Electrical Engineering, Technische Universiteit Eindhoven, Eindhoven, Noord Brabant, The Netherlands.
Philips Research, Eindhoven, Noord Brabant, The Netherlands.
Physiol Meas. 2024 May 29;45(5). doi: 10.1088/1361-6579/ad4c35.
Intra-esophageal pressure (Pes) measurement is the recommended gold standard to quantify respiratory effort during sleep, but used to limited extent in clinical practice due to multiple practical drawbacks. Respiratory inductance plethysmography belts (RIP) in conjunction with oronasal airflow are the accepted substitute in polysomnographic systems (PSG) thanks to a better usability, although they are partial views on tidal volume and flow rather than true respiratory effort and are often used without calibration. In their place, the pressure variations measured non-invasively at the suprasternal notch (SSP) may provide a better measure of effort. However, this type of sensor has been validated only for respiratory events in the context of obstructive sleep apnea syndrome (OSA). We aim to provide an extensive verification of the suprasternal pressure signal against RIP belts and Pes, covering both normal breathing and respiratory events.We simultaneously acquired suprasternal (207) and esophageal pressure (20) signals along with RIP belts during a clinical PSG of 207 participants. In each signal, we detected breaths with a custom algorithm, and evaluated the SSP in terms of detection quality, breathing rate estimation, and similarity of breathing patterns against RIP and Pes. Additionally, we examined how the SSP signal may diverge from RIP and Pes in presence of respiratory events scored by a sleep technician.The SSP signal proved to be a reliable substitute for both esophageal pressure (Pes) and respiratory inductance plethysmography (RIP) in terms of breath detection, with sensitivity and positive predictive value exceeding 75%, and low error in breathing rate estimation. The SSP was also consistent with Pes (correlation of 0.72, similarity 80.8%) in patterns of increasing pressure amplitude that are common in OSA.This work provides a quantitative analysis of suprasternal pressure sensors for respiratory effort measurements.
食管内压力(Pes)测量被认为是量化睡眠期间呼吸努力的金标准,但由于多种实际缺点,在临床实践中应用有限。呼吸感应体容积描记带(RIP)与口鼻气流结合使用,是多导睡眠图系统(PSG)中的公认替代方法,因为其具有更好的可用性,尽管它们仅提供潮气量和流量的部分视图,而不是真正的呼吸努力,并且通常在未经校准的情况下使用。在它们的位置上,胸骨上切迹(SSP)处无创测量的压力变化可能提供对努力的更好测量。然而,这种类型的传感器仅在阻塞性睡眠呼吸暂停综合征(OSA)的背景下针对呼吸事件进行了验证。我们旨在对 SS 压力信号与 RIP 带和 Pes 进行广泛验证,涵盖正常呼吸和呼吸事件。我们同时在 207 名参与者的临床 PSG 期间同时采集了胸骨上(207)和食管压力(20)信号以及 RIP 带。在每个信号中,我们使用自定义算法检测呼吸,并根据检测质量、呼吸频率估计以及与 RIP 和 Pes 的呼吸模式相似性来评估 SSP。此外,我们还检查了在睡眠技术人员评分的呼吸事件存在的情况下,SSP 信号可能如何与 RIP 和 Pes 偏离。SSP 信号在呼吸检测方面被证明是食管压力(Pes)和呼吸感应体容积描记(RIP)的可靠替代物,其灵敏度和阳性预测值超过 75%,呼吸频率估计误差低。SSP 还与 Pes(相关性 0.72,相似性 80.8%)一致,在 OSA 中常见的压力幅度增加模式。这项工作为用于呼吸努力测量的胸骨上压力传感器提供了定量分析。