rapids/docs/features/empatica-heartrate.md

Empatica Heart Rate

Sensor parameters description for [EMPATICA_HEARTRATE]:

Key	Description
[TABLE]	Name of the CSV file containing heart rate data that is compressed inside an Empatica zip file. Since these zip files are created automatically by Empatica, there is no need to change the value of this attribute.

DBDP provider

!!! info "Available time segments and platforms" - Available for all time segments

!!! info "File Sequence" bash - data/raw/{pid}/empatica_heartrate_unzipped_{zip-file}.csv # one per zip file - data/raw/{pid}/empatica_heartrate_raw_{zip-file}.csv # one per zip file - data/raw/{pid}/empatica_heartrate_joined.csv - data/raw/{pid}/empatica_heartrate_with_datetime.csv - data/interim/{pid}/empatica_heartrate_features/empatica_heartrate_{language}_{provider_key}.csv - data/processed/features/{pid}/empatica_heartrate.csv

Parameters description for [EMPATICA_HEARTRATE][PROVIDERS][DBDP]:

Key	Description
[COMPUTE]	Set to True to extract EMPATICA_HEARTRATE features from the DBDP provider
[FEATURES]	Features to be computed from heart rate intraday data, see table below

Features description for [EMPATICA_HEARTRATE][PROVIDERS][DBDP]:

Feature	Units	Description
maxhr	beats	The maximum heart rate during a time segment.
minhr	beats	The minimum heart rate during a time segment.
avghr	beats	The average heart rate during a time segment.
medianhr	beats	The median of heart rate during a time segment.
modehr	beats	The mode of heart rate during a time segment.
stdhr	beats	The standard deviation of heart rate during a time segment.
diffmaxmodehr	beats	The difference between the maximum and mode heart rate during a time segment.
diffminmodehr	beats	The difference between the mode and minimum heart rate during a time segment.
entropyhr	nats	Shannon’s entropy measurement based on heart rate during a time segment.

!!! note "Assumptions/Observations" We extract the previous features based on the average heart rate values computed in 10-second windows.