J McNames

Summary

Affiliation: Portland State University
Country: USA

Publications

  1. doi request reprint Statistical model for cardiovascular signals with independent respiratory modulation for tracking pulse pressure variation
    James McNames
    Biomedical Signal Processing Laboratory, Department of Electrical and Computer Engineering, Portland State University, Portland, Oregon, USA
    Conf Proc IEEE Eng Med Biol Soc 2011:4681-4. 2011
  2. ncbi request reprint Reliability and accuracy of heart rate variability metrics versus ECG segment duration
    James McNames
    Electrical and Computer Engineering, Portland State University, P O Box 751, Portland, OR 97207 0751, USA
    Med Biol Eng Comput 44:747-56. 2006
  3. doi request reprint Statistical modeling of cardiovascular signals and parameter estimation based on the extended Kalman filter
    James McNames
    Biomedical Signal Processing Laboratory, Department of Electrical and Computer Engineering, Portland State University, OR 97201, USA
    IEEE Trans Biomed Eng 55:119-29. 2008
  4. ncbi request reprint Cardiovascular signal decomposition and estimation with the extended Kalman smoother
    J McNames
    Dept of Electr and Comput Eng, Portland State Univ, OR, USA
    Conf Proc IEEE Eng Med Biol Soc 1:3708-11. 2006
  5. ncbi request reprint Optimal rate filters for biomedical point processes
    James McNames
    director of the Biomedical Signal Processing Laboratory in the Electrical and Computer Engineering Department at Portland State University, Portland, Oregon, USA Email
    Conf Proc IEEE Eng Med Biol Soc 1:145-8. 2005
  6. ncbi request reprint Time delay and causality in biological systems using whitened cross-correlation analysis
    Mahmoud El-Gohary
    Biomed Signal Process Lab, Portland State Univ, OR, USA
    Conf Proc IEEE Eng Med Biol Soc 1:6169-72. 2006
  7. ncbi request reprint An automatic beat detection algorithm for pressure signals
    Mateo Aboy
    Electronics Engineering Technology Department, Oregon Institute of Technology, Portland, OR 97229, USA
    IEEE Trans Biomed Eng 52:1662-70. 2005
  8. ncbi request reprint Adaptive modeling and spectral estimation of nonstationary biomedical signals based on Kalman filtering
    Mateo Aboy
    Department of Electronics Engineering Technology, Oregon Institute of Technology, Portland, OR 97201, USA
    IEEE Trans Biomed Eng 52:1485-9. 2005
  9. ncbi request reprint Pulse morphology visualization and analysis with applications in cardiovascular pressure signals
    Tim Ellis
    Biomedical Signal Processing Laboratory, Electrical and Computer Engineering Department, Portland State University, 1900 SW 4th Ave, Portland, OR 97201, USA
    IEEE Trans Biomed Eng 54:1552-9. 2007
  10. ncbi request reprint Tracking tremor frequency in spike trains using the extended kalman filter
    Sunghan Kim
    Biomedical Signal Processing Laboratory, Electrical and Computer Engineering, Portland State University, Portland, Oregon, USA Email
    Conf Proc IEEE Eng Med Biol Soc 7:7576-9. 2005

Collaborators

Detail Information

Publications38

  1. doi request reprint Statistical model for cardiovascular signals with independent respiratory modulation for tracking pulse pressure variation
    James McNames
    Biomedical Signal Processing Laboratory, Department of Electrical and Computer Engineering, Portland State University, Portland, Oregon, USA
    Conf Proc IEEE Eng Med Biol Soc 2011:4681-4. 2011
    ..This improves the estimation accuracy and permits more accurate cardiovascular tracking and estimation. The proposed model is more accurate in PPV estimation applications...
