Health monitoring system for elderly people based on Raspberry Pi

Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning Pub Date : 2023-03-17 DOI:10.1145/3590003.3590057

Qingsong Peng

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Abstract

We present a comprehensive overview of the application of Raspberry Pi in the field of health monitoring for elderly people with disabilities. Firstly we discuss the advantages of using artificial intelligence technology for health monitoring of elderly people, and the significance of using information technology devices to achieve health monitoring for the elderly, while keeping the cost of the devices low. And then we examine the development of Raspberry Pi and its advantages for health monitoring of elderly people with disabilities, such as its low cost, portability, and ease of use. After that we outline the methods of collecting data for health monitoring of elderly people, such as using sensors to measure heart rate, oxygen levels, and blood pressure, and integrating these sensors into a single device. We also discuss the implementation of a Raspberry Pi-based health monitoring system for elderly people, and the ways in which health data can be utilized to optimize the performance of the system. The work provides useful insights for those who are interested in using Raspberry Pi for health monitoring applications for elderly people with disabilities.

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基于树莓派的老年人健康监测系统

我们全面概述了树莓派在残疾老年人健康监测领域的应用。首先讨论了利用人工智能技术进行老年人健康监测的优势，以及利用信息技术设备实现老年人健康监测的意义，同时保持设备的低成本。然后我们研究了树莓派的发展及其对残疾老年人健康监测的优势，如其低成本，便携性和易用性。然后，我们概述了收集老年人健康监测数据的方法，例如使用传感器测量心率，氧气水平和血压，并将这些传感器集成到一个设备中。我们还讨论了一个基于树莓派的老年人健康监测系统的实现，以及如何利用健康数据来优化系统的性能。这项工作为那些有兴趣使用树莓派用于残疾老年人健康监测应用程序的人提供了有用的见解。

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Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning

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