91, 1272-1276. doi:10.1016/j.apmr.2010.05.004.