  2. ncbi request reprint Reliability and accuracy of heart rate variability metrics versus ECG segment duration
    James McNames
    Electrical and Computer Engineering, Portland State University, P O Box 751, Portland, OR 97207 0751, USA
    Med Biol Eng Comput 44:747-56. 2006
    ..This indicates that most of the HRV is caused by drift and nonstationary effects. Metrics that are sensitive to low frequency components of HRV have poor repeatability and cannot be estimated accurately from short segments (<10 min)...
  3. doi request reprint Statistical modeling of cardiovascular signals and parameter estimation based on the extended Kalman filter
    James McNames
    Biomedical Signal Processing Laboratory, Department of Electrical and Computer Engineering, Portland State University, OR 97201, USA
    IEEE Trans Biomed Eng 55:119-29. 2008
    ....
  4. ncbi request reprint Cardiovascular signal decomposition and estimation with the extended Kalman smoother
    J McNames
    Dept of Electr and Comput Eng, Portland State Univ, OR, USA
    Conf Proc IEEE Eng Med Biol Soc 1:3708-11. 2006
    ..We demonstrate the algorithm's tracking capabilities with a real ABP signal...
  5. ncbi request reprint Optimal rate filters for biomedical point processes
    James McNames
    director of the Biomedical Signal Processing Laboratory in the Electrical and Computer Engineering Department at Portland State University, Portland, Oregon, USA Email
    Conf Proc IEEE Eng Med Biol Soc 1:145-8. 2005
    ..This suggests that some of the common assumptions about the properties of rate filters should be reconsidered...
  6. ncbi request reprint Time delay and causality in biological systems using whitened cross-correlation analysis
    Mahmoud El-Gohary
    Biomed Signal Process Lab, Portland State Univ, OR, USA
    Conf Proc IEEE Eng Med Biol Soc 1:6169-72. 2006
    ..Results show that in five recordings from five patients, the heart rate process lags the mean intracranial pressure...
  7. ncbi request reprint An automatic beat detection algorithm for pressure signals
    Mateo Aboy
    Electronics Engineering Technology Department, Oregon Institute of Technology, Portland, OR 97229, USA
    IEEE Trans Biomed Eng 52:1662-70. 2005
    ..The algorithm achieved a sensitivity of 99.36% and positive predictivity of 98.43% on a dataset consisting of 42,539 beats...
  8. ncbi request reprint Adaptive modeling and spectral estimation of nonstationary biomedical signals based on Kalman filtering
    Mateo Aboy
    Department of Electronics Engineering Technology, Oregon Institute of Technology, Portland, OR 97201, USA
    IEEE Trans Biomed Eng 52:1485-9. 2005
    ..We demonstrate its usefulness by a sample application involving PSD estimation of intracranial pressure signals (ICP) from patients with traumatic brain injury (TBI)...
  9. ncbi request reprint Pulse morphology visualization and analysis with applications in cardiovascular pressure signals
    Tim Ellis
    Biomedical Signal Processing Laboratory, Electrical and Computer Engineering Department, Portland State University, 1900 SW 4th Ave, Portland, OR 97201, USA
    IEEE Trans Biomed Eng 54:1552-9. 2007
    ..In addition, we demonstrate how the analysis can reveal distinctions in the relationship between morphology and several signal metrics for different patients...
  10. ncbi request reprint Tracking tremor frequency in spike trains using the extended kalman filter
    Sunghan Kim
    Biomedical Signal Processing Laboratory, Electrical and Computer Engineering, Portland State University, Portland, Oregon, USA Email
    Conf Proc IEEE Eng Med Biol Soc 7:7576-9. 2005
    ..The results demonstrate that the EKF can accurately track fluctuations in tremor frequency even though the noise in binary spike trains is not Gaussian...
