Literature DB >> 18679736

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

E Huupponen1, T Saunamäki, A Saastamoinen, A Kulkas, M Tenhunen, S-L Himanen.   

Abstract

All-night EEG recordings from 12 male apnea patients and 12 age-matched healthy control subjects were studied in the present work. The spectral mean frequency was used to provide computational sleep depth curves from two frontopolar and two central EEG channels. Our previously presented computational parameters quantifying the properties of the sleep depth curves were improved. The resulting light sleep percentage (LS%) values were higher in apnea patients than in control subjects in the right central brain position (P = 0.028), in concordance to our previous work. Moreover, apnea patients showed higher LS% values in the right frontopolar position (P = 0.008). Also, apnea patients showed a smaller anteroposterior sleep depth difference than control subjects on the right hemisphere (P = 0.002). These are interesting new findings, achieved by the present methodology. Thus, the developed computational parameters were able to quantify, at least to some degree, the disruption of sleep process caused by the recurrent apneic events.

Entities:  

Mesh:

Year:  2008        PMID: 18679736     DOI: 10.1007/s11517-008-0374-3

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


  14 in total

1.  Antero-posterior EEG changes during the wakefulness-sleep transition.

Authors:  L De Gennaro; M Ferrara; G Curcio; R Cristiani
Journal:  Clin Neurophysiol       Date:  2001-10       Impact factor: 3.708

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

Authors:  E Huupponen; S L Himanen; J Hasan; A Värri
Journal:  Med Biol Eng Comput       Date:  2003-11       Impact factor: 2.602

3.  Visual assessment of selected high amplitude frontopolar slow waves of sleep: differences between healthy subjects and apnea patients.

Authors:  Sari-Leena Himanen; Atte Joutsen; Jussi Virkkala
Journal:  Clin EEG Neurosci       Date:  2004-07       Impact factor: 1.843

4.  Prefrontal cortex: links between low frequency delta EEG in sleep and neuropsychological performance in healthy, older people.

Authors:  Clare Anderson; James A Horne
Journal:  Psychophysiology       Date:  2003-05       Impact factor: 4.016

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.

Authors:  M G Terzano; L Parrino; M Boselli; M C Spaggiari; G Di Giovanni
Journal:  J Clin Neurophysiol       Date:  1996-03       Impact factor: 2.177

7.  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

8.  Topographic differences in mean computational sleep depth between healthy controls and obstructive sleep apnoea patients.

Authors:  Antti Saastamoinen; Hannu Oja; Eero Huupponen; Alpo Värri; Joel Hasan; Sari-Leena Himanen
Journal:  J Neurosci Methods       Date:  2006-05-23       Impact factor: 2.390

9.  Frontal lobe function, sleep loss and fragmented sleep.

Authors:  K Jones; Y Harrison
Journal:  Sleep Med Rev       Date:  2001-12       Impact factor: 11.609

10.  Automatic quantification of light sleep shows differences between apnea patients and healthy subjects.

Authors:  Eero Huupponen; Sari-Leena Himanen; Joel Hasan; Alpo Värri
Journal:  Int J Psychophysiol       Date:  2004-02       Impact factor: 2.997

View more
  5 in total

1.  Identification of deep sleep and awake with computational EEG measures.

Authors:  Eero Huupponen; Antti Kulkas; Antti Saastamoinen; Mirja Tenhunen; Sari-Leena Himanen
Journal:  J Med Syst       Date:  2010-01-06       Impact factor: 4.460

2.  Cross-correlation of EEG frequency bands and heart rate variability for sleep apnoea classification.

Authors:  Haslaile Abdullah; Namunu C Maddage; Irena Cosic; Dean Cvetkovic
Journal:  Med Biol Eng Comput       Date:  2010-11-03       Impact factor: 2.602

3.  Engineering better sleep.

Authors:  Ronald D Chervin; Joseph W Burns
Journal:  Med Biol Eng Comput       Date:  2011-04-13       Impact factor: 2.602

4.  New tracheal sound feature for apnoea analysis.

Authors:  A Kulkas; E Huupponen; J Virkkala; M Tenhunen; A Saastamoinen; E Rauhala; S-L Himanen
Journal:  Med Biol Eng Comput       Date:  2009-02-11       Impact factor: 2.602

5.  Electroencephalographic spectral asymmetry index for detection of depression.

Authors:  Hiie Hinrikus; Anna Suhhova; Maie Bachmann; Kaire Aadamsoo; Ulle Võhma; Jaanus Lass; Viiu Tuulik
Journal:  Med Biol Eng Comput       Date:  2009-11-13       Impact factor: 2.602

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.