Literature DB >> 14686599

Automatic analysis of electro-encephalogram sleep spindle frequency throughout the night.

E Huupponen1, S L Himanen, J Hasan, A Värri.   

Abstract

A fully automatic method to analyse electro-encephalogram (EEG) sleep spindle frequency evolution during the night was developed and tested. Twenty all-night recordings were studied from ten healthy control subjects and ten sleep apnoea patients. A total of 22,868 spindles were detected. The overall mean spindle frequency was significantly higher in the control subjects than in the apnoea patients (12.5 Hz against 11.7 Hz, respectively; p<0.004). The proposed method further identified the sleep depth cycles, and the mean spindle frequency was automatically determined inside each sleep depth cycle. In control subjects, the mean spindle frequency increased from 12.0 Hz in the first sleep depth cycle to 12.6 Hz in the fifth cycle. No such increase was observed in the sleep apnoea patients. This difference in the spindle frequency evolution was statistically significant (p<0.004). The advantage of the method is that no EEG amplitude thresholds are needed.

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Year:  2003        PMID: 14686599     DOI: 10.1007/BF02349981

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


  17 in total

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Journal:  J Sleep Res       Date:  1993-09       Impact factor: 3.981

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Journal:  Neurosci Lett       Date:  1999-01-22       Impact factor: 3.046

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Authors:  T Akgül; M Sun; R J Sclabassi; A E Cetin
Journal:  IEEE Trans Biomed Eng       Date:  2000-08       Impact factor: 4.538

4.  Spindle frequencies in sleep EEG show U-shape within first four NREM sleep episodes.

Authors:  Sari-Leena Himanen; Jussi Virkkala; Heini Huhtala; Joel Hasan
Journal:  J Sleep Res       Date:  2002-03       Impact factor: 3.981

5.  Stochastic complexity measures for physiological signal analysis.

Authors:  I A Rezek; S J Roberts
Journal:  IEEE Trans Biomed Eng       Date:  1998-09       Impact factor: 4.538

6.  Polysomnographic analysis of arousal responses in obstructive sleep apnea syndrome by means of the cyclic alternating pattern.

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Journal:  J Clin Neurophysiol       Date:  1996-03       Impact factor: 2.177

7.  Dynamic relation of sleep spindles and K-complexes to spontaneous phasic arousal in sleeping human subjects.

Authors:  P Naitoh; V Antony-Baas; A Muzet; J Ehrhart
Journal:  Sleep       Date:  1982       Impact factor: 5.849

8.  Sleep and daytime sleepiness in upper airway resistance syndrome compared to obstructive sleep apnoea syndrome.

Authors:  C Guilleminault; Y Do Kim; S Chowdhuri; M Horita; M Ohayon; C Kushida
Journal:  Eur Respir J       Date:  2001-05       Impact factor: 16.671

9.  Spindle frequency remains slow in sleep apnea patients throughout the night.

Authors:  Sari-Leena Himanen; Jussi Virkkala; Eero Huupponen; Joel Hasan
Journal:  Sleep Med       Date:  2003-05       Impact factor: 3.492

Review 10.  Sleep spindles.

Authors:  W R Jankel; E Niedermeyer
Journal:  J Clin Neurophysiol       Date:  1985-01       Impact factor: 2.177

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  8 in total

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Authors:  Martin Oswaldo Mendez; Ioanna Chouvarda; Alfonso Alba; Anna Maria Bianchi; Andrea Grassi; Edgar Arce-Santana; Guilia Milioli; Mario Giovanni Terzano; Liborio Parrino
Journal:  Med Biol Eng Comput       Date:  2015-08-08       Impact factor: 2.602

2.  Non-linear analysis of the electroencephalogram for detecting effects of low-level electromagnetic fields.

Authors:  M Bachmann; J Kalda; J Lass; V Tuulik; M Säkki; H Hinrikus
Journal:  Med Biol Eng Comput       Date:  2005-01       Impact factor: 2.602

3.  Improved computational fronto-central sleep depth parameters show differences between apnea patients and control subjects.

Authors:  E Huupponen; T Saunamäki; A Saastamoinen; A Kulkas; M Tenhunen; S-L Himanen
Journal:  Med Biol Eng Comput       Date:  2008-08-05       Impact factor: 2.602

4.  Enhanced automated sleep spindle detection algorithm based on synchrosqueezing.

Authors:  Muammar M Kabir; Reza Tafreshi; Diane B Boivin; Naim Haddad
Journal:  Med Biol Eng Comput       Date:  2015-03-17       Impact factor: 2.602

5.  Anteroposterior difference in EEG sleep depth measure is reduced in apnea patients.

Authors:  Eero Huupponen; Antti Saastamoinen; Atte Joutsen; Jussi Virkkala; Jarmo Alametsä; Joel Hasan; Alpo Värri; Sari-Leena Himanen
Journal:  J Med Syst       Date:  2005-10       Impact factor: 4.460

Review 6.  Spindle Oscillations in Sleep Disorders: A Systematic Review.

Authors:  Oren M Weiner; Thien Thanh Dang-Vu
Journal:  Neural Plast       Date:  2016-03-10       Impact factor: 3.599

7.  Spectral Power Analysis of Sleep Electroencephalography in Subjects with Different Severities of Obstructive Sleep Apnea and Healthy Controls.

Authors:  Jae Myeong Kang; Seo-Eun Cho; Kyoung-Sae Na; Seung-Gul Kang
Journal:  Nat Sci Sleep       Date:  2021-04-01

8.  Sleep Spindle Characteristics in Obstructive Sleep Apnea Syndrome (OSAS).

Authors:  Hiwa Mohammadi; Ardalan Aarabi; Mohammad Rezaei; Habibolah Khazaie; Serge Brand
Journal:  Front Neurol       Date:  2021-02-25       Impact factor: 4.003

  8 in total

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