Detecting COVID-19 Onset from Wearables
Maybe your fitness trackers can tell you if you are infected with COVID-19
While health experts cannot constantly monitor a person’s physiological indicators, a wearable can do the job. It can track a person’s heart rate, sleep patterns, body temperature, and several other parameters over time, and identify any deviations from normal. This can help predict the onset of health issues before the appearance of visible symptoms, ensuring timely treatment. It can also help experts study the effects produced over time and better understand the course of illnesses. In this project , I used data from wearable sensors is used to train an LSTM model for the classification of heart rate variability over time. This model demonstrates 87% test accuracy. Also, the model is interpreted to analyse which measures of heart rate variability could best explain the heart rate changes due to COVID-19 (see below).
