多导睡眠图
睡眠(系统调用)
冲程(发动机)
医学
脑电图
相关性
物理医学与康复
睡眠阶段
睡眠开始
物理疗法
听力学
心脏病学
失眠症
精神科
计算机科学
工程类
操作系统
机械工程
数学
几何学
作者
Yuqi Wang,Yuqi Wang,Jing Zhou,Shuiping Yan,Ruixue Ye,Fubing Zha,Mingchao Zhou,Dongxia Li,Miao‐Ling Chen,Juan Zhou,Jianjun Long,Shugeng Chen,Li Wan,Yulong Wang,Yulong Wang
摘要
Polysomnography (PSG), the gold standard for sleep monitoring, remains limited by its high cost and technical complexities in operation and data analysis. The flexible electrode sleep patch (FESP) is a novel wearable frontal single-channel EEG device for rapid sleep monitoring via FP1 and FP2 sites. Although preliminary studies support its reliability in healthy individuals, its feasibility for stroke patients remains unexplored. We compared the two devices in terms of consistency, correlation, specificity, and sensitivity regarding sleep parameters, sleep structures and EEG characteristic waves in stroke survivors. Initially, a stroke-specific sleep staging algorithm was trained using recorded sleep data from 26 healthy individuals and 26 stroke patients. Subsequently, 45 stroke patients were monitored with single night-time synchronised PSG and FESP for approximately 6-8 h. Our results indicated that FESP and PSG exhibit significant agreement in sleep metrics among stroke survivors. For sleep stages, the Cohen Kappa values ranged from 0.68 to 0.83. For sleep-related metrics, Pearson correlation coefficients (PCC) ranged from 0.720 to 0.890, and intra-class correlation coefficients (ICC) ranged from 0.661 to 0.889. The specificity of Deep stages was 95.76% with high accuracy of 93.79%. FESP offers a clinically viable alternative for initial sleep assessment, with significant potential to enhance the diagnosis and management of stroke-related sleep disorders.
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