Richard E Gregg

Summary

Affiliation: Philips Research

Publications

  1. doi request reprint Automated detection of ventricular pre-excitation in pediatric 12-lead ECG
    Richard E Gregg
    Advanced Algorithm Research Center, Philips Healthcare, Andover, MA, USA Electronic address
    J Electrocardiol 49:37-41. 2016
  2. doi request reprint Detection of culprit coronary lesion location in pre-hospital 12-lead ECG
    Richard E Gregg
    Advanced Algorithm Research Center, Philips Healthcare, Andover, MA, USA Electronic address
    J Electrocardiol 47:890-4. 2014
  3. doi request reprint New ST-segment elevation myocardial infarction criteria for left bundle branch block based on QRS area
    Richard E Gregg
    Advanced Algorithm Research Center, Philips Healthcare, Andover, MA, USA Electronic address
    J Electrocardiol 46:528-34. 2013
  4. doi request reprint Automated serial ECG comparison improves computerized interpretation of 12-lead ECG
    Richard E Gregg
    Advanced Algorithm Research Center, Philips Healthcare, Andover, MA 01810, USA
    J Electrocardiol 45:561-5. 2012
  5. ncbi request reprint Automated discrimination of proximal right coronary artery occlusion from middle-to-distal right coronary artery occlusion and left circumflex occlusion in ST-elevation myocardial infarction
    Richard E Gregg
    Advanced Algorithm Research Center, Philips Healthcare, Thousand Oaks, CA, USA
    J Electrocardiol 45:343-9. 2012
  6. doi request reprint What is inside the electrocardiograph?
    Richard E Gregg
    Advanced Algorithm Research Center, Philips Medical Systems, 3 Andover, MA 01810, USA
    J Electrocardiol 41:8-14. 2008
  7. doi request reprint Where do derived precordial leads fail?
    Richard E Gregg
    Advanced Algorithm Research Center, Philips Healthcare, Andover, MA 01810, USA
    J Electrocardiol 41:546-52. 2008
  8. ncbi request reprint Computerized classification of proximal occlusion in the left anterior descending coronary artery
    Richard E Gregg
    Advanced Algorithm Research Center, Philips Healthcare, Thousand Oaks, CA, USA
    J Electrocardiol 43:634-9. 2010
  9. ncbi request reprint An algorithm for QT interval monitoring in neonatal intensive care units
    Eric D Helfenbein
    Advanced Algorithm Research Center, Philips Medical Systems, Milpitas, CA, USA
    J Electrocardiol 40:S103-10. 2007
  10. doi request reprint Improvements in atrial fibrillation detection for real-time monitoring
    Saeed Babaeizadeh
    Advanced Algorithm Research Center, Philips Healthcare, 1525 Rancho Conejo Blvd, Thousand Oaks, CA 91320, USA
    J Electrocardiol 42:522-6. 2009

