Table 4.

Results of Each Volunteer Subject Showing Matthews Correlation Coefficients (MCC) of the Best Sensor Algorithms at Correctly Predicting Wear-Times.

Subject	Proximity foot	Proximity leg	Acceleration 4	Temperature 2
1—Trial 1	0.93	0.97	0.79	0.86
2—Trial 1	0.75	0.91	0.65	0.69
3—Trial 1	0.88	0.97	—	0.39
1—Trial 2	0.99	0.98	0.86	0.94
2—Trial 2	1.00	0.90	0.87	0.97
3—Trial2	0.91	0.67	0.72	0.83
4	0.98	0.62	0.93	0.87
5	0.98	0.99	0.90	0.94
6	0.93	0.80	0.85	0.80
7	0.97	0.84	0.65	0.96
8	0.88	0.93	-	0.59
9	0.98	0.98	0.79	0.63
10	0.98	0.98	0.94	0.93
Mean MCC	0.94	0.89	0.81	0.80
Stdev.	0.07	0.12	0.10	0.18
MCC CI	0.90-0.97	0.82-0.96	0.76-0.87	0.70-0.90

Acceleration data were not available for subject 3, trial 1 and for subject 8.

Abbreviations: CI, confidence interval; stdev., standard deviation.