Smart Elderly Care Research Articles

The Progress of Smart Elderly Care Research: A Scientometric Analysis Based on CNKI and WOS.

To reduce the burden caused by an increased elderly population and to provide efficient service resources, scholars worldwide have proposed and applied smart elderly care. This paper summarizes the hotspots of the existing literature and explores the research frontiers to ignite future research. CiteSpace software was used to conduct a scientometric analysis of high-quality literature collected from both the China National Knowledge Infrastructure (CNKI) and the Web of Science (WOS). Based on the results of the basic situation description, this article highlights six research hotspots in CNKI and 11 research themes in WOS. In addition, it offers three major evolution stages and three future research directions for smart elderly care research. This paper provides a holistic overview of the smart elderly care literature from two major global databases. The results will contribute to healthcare policy designers, practitioners, and developers by giving them comprehensive knowledge and generating strategies to enhance elderly people's quality of life.

Super Smart City Community Home Care Service

China's cities have entered the digital era, and the replacement of pension models in mega cities is surging. The original institutional pension has been difficult to adapt to the diversified needs, and the progress of science and technology has provided technical support for the elderly to meet the diversified needs more closely. This paper analyzes the reality of the transformation and further extension of the elderly care model from institutional elderly care to home care. On this basis, in the face of the smart and super large development of the city, it explores the embryonic form of the smart elderly care model, analyzes the current difficulties in building a smart city community home based elderly care and gives corresponding suggestions and measures.

老龄化背景下智慧养老模式探究——积分接力养老模式

老龄化背景下智慧养老模式探究——积分接力养老模式

Retracted: Construction of a Digital Elderly Care Service System Based on Human-Computer Interaction from the Perspective of Smart Elderly Care.

[This retracts the article DOI: 10.1155/2022/1500339.].

Smart Elderly Care Services in China: Challenges, Progress, and Policy Development

In 2017, the State Council of China published an action plan for the construction of a smart and healthy elderly care industry (2017–2020). The action plan designed and implemented by the State Council of China demonstrates the Central Government’s determination to informationalise and digitalise the Chinese society. Therefore, the market of smart home care services should expectedly mushroom in the coming decades, as the demand for smart home care increase. However, there are a range of barriers to achieving the massification of smart home care services, which will be discussed in the following sections. In addition to the shortage of family care and nursing services, elders being physically and psychologically vulnerable also engenders the Central Government to accelerate the provision of smart home care services to the Chinese elderly population. Here, smart home investment and delivery are necessary when building a sustainable elderly care system. The investment in smart home elderly care can lessen the long-term burden on China’s healthcare system as more elders would be able to self-manage their everyday life and minor physical and psychological problems. In this article, the author would critically analyses China’s implementation of smart home elderly care services, particularly on the benefits and challenges of technological advancement in elderly care and the advantages and problems of relevant policy development. The author also highlights how the informationalisation and digitalisation in elderly care and policy development enhance the convenience of the elderly populations’ everyday life when family care is limited or absent. Additionally, the author assesses what the gaps are in existing smart home elderly care technologies and policy development that need to be addressed by Chinese policymakers to further advance the safety and convenience of the elderly cohorts’ living.

Application Research on a "5G+AI" Smart Elderly Care Service Platform System

Facing the growing demand for elderly care services in China, this paper designs a "5G+AI" smart elderly care service platform integrating 5G, AI, IoT, intelligent sensors and other technologies to open up channels for various elderly care providers, promote smart collaboration among service interfaces, service data and service resources, and further realize all-round elderly care support for the elderly at the individual, family and social levels, It provides a new solution to the increasingly serious elderly care problem.

Retracted: Construction of the "Internet Plus" Community Smart Elderly Care Service Platform.

[This retracts the article DOI: 10.1155/2021/4310648.].

