A Gantt chart reflects all postures and performed activities during the week and the corresponding MET-levels indicate the associated intensity levels. The same data analysis applies as for the 'Physical Activity' module but the results are presented in a simplified manner.


It was concluded that the DynaPort MoveMonitor provides information on habitual physical activity. The parameters are useful as outcome measures and for self-monitoring of daily activities in physical activity intervention studies for COPD. The DynaPort MoveMonitor is a very accurate instrument for detecting postures, walking and steps [1]. The DynaPort MoveMonitor is a practical and valuable method for objectively evaluating gait and postures [2]. This triaxial monitor system is a practical and valuable tool for objective, continuous evaluation of walking and postures in patients with mild to moderate PD [3].


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.

Metabolic Equivalent of Task (MET)

A physiological concept expressing the energy cost of a physical activity as a multiple of Basal Metabolic Rate (BMR). By convention, 1 MET is considered as the resting metabolic rate obtained during quiet sitting.

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.