Gokul Swamy

Summary

Affiliation: GE Healthcare
Country: USA

Publications

  1. doi Calculation of forward and backward arterial waves by analysis of two pressure waveforms
    Gokul Swamy
    Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA
    IEEE Trans Biomed Eng 57:2833-9. 2010
  2. ncbi Identification of the total peripheral resistance baroreflex impulse response from spontaneous hemodynamic variability: validation by chronic arterial baroreceptor denervation
    Xiaoxiao Chen
    Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA
    Conf Proc IEEE Eng Med Biol Soc 2007:1051-4. 2007
  3. ncbi Blind identification of the central aortic pressure waveform from multiple peripheral arterial pressure waveforms
    Gokul Swamy
    Dept of Electr and Comput Eng, Michigan State Univ, East Lansing, MI 48824, USA
    Conf Proc IEEE Eng Med Biol Soc 1:1822-5. 2006
  4. doi An adaptive transfer function for deriving the aortic pressure waveform from a peripheral artery pressure waveform
    Gokul Swamy
    Dept of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824 1226, USA
    Am J Physiol Heart Circ Physiol 297:H1956-63. 2009
  5. doi Estimation of the aortic pressure waveform from a radial artery pressure waveform via an adaptive transfer function: Feasibility demonstration in swine
    Gokul Swamy
    Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA
    Conf Proc IEEE Eng Med Biol Soc 2009:2362-4. 2009
  6. doi Continuous left ventricular ejection fraction monitoring by aortic pressure waveform analysis
    Gokul Swamy
    Department of Electrical and Computer Engineering, Michigan State University, 2120 Engineering Building, East Lansing, MI 48824, USA
    Ann Biomed Eng 37:1055-68. 2009
  7. doi Estimation of the aortic pressure waveform from a peripheral artery pressure waveform via an adaptive transfer function
    Gokul Swamy
    Department of Electrical and Computer Engineering, East Lansing, MI 48824, USA
    Conf Proc IEEE Eng Med Biol Soc 2008:1385-8. 2008
  8. doi Quantification of forward and backward arterial waves by model-based analysis of aortic and femoral artery pressure waveforms
    Gokul Swamy
    Department of Electrical and Computer Engineering, East Lansing, MI 48824, USA
    Conf Proc IEEE Eng Med Biol Soc 2008:817-20. 2008
  9. doi Estimation of the aortic pressure waveform and beat-to-beat relative cardiac output changes from multiple peripheral artery pressure waveforms
    Gokul Swamy
    Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA
    IEEE Trans Biomed Eng 55:1521-9. 2008
  10. ncbi Continuous ejection fraction estimation by model-based analysis of an aortic pressure waveform: comparison to echocardiography
    Gokul Swamy
    Department of Electrical and Computer Engineering, East Lansing, MI 48824 USA
    Conf Proc IEEE Eng Med Biol Soc 2007:963-6. 2007

