Estimation of Clinical Parameters from Non-Invasive Radial Arterial Pulse Pressure Wave Analysis

An advanced signal processing algorithm has been implemented for extracting various time domain features and pressure varying wave morphology of a radial arterial pulse pressure wave derived from human wrist. Using these inputs, various clinical parameters like arterial stiffness index, reflection index, Augmentation index, depth of pulse, total pulse duration are estimated which provides clear picture of cardiovascular functioning. A turning point algorithm is incorporated for the detection of systolic peak and diastolic foot which is then followed by a first-derivative algorithm for identifying 2nd & 3rd reflection peaks. The final stage algorithm provides the waveform with 1st, 2nd and 3rd peak voltages which reflects pressure as well as peak index which expresses peaks duration. By continuously monitoring these parameters, a clinician or paramedic can interpret early signs of hypertension, hypo-volemia, arteriosclerosis and high & low blood pressure related abnormalities. Other parameters like stroke volume variation, detection of hemorrhage can also be estimated by further improving signal processing.