Yogananda School of Artificial Intelligence Computer and Data Sciences, Shoolini University, Bajhol Solan 173229, HP, India.
Department of Information Systems, College of Computer Science and Information Technology, King Faisal University, Al Hasa, Saudi Arabia.
Contrast Media Mol Imaging. 2022 Apr 22;2022:3224939. doi: 10.1155/2022/3224939. eCollection 2022.
The disorder of Alzheimer's (AD) is defined as a gradual deterioration of cognitive functions, such as the failure of spatial cognition and short-term memory. Besides difficulties in memory, a person with this disease encounters visual processing difficulties and even awareness and identifying of their beloved ones. Nowadays, recent technologies made this possible to connect everything that exists around us on Earth through the Internet, this is what the Internet of Things (IoT) made possible which can capture and save a massive amount of data that are considered very important and useful information which then can be valuable in training of the various state-of-the-art machine and deep learning algorithms. Assistive mobile health applications and IoT-based wearable devices are helping and supporting the ongoing health screening of a patient with AD. In the early stages of AD, the wearable devices and IoT approach aim to keep AD patients mentally active in all of life's daily activities, independent from their caregivers or any family member of the patient. These technological solutions have great potential in improving the quality of life of an AD patient as this helps to reduce pressure on healthcare and to minimize the operational cost. The purpose of this study is to explore the State-of-the-Art wearable technologies for people with AD. Significance, challenges, and limitations that arise and what will be the future of these technological solutions and their acceptance. Therefore, this study also provides the challenges and gaps in the current literature review and future directions for other researchers working in the area of developing wearable devices.
阿尔茨海默病（AD）的紊乱被定义为认知功能的逐渐恶化，例如空间认知和短期记忆的失败。除了记忆力困难之外，患有这种疾病的人还会遇到视觉处理困难，甚至意识和识别他们所爱的人。如今，现代技术使我们能够通过互联网将地球上存在的一切连接起来，这就是物联网（IoT）实现的，它可以捕获和保存大量被认为非常重要和有用的信息，这些信息在训练各种最先进的机器和深度学习算法方面非常有价值。基于物联网的辅助移动健康应用程序和可穿戴设备正在帮助和支持 AD 患者的持续健康筛查。在 AD 的早期阶段，可穿戴设备和物联网方法旨在使 AD 患者在日常生活的所有活动中保持精神活跃，而无需依赖他们的护理人员或患者的任何家庭成员。这些技术解决方案在提高 AD 患者的生活质量方面具有巨大的潜力，因为这有助于减轻医疗保健的压力，并最大限度地降低运营成本。本研究旨在探索面向 AD 患者的最先进的可穿戴技术。探讨所产生的意义、挑战和局限性，以及这些技术解决方案的未来及其接受程度。因此，本研究还提供了当前文献综述中的挑战和差距，以及为在开发可穿戴设备领域工作的其他研究人员提供了未来的方向。
