Power spectral analysis for identifying the onset and termination of obstructive sleep apnoea events in ECG recordings

Author(s):  
Ahsan H. Khandoker ◽  
Chandan K. Karmakar ◽  
Marimuthu Palaniswami
2001 ◽  
Vol 95 (9) ◽  
pp. 759-765 ◽  
Author(s):  
C. ZAMARRÓN ◽  
P.V. ROMERO ◽  
F. GUDE ◽  
A. AMARO ◽  
J.R. RODRIGUEZ

2010 ◽  
Vol 15 (1) ◽  
pp. 121-128 ◽  
Author(s):  
Athanasios G. Xiromeritis ◽  
Apostolia A. Hatziefthimiou ◽  
Georgios M. Hadjigeorgiou ◽  
Konstantinos I. Gourgoulianis ◽  
Dimitra N. Anagnostopoulou ◽  
...  

1999 ◽  
Vol 97 (4) ◽  
pp. 467 ◽  
Author(s):  
C. ZAMARRÓN ◽  
P.V. ROMERO ◽  
J.R. RODRIGUEZ ◽  
F. GUDE

2021 ◽  
Vol 12 ◽  
Author(s):  
Shuling Liu ◽  
Jiucheng Shen ◽  
Yezhou Li ◽  
Jing Wang ◽  
Jianhua Wang ◽  
...  

Objective: To characterize electroencephalogram (EEG) power in different frequency bands during rapid eye movement (REM) sleep and non-rapid eye movement (NREM) sleep in patients with obstructive sleep apnea (OSA).Methods: Retrospective data on 151 patients were collected and divided into three groups: primary snoring group (AHI < 5/h), mild-moderate OSA group (6 ≤ AHI < 30/h), and severe OSA group (AHI ≥ 30/h). EEG recordings in the frontal, central, and occipital regions were extracted from both REM and NREM sleep, to compute the normalized spectral power densities in the delta, theta, alpha, sigma, beta, and gamma frequency bands, using Fast Fourier Transform. Correlations between the computed EEG power and PSG parameters were analyzed.Results: In NREM sleep, elevated normalized power spectral density (PSD) in the delta band was observed in the severe OSA group compared to the other two groups. In contrast, the PSD of the other frequency bands showed a corresponding decrease in the severe OSA group. In REM sleep, similar changes were observed in the frontal region. Delta band PSD was positively correlated with Apnea Hypopnea Index (AHI) (r = 0.33), longest time of apnea, oxygen desaturation index (ODI) (r = 0.34), percent sleep time below 90% SaO2 (T90%) (r = 0.30), Arousal Index (ArI) (r = 0.29), and negatively correlated with N3%, minimum oxygen saturation (minSaO2).Conclusion: Our findings provide neurophysiological evidence for pathological cortical activation during REM/NREM sleep, which may be associated with the arousals and cognitive impairments in OSA. The technique of power spectral analysis could prove a potentially useful tool in complementing traditional PSG parameters in assessing disease burden to guide therapeutic decisions.


2010 ◽  
Vol 15 (4) ◽  
pp. 837-843 ◽  
Author(s):  
Laurent Poupard ◽  
Isabelle Court-Fortune ◽  
Vincent Pichot ◽  
Florian Chouchou ◽  
Jean-Claude Barthélémy ◽  
...  

1999 ◽  
Vol 97 (4) ◽  
pp. 467-473 ◽  
Author(s):  
C. ZAMARRÓN ◽  
P. V. ROMERO ◽  
J. R. RODRIGUEZ ◽  
F. GUDE

Using spectral analysis of oximetry data, we prospectively evaluated the validity of this methodology in patients clinically suspected of suffering from obstructive sleep apnoea (OSA). A total of 233 outpatients were studied. Nocturnal oximetry was performed simultaneously with conventional polysomnography for all participants. The power density of oxygen saturation was analysed using Fast-Fourier transformation of the oximetric signal. Nocturnal oximetry test results were considered as abnormal (suspicion of OSA) if a peak in the spectrum between the period boundaries 30 and 70 s was observed. A normal test result was defined as the absence of the 30–70 s peak from the spectrum. Single-blind evaluation was performed by three independent observers, and agreement of two or more of these was considered definitive. The peak amplitude and the ratio of the area enclosed in the 30–70 s peak to the total area of the spectrum (rS) were measured. The presence of a peak has a sensitivity of 78%, a specificity of 89%, a positive predictive value of 89% and a negative predictive value of 78%. Apnoea–hypopnoea indexes were correlated significantly with peak amplitude (r = 0.74; P< 0.001) and with rS (r = 0.69; P< 0.001). For a peak amplitude threshold of 0.7%2, the sensitivity was 94% and the specificity was 65% for OSA diagnosis. Using a threshold for rS of 0.15, the sensitivity was 91% and the specificity was 67%. Thus the spectral analysis of nocturnal oximetry and identification of a peak at 30–70 s could be useful as a diagnostic technique for OSA subjects.


Sign in / Sign up

Export Citation Format

Share Document