12-14-2020 01:28
12-14-2020 01:28
Hi,
I have examined data from several Fitbit users (with consent) and asked them to export their Fitbit data (through Fitbit's option to export all your data in a zip file. To my surprise, I found that many people have corrupted Intraday heart rate time series, where the heart rate is a constant value, for many consecutive samples ,as you can see in the image. Is there an explanation for this? When do these corrupted values occur, is it because the device is not worn properly? Please advise, thanks.
12-14-2020 01:29
12-14-2020 01:29
Here is the image I'm trying to show:
12-14-2020 11:54
12-14-2020 11:54
Are you sure this isn't just 'rounding'? Values are only integers.
12-14-2020 12:04
12-14-2020 12:04
Yes, values are only integers and that is exactly what Fitbit offers in their data export. An example of the format of their daily json file:
Please, can someone from Fitbit advise?
{
"dateTime" : "08/30/18 10:28:34",
"value" : {
"bpm" : 87,
"confidence" : 0
}
},{
"dateTime" : "08/30/18 10:28:39",
"value" : {
"bpm" : 78,
"confidence" : 0
}
},{
"dateTime" : "08/30/18 10:28:44",
"value" : {
"bpm" : 78,
"confidence" : 2
}
}
12-15-2020 09:27
12-15-2020 09:27
Just so I understand the problem you're describing, are you saying the heart rate between several users is exactly the same? If so, would you please private message me a few of the user ids from your graph that demonstrate they have the same heart rate values, and confirm the date that you're looking at? I understand that you're having the users export their data instead of pulling the data through the Web APIs. I can check if the data through the Web APIs is consistent with across the users.