  11. ncbi request reprint Residual pulse morphology visualization and analysis in pressure signals
    Tim Ellis
    Thrasher Research Fund T Ellis and J McNames director are members of the Biomedical Signal Processing Laboratory, Electrical and Computer Engineering, Portland State University, Portland, Oregon, USA Email
    Conf Proc IEEE Eng Med Biol Soc 4:3966-9. 2005
    ..Our exploratory analysis of ICP signals revealed examples of changes in pulse morphology that were independent of mean ICP. This suggests the need for further work that examines the underlying physiology responsible for pulse morphology...
  12. ncbi request reprint Intracranial pressure variation associated with changes in end-tidal CO2
    Sunghan Kim
    Biomedical Signal Processing Laboratory, Portland State University, Oregon, USA
    Conf Proc IEEE Eng Med Biol Soc 1:9-12. 2006
    ..33 mHz. We suggest that a large proportion of clinically significant ICP fluctuations could be eliminated or reduced if the patients ventilation and CO2 levels were more tightly regulated...
  13. ncbi request reprint Automatic spike detection based on adaptive template matching for extracellular neural recordings
    Sunghan Kim
    Biomedical Signal Processing Laboratory, Electrical and Computer Engineering, Portland State University, Portland, OR, USA
    J Neurosci Methods 165:165-74. 2007
    ..It is able to achieve a sensitivity of >90% with a false positive rate of <5Hz in recordings with an estimated SNR=3, and it performs better than an optimal threshold detector in recordings with an estimated SNR>2.5...
  14. ncbi request reprint Tracking tremor frequency in spike trains using the extended Kalman smoother
    Sunghan Kim
    Biomedical Signal Processing Laboratory, Department of Electrical and Computer Engineering, Portland State University, OR 97207, USA
    IEEE Trans Biomed Eng 53:1569-77. 2006
    ..The EKS frequency tracker can obtain a normalized mean squared error (NMSE) as low as 0.1 and performs much better than the conventional approach based on the Hilbert transform...
  15. ncbi request reprint Establishing causality with whitened cross-correlation analysis
    Mahmoud El-Gohary
    Biomedical Signal Processing Laboratory and the Department of Electrical and Computer Engineering, Portland State University, PO Box 751, Portland, OR 97277 0751, USA
    IEEE Trans Biomed Eng 54:2214-22. 2007
    ..We give examples of this type of analysis applied to several biomedical applications to demonstrate some of the new insights and information that can be produced by this type of analysis...
  16. doi request reprint Detecting and tracking tremor in spike trains using the rectangular model based extended Kalman smoother
    Sunghan Kim
    Biomedical Signal Processing Laboratory, Electrical and Computer Engineering, Portland State University, Portland, OR, USA
    J Neurosci Methods 188:97-104. 2010
    ..This method can be used to detect periods of statistically significant tremor in recordings with intermittent tremor...
  17. doi request reprint Pulse pressure variation estimation using a sequential Monte Carlo method
    Sunghan Kim
    Biomedical Signal Processing Laboratory at Portland State University, Oregon, USA
    Conf Proc IEEE Eng Med Biol Soc 2009:5713-6. 2009
    ..The PPV index is one of most specific and sensitive dynamic indicators of fluid responsiveness in mechanically ventilated patients. We report the assessment results of the proposed algorithm on real ABP signals...
  18. doi request reprint Multiharmonic tracking using sigma-point Kalman filter
    Sunghan Kim
    Biomedical Signal Processing Laboratory, Portland State University, Portland, Oregon, USA
    Conf Proc IEEE Eng Med Biol Soc 2008:2648-52. 2008
    ..On average, the SPKF outperformed the EKF and more accurately tracked the instantaneous frequency over a wide range of signal-to-noise (SNR) ratios...
  19. doi request reprint Joint angle tracking with inertial sensors
    Mahmoud El-Gohary
    Biomedical Signal Processing Laboratory, Department of Electrical and Computer Engineering, Portland State University, Portland, Oregon, USA
    Conf Proc IEEE Eng Med Biol Soc 2008:1068-71. 2008
    ..These algorithms can be applied to any combination of sensors, can easily handle malfunctions or the loss of some sensor inputs, and can be used in either a real-time or an off-line processing mode with higher accuracy...
