■睡眠呼吸暂停综合征(SAS)是一种严重的睡眠障碍,早期发现睡眠呼吸暂停不仅可以降低治疗成本,而且可以挽救生命。传统的多导睡眠图(PSG)被广泛认为是睡眠呼吸暂停的黄金标准诊断工具。然而,这种方法很昂贵,耗时且本质上干扰睡眠。最近的研究指出,心电图分析是一种简单有效的睡眠呼吸暂停的诊断方法,这可以有效地为医生提供诊断的帮助,减少患者的痛苦。
■为此,本文提出了一种基于LightGBM混合模型的心电信号信号对睡眠呼吸暂停的有效检测。首先,引入改进的隔离森林算法去除异常数据,解决数据样本不平衡问题。其次,通过改进的TPE(树结构ParzenEstimator)算法对LightGBM算法的参数进行优化,确定模型的最佳参数配置。最后,融合模型TPE_OptGBM用于检测睡眠呼吸暂停。在实验阶段,我们基于马尔堡菲利普斯大学提供的睡眠呼吸暂停心电图数据库验证了模型,德国。
■实验结果表明,本文提出的模型达到了95.08%的精度,精度为94.80%,召回97.51%,F1值为96.14%。
■所有这些评估指标都优于当前的主流型号,这将有助于医生的诊断过程,并为患者提供更好的医疗体验。
UNASSIGNED: Sleep apnoea syndrome (SAS) is a serious sleep disorder and early detection of sleep apnoea not only reduces treatment costs but also saves lives. Conventional polysomnography (PSG) is widely regarded as the gold standard diagnostic tool for sleep apnoea. However, this method is expensive, time-consuming and inherently disruptive to sleep. Recent studies have pointed out that ECG analysis is a simple and effective diagnostic method for sleep apnea, which can effectively provide physicians with an aid to diagnosis and reduce patients\' suffering.
UNASSIGNED: To this end, in this paper proposes a LightGBM hybrid model based on ECG signals for efficient detection of sleep apnea. Firstly, the improved Isolated Forest algorithm is introduced to remove abnormal data and solve the data sample imbalance problem. Secondly, the parameters of LightGBM algorithm are optimised by the improved TPE (Tree-structured Parzen Estimator) algorithm to determine the best parameter configuration of the model. Finally, the fusion model TPE_OptGBM is used to detect sleep apnoea. In the experimental phase, we validated the model based on the sleep apnoea ECG database provided by Phillips-University of Marburg, Germany.
UNASSIGNED: The experimental results show that the model proposed in this paper achieves an accuracy of 95.08%, a precision of 94.80%, a recall of 97.51%, and an F1 value of 96.14%.
UNASSIGNED: All of these evaluation indicators are better than the current mainstream models, which is expected to assist the doctor\'s diagnostic process and provide a better medical experience for patients.