Literature DB >> 2451603

Evaluation of brain-stem auditory evoked potentials using dynamic time warping.

T Picton1, M Hunt, R Mowrey, R Rodriguez, J Maru.   

Abstract

Dynamic time warping is a procedure whereby portions of a temporal sequence of values are stretched or shrunk to make it similar to another sequence. This procedure can be used to align the brain-stem auditory evoked potentials recorded from different subjects prior to averaging. The resultant warp-average more closely resembles the wave form of a typical subject than the conventional average. Dynamic time warping can also be used to compare one brain-stem auditory evoked potential to another. This comparison can show the differences that result from changes in a stimulus parameter such as intensity or repetition rate. When a patient's wave form is compared to a normal template, warping can identify the peaks in the patient's wave form that correspond most closely to the peaks in the normal template. Compared to an experienced human interpreter, warping is very accurate in identifying the waves of normal brain-stem auditory evoked potentials (error rate between 0 and 4%) and reasonably accurate in identifying the peaks in abnormal wave forms (error rate between 3 and 18%).

Entities:  

Mesh:

Year:  1988        PMID: 2451603     DOI: 10.1016/0168-5597(88)90006-8

Source DB:  PubMed          Journal:  Electroencephalogr Clin Neurophysiol        ISSN: 0013-4694


  5 in total

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Journal:  Med Biol Eng Comput       Date:  2002-03       Impact factor: 2.602

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Journal:  Front Neurosci       Date:  2015-01-13       Impact factor: 4.677

3.  Automated extraction of auditory brainstem response latencies and amplitudes by means of non-linear curve registration.

Authors:  Katrin Krumbholz; Alexander James Hardy; Jessica de Boer
Journal:  Comput Methods Programs Biomed       Date:  2020-06-10       Impact factor: 5.428

4.  Cross-species experiments reveal widespread cochlear neural damage in normal hearing.

Authors:  Hari M Bharadwaj; Alexandra R Hustedt-Mai; Hannah M Ginsberg; Kelsey M Dougherty; Vijaya Prakash Krishnan Muthaiah; Anna Hagedorn; Jennifer M Simpson; Michael G Heinz
Journal:  Commun Biol       Date:  2022-07-22

5.  P300 Detection Based on EEG Shape Features.

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  5 in total

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