Detail Information

Publications15

  1. doi request reprint Automated detection of ventricular pre-excitation in pediatric 12-lead ECG
    Richard E Gregg
    Advanced Algorithm Research Center, Philips Healthcare, Andover, MA, USA Electronic address
    J Electrocardiol 49:37-41. 2016
    ..We designed and tested an automated algorithm to detect pediatric VPE optimized for low prevalence...
  2. doi request reprint Detection of culprit coronary lesion location in pre-hospital 12-lead ECG
    Richard E Gregg
    Advanced Algorithm Research Center, Philips Healthcare, Andover, MA, USA Electronic address
    J Electrocardiol 47:890-4. 2014
    ..We describe an automated system to classify lesion location as proximal LAD, LAD, right coronary artery (RCA) and left circumflex (LCx) and test the performance on pre-hospital 12-lead ECG...
  3. doi request reprint New ST-segment elevation myocardial infarction criteria for left bundle branch block based on QRS area
    Richard E Gregg
    Advanced Algorithm Research Center, Philips Healthcare, Andover, MA, USA Electronic address
    J Electrocardiol 46:528-34. 2013
    ..The purpose of this study was to introduce a new algorithm for STEMI detection in LBBB and compare the performance to three existing algorithms...
  4. doi request reprint Automated serial ECG comparison improves computerized interpretation of 12-lead ECG
    Richard E Gregg
    Advanced Algorithm Research Center, Philips Healthcare, Andover, MA 01810, USA
    J Electrocardiol 45:561-5. 2012
    ..Corrections from the previous ECG are carried forward by the serial comparison algorithm when measurements do not change significantly...
  5. ncbi request reprint Automated discrimination of proximal right coronary artery occlusion from middle-to-distal right coronary artery occlusion and left circumflex occlusion in ST-elevation myocardial infarction
    Richard E Gregg
    Advanced Algorithm Research Center, Philips Healthcare, Thousand Oaks, CA, USA
    J Electrocardiol 45:343-9. 2012
    ..We compared the performance of the new LR algorithm with the recently introduced decision tree classifier of Fiol et al (Ann Noninvasive Electrocardiol. 2004;4:383-388) in the classification of the same 3 categories...
  6. doi request reprint What is inside the electrocardiograph?
    Richard E Gregg
    Advanced Algorithm Research Center, Philips Medical Systems, 3 Andover, MA 01810, USA
    J Electrocardiol 41:8-14. 2008
    ..Good skin preparation and electrode placement reduce artifacts to eliminate the need for common usage of these filters...
  7. doi request reprint Where do derived precordial leads fail?
    Richard E Gregg
    Advanced Algorithm Research Center, Philips Healthcare, Andover, MA 01810, USA
    J Electrocardiol 41:546-52. 2008
    ..In addition, significant accuracy reduction in ECG interpretation is not strongly correlated with waveform differences between reconstructed and recorded 12-lead ECGs...
  8. ncbi request reprint Computerized classification of proximal occlusion in the left anterior descending coronary artery
    Richard E Gregg
    Advanced Algorithm Research Center, Philips Healthcare, Thousand Oaks, CA, USA
    J Electrocardiol 43:634-9. 2010
    ..Our preliminary evaluation suggests that the algorithm can detect proximal LAD occlusion as an additional interpretation to STEMI detection with similar accuracy as cardiologist readers...
  9. ncbi request reprint An algorithm for QT interval monitoring in neonatal intensive care units
    Eric D Helfenbein
    Advanced Algorithm Research Center, Philips Medical Systems, Milpitas, CA, USA
    J Electrocardiol 40:S103-10. 2007
    ..These results confirm that automated continuous QT interval monitoring in the neonatal intensive care setting is feasible and accurate and may lead to earlier recognition of the "vulnerable" infant...
  10. doi request reprint Improvements in atrial fibrillation detection for real-time monitoring
    Saeed Babaeizadeh
    Advanced Algorithm Research Center, Philips Healthcare, 1525 Rancho Conejo Blvd, Thousand Oaks, CA 91320, USA
    J Electrocardiol 42:522-6. 2009
    ....
  11. doi request reprint Philips QT interval measurement algorithms for diagnostic, ambulatory, and patient monitoring ECG applications
    Sophia H Zhou
    Advanced Algorithm Research Center, Philips Healthcare, Thousand Oaks, CA, USA
    Ann Noninvasive Electrocardiol 14:S3-8. 2009
    ..Such QT measurement techniques commonly underestimate or overestimate the "true" QT interval...
  12. ncbi request reprint An algorithm for continuous real-time QT interval monitoring
    Eric D Helfenbein
    Advanced Algorithm Research Center, Philips Medical Systems, Milpitas, CA 95035, USA
    J Electrocardiol 39:S123-7. 2006
    ..We have tested this algorithm against standard and proprietary ECG databases. Our real-time QT interval measurement algorithm proved to be stable, accurate, and able to track changing QT values...
  13. doi request reprint Technical challenges and future directions in lead reconstruction for reduced-lead systems
    Dirk Q Feild
    Advanced Algorithm Research Center, Philips Healthcare, Thousand Oaks, CA 91320, USA
    J Electrocardiol 41:466-73. 2008
    ..Understanding the technical limitations, the strengths, and the trade-offs of these reduced-lead systems will hopefully guide future research...
  14. doi request reprint Identification of exercise-induced ischemia using QRS slopes
    Reza Firoozabadi
    Advanced Algorithm Research Center, Philips Healthcare, Andover, MA, USA Electronic address
    J Electrocardiol 49:55-9. 2016
    ..Comparable performance of this method to the conventional ST-segment analysis exhibits the classification power of QRS slopes as unconventional ECG parameters contributing to improved identification of exercise-induced ischemia. ..
  15. doi request reprint Automatic detection of ECG cable interchange by analyzing both morphology and interlead relations
    Chengzong Han
    Advanced Algorithm Research Center, Philips Healthcare, Andover, MA, USA Electronic address
    J Electrocardiol 47:781-7. 2014
    ..In this study, we propose and evaluate an improved algorithm for automatic detection and classification of ECG cable interchange...