Non-invasive Hemodynamic Monitoring During Blood Donation for Developing Models of Early Blood Loss

NCT01448694 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 320

Last updated 2014-12-03

No results posted yet for this study

Summary

This study is part of a Phase II STTR project to develop an algorithm called CipherSensor to apply feature extraction and machine learning techniques to non-invasive hemodynamic data to identify early signs of acute blood loss. The availability of this information may help to establish required interventions for treating trauma patients and battlefield casualties.

Study hypothesis: Hemodynamic changes measured non-invasively during the blood donation process can be modeled to provide early estimations of blood loss.

Conditions

Interventions

OTHER

No treatment

No treatment, only collecting observational data.

Sponsors & Collaborators

  • United States Department of Defense

    collaborator FED
  • University of Colorado, Denver

    lead OTHER

Principal Investigators

  • Steve Moulton, MD · Children's Hospital Colorado

Eligibility

Min Age
18 Years
Max Age
89 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2011-11-30
Primary Completion
2013-10-31
Completion
2014-09-30

Countries

  • United States

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT01448694 on ClinicalTrials.gov