Accession Number : ADA614652


Title :   Development and Validation of a Novel Fusion Algorithm for Continuous, Accurate and Automated R-wave Detection and Calculation of Signal-Derived Metrics


Descriptive Note : Journal article


Corporate Author : ARMY INST OF SURGICAL RESEARCH FORT SAM HOUSTON TX


Personal Author(s) : Liu, Nehemiah T ; Batchinsky, Andriy I ; Cancio, Leopoldo C ; Baker, Jr, William L ; Salinas, Jose


Full Text : http://www.dtic.mil/get-tr-doc/pdf?AD=ADA614652


Report Date : Jan 2013


Pagination or Media Count : 11


Abstract : Purpose: Previous studies have shown that heart rate complexity may be a useful indicator of patient status in the critical care environment but will require continuous, accurate, and automated R-wave detection (RWD) in the electrocardiogram (ECG). Although numerous RWD algorithms exist, accurate detection remains a challenge. The purpose of this study was to develop and validate a novel fusion algorithm (Automated Electrocardiogram Selection of Peaks, or AESOP) that combines the strengths of several well-known algorithms to provide a more reliable real-time solution to the RWD problem. Materials and Methods: This study involved the ECGs of 108 prehospital patient records and 32 ECGs from a conscious sedated porcine model of hemorrhagic shock. The criterion standard for validation was manual verification of R waves. Results: For 108 human ECG records, the AESOP algorithm overall outperformed each of its component algorithms. In addition, for 32 swine ECG records, AESOP achieved an R-wave sensitivity of 97.9% and a positive predictive value of 97.5%, again outperforming its component algorithms. Conclusion: By fusing several best algorithms, AESOP uses the strengths of each algorithm to perform more robustly and reliably in real time. The AESOP algorithm will be integrated into a real-time heart rate complexity software program for decision support and triage in critically ill patients.


Descriptors :   *ALGORITHMS , *HEART RATE , ACCURACY , AUTOMATION , COMPUTER PROGRAMS , DECISION SUPPORT SYSTEMS , ELECTROCARDIOGRAPHY , HEMORRHAGIC SHOCK , NOISE , PATIENTS , VALIDATION


Subject Categories : Anatomy and Physiology
      Medicine and Medical Research
      Numerical Mathematics


Distribution Statement : APPROVED FOR PUBLIC RELEASE