ABSTRACT
Measured PPG signals are often contaminated with different noises and artifacts. For clinical diagnostics, it is important to have accurate signals. Removing noises and motion artifacts from PPG signal has been actual also in previous studies. In this study, we are proposing new adaptive impulse correlated filter (AICF) improvement for plethysmographic signals. It uses ECG signal to create reference with unit impulses. All signals, which do not correlate with reference signal, will be filtered out. To show, how the filter acts with artifacts with low SNR, the experiment was conducted.
Subject(s)
Algorithms , Diagnosis, Computer-Assisted/methods , Photoplethysmography/methods , Signal Processing, Computer-Assisted , Humans , Reproducibility of Results , Sensitivity and SpecificityABSTRACT
For applications where PPG signal AC component needs to be measured without disturbances in its shape and recorded digitally with high digitalization accuracy, the step-by-step DC component eliminator is developed. This paper describes step-by-step DC component eliminator, which is utilized with analogue comparator and operational amplifier. It allows to record PPG signal without disturbances in its shape in 24-hours PPG signal monitoring system. The experiments with PPG signal have been carried out.
