Adherence Monitor for Measurement of Removable Cast Walker Wear-Time: Multiple Sensors and Predictive Analytics Improve Accuracy
Authors' conclusion
Removable cast walker wear-time can be accurately determined using an electronic data recorder and multiple sensors. Wear-time measurement accuracy can be improved using algorithms that operate on data from multiple sensors that use a variety of sensor technologies.
Study context
- Population
- Healthy volunteers wearing an removable cast walker (RCW) for two weeks with a diary of don/doff times
- Participants
- 10 healthy volunteers
- Comparison
- Electronic wear-time monitor sensor algorithms vs volunteers' wear diaries
- Outcome
- Correlation of sensor algorithms with diary wear-time
Methodological detailsMonitor with internal and external temperature sensors, accelerometer, capacitive proximity foot and ankle sensors; data saved once per minute for up to 22 days, Sensor data compared with wear diaries using confusion matrix predictive analytics
- Monitor with internal and external temperature sensors, accelerometer, capacitive proximity foot and ankle sensors; data saved once per minute for up to 22 days
- Sensor data compared with wear diaries using confusion matrix predictive analytics
Performance
As reported in the abstract
- Differential temperature algorithm better than individual temperature sensor algorithms at predicting wear-time
- P = .009
- Accelerometer algorithm better than individual temperature sensor algorithms at predicting wear-time
- P = .001
- Foot proximity better correlation with diaries than temperature algorithms
- P = .024
- Foot proximity better correlation with diaries than acceleration algorithms
- P = .005
- Multi-sensor analysis correlation with diary wear-time
- .96
Original publication
Adherence Monitor for Measurement of Removable Cast Walker Wear-Time: Multiple Sensors and Predictive Analytics Improve Accuracy. J Diabetes Sci Technol. Published 23 December 2024. doi:10.
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