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Of course, this database could never had come into existence without the hard work of all the students, staff and faculty. The content of this document is solely the responsibility of the authors and does not necessarily represent the official views of the NLM, the NIBIB, the NIH or Philips Medical Systems. We also acknowledge contributions by Philips Healthcare and the National Library of Medicine. This work was supported by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) of the National Institutes of Health (NIH) (grant number R01 EB001659). Gari Clifford, Li-wei Lehman, Roger Mark, Mohammed Saeed, George Moody, Daniel Scott, Ikaro Silva and Mauricio Villarroel The Laboratory for Computational Physiology, Cambridge, MA, USA, January 2009 We hope that through these URLs this database will continue to evolve and add to the growing body of open (repeatable) biomedical research. Libraries for reading these databases are also freely available. Many of the signal processing algorithms and data sets described in this guide are available from, or described in papers posted at the following URLs: Most of the algorithms posted at the above URLs have been written either in C or Matlab. Knowledge of C/C++ and/or Java may also help, but is not essential. Basic knowledge of a statistical (signal processing) package such as Matlab or R is useful. The user is expected to have a working knowledge of SQL. This user guide is intended for clinicians with some knowledge of programming and/or graduate-level researchers with knowledge of biomedical signal processing. Harvard-MIT Division of Health Sciences & Technology, Rm E25-505, 45 Carleton St., Cambridge MA 02142, USA 2 Massachusetts Institute of Technology Technology, Rm E25-505, 77 Massachusetts Av., Cambridge MA 02139, USA User Guide and Documentation for the MIMIC II Database