Application of “TCM + Smart Elderly Care” in the Medical-Nursing Care Integration Service System

As a country with the fastest population aging rate in the world, China’s existing elderly care and medical resources are not enough to meet the growing and complex needs of elderly care and health services. The Chinese government is actively promoting the integrated development of medical and elderly care institutions, but it has yet to give full play to the inexpensive and existing advantages of traditional Chinese medicine in the treatment of diseases and rehabilitation of the elderly, by sorting out the advantages of “TCM + intelligent pension” in medical expenses, pension costs, disease prevention, intelligent pension services, and so on. In view of the current problems existing in China’s pension, this paper mainly proposes to solve the pension dilemma in China from several aspects: improving the supervision and evaluation system, increasing capital investment, building a unified digital medical and pension service platform, and strengthening the talent training in the field of traditional Chinese medicine integration. The application of the “TCM + smart elderly care” system into the medical and elderly care service system is promoted to effectively improve the operation efficiency of the whole medical and elderly care service system and the satisfaction of elderly families.

Noncontact Sleeping Heartrate Monitoring Method Using Continuous-Wave Doppler Radar Based on the Difference Quadratic Sum Demodulation and Search Algorithm.

Continuous-wave doppler radar, which has the advantages of simple structure, low cost, and low power consumption, has attracted extensive attention in the detection of human vital signs. However, while respiration and heartbeat signals are mixed in the echo phase, the amplitude difference between the two signals is so large that it becomes difficult to measure the heartrate (HR) from the interference of respiration stably and accurately. In this paper, the difference quadratic sum demodulation method is proposed. According to the mixed characteristics of respiration and heartbeat after demodulation, the heartbeat features can be extracted with the help of the easy-to-detect breathing signal; combined with the constrained nearest neighbor search algorithm, it can realize sleeping HR monitoring overnight without body movements restraint. Considering the differences in vital-sign characteristics of different individuals and the irregularity of sleep movements, 54 h of sleep data for nine nights were collected from three subjects, and then compared with ECG-based HR reference equipment. After excluding the periods of body turning over, the HR error was within 10% for more than 70% of the time. Experiments confirmed that this method, as a tool for long-term HR monitoring, can play an important role in sleeping monitoring, smart elderly care, and smart homes.

SEM Based Study on the Influencing Factors of the Integration of China’s Smart Elderly Care Industry Chain

Purpose – At present, the problem of old-age security is becoming more and more prominent, and smart elderly care has become a trend in social elderly care development. However, there is relatively little research on industry chain integration, and research combining “smart elderly care” and “industry chain integration” is even more absent, although the theory of industry chain integration has put forward valuable ideas. The theory of industry chain integration should be combined with smart elderly care to carry out research and analysis on different perspectives of the industry chain, so as to promote the construction of smart elderly care industry chain integration and lay the foundation for the further research of smart elderly care industry chain integration.
 Design/Methodology/Approach – Firstly, this study’s descriptive, factor, reliability, and validity analysis, as well as the establishment and verification of structural equations, were carried out for the obtained data using SPSS statistical analysis software and AMOS. Then, the descriptive analysis processes the basic information of interviewees, and the reliability and validity of the scale are tested. In this process, principal components were extracted through factor analysis to modify the model, and a path analysis of the factors and other analyses were carried out through the establishment of structural equations to obtain the final research results.
 Findings – The results show that there are problems with the current demand patterns of the aging group, the operation of smart elderly care enterprises, the service modes of the smart elderly care industry and the elderly care service environment, which limit the integration of the smart elderly care industry chain to a certain extent.
 Research Implications – The prior research suffers from two types of problems, mainly focusing on qualitative analysis, a lack of empirical research, no clarification of the logical relationship between various perspectives, and a lack of variables and model systems. Therefore, the value of this study is to use structural equation modeling (SEM) to construct the factors influencing the integration of the smart elderly care industry chain and carry out an empirical study on the influencing factors.

Network Information Security Platform Based on Artificial Intelligence for the Elderly's Health "Integration of Physical, Medical, and Nursing Care".