  20. pmc User-guided interictal spike detection
    Mahmoud El-Gohary
    Department of Electrical and Computer Engineering, Biomedical Signal Processing Laboratory, Portland State University, Portland, Oregon, USA
    Conf Proc IEEE Eng Med Biol Soc 2008:821-4. 2008
    ..The algorithm is able to achieve an average sensitivity of 96% and an average of 4.8 false detections/ hour...
  21. doi request reprint Multiharmonic tracking using marginalized particle filters
    Sunghan Kim
    Biomedical Signal Processing Laboratory, Portland State University, USA
    Conf Proc IEEE Eng Med Biol Soc 2008:29-33. 2008
    ..The results clearly show the superior performance of the proposed multi-harmonic tracker over the EKF tracker...
  22. doi request reprint Optimal filter design to compute the mean of cardiovascular pressure signals
    Timothy Ellis
    Department of Electrical and Computer Engineering, Portland State University, Portland, OR 97201, USA
    IEEE Trans Biomed Eng 55:1399-407. 2008
    ..These filters have no more computational cost, are less sensitive to artifact, have shorter delays, and greater sensitivity to acute events...
  23. ncbi request reprint Calculation of the mean pressure with less delay for real-time clinical monitoring
    Tim Ellis
    Biomed Signal Process Lab, Electrical and Computer Engineering, Portland State Univ, OR, USA
    Conf Proc IEEE Eng Med Biol Soc 1:2880-3. 2006
    ..Reduction or elimination of this delay could permit patient monitors to display the mean in real time and permit clinicians to respond to acute events more rapidly...
  24. ncbi request reprint Power demodulation of local field potential recordings
    S Pearson
    Biomedical Signal Processing Laboratory, Department of Electrical and Computer Engineering, Portland State University, Portland, OR, USA
    Conf Proc IEEE Eng Med Biol Soc 1:1185-8. 2006
    ..80 with the common firing rate. This suggests that it may be possible to estimate the common intensity of a group neurons in recordings which are too noisy or contain too many neurons to apply spike detection or spike sorting algorithms...
  25. ncbi request reprint Update on intensive care ECG and cardiac event monitoring
    Seshadri Balaji
    Division of Pediatric Cardiology, Department of Pediatrics, Doernbecher Children s Hospital, Oregon Health and Science University, Portland, Oregon 97201, USA
    Card Electrophysiol Rev 6:190-5. 2002
    ....
  26. ncbi request reprint A novel algorithm to estimate the pulse pressure variation index deltaPP
    Mateo Aboy
    Biomedical Signal Processing Laboratory, Department of Electrical and Computer Engineering at Portland State University, 1900 SW 4th Ave, Portland, OR 97201, USA
    IEEE Trans Biomed Eng 51:2198-203. 2004
    ..The technique can be used to estimate deltaPP from ABP alone, eliminating the need for simultaneously acquiring airway pressure...
  27. ncbi request reprint A Bayesian-optimized spline representation of the electrocardiogram
    F G Guilak
    Biomedical Signal Processing Laboratory, Portland State University, Portland, OR 97201, USA
    Physiol Meas 34:1467-82. 2013
    ..This framework can easily be adapted to include additional points of interest in the ECG signal or for other biomedical detection problems on quasi-periodic signals. ..
  28. ncbi request reprint Pulse and mean intracranial pressure analysis in pediatric traumatic brain injury
    M Aboy
    Biomedical Signal Processing Laboratory, Department of Electrical and Computer Engineering at Portland State University, Portland, OR, USA
    Acta Neurochir Suppl 95:307-10. 2005
    ..We investigated the relationship between the intracranial pulse pressure (ICPpp) and the mean intracranial pressure (ICP(M)) in pediatric patients with traumatic brain injury (TBI)...
