The study focuses on the Photoplethysmogram (PPG) signal, which is important for assessing various health parameters like heart rate and blood pressure, but requires high-quality signals to be accurate.
It addresses the challenge of muscle artifacts in PPG signals from fitness devices and smartphones, highlighting the need for a signal quality assessment before analysis.
The authors propose an efficient quality-checking algorithm suitable for edge devices, such as smartwatches, which has shown high accuracy in noisy environments and improved heart rate calculations in smartphone applications.