James McNames

James McNames


Fourth Avenue Building 160-04
(503) 725 5390

Faculty Website: 

Ph.D. Stanford University
M.S. Stanford University
B.S. California Polytechnic State University at San Luis Obispo

Research Interests:

  • Statistical Signal Processing
  • State Space Tracking
  • Estimation Theory
  • Detection Theory
  • Inertial Navigation
  • Sensor Fusion
  • Motion Capture


  • ECE 315 Signals and Systems I
  • ECE 316 Signals and Systems II
  • EE 525 Statistical Signal Processing I: Nonparametric Estimation
  • EE 526 Statistical Signal Processing II: Linear and Adaptive Filters
  • EE 528 State Space Tracking


James McNames has been with the Electrical and Computer Engineering Department at Portland State University, Portland, OR since 1999, where he is currently serving as professor and chair. He has published over 120 peer-reviewed journal and conference papers. His primary research interest is statistical signal processing with applications to biomedical engineering. Recently his research has focused on the objective assessment and monitoring of movement disorders and technologies for quantifying human movement with wearable sensors.

He founded the Biomedical Signal Processing (BSP) Laboratory (bsp.pdx.edu) in fall 2000. The mission of the BSP Laboratory is to advance the art and science of extracting clinically significant information from physiologic signals. Members of the BSP Laboratory primarily focus on clinical projects in which the extracted information can help physicians or medical devices make better critical decisions and improve patient outcome.

Professional Affiliations:

  • Senior Member IEEE 

Selected Publications: 

  1. R. Elble, J. McNames, “Using portable transducers to measure tremor severity,” Tremor and Other Hyperkinetic Movements, accepted March 2016.  
  2. M. Mancini, M. El-Gohary, S. Pearson, J. McNames, H. Schlueter, J.G. Nutt, L.A. King, F. B. Horak, “Continuous monitoring of Parkinson's disease: Rehabilitation potential,” Neurorehabilitation, 2015, Vol. 37, No. 1, pp. 3-10 
  3. S. Kim, L. Holmstrom, J. McNames, “Tracking of rhythmical biomedical signals using the maximum a posteriori adaptive marginalized particle filter,” British Journal of Health Informatics and Monitoring, 2015, Vol. 2, No. 1, pp. 1-23. 
  4. M. El-Gohary, J. McNames, “Human joint angle estimation with inertial sensors and validation with a robot arm,” IEEE Transactions on Biomedical Engineering, 2015, Vol. 62, No. 7, pp. 1759-67. 
  5. F. Guilak, J. McNames, “A Bayesian-optimized spline representation of the electrocardiogram,” Physiological Measurement, Vol. 34, No. 11, November 2013, pp. 1467-1482, doi:10.1088/0967-3334/34/11/1467.