Evaluation of the different sleep-disordered breathing patterns of the compressed tracheal sound

Tenhunen, Mirja; Huupponen, Eero; Hasan, Joel; Heino, Otto; Himanen, Sari-Leena

doi:10.1016/j.clinph.2014.11.003

Cited by 2 publications

(1 citation statement)

References 36 publications

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“…Some researchers recorded tracheal signals from the throat to acquire the respiratory rate or set the sound sensor to the skin in a suprasternal notch to evaluate the breathing pattern in the high-frequency range [15,16]. In previous studies, the sound sensors with smaller contact areas and easier operation are applied to record the breathing sound signal for sleep breathing monitoring [17]. As described above, these abnormal breathing states of SBDs will lead to decreasing ventilation while inspiration and expiration.…”

Section: Introductionmentioning

confidence: 99%

Monitoring of Sleep Breathing States Based on Audio Sensor Utilizing Mel‐Scale Features in Home Healthcare

Fang

Liu

Jiang

et al. 2023

Journal of Healthcare Engineering

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Sleep-related breathing disorders (SBDs) will lead to poor sleep quality and increase the risk of cardiovascular and cerebrovascular diseases which may cause death in serious cases. This paper aims to detect breathing states related to SBDs by breathing sound signals. A moment waveform analysis is applied to locate and segment the breathing cycles. As the core of our study, a set of useful features of breathing signal is proposed based on Mel frequency cepstrum analysis. Finally, the normal and abnormal sleep breathing states can be distinguished by the extracted Mel-scale indexes. Young healthy testers and patients who suffered from obstructive sleep apnea are tested utilizing the proposed method. The average accuracy for detecting abnormal breathing states can reach 93.1%. It will be helpful to prevent SBDs and improve the sleep quality of home healthcare.

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Section: Introductionmentioning

confidence: 99%