wearables 0.11.3 (2026-01-15)

URL fixes

Fixed a bug with futile.logger that caused errors when using the package in Shiny apps.

Added extended check in aggregate_nowatch_data to not only check for the presence of activity (ACT) data, but also other common datasets like HR and TEMP. The check for ACT only caused too many false positives, as the ACT data can’t be expected to always be present in exports.

Added new function to read data from Nowatch: read_nowatch(). This function will return a list of dataframes with the data from the Nowatch. Both a zipfile and a folder are accepted as input. This function is intended for aggregated data, as the Nowatch does not provide raw data.
Added reading of aggregated data from Embrace Plus by adding a type argument in read_embrace_plus(). This argument can be set to raw or aggregated to read the raw or aggregated data from the Embrace Plus.
read_embrace_plus() gains additional argument folder to choose the folder where the data is stored. This prevents the user to have to navigate to compress the files before using this function. It is still possible to use a zip file as input with the zipfile argument.
aggregate_data() and friends (aggregate_e4_data(), aggregate_embrace_plus_data(), aggregate_nowatch()) now have a interval argument. It defaults to "1 min", but can be changed if desired.

Added read_and_process_embrace_plus() to read and process data from the Embrace Plus. This aligns with the read_and_process_e4() function for the E4.
Made general rbind_data() and aggregate_data() functions, which makes it easier to on-board other devices in the future. In the future, these functions will also be preferred to functions like rbind_e4() and aggregate_e4_data(). Currently these functions are wrappers around the more general functions, to ensure backwards compatibility.

Updated read_embrace_plus() to make the outcome more consistent with the E4. Instead of the timestamp column, the column is now named DateTime, and also the columns called values are renamed to align with E4 (e.g. TEMP instead of values).

Added a function to read in data from the Empatica Embrace Plus: read_embrace_plus(). This function will return a list of dataframes with the data from the Embrace Plus.

This is the fourth release of a package that contains tools to read and convert wearables data.

Added functions to handle empty IBI files for the Empatica E4.
ibi_analysis() New version of ibi_analysis function: This function is an updated approach for the analysis of (IBI) data.
Fixed a note on the join_eda_bin function.

Added a function to cut files in intervals over a time period.
Set the threshold for peak detection to .005 in accordance with de Looff et al. (2019).
Updated join_eda_bin: sometimes the quality_flag received NA if the function did not floor the date properly.