A novel "five-in-one" comprehensive medical care framework for rehabilitation and nursing.

With the evolution of society, the world has entered a moderate stage of aging. Not surprisingly, the aging problem in the world is getting more intense, resulting in the increasing demand for higher-quality and well-organized medical and elderly care services. To cope with that, many researchers have dedicated themselves to advancing the medical care system based on data or platforms. However, they have ignored the life cycle, health service and management and the inevitable shift of living scenarios for the elderly. Therefore, the study aims to improve health conditions and enhance senior citizens' life quality and happiness index. In this paper, we build a unified body for people in their old age, bridging the disconnection between medical care and elderly care and constructing the "five-in-one" comprehensive medical care framework. It should be mentioned that the system takes the human life cycle as its axis, relies on the supply side and supply chain management, integrates medicine, industry, literature and science as methods, and takes health service management as a requirement. Furthermore, a case study on upper limb rehabilitation is elaborated along the "five-in-one" comprehensive medical care framework to confirm the effectiveness of the novel system.

Recent advancements in digital health management using multi-modal signal monitoring.

Healthcare is the method of keeping or enhancing physical and mental well-being with its aid of illness and injury prevention, diagnosis, and treatment. The majority of conventional healthcare practices involve manual management and upkeep of client demographic information, case histories, diagnoses, medications, invoicing, and drug stock upkeep, which can result in human errors that have an impact on clients. By linking all the essential parameter monitoring equipment through a network with a decision-support system, digital health management based on Internet of Things (IoT) eliminates human errors and aids the doctor in making more accurate and timely diagnoses. The term "Internet of Medical Things" (IoMT) refers to medical devices that have the ability to communicate data over a network without requiring human-to-human or human-to-computer interaction. Meanwhile, more effective monitoring gadgets have been made due to the technology advancements, and these devices can typically record a few physiological signals simultaneously, including the electrocardiogram (ECG) signal, the electroglottography (EGG) signal, the electroencephalogram (EEG) signal, and the electrooculogram (EOG) signal. Yet, there has not been much research on the connection between digital health management and multi-modal signal monitoring. To bridge the gap, this article reviews the latest advancements in digital health management using multi-modal signal monitoring. Specifically, three digital health processes, namely, lower-limb data collection, statistical analysis of lower-limb data, and lower-limb rehabilitation via digital health management, are covered in this article, with the aim to fully review the current application of digital health technology in lower-limb symptom recovery.