Application of IoT-based sensing and signal processing for rehabilitation
Application of IoT-based sensing and signal processing for rehabilitation
复制标题
DOI：
10.1117/12.2622335
复制
发表时间：
2022-06
期刊：
影响因子：
--
通讯作者：
A. Moore;M. Mehrubeoglu;Aaron Mooney;L. McLauchlan
中科院分区：
文献类型：
--
作者：
A. Moore;M. Mehrubeoglu;Aaron Mooney;L. McLauchlan
物联网已经成为一种通过将日常物品连接到互联网来实现云数据共享的方法。物联网传感器进一步互连数据传输，在对象，感测数据和用户之间创建通信网络。这项工作使用配备微控制器的物联网开发板来执行传感器数据收集，融合和处理，以评估人类膝盖的运动，灵活性和改进，以开发和增强可穿戴传感器设备。通过模拟运动收集信号，并通过信号处理算法进行处理，以记录和分析数据，然后可用于潜在的治疗应用。为了表征运动及其对用户的影响，目标传感器包括惯性测量单元（IMU）、压力和温度。在本文中，我们展示了一个基于Asure云的物联网环境，以及模拟膝关节运动、温度和位置变化的传感器数据收集和融合。
IoT has emerged as a method for cloud-enabled data sharing by connecting everyday objects to the internet. Further interconnecting data transmission, IoT sensors create a network of communication among objects, sensed data, and users. This work uses an IoT development board equipped with a microcontroller to perform sensor data collection, fusion, and processing to assess the motion, flexibility, and improvements of the human knee toward the development and enhancement for a wearable sensor device. The signals are collected through simulated movements and processed through signal processing algorithms to record and analyze data that can then be used for potential therapeutic applications. To characterize the motion and its effect on the user, the three sensors targeted include inertial measurement unit (IMU), pressure, and temperature. In this paper we demonstrate an Asure cloud-based IoT environment as well as sensor data collection and fusion from simulated knee joint motion, temperature and location change.