Non-invasive Hemodynamic Monitoring During Blood Donation for Developing Models of Early Blood Loss
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.
|Study Design:||Observational Model: Case-Only
Time Perspective: Prospective
|Official Title:||Non-invasive Hemodynamic Monitoring During Blood Donation for Developing Models of Early Blood Loss.|
- Algorithm [ Time Frame: 24 months ]Mathematical model of early blood loss
|Study Start Date:||November 2011|
|Study Completion Date:||September 2014|
|Primary Completion Date:||October 2013 (Final data collection date for primary outcome measure)|
Healthy volunteers who are donating a pint of whole blood
Other: No treatment
No treatment, only collecting observational data.
Please refer to this study by its ClinicalTrials.gov identifier: NCT01448694
|United States, Colorado|
|Children's Hospital Colorado|
|Aurora, Colorado, United States, 80045|
|Principal Investigator:||Steve Moulton, MD||Children's Hospital Colorado|