Literature DB >> 1943255

Use of discrete Hilbert transformation for automatic spike mapping: a methodological investigation.

H Witte1, M Eiselt, I Patakova, S Petranek, G Griessbach, V Krajca, M Rother.   

Abstract

On the basis of discrete Hilbert transform (DHT) realised by fast Fourier transform (FFT), a new strategy for automatic spike mapping is introduced. The further computation of the EEG time series after DHT results in the time series of the momentary power and the momentary frequency. Both are used for the solution of the main requirements of automatic spike mapping. The spike-mapping concept introduced meets the requirements of efficient automatic spike detection and also has an insensitivity with regard to EMG interference and transient signal components, a frequent cause of false positive detections. Additionally, there are advantages if the momentary power of the spike is mapped instead of the spike potential. The use of momentary power makes a combination of power spectral mapping and spike-mapping strategies possible.

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Year:  1991        PMID: 1943255     DOI: 10.1007/bf02446705

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  19 in total

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Authors:  B HELLSTROM; B KARLSSON; H MUSSBICHLER
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1963-02

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Journal:  IEEE Trans Biomed Eng       Date:  1988-01       Impact factor: 4.538

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Journal:  Electroencephalogr Clin Neurophysiol       Date:  1987-09

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Authors:  R S McLachlan; J P Girvin
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1989-02

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Authors:  B R Tharp
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1971-07

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Authors:  P Y Ktonas; W M Luoh; M L Kejariwal; E L Reilly; M A Seward
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1981-03

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Authors:  J Gotman; P Gloor
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1976-11

Review 8.  Automated analysis of abnormal electroencephalograms.

Authors:  P Y Ktonas
Journal:  Crit Rev Biomed Eng       Date:  1983

Review 9.  Automatic recognition and characterization of epileptiform discharges in the human EEG.

Authors:  J D Frost
Journal:  J Clin Neurophysiol       Date:  1985-07       Impact factor: 2.177

10.  Measurement of small time differences between EEG channels: method and application to epileptic seizure propagation.

Authors:  J Gotman
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1983-11
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  6 in total

1.  Detection and analysis of gastrointestinal sounds in normal and small bowel obstructed rats.

Authors:  H A Mansy; R H Sandler
Journal:  Med Biol Eng Comput       Date:  2000-01       Impact factor: 2.602

2.  Respiratory acoustic thoracic imaging (RATHI): assessing deterministic interpolation techniques.

Authors:  S Charleston-Villalobos; S Cortés-Rubiano; R González-Camarena; G Chi-Lem; T Aljama-Corrales
Journal:  Med Biol Eng Comput       Date:  2004-09       Impact factor: 2.602

3.  Use of adaptive Hilbert transformation for EEG segmentation and calculation of instantaneous respiration rate in neonates.

Authors:  M Arnold; A Doering; H Witte; J Dörschel; M Eisel
Journal:  J Clin Monit       Date:  1996-01

4.  Dynamic description of stochastic signal by adaptive momentary power and momentary frequency estimation and its application in analysis of biological signals.

Authors:  G Grieszbach; B Schack; P Putsche; E Bareshova; J Bolten
Journal:  Med Biol Eng Comput       Date:  1994-11       Impact factor: 2.602

5.  Rapid annotation of interictal epileptiform discharges via template matching under Dynamic Time Warping.

Authors:  J Jing; J Dauwels; T Rakthanmanon; E Keogh; S S Cash; M B Westover
Journal:  J Neurosci Methods       Date:  2016-03-02       Impact factor: 2.390

6.  Spike pattern recognition by supervised classification in low dimensional embedding space.

Authors:  Evangelia I Zacharaki; Iosif Mporas; Kyriakos Garganis; Vasileios Megalooikonomou
Journal:  Brain Inform       Date:  2016-03-16
  6 in total

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