Title :
Estimation of conduction velocity distribution by regularized-least-squares method
Author :
Tu, Y.X. ; Wernsdörfer, Andreas ; Honda, Satoshi ; Tomita, Yutaka
Author_Institution :
Dept. of Instrum. Eng., Keio Univ., Yokohama, Japan
Abstract :
A novel technique for estimating the distribution of the conduction velocity of peripheral nerve fibers is described in this paper. In order to overcome the sensitivity of present methods to noisy data, a regularized-least-squares (RLS) method with a smoothing constraint and a self-adaption of regularization parameter was adopted. The simulation results demonstrated that the improved technique maybe applied in clinical diagnosis because it yielded reliable and almost undistorted results even when the simulated data are severely contaminated by noise.
Keywords :
bioelectric potentials; least mean squares methods; medical signal processing; neurophysiology; velocity measurement; clinical diagnosis; conduction velocity distribution estimation; peripheral nerve fibers; regularization parameter self-adaption; regularized-least-squares method; reliable almost undistorted results; severely noise-contaminated data; simulation results; smoothing constraint; Associate members; Clinical diagnosis; Conductors; Diseases; Instruments; Iterative methods; Nerve fibers; Resonance light scattering; Smoothing methods; Wiener filter; Animals; Body Surface Potential Mapping; Cardiac Pacing, Artificial; Least-Squares Analysis; Models, Cardiovascular; Neural Conduction; Pericardium; Reference Values; Retrospective Studies; Swine; Ventricular Fibrillation;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
