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Authors
Affiliations
1 Biomedical Technology Group of Defence Bio-Engineering and Electro-Medical Laboratory, Bangalore 560093, IN
2 Anna University, Chennai, IN
3 Defence Bio-Engineering and Electromedical Laboratory, Ministry of Defense, Bangalore, IN
Source
Biometrics and Bioinformatics, Vol 4, No 8 (2012), Pagination: 376-382
Abstract
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.
Keywords
Arterial Stiffness Index, Augmentation Index, Radial Arterial Pulse Pressure, Reflection Index, Turning Point Algorithm.
