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.

本数据集系一项研究的重要组成部分，旨在探究多种活动（如静坐、深呼吸、行走和打字）中可穿戴光学心率传感器的误差来源。原始研究对包括肤色、信号延迟和设备类型在内的协变量进行了考察。数据集中包含了由心电图（ECG）提供的心率以及研究中所使用的每一款智能手表对应的心率。此外，还包括了活动类型、肤色和受试者ID。该数据集于2019年7月至8月期间记录，共包含53名参与者。数据已完全脱敏，且观测数据均实现了时间同步。