Cerebral Haemodynamic Autoregulatory Information System Database (CHARIS DB)

First Edition, January 2017

@article{CHARISDB,
  author  = {Nam Kim, Alex Krasner, Colin Kosinski, Michael Wininger, Maria Qadri, Zachary Kappus, Shabbar Danish, and William Craelius},
  title   = {Trending autoregulatory indices during treatment for traumatic brain injury},
  journal = {Journal of clinical monitoring and computing},
  volume  = {30},
  number  = {6},
  pages   = {821-831},
  year    = {2016}
}

@article{PhysioNet,
  author    = {Goldberger, Ary L. and Amaral, Luis A. N.
               and Glass, Leon and Hausdorff, Jeffrey M.
               and Ivanov, Plamen Ch. and Mark, Roger G.
               and Mietus, Joseph E. and Moody, George B.
               and Peng, Chung-Kang and Stanley, H. Eugene},
  title     = {{PhysioBank}, {PhysioToolkit}, and {PhysioNet}:
               Components of a New Research Resource for Complex
               Physiologic Signals},
  journal   = {Circulation},
  publisher = {American Heart Association, Inc.},
  volume    = {101},
  number    = {23},
  year      = {2000},
  month     = {June},
  pages     = {e215--e220},
  doi       = {10.1161/01.CIR.101.23.e215},
  issn      = {0009-7322},
  url       = {http://circ.ahajournals.org/content/101/23/e215}
}

The CHARIS database contains multi-channel recordings of ECG, arterial blood pressure (ABP), and intracranial pressure (ICP) of patients diagnosed with traumatic brain injury (TBI). The data is contributed by members of the CHARIS project which aims to systematize the analysis of relevant physiological signals, and create data-driven algorithms to search for potential predictors of acute clinical events for patients with acute brain injury.

Data Collection

Data acquisition units were connected to patient monitors installed in surgical intensive care unit (SICU) rooms of Robert Wood Johnson Medical Center of Rutgers University, and were activated upon arrival of a patient with diagnosis of brain injury and requiring an ICP bolt/ventriculostomy. In most cases, patients were sedated and ventilated. Arterial blood pressure (ABP) was continuously monitored with an indwelling catheter, and ICP was continuously monitored with either a subarachnoid bolt or ventriculostomy. Elevations of ICP above 20 mmHg were treated with boluses of mannitol and mild hyperventilation.

Signals were acquired from the outputs of clinical monitors routinely employed in the SICU, via isolated and filtered (25 Hz cutoff) outputs from a General Electric TRAM-rac 4A. The sampling rate was 50 Hz with a resolution of 1.41 mV at ±5 V analog input range, which is equivalent to a pressure resolution of 0.14 mmHg and a dynamic range of ±500 mmHg. ICP was continuously monitored with micro transducers (Camino Direct Pressure Monitor, Camino Laboratories, San Diego, CA) that were inserted intra-parenchymally into the frontal cranium. In some patients, ICP was only available intermittently from a ventriculostomy. ABP was registered with a fluid-filled catheter in the radial artery (Arterial Line, Edwards LifeSciences Inc.). For more details, see the referenced paper.

Data Files

The data files are provided in standard WFDB format, numbered by patient number. Additional patient information is contained in the header files.

Contributors

This data was contributed by William Craelius, professor of Biomedical Engineering at Rutgers University. See also the CHARIS-GUI physiotoolkit contribution, an integrated platform for detecting intracranial hypertension events.

 Name                    Last modified      Size  Description
 Parent Directory                             -   
 RECORDS                 2017-01-09 16:21  108   list of record names
 charis9.hea             2017-01-18 13:31  260   header file
 charis8.hea             2017-01-18 13:31  179   header file
 charis7.hea             2017-01-18 13:31  224   header file
 charis6.hea             2017-01-18 13:31  236   header file
 charis5.hea             2017-01-18 13:31  240   header file
 charis4.hea             2017-01-18 13:31  235   header file
 charis3.hea             2017-01-18 13:31  241   header file
 charis2.hea             2017-01-18 13:31  243   header file
 charis13.hea            2017-01-18 13:31  245   header file
 charis12.hea            2017-01-18 13:31  245   header file
 charis11.hea            2017-01-18 13:31  237   header file
 charis10.hea            2017-01-18 13:31  181   header file
 charis1.hea             2017-01-18 13:31  247   header file
 charis9.dat             2017-01-18 13:31  176M  digitized signal(s)
 charis8.dat             2017-01-18 13:31   98M  digitized signal(s)
 charis7.dat             2017-01-18 13:31  138M  digitized signal(s)
 charis6.dat             2017-01-18 13:31   47M  digitized signal(s)
 charis5.dat             2017-01-18 13:31  206M  digitized signal(s)
 charis4.dat             2017-01-18 13:31   41M  digitized signal(s)
 charis3.dat             2017-01-18 13:30   98M  digitized signal(s)
 charis2.dat             2017-01-18 13:30  386M  digitized signal(s)
 charis13.dat            2017-01-18 13:30   81M  digitized signal(s)
 charis12.dat            2017-01-18 13:30  118M  digitized signal(s)
 charis11.dat            2017-01-18 13:30   99M  digitized signal(s)
 charis10.dat            2017-01-18 13:30  122M  digitized signal(s)
 charis1.dat             2017-01-18 13:30   70M  digitized signal(s)
 SHA256SUMS              2017-01-30 09:17  2.2K  
 SHA1SUMS                2017-01-30 09:17  1.5K  
 MD5SUMS                 2017-01-30 09:17  1.3K  
 DOI                     2017-01-23 15:50   20