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Using Cartesian Coordinate Systems To Create, Classify, And Retrieve Biomedical Time-Series: Applications To 24-Hour Ambulatory Blood Pressure Monitoring, Antonio Garcia, Gladys E. Maestre, John Blangero, Jesus D. Melgarejo, Julio Facelli
Using Cartesian Coordinate Systems To Create, Classify, And Retrieve Biomedical Time-Series: Applications To 24-Hour Ambulatory Blood Pressure Monitoring, Antonio Garcia, Gladys E. Maestre, John Blangero, Jesus D. Melgarejo, Julio Facelli
Research Symposium
Background: Ambulatory Blood Pressure Measurement (ABPM) allows physicians to monitor blood pressure variability under everyday living conditions and predicts clinical outcomes better than conventional blood-pressure measurement. ABPM can demonstrate mean arterial pressure (MAP) behavior over 24 hours relevant to clinical practice, such as nocturnal hypertension or increased blood pressure variability. We hypothesized that individuals with the same cardiovascular health status would have the same MAP signal (MAPs) waveform.
Methods: This study reutilizes a data subset from the IDACO Consortium to create 24-hour MAPs. We assigned all the MAPs to data matrix X, performed principal components analysis (PCA) to X, and …