Automatic analysis of electro-encephalogram sleep spindle frequency throughout the night
| Autor: | Eero Huupponen, Sari-Leena Himanen, Alpo Värri, Joel Hasan |
|---|---|
| Rok vydání: | 2003 |
| Předmět: |
Adult
Male Sleep Apnea Obstructive medicine.medical_specialty medicine.diagnostic_test Biomedical Engineering Electroencephalography Signal Processing Computer-Assisted Sleep spindle Middle Aged Audiology Control subjects Sleep in non-human animals Computer Science Applications Electro encephalogram Fully automatic Healthy control medicine Humans Female Sleep Stages Psychology Sleep eeg Aged |
| Zdroj: | Medical & Biological Engineering & Computing. 41:727-732 |
| ISSN: | 1741-0444 0140-0118 |
| Popis: | 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; p0.004). 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 (p0.004). The advantage of the method is that no EEG amplitude thresholds are needed. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|