74 lines
6.9 KiB
Markdown
74 lines
6.9 KiB
Markdown
# Fitbit Heart Rate Intraday
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Sensor parameters description for `[FITBIT_HEARTRATE_INTRADAY]`:
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|Key | Description |
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|----------------|-----------------------------------------------------------------------------------------------------------------------------------
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|`[TABLE]`| Database table name or file path where the heart rate intraday data is stored. The configuration keys in [Device Data Source Configuration](../../setup/configuration/#device-data-source-configuration) control whether this parameter is interpreted as table or file.
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The format of the column(s) containing the Fitbit sensor data can be `JSON` or `PLAIN_TEXT`. The data in `JSON` format is obtained directly from the Fitbit API. We support `PLAIN_TEXT` in case you already parsed your data and don't have access to your participants' Fitbit accounts anymore. If your data is in `JSON` format then summary and intraday data come packed together.
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We provide examples of the input format that RAPIDS expects, note that both examples for `JSON` and `PLAIN_TEXT` are tabular and the actual format difference comes in the `fitbit_data` column (we truncate the `JSON` example for brevity).
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??? example "Example of the structure of source data"
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=== "JSON"
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|device_id |fitbit_data |
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|---------------------------------------- |--------------------------------------------------------- |
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|a748ee1a-1d0b-4ae9-9074-279a2b6ba524 |{"activities-heart":[{"dateTime":"2020-10-07","value":{"customHeartRateZones":[],"heartRateZones":[{"caloriesOut":1200.6102,"max":88,"min":31,"minutes":1058,"name":"Out of Range"},{"caloriesOut":760.3020,"max":120,"min":86,"minutes":366,"name":"Fat Burn"},{"caloriesOut":15.2048,"max":146,"min":120,"minutes":2,"name":"Cardio"},{"caloriesOut":0,"max":221,"min":148,"minutes":0,"name":"Peak"}],"restingHeartRate":72}}],"activities-heart-intraday":{"dataset":[{"time":"00:00:00","value":68},{"time":"00:01:00","value":67},{"time":"00:02:00","value":67},...],"datasetInterval":1,"datasetType":"minute"}}
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|a748ee1a-1d0b-4ae9-9074-279a2b6ba524 |{"activities-heart":[{"dateTime":"2020-10-08","value":{"customHeartRateZones":[],"heartRateZones":[{"caloriesOut":1100.1120,"max":89,"min":30,"minutes":921,"name":"Out of Range"},{"caloriesOut":660.0012,"max":118,"min":82,"minutes":361,"name":"Fat Burn"},{"caloriesOut":23.7088,"max":142,"min":108,"minutes":3,"name":"Cardio"},{"caloriesOut":0,"max":221,"min":148,"minutes":0,"name":"Peak"}],"restingHeartRate":70}}],"activities-heart-intraday":{"dataset":[{"time":"00:00:00","value":77},{"time":"00:01:00","value":75},{"time":"00:02:00","value":73},...],"datasetInterval":1,"datasetType":"minute"}}
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|a748ee1a-1d0b-4ae9-9074-279a2b6ba524 |{"activities-heart":[{"dateTime":"2020-10-09","value":{"customHeartRateZones":[],"heartRateZones":[{"caloriesOut":750.3615,"max":77,"min":30,"minutes":851,"name":"Out of Range"},{"caloriesOut":734.1516,"max":107,"min":77,"minutes":550,"name":"Fat Burn"},{"caloriesOut":131.8579,"max":130,"min":107,"minutes":29,"name":"Cardio"},{"caloriesOut":0,"max":220,"min":130,"minutes":0,"name":"Peak"}],"restingHeartRate":69}}],"activities-heart-intraday":{"dataset":[{"time":"00:00:00","value":90},{"time":"00:01:00","value":89},{"time":"00:02:00","value":88},...],"datasetInterval":1,"datasetType":"minute"}}
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=== "PLAIN_TEXT"
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All columns are mandatory, however, all except `device_id` and `local_date_time` can be empty if you don't have that data. Just have in mind that some features will be empty if some of these columns are empty.
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|device_id |local_date_time |heartrate |heartrate_zone |
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|-------------------------------------- |---------------------- |--------- |--------------- |
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|a748ee1a-1d0b-4ae9-9074-279a2b6ba524 |2020-10-07 00:00:00 |68 |outofrange |
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|a748ee1a-1d0b-4ae9-9074-279a2b6ba524 |2020-10-07 00:01:00 |67 |outofrange |
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|a748ee1a-1d0b-4ae9-9074-279a2b6ba524 |2020-10-07 00:02:00 |67 |outofrange |
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## RAPIDS provider
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!!! info "Available time segments"
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- Available for all time segments
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!!! info "File Sequence"
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```bash
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- data/raw/{pid}/fitbit_heartrate_intraday_raw.csv
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- data/raw/{pid}/fitbit_heartrate_intraday_parsed.csv
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- data/raw/{pid}/fitbit_heartrate_intraday_parsed_with_datetime.csv
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- data/interim/{pid}/fitbit_heartrate_intraday_features/fitbit_heartrate_intraday_{language}_{provider_key}.csv
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- data/processed/features/{pid}/fitbit_heartrate_intraday.csv
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```
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Parameters description for `[FITBIT_HEARTRATE_INTRADAY][PROVIDERS][RAPIDS]`:
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|Key | Description |
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|----------------|-----------------------------------------------------------------------------------------------------------------------------------
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|`[COMPUTE]` | Set to `True` to extract `FITBIT_HEARTRATE_INTRADAY` features from the `RAPIDS` provider|
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|`[FEATURES]` | Features to be computed from heart rate intraday data, see table below |
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Features description for `[FITBIT_HEARTRATE_INTRADAY][PROVIDERS][RAPIDS]`:
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|Feature |Units |Description|
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|-------------------------- |-------------- |---------------------------|
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|maxhr |beats/mins |The maximum heart rate during a time segment.
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|minhr |beats/mins |The minimum heart rate during a time segment.
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|avghr |beats/mins |The average heart rate during a time segment.
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|medianhr |beats/mins |The median of heart rate during a time segment.
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|modehr |beats/mins |The mode of heart rate during a time segment.
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|stdhr |beats/mins |The standard deviation of heart rate during a time segment.
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|diffmaxmodehr |beats/mins |The difference between the maximum and mode heart rate during a time segment.
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|diffminmodehr |beats/mins |The difference between the mode and minimum heart rate during a time segment.
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|entropyhr |nats |Shannon’s entropy measurement based on heart rate during a time segment.
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|minutesonZONE |minutes |Number of minutes the user’s heart rate fell within each `heartrate_zone` during a time segment.
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!!! note "Assumptions/Observations"
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1. There are four heart rate zones (ZONE): ``outofrange``, ``fatburn``, ``cardio``, and ``peak``. Please refer to [Fitbit documentation](https://help.fitbit.com/articles/en_US/Help_article/1565.htm) for more information about the way they are computed.
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