With the development of my country's economy and society and the improvement of civilization, the silver wave has gradually come. The country has launched a multifaceted pension model, such as institutional pension, home-based pension, and pension real estate. With the increasing aging of the population, traditional elderly care services can no longer meet the growing needs of the elderly. This research mainly discusses the construction of a network information security platform based on artificial intelligence for the elderly's health “integration of physical, medical, and nursing care.” The platform consists of five modules: health records, follow-up plans, remote training, health education, and remote consultation. Each module is equipped with a corresponding main interface and/or subinterface. Some modules also have submodules as needed. The structure is reasonable, and the interface is displayed. The combined medical care service model is divided into medical care, care care, and medical care. Among them, the medical care model mainly provides long-term comprehensive care services for the disabled, demented, semidisabled, and other elderly groups. The support-oriented model is mainly for self-care or semi-self-care elderly groups, providing rehabilitation monitoring and life care services. In terms of the overall effect of the platform, 13 users (81.25%) gave a high evaluation of the overall effect of the platform. This research will promote the development of the smart elderly care industry.

Construction of a Digital Elderly Care Service System Based on Human-Computer Interaction from the Perspective of Smart Elderly Care.

Digital elderly care service is an innovative elderly care model, and its emergence has brought about a huge change in the field of elderly care services (ECSS). The current method is to make the elderly care service more precise and personalized, improve the ability and level, and improve the current ECSS. The defect is that the short of top-level design and overall planning is basically only in the state of trial operation. In order to solve these problems, this paper proposes to study how to intervene in social work in smart ECSS to enhance service capabilities and improve service quality on the original basis. Therefore, based on the use of human-computer interaction technology, this paper deepens the research on the current elderly care services. According to a survey of the elderly in a certain city, the digital elderly care system shows that 25.33% of the elderly prefer to use housekeeping services, and 63% of the elderly prefer healthcare services. The results show that the digital elderly care service system based on human-computer interaction technology is easier to be accepted by the elderly than the traditional elderly care service. The elderly care service system under human-computer interaction is more considerate than the traditional elderly care service system and can make the elderly's life more colorful.

A Regulatory Game Analysis of Smart Aging Platforms Considering Privacy Protection.

Privacy and information protection are important issues in the era of big data. At present, China’s elderly care industry is gradually adopting the supply model of smart elderly care to alleviate the contradiction between supply and demand. However, the low level of regulation of smart aging platforms may lead to a low level of privacy protection on the platforms. Therefore, in this paper, based on the evolutionary game and Lyapunov theory, we discuss the willingness of elderly people to participate in regulation, the privacy protection status of platform service providers, and the degree of government regulation, as well as the key factors affecting the equilibrium of the three-party game system, and conduct simulation analysis and game system optimization using MATLAB. The simulation results show that and can be transformed to by adjusting the parameters, i.e., the optimal ESS is participation, high-quality protection, and low investment supervision; the service income of the elderly, the loss of privacy leakage, the investment cost of service providers, and the amount of government rewards and punishments are the key factors affecting the tripartite game system. By analyzing the impact of factors, such as benefits and costs, on privacy protection and the regulation of smart senior care platforms, the level of privacy protection of smart senior care platforms can be improved and the process of the comprehensive regulation of domestic senior care services can be promoted.

Study on the Problems and Development of the Elderly-care in Rural Areas under the “Healthy China Initiative” Based on the Research of Smart Elderly-care in Rural Areas of Qingdao City

In recent years, population aging has become a global problem, and this problem is getting more serious in China. At present, home-based elderly-care is still prevalent in China’s elderly-care system, which can not meet the growing needs of the elderly in our country. Therefore, the implementation of smart elderly-care in rural areas to meet the needs of the elderly has become an urgent task. Based on the implementation situation of smart elderly-care in Qingdao City, this paper adopts qualitative and quantitative methods to study the practical dilemma of smart elderly-care, and puts forward effective countermeasures and suggestions for its implementation so as to create a positive and diversified pattern of smart elderly-care services.

