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首页> 外文期刊>IEEE Communications Magazine >Smart Health Solution Integrating IoT and Cloud: A Case Study of Voice Pathology Monitoring
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Smart Health Solution Integrating IoT and Cloud: A Case Study of Voice Pathology Monitoring

机译:物联网和云集成的智能健康解决方案:语音病理监测的案例研究

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摘要

The integration of the IoT and cloud technology is very important to have a better solution for an uninterrupted, secured, seamless, and ubiquitous framework. The complementary nature of the IoT and the could in terms of storage, processing, accessibility, security, service sharing, and components makes the convergence suitable for many applications. The advancement of mobile technologies adds a degree of flexibility to this solution. The health industry is one of the venues that can benefit from IoT-Cloud technology, because of the scarcity of specialized doctors and the physical movement restrictions of patients, among other factors. In this article, as a case study, we discuss the feasibility of and propose a solution for voice pathology monitoring of people using IoT-cloud. More specifically, a voice pathology detection system is proposed inside the monitoring framework using a local binary pattern on a Mel-spectrum representation of the voice signal, and an extreme learning machine classifier to detect the pathology. The proposed monitoring framework can achieve high accuracy of detection, and it is easy to use.
机译:物联网和云技术的集成对于为不间断,安全,无缝和普遍存在的框架提供更好的解决方案非常重要。物联网的互补性以及在存储,处理,可访问性,安全性,服务共享和组件方面的互补性使融合适用于许多应用。移动技术的进步为该解决方案增加了一定程度的灵活性。卫生行业是可从IoT-Cloud技术中受益的场所之一,这是因为专业医生的匮乏以及患者身体活动的限制等原因。在本文中,作为案例研究,我们讨论了IoT云的可行性并提出了一种解决方案,用于使用IoT-cloud监控人员的语音病理。更具体地,在监视框架内提出了一种语音病理学检测系统,该系统使用语音信号的Mel频谱表示上的局部二进制模式以及用于检测病理学的极限学习机分类器。所提出的监视框架可以实现高精度的检测,并且易于使用。

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