For code and data associated with “Feasibility of continuous fever monitoring using wearable devices.”
Created by Prof. Benjamin Smarr at UCSD, 06/22/2020 as part of TemPredict.

PubData.mat contains a cell array with 4 columns and 50 rows. The rows are individuals, the columns 
are as follows:
Column 1: 4 column matrix covering 1 minute resolution across 60 days of the following variables, in 
order from left to right: temperature, heart rate, heart rate variability, respiratory rate. These data are 
the result of a 1-min resolution linear interpolation of the original data.
Column 2: single integer value: duration of reported symptoms, in days.
Column 3: extent of data to day of symptom onset (45 is complete, <45 indicates missing data at the 
beginning of the time series equal to 45-n in days).
Column 4: three column matrix of 0s and 1s representing the presence of absence of original data 
observation at that minute (the times used to generate the interpolated data in Column 1 of the array). 
1 indicates yes, 0 indicates no.

Code has annotation within it, and commentary on stats and naming conventions.