Literature DB >> 8626184

Nonlinear alignment and averaging for estimating the evoked potential.

L Gupta1, D L Molfese, R Tammana, P G Simos.   

Abstract

This paper addresses the problems associated with averaging brain responses evoked through a repetitive application of an external stimulus. In order to improve the estimate of the evoked potential (EP) through signal averaging, a method which incorporates nonlinear alignment of the EP's into the averaging operation is developed. The method makes no prior assumptions about the properties of the EP or which response in the set best characterizes the EP to be estimated. The nonlinear alignment procedure is designed to pairwise generate optimally aligned EP's by backtracking along the optimal alignment path. The nonlinear alignment and averaging operations are systematically combined to develop methods to estimate the EP. Results from a series of experiments conducted on simulated and real sets of responses show that, through nonlinear alignment and averaging, the events in the EP's are preserved and the estimates of the EP are quite robust.

Mesh:

Year:  1996        PMID: 8626184     DOI: 10.1109/10.486255

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  10 in total

1.  Estimation of evoked potentials using total least squares prony technique.

Authors:  T Akkin; S Saliu
Journal:  Med Biol Eng Comput       Date:  1998-09       Impact factor: 2.602

2.  Analysis of cardiac left-ventricular volume based on time warping averaging.

Authors:  E G Caiani; A Porta; G Baselli; M Turiel; S Muzzupappa; M Pagani; A Malliani; S Cerutti
Journal:  Med Biol Eng Comput       Date:  2002-03       Impact factor: 2.602

3.  Single-trial decoding of intended eye movement goals from lateral prefrontal cortex neural ensembles.

Authors:  Chadwick B Boulay; Florian Pieper; Matthew Leavitt; Julio Martinez-Trujillo; Adam J Sachs
Journal:  J Neurophysiol       Date:  2015-11-11       Impact factor: 2.714

4.  Tikhonov regularized solutions for improvement of signal-to-noise ratio in case of auditory-evoked potentials.

Authors:  Serap Aydin
Journal:  Med Biol Eng Comput       Date:  2008-08-21       Impact factor: 2.602

5.  Coupled neural systems underlie the production and comprehension of naturalistic narrative speech.

Authors:  Lauren J Silbert; Christopher J Honey; Erez Simony; David Poeppel; Uri Hasson
Journal:  Proc Natl Acad Sci U S A       Date:  2014-09-29       Impact factor: 11.205

6.  A Novel Method for Quantitative Analysis of C-Reactive Protein Lateral Flow Immunoassays Images via CMOS Sensor and Recurrent Neural Networks.

Authors:  Min Jing; Donal Mclaughlin; Sara E Mcnamee; Shasidran Raj; Brian Mac Namee; David Steele; Dewar Finlay; James Mclaughlin
Journal:  IEEE J Transl Eng Health Med       Date:  2021-11-23       Impact factor: 3.316

7.  Could Tailored Chirp Stimuli Benefit Measurement of the Supra-threshold Auditory Brainstem Wave-I Response?

Authors:  Jessica de Boer; Alexander Hardy; Katrin Krumbholz
Journal:  J Assoc Res Otolaryngol       Date:  2022-08-19

8.  Latency change estimation for evoked potentials: a comparison of algorithms.

Authors:  X Kong; T Oiu
Journal:  Med Biol Eng Comput       Date:  2001-03       Impact factor: 3.079

9.  Resting State fMRI Functional Connectivity Analysis Using Dynamic Time Warping.

Authors:  Regina J Meszlényi; Petra Hermann; Krisztian Buza; Viktor Gál; Zoltán Vidnyánszky
Journal:  Front Neurosci       Date:  2017-02-17       Impact factor: 4.677

10.  Fusion Models for Generalized Classification of Multi-Axial Human Movement: Validation in Sport Performance.

Authors:  Rajesh Amerineni; Lalit Gupta; Nathan Steadman; Keshwyn Annauth; Charles Burr; Samuel Wilson; Payam Barnaghi; Ravi Vaidyanathan
Journal:  Sensors (Basel)       Date:  2021-12-16       Impact factor: 3.576

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.