SolicitudeSavvy:一个基于物联网的边缘智能框架,用于实时监测焦虑

P. Sundaravadivel, Parker Wilmoth, Ashton Fitzgerald
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引用次数: 2

摘要

焦虑症影响了超过18%的人口,是美国最常见的精神疾病。迫切需要用工具来区分和诊断这类疾病,并提高人们的认识,特别是在德克萨斯州东北部这样的地方,那里有150万人口,其中58%生活在农村地区。该设备的目标是使用可穿戴诊断框架SolicitudeSavvy实时诊断尽可能多的焦虑症,该框架使用物联网(IoT)等技术,互联设备的网络,来完成这样的任务。这款基于物联网的设备有两个组成部分:一个是定制的可穿戴式项链,其中包含传感器,用于收集用户日常生活中的数据;另一个是低成本的便携式系统,用于使用摄像头监控眼电(EoG)信号。部分项链可以固定在衬衫上,并在佩戴者脖子的中间打开,EoG可以固定在任何眼镜上。该设备一整天都在监视用户,甚至在他们晚上睡觉的时候。这些信息积累在物联网云中,并进行分析,以准确了解患者可能患有的疾病类型。授权人员,即医生或治疗师,可以使用这种模式来找到最适合他们的治疗方法,并最有可能解决他们的痛苦。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SolicitudeSavvy: An IoT-based Edge Intelligent Framework for Monitoring Anxiety in Real-time
Anxiety disorders affect more than 18 percent of the population and is the most common mental illnesses in the US. There is a great demand to address this emerging epidemic with tools to differentiate and diagnose such disorders, and to create awareness especially in places like NorthEast Texas which is home to 1.5 million people with 58 percent of them living in rural areas. The goal of the proposed device is to diagnose as many anxiety disorders as possible, in real-time using the diagnosing wearable framework, SolicitudeSavvy, which uses technology such as the Internet of Things (IoT), a network of interconnected devices, to accomplish such a task. The proposed IoT-based device has two components: a custom-built wearable necklace that contains sensors to collect data about the user as they go about their day and a low-cost portable system that monitors Electrooculography (EoG) signal using a camera. The partial necklace attaches to the shirt and opens halfway around the wearer's neck and the EoG can be attached to any eyewear. The device monitors the user throughout the day, and even as they go to bed at night. This information is accumulated in the IoT cloud and analyzed to see exactly what type of disorder(s) the patient may suffer from. The authorized personnel i.e. doctor or therapist, can use this pattern to find a treatment that best suits them and is most likely to resolve their affliction.
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