An Improved Method for the Estimation and Visualization of Velocity Fields from Gastric High-Resolution Electrical Mapping

被引:43
|
作者
Paskaranandavadivel, Niranchan [1 ]
O'Grady, Gregory [1 ,2 ]
Du, Peng [1 ]
Pullan, Andrew J. [1 ,3 ,4 ,5 ]
Cheng, Leo K. [1 ]
机构
[1] Univ Auckland, Auckland Bioengn Inst, Auckland 1010, New Zealand
[2] Univ Auckland, Dept Surg, Auckland 1010, New Zealand
[3] Univ Auckland, Dept Engn Sci, Auckland 1010, New Zealand
[4] Massey Univ, Riddet Inst, Palmerston North 4442, New Zealand
[5] Vanderbilt Univ, Dept Surg, Nashville, TN 37240 USA
关键词
Dysrhythmia; finite difference (FD); multielectrode; polynomial fitting; slow waves; VECTOR-FIELDS; PROPAGATION; CONDUCTION; MECHANISMS; ORIGIN; MAPS;
D O I
10.1109/TBME.2011.2181845
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
High-resolution (HR) electrical mapping is an important clinical research tool for understanding normal and abnormal gastric electrophysiology. Analyzing velocities of gastric electrical activity in a reliable and accurate manner can provide additional valuable information for quantitatively and qualitatively comparing features across and within subjects, particularly during gastric dysrhythmias. In this study, we compared three methods of estimating velocities from HR recordings to determine which method was the most reliable for use with gastric HR electrical mapping. The three methods were 1) simple finite difference (FD) 2) smoothed finite difference (FDSM), and 3) a polynomial-based method. With synthetic data, the accuracy of the simple FD method resulted in velocity errors almost twice that of the FDSM and the polynomial-based method, in the presence of activation time error up to 0.5 s. With three synthetic cases under various noise types and levels, the FDSM resulted in average speed error of 3.2% and an average angle error of 2.0 degrees and the polynomial-based method had an average speed error of 3.3% and an average angle error of 1.7 degrees. With experimental gastric slow wave recordings performed in pigs, the three methods estimated similar velocities (6.3-7.3 mm/s), but the FDSM method had a lower standard deviation in its velocity estimate than the simple FD and the polynomial-based method, leading it to be the method of choice for velocity estimation in gastric slow wave propagation. An improved method for visualizing velocity fields is also presented.
引用
收藏
页码:882 / 889
页数:8
相关论文
共 50 条
  • [41] Dielectric method of high-resolution gas hydrate estimation
    Sun, YF
    Goldberg, D
    GEOPHYSICAL RESEARCH LETTERS, 2005, 32 (04) : 1 - 4
  • [42] Acute Slow Wave Responses to High-Frequency Gastric Electrical Stimulation in Patients With Gastroparesis Defined by High-Resolution Mapping
    Angeli, Timothy R.
    Du, Peng
    Midgley, David
    Paskaranandavadivel, Niranchan
    Sathar, Shameer
    Lahr, Christopher
    Abell, Thomas L.
    Cheng, Leo K.
    O'Grady, Gregory
    NEUROMODULATION, 2016, 19 (08): : 864 - 871
  • [43] AN AUTOMATIC METHOD FOR MEASURING SOUND-VELOCITY WITH HIGH-RESOLUTION
    VONSCHICKFUS, M
    BAUMANN, T
    MELCHER, RL
    IEEE TRANSACTIONS ON SONICS AND ULTRASONICS, 1982, 29 (03): : 170 - 170
  • [44] HIGH-RESOLUTION VECTOR VELOCITY DETERMINATIONS FROM THE DYNASONDE
    WRIGHT, JW
    PITTEWAY, MLV
    JOURNAL OF ATMOSPHERIC AND TERRESTRIAL PHYSICS, 1994, 56 (08): : 961 - 977
  • [45] 4DEgo: ego-velocity estimation from high-resolution radar data
    Rai, Prashant Kumar
    Strokina, Nataliya
    Ghabcheloo, Reza
    FRONTIERS IN SIGNAL PROCESSING, 2023, 3
  • [46] Bayesian estimation of subpixel-resolution motion fields and high-resolution video stills
    Schultz, RR
    Stevenson, RL
    INTERNATIONAL CONFERENCE ON IMAGE PROCESSING - PROCEEDINGS, VOL III, 1997, : 62 - 65
  • [47] Estimation of conduction velocity vector fields from epicardial mapping data
    Bayly, PV
    KenKnight, BH
    Rogers, JM
    Hillsley, RE
    Ideker, RE
    Smith, WM
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 1998, 45 (05) : 563 - 571
  • [48] High-resolution optical velocity fields of 11 low surface brightness galaxies
    De Naray, Rachel Kuzio
    McGaugh, Stacy S.
    De Blok, W. J. G.
    Bosma, A.
    ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES, 2006, 165 (02): : 461 - 479
  • [49] AUTOMATIC METHOD OF COMPILATION AND MAPPING OF HIGH-RESOLUTION AEROMAGNETIC DATA
    REFORD, MS
    GEOPHYSICS, 1972, 37 (03) : 544 - &
  • [50] Efficient method for high-resolution visual field mapping.
    Alster, Y
    Loewenstein, A
    Zur, D
    Ullman, S
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2001, 42 (04) : S854 - S854