Heart Rate Estimation Using an Electrocardiogram-Aided Photoplethysmography Signal Quality Assessment Framework

A non-invasive method for taking human vital signs is photoplethysmography (PPG). However, wearable technology, which is prone to artifacts, is typically used to collect PPG. Measurement accuracy will be adversely affected by artifact-induced signal corruption. For accurate measurement in this regard, a signal quality assessment (SQA) system is necessary. SQA’s design flow has historically mostly depended on the expert’s individual observations. This study introduces a signal quality evaluation system for PPG that uses an electrocardiography (ECG). The suggested SQA has a greater capacity to identify low-quality signals by leveraging the functional relationship between PPG and ECG. Lastly, we tested our system using heart rate estimation. The suggested system achieves a lower mean out-and-out error in the assessed heart rate (1.699 vs. 1.901 bpm) than the traditional methods because it has an improved rejection rate of high-error signals (0.816 vs. 0.776).