A Method for Automatic Identification of Reliable Heart Rates Calculated from ECG and PPG Waveforms

Journal of the American Medical Informatics Association

Volumn 13, Issue 3, 2006, Pages 309-320

  Yu, Chenggang ^a   Liu, Zhenqiu ^a   McKenna, Thomas ^a   Reisner, Andrew T ^a   Reifman, Jaques ^a  

^a U S ARMY MEDICAL RESEARCH AND MATERIEL COMMAND   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; AUTOMATION; CALCULATION; ELECTROCARDIOGRAM; EVALUATION; HEART RATE; INFORMATION PROCESSING; PHOTOELECTRIC PLETHYSMOGRAPHY; RELIABILITY; TECHNIQUE; VITAL SIGN;

ALGORITHMS; ELECTROCARDIOGRAPHY; HEART RATE; HUMANS; PHOTOPLETHYSMOGRAPHY; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 33646529849     PISSN: 10675027     EISSN: None     Source Type: Journal    
DOI: 10.1197/jamia.M1925     Document Type: Article

References (20)

1. Hoyt R., Reifman J., Coster T., and Buller M. Combat medic informatics: present and future. Proc AMIA Annu Symp (2002) pp. 335-9
2. Senkowski C.K., and McKenney M.G. Trauma scoring system: a review. J Am Coll Surg 189 (1999) 491-503
3. Koehler J.J., Baer L.J., Malafa S.A., Meindertsma M.A., Navitskas N.R., and Huizenga J.E. Prehospital Index: a scoring system for field triage of trauma victims. Ann Emerg Med 5 (1986) 178-182
4. Nagin V.A., and Selishchev S.V. Implementation of algorithms for identification of QRS-complexes in real-time ECG systems. Biomed Eng 35 (2001) 304-309
5. Neves J.N., Owall V., and Sornmo L. QRS detection for pacemakers in a noisy environment using a time lagged artificial neural network. Circuits Syst 3 (2001) 596-599
6. Kohler B.U., Henning C., and Orglmeister R. The principles of software QRS detection. IEEE Eng Med Biol Mag 21 (2002) 42-57
7. Vapnik V. Statistical learning theory (1998), John Wiley & Sons, New York
8. Holcomb J.B., Salinas J., McManus J.M., Miller C.C., Cooke W.H., and Convertino V.A. Manual vital-signs reliably predict need for life saving interventions in trauma patients. J Trauma Injury Infect Crit Care 59 (2005) 821-828
9. Cooke W.H., Salinas J., Convertino V.A., Ludwig D.A., Hinds D., Duke J.H., Moore F.A., and Holcomb J.B. Heart rate variability and its association with mortality in pre-hospital trauma patients: a pilot study. J Trauma Injury Infect Crit Care 60 (2006) 363-370
10. Propaq Encore Reference Guide (1998), Welch Allyn, Beaverton, OR. http://www.monitoring.welchallyn.com/products/portable/propaqencore.asp Accessed December 2004
11. Reifman J, Gunawardena J, Liu Z. Physiology analysis system. Presented at the 4th IEEE International Symposium on Signal Processing and Information Technology, December 18-21, 2004, Rome, Italy.
12. Jané R., Blasi A., Garcìa J., and Laguna P. Evaluation of an automatic threshold based detector of waveform limits in Holter ECG with the QT database. Comput Cardiol 24 (1997) 295-298. http://www.physionet.org/physiobank/database/qtdb/eval/ Accessed December 2004
13. Signal processing toolbox for use with MATLAB (2002), The MathWorks, Natick, MA
14. Reifman J., and Lee J.C. Reactor diagnostic rule generation through statistical pattern recognition. Nucl Sci Eng 107 (1991) 291-314
15. Reifman J, Lee JC. Comparison of two inductive learning methods: a case study in failed fuel identification. Presented at the 8th Power Plant Dynamics, Control and Testing Symposium, May 27-29, 1992; Knoxville, TN.
16. Yu C., and Zavaljevski N. ActiveSVM user's manual (2003), National Laboratory, Argonne, IL
17. Jankowski S., and Oreziak A. Learning system for computer-aided ECG analysis based on support vector machines. Int J Bioelectromagnet 5 (2003) 175-176
18. Osowski S., Hoai L.T., and Markiewicz T. Support vector machine-based expert system for reliable heartbeat recognition. IEEE Trans Biomed Eng 51 (2004) 582-589
19. Li P, Chan KL, Chan YW. A mixed SVM-based hierarchical learning approach for abnormal ECG beat recognition. Presented at the 1st International Conference on Bioengineering, September 8-10, 2004, Singapore.
20. Zimmerman M.W., and Povinelli R.J. On improving the classification of myocardial ischemia using Holter ECG data. Comput Cardiol 31 (2004) 377-380