About nImI

The acronym nImI was created to characterize non-Invasive and minimally-Intrusive technologies that could be used in Medical Applications to estimate Blood Pressure BP. Estimations should be performed using supervised Machine Learning (ML) algorithms requiring “big data” Training Sets (TS). The accompanied file,”Training_Set_ nImI_estimates”, is organized in eight primary sub-files containing nearly 250 dissimilar secondary sub-files with non-structured, non-invasive Cardio Vascular Data (CVD) obtained from Healthy subjects, and from Patients affected by Parkinson Disease (PK) or Diabetic Neuropathies (DN) and their controls.

For more details please refer to the Readme file.

Licencia Creative Commons
Training Set for nImI Blood Pressure estimates por Escuela de Ingeniería Civil Biomédica, Universidad de Valparaíso (Chile) se distribuye bajo una Licencia Creative Commons Atribución-NoComercial-SinDerivar 4.0 Internacional