Detail Information

Publications12

  1. doi Calculation of forward and backward arterial waves by analysis of two pressure waveforms
    Gokul Swamy
    Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA
    IEEE Trans Biomed Eng 57:2833-9. 2010
    ..The time delay between the waves in the central aorta was 175 ± 14 ms during baseline. This delay varied by ±∼25% and was inversely related to mean pressure...
  2. ncbi Identification of the total peripheral resistance baroreflex impulse response from spontaneous hemodynamic variability: validation by chronic arterial baroreceptor denervation
    Xiaoxiao Chen
    Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA
    Conf Proc IEEE Eng Med Biol Soc 2007:1051-4. 2007
    ..Our results show that the technique correctly predicted the alterations in TPR baroreflex functioning that are known to occur following the baroreceptor denervation...
  3. ncbi Blind identification of the central aortic pressure waveform from multiple peripheral arterial pressure waveforms
    Gokul Swamy
    Dept of Electr and Comput Eng, Michigan State Univ, East Lansing, MI 48824, USA
    Conf Proc IEEE Eng Med Biol Soc 1:1822-5. 2006
    ..8%. Potential clinical applications of the technique may include critical care monitoring with respect to invasive catheter systems and emergency and home monitoring with respect to non-invasive arterial pressure transducers...
  4. doi An adaptive transfer function for deriving the aortic pressure waveform from a peripheral artery pressure waveform
    Gokul Swamy
    Dept of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824 1226, USA
    Am J Physiol Heart Circ Physiol 297:H1956-63. 2009
    ..6, 17.1, and 20.3 mmHg) and the AP waveforms derived by two previously proposed transfer functions developed with a subset of the same canine data (corresponding errors of, on average, 5.0, 6.3, and 6.7 mmHg)...
  5. doi Estimation of the aortic pressure waveform from a radial artery pressure waveform via an adaptive transfer function: Feasibility demonstration in swine
    Gokul Swamy
    Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA
    Conf Proc IEEE Eng Med Biol Soc 2009:2362-4. 2009
    ..1 and 4.8 mmHg) than the two unprocessed PAP waveforms (9.1 and 8.1 mmHg) and a previous GTF technique trained on a subset of the same data (5.0 and 5.8 mmHg)...
  6. doi Continuous left ventricular ejection fraction monitoring by aortic pressure waveform analysis
    Gokul Swamy
    Department of Electrical and Computer Engineering, Michigan State University, 2120 Engineering Building, East Lansing, MI 48824, USA
    Ann Biomed Eng 37:1055-68. 2009
    ..6% and 4.1 mL, and reliable estimation of relative E (max) and beat-to-beat CO changes. These results demonstrate, perhaps for the first time, the feasibility of estimating EF from only a blood pressure waveform...
  7. doi Estimation of the aortic pressure waveform from a peripheral artery pressure waveform via an adaptive transfer function
    Gokul Swamy
    Department of Electrical and Computer Engineering, East Lansing, MI 48824, USA
    Conf Proc IEEE Eng Med Biol Soc 2008:1385-8. 2008
    ..2 mmHg. For comparison, the corresponding errors of two previously proposed generalized transfer functions trained on a subset of the same canine data were, on average, 19% larger...
  8. doi Quantification of forward and backward arterial waves by model-based analysis of aortic and femoral artery pressure waveforms
    Gokul Swamy
    Department of Electrical and Computer Engineering, East Lansing, MI 48824, USA
    Conf Proc IEEE Eng Med Biol Soc 2008:817-20. 2008
    ....
  9. doi Estimation of the aortic pressure waveform and beat-to-beat relative cardiac output changes from multiple peripheral artery pressure waveforms
    Gokul Swamy
    Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA
    IEEE Trans Biomed Eng 55:1521-9. 2008
    ..With further successful testing, the new technique may ultimately be employed for automated and less invasive monitoring of central hemodynamics in various cardiovascular patients...
  10. ncbi Continuous ejection fraction estimation by model-based analysis of an aortic pressure waveform: comparison to echocardiography
    Gokul Swamy
    Department of Electrical and Computer Engineering, East Lansing, MI 48824 USA
    Conf Proc IEEE Eng Med Biol Soc 2007:963-6. 2007
    ..We report an overall EF error of only 8.3%. With further successful testing, the technique may ultimately be utilized for continuous EF monitoring in research and clinical settings in which an aortic catheter is employed...
  11. ncbi Estimation of the total peripheral resistance baroreflex impulse response from spontaneous hemodynamic variability
    Xiaoxiao Chen
    Department of Electrical and Computer Engineering, Michigan State University, 2120 Engineering Bldg, East Lansing, MI 48824, USA
    Am J Physiol Heart Circ Physiol 294:H293-301. 2008
    ..7 +/- 0.44 to -1.8 +/- 0.2 (P < 0.05)] following the chronic intervention. Moreover, the technique yielded estimates whose values were consistent with those reported with more invasive and/or experimentally difficult methods...
  12. ncbi Blind identification of the aortic pressure waveform from multiple peripheral artery pressure waveforms
    Gokul Swamy
    Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA
    Am J Physiol Heart Circ Physiol 292:H2257-64. 2007
    ..With further successful testing, the technique may ultimately be employed for more precise monitoring and titration of therapy in, for example, critically ill and hypertension patients...