Two-dimensional spectral processing of sequential evoked potentials

A. LeBron Paige; Ö Özdamar; R. E. Delgado

doi:10.1007/BF02520080

Two-dimensional spectral processing of sequential evoked potentials

A. LeBron Paige, Ö Özdamar, R. E. Delgado

Biomedical Engineering

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

The processing of sequential evoked potentials (EPs) is investigated using two-dimensional processing techniques. Two-dimensional EP arrays or images are formed by stacking sequential recordings. Processing is accomplished in the frequency domain by 2-D low-pass filtering using Gaussian filters. Auditory brainstem responses (ABRs), which are the early auditory EPs, are used to investigate the effects of the 2-D filtering on real data. Gaussian filtering improves signal-to-noise ratios by reducing high frequency noise effectively in both intra-EP and inter-EP dimensions. Applications to intra-operative monitoring are simulated with real ABR data.

Original language	English (US)
Pages (from-to)	239-243
Number of pages	5
Journal	Medical and Biological Engineering and Computing
Volume	34
Issue number	3
DOIs	https://doi.org/10.1007/BF02520080
State	Published - May 1996

Keywords

Auditory brainstem response
Evoked potentials
Intra-operative monitoring
Spectral filtering
Two-dimensional processing

ASJC Scopus subject areas

Health Information Management
Health Informatics
Biomedical Engineering
Computer Science Applications
Computational Theory and Mathematics

Access to Document

10.1007/BF02520080

Fingerprint Dive into the research topics of 'Two-dimensional spectral processing of sequential evoked potentials'. Together they form a unique fingerprint.

Cite this

@article{012e49628ce341afb627459358513e57,

title = "Two-dimensional spectral processing of sequential evoked potentials",

abstract = "The processing of sequential evoked potentials (EPs) is investigated using two-dimensional processing techniques. Two-dimensional EP arrays or images are formed by stacking sequential recordings. Processing is accomplished in the frequency domain by 2-D low-pass filtering using Gaussian filters. Auditory brainstem responses (ABRs), which are the early auditory EPs, are used to investigate the effects of the 2-D filtering on real data. Gaussian filtering improves signal-to-noise ratios by reducing high frequency noise effectively in both intra-EP and inter-EP dimensions. Applications to intra-operative monitoring are simulated with real ABR data.",

keywords = "Auditory brainstem response, Evoked potentials, Intra-operative monitoring, Spectral filtering, Two-dimensional processing",

author = "{LeBron Paige}, A. and {\"O} {\"O}zdamar and Delgado, {R. E.}",

year = "1996",

month = may,

doi = "10.1007/BF02520080",

language = "English (US)",

volume = "34",

pages = "239--243",

journal = "Medical and Biological Engineering and Computing",

issn = "0140-0118",

publisher = "Springer Verlag",

number = "3",

}

TY - JOUR

T1 - Two-dimensional spectral processing of sequential evoked potentials

AU - LeBron Paige, A.

AU - Özdamar, Ö

AU - Delgado, R. E.

PY - 1996/5

Y1 - 1996/5

N2 - The processing of sequential evoked potentials (EPs) is investigated using two-dimensional processing techniques. Two-dimensional EP arrays or images are formed by stacking sequential recordings. Processing is accomplished in the frequency domain by 2-D low-pass filtering using Gaussian filters. Auditory brainstem responses (ABRs), which are the early auditory EPs, are used to investigate the effects of the 2-D filtering on real data. Gaussian filtering improves signal-to-noise ratios by reducing high frequency noise effectively in both intra-EP and inter-EP dimensions. Applications to intra-operative monitoring are simulated with real ABR data.

AB - The processing of sequential evoked potentials (EPs) is investigated using two-dimensional processing techniques. Two-dimensional EP arrays or images are formed by stacking sequential recordings. Processing is accomplished in the frequency domain by 2-D low-pass filtering using Gaussian filters. Auditory brainstem responses (ABRs), which are the early auditory EPs, are used to investigate the effects of the 2-D filtering on real data. Gaussian filtering improves signal-to-noise ratios by reducing high frequency noise effectively in both intra-EP and inter-EP dimensions. Applications to intra-operative monitoring are simulated with real ABR data.

KW - Auditory brainstem response

KW - Evoked potentials

KW - Intra-operative monitoring

KW - Spectral filtering

KW - Two-dimensional processing

UR - http://www.scopus.com/inward/record.url?scp=0030152596&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0030152596&partnerID=8YFLogxK

U2 - 10.1007/BF02520080

DO - 10.1007/BF02520080

M3 - Article

C2 - 8762832

AN - SCOPUS:0030152596

VL - 34

SP - 239

EP - 243

JO - Medical and Biological Engineering and Computing

JF - Medical and Biological Engineering and Computing

SN - 0140-0118

IS - 3

ER -