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An integrated Medical CPS for early detection of paroxysmal sympathetic hyperactivity

机译:用于早期发现阵发性交感亢进的集成医疗CPS

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Paroxysmal sympathetic hyperactivity (PSH) is an important clinical problem of severe traumatic brain injury (TBI) which incurs approximately 90% of all TBI-related costs. However, current detection approach is hampered by no consensus clinical diagnostic criteria, paroxysmal episode feature with complex manifestations, and already overloaded clinical activities. These limitations cause delayed recognitions which result in poor clinical outcomes. In this paper, we design an integrated Medical Cyber-Physical System (Medical CPS) for early detection of paroxysmal sympathetic hyperactivity patients. First, a formal model is proposed to describe clinical diagnostic criteria. With the formalized models employed, we implement an early detector and integrate it with revised medical device adapters into Medical CPS. Our system will monitor patient conditions automatically and continuously to relieve medical staff from the heavy burden of clinical activities and provide timely decision supports. Evaluations on 107 clinical cases extracted from medical publications demonstrate the effectiveness and the efficiency of our integrated system.
机译:阵发性交感神经功能亢进症(PSH)是严重的颅脑外伤(TBI)的重要临床问题,约占所有TBI相关费用的90%。然而,目前的检测方法没有共识性的临床诊断标准,具有复杂表现的阵发发作特征以及已经超负荷的临床活动受到阻碍。这些局限性导致识别延迟,导致临床结果差。在本文中,我们设计了一个集成的医疗网络物理系统(Medical CPS),用于及早发现阵发性交感神经亢进患者。首先,提出了描述临床诊断标准的正式模型。利用所采用的形式化模型,我们实现了早期检测器,并将其与修订后的医疗设备适配器集成到Medical CPS中。我们的系统将自动连续监测患者状况,以减轻医务人员的临床活动负担,并提供及时的决策支持。对从医学出版物中摘录的107个临床病例的评估证明了我们集成系统的有效性和效率。

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