Conclusion
Our study serves as a case study demonstrating a two-step strategy in data reduction of CPI data. The use of sample frequency at 60 s provided a reasonable representation of pressure exposure and would reduce the burden of data management. Correlation coefficients were an effective measure that allowed us to identify lying position changes of patients. Both of these strategies will allow us to more efficiently analyse the data to quantitatively understand how the use of CPI technology affects interface pressure, and to determine its effectiveness in reducing pressure-related injuries.Data reduction methods are a necessary step in the era of adoption of new techniques that require big data analysis. Data reduction should be always considered in situations like ours, and ideally before starting data analysis. Our method may be generalizable to other data sets with spatiotemporal elements.