Adelaide Institute for Sleep Health (Flinders Health and Medical Research Institute: Sleep Health), College of Medicine and Public Health, Flinders University, Bedford Park, SA 5042, Australia.
College of Science and Engineering, Flinders University, Bedford Park, SA 5042, Australia.
Biosensors (Basel). 2023 Jul 3;13(7):703. doi: 10.3390/bios13070703.
Effective monitoring of respiratory disturbances during sleep requires a sensor capable of accurately capturing chest movements or airflow displacement. Gold-standard monitoring of sleep and breathing through polysomnography achieves this task through dedicated chest/abdomen bands, thermistors, and nasal flow sensors, and more detailed physiology, evaluations via a nasal mask, pneumotachograph, and airway pressure sensors. However, these measurement approaches can be invasive and time-consuming to perform and analyze. This work compares the performance of a non-invasive wearable stretchable morphic sensor, which does not require direct skin contact, embedded in a t-shirt worn by 32 volunteer participants (26 males, 6 females) with sleep-disordered breathing who performed a detailed, overnight in-laboratory sleep study. Direct comparison of computed respiratory parameters from morphic sensors versus traditional polysomnography had approximately 95% (95 ± 0.7) accuracy. These findings confirm that novel wearable morphic sensors provide a viable alternative to non-invasively and simultaneously capture respiratory rate and chest and abdominal motions.
有效的睡眠呼吸紊乱监测需要一种能够准确捕捉胸部运动或气流位移的传感器。通过多导睡眠图对睡眠和呼吸进行金标准监测，通过专用的胸部/腹部带、热敏电阻和鼻流量传感器以及更详细的生理学评估，通过鼻面罩、气流计和气道压力传感器来实现这一任务。然而，这些测量方法可能具有侵入性，并且执行和分析起来很耗时。这项工作比较了一种非侵入性可穿戴的可拉伸形态传感器的性能，该传感器不需要直接皮肤接触，嵌入在 32 名患有睡眠呼吸障碍的志愿者参与者（26 名男性，6 名女性）所穿的 t 恤中，他们进行了详细的、过夜的实验室睡眠研究。形态传感器与传统多导睡眠图计算出的呼吸参数的直接比较具有约 95%（95±0.7）的准确性。这些发现证实，新型可穿戴形态传感器提供了一种可行的替代方案，可以非侵入性地同时捕捉呼吸频率以及胸部和腹部运动。
