Herzog M
Klinik und Poliklinik für Hals-, Nasen-, Ohrenheilkunde, Kopf- und Halschirurgie, Universitätsklinikum Halle (Saale), Ernst-Grube-Str. 40, 06112, Halle (Saale), Deutschland.
HNO. 2012 Apr;60(4):300-7. doi: 10.1007/s00106-012-2487-0.
Acoustic analyses of snoring sounds have been performed for 30 years in the diagnostic procedure for sleep disordered breathing and can be categorized according to the frequency spectrum. Snoring with dominant deep frequencies below 500 Hz is predominately caused by velar vibrations without obstruction in simple snoring. High frequency snoring above 500 Hz is caused by partial or complete obstruction of the upper airway in patients with obstructive sleep-apnea syndrome. Combined snoring noises with deep and high frequency components are still a diagnostic challenge. The human hearing is still better in rating threatening characters of snoring noises than any acoustic analysis. New approaches by means of psychoacoustic analysis might contribute to decoding the acoustic fingerprint of snoring. By applying adequate analysis algorithms acoustic screening devices might be able to shed light on the extent of sleep disordered breathing in the future. Moreover an improved topodiagnostic approach in snoring might contribute to a better outcome in the treatment of snoring.
在睡眠呼吸障碍的诊断过程中,对打鼾声音进行声学分析已有30年历史,并且可根据频谱进行分类。在单纯性打鼾中,主要由软腭振动引起、频率低于500Hz的低频鼾声占主导,此时无气道阻塞。在阻塞性睡眠呼吸暂停综合征患者中,高于500Hz的高频打鼾是由上气道部分或完全阻塞引起的。具有低频和高频成分的混合打鼾声仍然是一个诊断挑战。在评估打鼾声的威胁特征方面,人类听觉仍比任何声学分析都更具优势。通过心理声学分析的新方法可能有助于解读打鼾的声学特征。通过应用适当的分析算法,声学筛查设备未来或许能够阐明睡眠呼吸障碍的程度。此外,改进的打鼾部位诊断方法可能有助于提高打鼾治疗效果。