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Envisioned strategy for an early intervention in virus-suspected patients through non-invasive piezo- and pyro-electric-based wearable sensors

机译:设想通过非侵入式压电和热电式可穿戴传感器进行病毒可疑患者的早期干预策略

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The intervention of virus-infected persons mainly relies on diagnostic methods, and accordingly COVID-19 is not an exception. Thus, a major research direction in viral diagnosis is aligned towards biological- and biomedical-based approaches. In contrast, there is plenty of scope in wearable devices towards early intervention and continuous health status monitoring. Of particular interest, piezo- and pyro-electric wearable sensors can play a significant role by detecting physiological signals in the virus-affected patients. Remotely monitoring physiological signals, such as temperature, respiration, heart rate and other data is an added advantage, where the integration of artificial intelligence is possible. This can improve clinical decision-making paths. In this perspective, the most relevant piezo- and pyro-electric sensor-based wearable sensors for healthcare monitoring towards the early detection of virus-affected abnormalities are highlighted. To implement these types of sensors, the relevant fundamentals of piezo- and pyro-electricity are also discussed. Additionally, relevant materials and device structures are reviewed in order to understand the pros and cons, and thus further improvement can be applied according to the requirements. The envisioned strategy for the early detection of virus-suspected patients through non-invasive wearable sensors is becoming very important in non-contact-based physiological data collection, particularly in the context of the ongoing COVID-19 pandemic.
机译:病毒感染者的2019冠状病毒疾病的干预主要依赖于诊断方法,因此COVID-19也不例外。因此,病毒诊断的一个主要研究方向是基于生物学和生物医学的方法。相比之下,可穿戴设备在早期干预和持续健康状态监测方面有很大的发展空间。特别令人感兴趣的是,压电和热电可穿戴传感器可以通过检测病毒感染患者的生理信号发挥重要作用。远程监控生理信号,如温度、呼吸、心率和其他数据是一个额外的优势,这使得人工智能的集成成为可能。这可以改善临床决策路径。从这个角度来看,最相关的基于压电和热释电传感器的可穿戴式传感器将用于医疗监测,以早期检测受病毒影响的异常。为了实现这些类型的传感器,还讨论了压电和热电的相关基础。此外,为了了解优缺点,还对相关材料和器件结构进行了审查,因此可以根据要求进行进一步改进。在非接触式生理数据收集中,特别是在正在进行的COVID-19流行病的背景下,通过非侵入式可穿戴传感器早期检测病毒疑似患者的设想策略变得非常重要。

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