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Ubiquitous System for Stroke Monitoring and Alert

机译：无处不在的中风监测和警报系统

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Research regarding stroke indicates that short elapsed time between accident and treatment can be fundamental to allow saving patient's life and avoid future sequels. This paper describes a model for monitoring and rescue victims in situations of possible stroke occurrence. It uses stroke symptoms that can be monitored by mobile equipment, ambient intelligence and artificial neural networks. The model is independent from human operation and applications or third parties devices, therefore adding facilities to increase the quality of life for people with stroke sequel, due to constant monitoring and follow-up provided, allowing the stroke patient to consider a recovery period with greater autonomy. A prototype based on free software platforms was developed, in order to assess the accuracy and the time elapsed between the prototype to detect and to send an alert. The results indicate a positive outlook for the work continuity.
机译：关于中风的研究表明，事故和治疗之间的短时间流逝对于挽救患者生命和避免以后的后遗症至关重要。本文介绍了一种模型，用于在可能发生中风的情况下监视和营救受害者。它使用可通过移动设备，环境智能和人工神经网络监控的中风症状。该模型与人为操作和应用程序或第三方设备无关，因此，由于提供了持续的监控和跟踪功能，因此增加了设施以提高中风后遗症患者的生活质量，使中风患者可以考虑更长的恢复期自治。开发了基于自由软件平台的原型，以评估准确性和原型之间进行检测和发送警报所经过的时间。结果表明工作连续性前景乐观。

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