I am using four different sensor models (four different devices) to gather some biometric data(eg. heart rate) for the same user, for the same time period. In an ideal scenario, all the devices are properly positioned, so for the time being we are not concerned about null values and bad readings.
The data follows this format:
timestamp: XXXXXXXXXX //unix epoch timestamp duration: XXX //duration in seconds value: XX state: <state> //string that characterizes the state of the user based on the value
The devices have quite varied levels of sensitivity, and their individual graphs may contain different "state" sequences, both in terms of the number of appearances of each "state" and their individual timestamps.
I am now tasked with presenting the data into a single graph that combines the data from all devices, and clearly presents the "state" of the user over time. Is there a way to do this without making arbitrary decisions regarding the accuraccy of the devices, or the significance of small duration readings? (I am doing this in Python if that is of any importance)