BigIdeasLab_STEP: Heart rate measurements captured by smartwatches for differing skin tones

This dataset was collected as part of a study on investigating the sources of
inaccuracy in wearable optical heart rate sensors across a variety of
activities (sitting, deep breathing, walking, and typing). The original study
examined covariates including skin tone, signal lag, and device type. The
dataset includes the heart rate given by the ECG and corresponding heart rate
given by each smartwatch used in the study. Activity, skin tone, and subject
ID are also included. This dataset was recorded in July-August 2019 and
includes 53 participants. The data is completely de-identified and
observations are time-synced.