Seismocardiography (SCG) Signal Processing Dataset

Each record in the dataset includes a timestamp to indicate the precise moment of data capture, ensuring chronological accuracy. The core attributes of each sample consist of key parameters relevant to SCG signal processing and motion artifact reduction. These parameters include the frequency of heart signals in Hertz (Hz), SCG signal values in m/s2, noise levels in m/s2, and vertical axis accelerometer data also in m/s2. These attributes are crucial for understanding the dynamics of SCG signal behavior and the impact of motion artifacts.

The dataset also includes heart rate values measured in beats per minute (BPM), representing the primary physiological indicator derived from SCG signals. This attribute is essential for assessing the accuracy of the various techniques in estimating heart rates under varying conditions of motion and noise.

This dataset serves as a valuable resource for researchers and practitioners in the field of biomedical signal processing, offering insights into the efficacy of advanced filtering techniques. By simulating real-world scenarios with varying levels of motion artifacts and noise, the dataset provides a comprehensive basis for testing and validating new methods for SCG signal enhancement and heart rate estimation.