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Features of Auditory Brainstem Response Spectral Representations as Tools for ADHD-Diagnostics

Klint Bywater, Edwin (2014) In Master's Theses in Mathematical Sciences FMS820 20142
Mathematical Statistics
Abstract (Swedish)
ADHD is a psychological disorder which has become significantly
more prevalent and much debated in the last decades. This study
investigates the possibilities in developing quantitative diagnostic tools
for psychiatric assessment of ADHD based on spectral representations
of Auditory Brainstem Responses (ABR). Two different approaches
to data pre-treatment are adopted, followed by estimates of power
spectral densities, cross power spectral densities and time-frequency
distributions. From these, features are extracted and examined on
their merit as disorder-specific traits. The subject sample consists of
ABR:s from 69 individuals; 36 of which are diagnosed with ADHD and
33 healthy controls. Using a band-pass pre-processing method,... (More)
ADHD is a psychological disorder which has become significantly
more prevalent and much debated in the last decades. This study
investigates the possibilities in developing quantitative diagnostic tools
for psychiatric assessment of ADHD based on spectral representations
of Auditory Brainstem Responses (ABR). Two different approaches
to data pre-treatment are adopted, followed by estimates of power
spectral densities, cross power spectral densities and time-frequency
distributions. From these, features are extracted and examined on
their merit as disorder-specific traits. The subject sample consists of
ABR:s from 69 individuals; 36 of which are diagnosed with ADHD and
33 healthy controls. Using a band-pass pre-processing method, some
significance in difference between disease groups is found for females in
terms of dominant frequency, bandwidth, spectral purity and
spectral slope in the power spectral density estimate. (Less)
Please use this url to cite or link to this publication:
author
Klint Bywater, Edwin
supervisor
organization
course
FMS820 20142
year
type
H2 - Master's Degree (Two Years)
subject
keywords
Bioinformatics, Auditory Brainstem Response, ADHD, Quantitative Psychology, Signal Processing, Spectral Analysis, Time-Frequency Analysis, Hjorth Descriptors, Entropy
publication/series
Master's Theses in Mathematical Sciences
report number
LUTFMS-3263-2014
ISSN
1404-6342
other publication id
2014:E49
language
English
id
4647233
date added to LUP
2014-09-16 11:33:49
date last changed
2024-10-14 15:57:10
@misc{4647233,
  abstract     = {{ADHD is a psychological disorder which has become significantly
more prevalent and much debated in the last decades. This study
investigates the possibilities in developing quantitative diagnostic tools
for psychiatric assessment of ADHD based on spectral representations
of Auditory Brainstem Responses (ABR). Two different approaches
to data pre-treatment are adopted, followed by estimates of power
spectral densities, cross power spectral densities and time-frequency
distributions. From these, features are extracted and examined on
their merit as disorder-specific traits. The subject sample consists of
ABR:s from 69 individuals; 36 of which are diagnosed with ADHD and
33 healthy controls. Using a band-pass pre-processing method, some
significance in difference between disease groups is found for females in
terms of dominant frequency, bandwidth, spectral purity and
spectral slope in the power spectral density estimate.}},
  author       = {{Klint Bywater, Edwin}},
  issn         = {{1404-6342}},
  language     = {{eng}},
  note         = {{Student Paper}},
  series       = {{Master's Theses in Mathematical Sciences}},
  title        = {{Features of Auditory Brainstem Response Spectral Representations as Tools for ADHD-Diagnostics}},
  year         = {{2014}},
}