  29. ncbi request reprint Physiologic data acquisition system and database for the study of disease dynamics in the intensive care unit
    Brahm Goldstein
    Division of Pediatric Critical Care, Doernbecher Children s Hospital, Oregon Health Sciences University, Portland, USA
    Crit Care Med 31:433-41. 2003
    ..To describe a real-time, continuous physiologic data acquisition system for the study of disease dynamics in the intensive care unit...
  30. ncbi request reprint Developments in understanding neuronal spike trains and functional specializations in brain regions
    Roberto A Santiago
    NW Computational Intelligence Laboratory, System Science, Portland State University, USA
    Neural Netw 16:601-7. 2003
    ..Distinct structures within the spike trains were identified and used to build an effective brain region classifier. The extracted features upon analysis provide some insight into the 'syntactic' constraint on spike trains...
  31. ncbi request reprint Design and implementation of a portable physiologic data acquisition system
    Kevin Vinecore
    Pulmonary and Critical Care Medicine, Oregon Health and Science University, OR, USA
    Pediatr Crit Care Med 8:563-9. 2007
    ....
  32. ncbi request reprint Automatic microelectrode recording analysis and visualization of the globus pallidus interna and stereotactic trajectory
    Jon Haakon Falkenberg
    Biomedical Signal Processing Laboratory, Electrical and Computer Engineering Department, Portland State University, Portland, Oreg, USA
    Stereotact Funct Neurosurg 84:28-34. 2006
    ..mPDF and PSD estimates most accurately indicated the borders of the GPi target structure...
  33. ncbi request reprint Automatic analysis and visualization of microelectrode recording trajectories to the subthalamic nucleus: preliminary results
    Jon Haakon Falkenberg
    Biomedical Signal Processing Laboratory, Electrical and Computer Engineering Department, Portland State University, Portland, Oreg, USA
    Stereotact Funct Neurosurg 84:35-44; discussion 44-5. 2006
    ..These methods have the potential to significantly improve patient outcome by helping neurosurgeons objectively identify target structures more quickly and accurately...
  34. ncbi request reprint Electrical skin impedance at acupuncture points
    Sean Pearson
    Biomedical Signal Processing Laboratory, Portland State University, Portland, Oregon, USA
    J Altern Complement Med 13:409-18. 2007
    ..To test whether electrical skin impedance at each of three acupuncture points (APs) is significantly lower than at nearby sites on the meridian (MP) and off the meridian (NP)...
  35. ncbi request reprint Interpretation of approximate entropy: analysis of intracranial pressure approximate entropy during acute intracranial hypertension
    Roberto Hornero
    Department of Signal Theory and Communications, ETSIT, University of Valladolid 47011, Valladolid, Spain
    IEEE Trans Biomed Eng 52:1671-80. 2005
    ....
  36. ncbi request reprint Prediction of paroxysmal atrial fibrillation by analysis of atrial premature complexes
    Tran Thong
    OGI School of Science and Engineering, Oregon Health and Science University, Beaverton, OR 97006, USA
    IEEE Trans Biomed Eng 51:561-9. 2004
    ..Using the Physionet database of the Computers in Cardiology 2001 Challenge, the predictor achieved a sensitivity of 89% and a specificity of 91%...
  37. ncbi request reprint Complex analysis of intracranial hypertension using approximate entropy
    Roberto Hornero
    ETSI Telecomunicación de Valladolid, University of Valladolid, Spain
    Crit Care Med 34:87-95. 2006
    ....
  38. ncbi request reprint The individual RDH index: a novel vector index for statistical assessment of antihypertensive treatment reduction, duration, and homogeneity
    Mateo Aboy
    Bioengineering and Chronobiology Laboratories, Signal Theory and Communications Department, ETSIT, University of Vigo, Vigo, Spain
    Blood Press Monit 11:69-78. 2006
    ..The advantages of the reduction-duration-homogeneity index are demonstrated by several comparative examples...