Medical University of Vienna, Vienna, Austria.
AIT Austrian Institute of Technology GmbH, Vienna, Austria.
J Sleep Res. 2020 Oct;29(5):e12986. doi: 10.1111/jsr.12986. Epub 2020 Feb 4.
In clinical practice, the quality of polysomnographic recordings in children and patients with neurodegenerative diseases may be affected by sensor displacement and diminished total sleep time due to stress during the recording. In the present study, we investigated if contactless three-dimensional (3D) detection of periodic leg movements during sleep was comparable to polysomnography. We prospectively studied a sleep laboratory cohort from two Austrian sleep laboratories. Periodic leg movements during sleep were classified according to the standards of the World Association of Sleep Medicine and served as ground truth. Leg movements including respiratory-related events (A1) and excluding respiratory-related events (A2 and A3) were presented as A1, A2 and A3. Three-dimensional movement analysis was carried out using an algorithm developed by the Austrian Institute of Technology. Fifty-two patients (22 female, mean age 52.2 ± 15.1 years) were included. Periodic leg movement during sleep indexes were significantly higher with 3D detection compared to polysomnography (33.3 [8.1-97.2] vs. 30.7 [2.9-91.9]: +9.1%, p = .0055/27.8 [4.5-86.2] vs. 24.2 [0.00-88.7]: +8.2%, p = .0154/31.8 [8.1-89.5] vs. 29.6 [2.4-91.1]: +8.9%, p = .0129). Contactless automatic 3D analysis has the potential to detect restlessness mirrored by periodic leg movements during sleep reliably and may especially be suited for children and the elderly.
在临床实践中，由于记录过程中的压力，儿童和神经退行性疾病患者的多导睡眠记录的质量可能会受到传感器位移和总睡眠时间减少的影响。在本研究中，我们研究了非接触式三维（3D）检测睡眠期间周期性腿部运动是否与多导睡眠图相当。我们前瞻性地研究了来自两个奥地利睡眠实验室的睡眠实验室队列。根据世界睡眠医学协会的标准对睡眠期间的周期性腿部运动进行分类，并作为基准。包括呼吸相关事件的腿部运动（A1）和不包括呼吸相关事件的腿部运动（A2 和 A3）分别呈现为 A1、A2 和 A3。使用奥地利技术研究所开发的算法进行 3D 运动分析。共纳入 52 名患者（22 名女性，平均年龄 52.2±15.1 岁）。与多导睡眠图相比，3D 检测的睡眠期间周期性腿部运动指数显著更高（33.3[8.1-97.2]比 30.7[2.9-91.9]：+9.1%，p=0.0055/27.8[4.5-86.2]比 24.2[0.00-88.7]：+8.2%，p=0.0154/31.8[8.1-89.5]比 29.6[2.4-91.1]：+8.9%，p=0.0129）。非接触式自动 3D 分析有可能可靠地检测到睡眠期间周期性腿部运动所反映的不安，特别是对儿童和老年人可能更适用。
