Integrating Artificial Intelligence and Wearable IoT System in Long-Term Care Environments

Abstract

With the rapid advancement of information and communication technology (ICT), big data, and artificial intelligence (AI), intelligent healthcare systems have emerged, including the integration of healthcare systems with capital, the introduction of healthcare systems into long-term care institutions, and the integration of measurement data for care or exposure. These systems provide comprehensive communication and home exposure reports and enable the involvement of rehabilitation specialists and other experts. Silver technology enables the realization of health management in long-term care services, workplace care, and health applications, facilitating disease prevention and control, improving disease management, reducing home isolation, alleviating family burden in terms of nursing, and promoting health and disease control. Research and development efforts in forward-looking cross-domain precision health technology, system construction, testing, and integration are carried out. This integrated project consists of two main components. The Integrated Intelligent Long-Term Care Service Management System focuses on building a personalized care service system for the elderly, encompassing health, nutrition, diet, and health education aspects. The Wearable Internet of Things Care System primarily supports the development of portable physiological signal detection devices and electronic fences.

Artificial Intelligence in Geriatric Rehabilitation

“…For instance, if a patient's pain levels increase during a physical therapy session, AI can recommend modifications to the exercise routine or suggest immediate pain relief interventions. 14,15 AI AND REHABILITATION RESEARCH AI has become a transformative force in the field of geriatric rehabilitation research. Its applications extend beyond clinical practice into the realm of data-driven decision-making, where it wields substantial influence.…”

“…Additionally, AI can dynamically adjust pain management strategies based on real-time data. For instance, if a patient's pain levels increase during a physical therapy session, AI can recommend modifications to the exercise routine or suggest immediate pain relief interventions 14,15…”

A Multi-Agent System for Service Provisioning in an Internet-of-Things Smart Space Based on User Preferences

“…A deep attentive tabular neural network (TabNet) was used by Ani et al [25] in 2023 for prediction and control tasks through imitation learning to automate a control, and they pointed out that it is more suitable for the task than reinforcement learning. Health and well-being monitoring has been improved and raised to a different level with the introduction of IoT, as is evident in a large number of papers published on the subject [26][27][28]. It has proven to be very helpful in providing older people with the opportunity to stay independent and relieving burdened health systems.…”

A Low-Cost Wearable Device to Estimate Body Temperature Based on Wrist Temperature

“…Traditional medical practices diagnose these diseases and abnormalities in the human body. For instance, hospitals conduct physiological tests that can lead to extended hospital stays for patients during their recovery [ 1 , 2 , 3 ]. This could be observed with the most recent pandemic caused by the Coronavirus Disease 2019 (COVID-19).…”