Sleep Disorders

Review Article

Computer-Assisted Diagnosis of the Sleep Apnea-Hypopnea Syndrome: A Review

Table 5

Summary of apneic event classification methods. S = snoring; H = hypopnea; N = normal breathing; OH = obstructive hypopnea; CH = central hypopnea; CA = central apnea; OA = obstructive apnea; MA = mixed apnea; N/A = not available.


Source	Method	Classes	References

NAF, thoracic breathing signal, esophageal pressure, and FOT	Amplitude based thresholding	H1, H2, OA, CA, and MA	Reisch et al. [46]

Airflow + thoracic and abdominal effort signals	Fuzzy Inference System	N, H, CA, and OA	Al-Ashmouny et al. [54]
Airflow + thoracic and abdominal effort signals	Self-advising SVM	CA, OA, and MA	Maali et al. [77]

SaO₂ + RIP	Amplitude based analysis	N, H, OA, CA, and MA	Taha et al. [55]

PPG + NAF	Pulse wave amplitude analysis	OA, CA	Sommermeyer et al. [57]

Nasal pressure + FOT signal	Amplitude based feature extraction + thresholding	N, H, OA, CA, and MA	Steltner et al. [58]

Thoracic and abdominal respiratory signals	Piecewise linear approximation + time-domain phase difference detection	N, OA, and CA	Várady et al. [59]
Thoracic and abdominal respiratory signals	Multiresolution DWT + ANN	CA, OA, and MA	Sezgin and Emin Tagluk [78]

NAF + thoracic and abdominal breathing	Breath-to-breath amplitude analysis	N, H, OA, CA, MA, and N/A	Houdt et al. [60]

NAF + Pes + Pgas signals	Hidden Markov models	N, S, CA, and OA	Al-Ani et al. [79]

Airflow + thoracic effort signals	Amplitude analysis + wavelets + Bayesian ANN	N, CA, OA, and MA	Fontenla-Romero et al. [80]

Abdominal effort signal	Multiresolution DWT + ANN	CA, OA, and MA	Tagluk et al. [81, 82]

Thoracic effort signal	Discrete wavelet decomposition + SVM RFE feature selection + combination of ANNs	CA, OA, and MA	Guijarro-Berdiñas et al. [83]

NAF, Pes	Amplitude based features + Adaboost classifier (Pes); inspiratory flow limitation detector + feature extraction + diagonal quadratic discriminant (NAF)	OH, CH	Morgenstern et al. [84]