Development of an integrated conceptual path model for a smart elderly care information system

Development of an integrated conceptual path model for a smart elderly care information system

A Sustainable, Interactive Elderly Healthcare System for Nursing Homes: An Interdisciplinary Design

Population ageing becomes a perplexing conundrum with social and economic development. Many senior citizens are now empty nesters because the younger generation prefer to stay in metropolises for a better life. Therefore, living in a nursing home is a popular choice for the aged. This objective-oriented paper proposes a sustainable elderly healthcare system for nursing homes. The main work is the design and implementation of a new rapid and interactive assistance service. Based on cost-effective fingerprint indoor-positioning technology, the alert message that a person is at risk will be immediately sent to nearby people before professionals arrive. Warning messages are available when nearing marked areas (e.g., slippery floors). The parallel path-finding algorithm plays a significant role in finding nearby people and alerting people who approach specific areas. Furthermore, this system provides application programming interfaces to connect to health devices, such as smart bracelets, watches, and glasses. In general, the system is designed to ensure the safety of the elderly and improve management efficiency, which corresponds to present smart elderly care proposals from governments.

Study on the Development Path of Smart Elderly Care in Guangxi

Smart elderly care refers to the provision of real-time and efficient elderly care services to the elderly based on Internet technology and intelligent equipment such as big data. In the development of traditional elderly care service, Guangxi witnessed slow development in its foundation and lags behind in infrastructure construction. Smart elderly care provides a new path for the development of Guangxi elderly care industry. This study investigated the demand of the elderly in Guangxi for elderly care services, Based on the current development of elderly care services in Guangxi, three smart elderly care paths that adapt to the development characteristics of the region is proposed: community grid management + community elder security, smart home + home care, Internet + hospital health care + home care.

Discrete HMM for Visualizing Domiciliary Human Activity Perception and Comprehension

Advances in artificial intelligence-based autonomous applications have led to the advent of domestic robots for smart elderly care; the preliminary critical step for such robots involves increasing the comprehension of robotic visualizing of human activity recognition. In this paper, discrete hidden Markov models (D-HMMs) are used to investigate human activity recognition. Eleven daily home activities are recorded using a video camera with an RGB-D sensor to collect a dataset composed of 25 skeleton joints in a frame, wherein only 10 skeleton joints are utilized to efficiently perform human activity recognition. Features of the chosen ten skeleton joints are sequentially extracted in terms of pose sequences for a specific human activity, and then, processed through coordination transformation and vectorization into a codebook prior to the D-HMM for estimating the maximal posterior probability to predict the target. In the experiments, the confusion matrix is evaluated based on eleven human activities; furthermore, the extension criterion of the confusion matrix is also examined to verify the robustness of the proposed work. The novelty indicated D-HMM theory is not only promising in terms of speech signal processing but also is applicable to visual signal processing and applications.

The Practical Dilemma and Optimization Path of Smart Home-Based Care in Hengshui City, China

Smart home-based care for elderly is the product of the “Internet+” era, along with the information technology and the growing needs for a better elderly life. In order to understand the influencing factors of smart home care in Hengshui city, this paper selected 183 elderly people through a questionnaire survey. The conclusion of the study showed that education level, economic status, sleep quality and residence conditions are the influencing factors affecting the needs of smart home care of the elderly (p 0.05). Smart home care products for the elderly have a high willingness to use them, especially in terms of life care, medical services and emotional talk, but the compliance still needs to be improved. Development countermeasures suitable for Hengshui city can be put forward through the publicity of smart elderly care services, promoting the construction of demand-oriented big data, and promoting the participation of various forces.

Construction of the "Internet Plus" Community Smart Elderly Care Service Platform.

With the rapid development of China's market economy and the increasing trend of population aging, the traditional community elderly care service model has exposed more and more problems, such as the imbalance between supply and demand, single service, and lack of flexibility. In response to these issues, this research attempts to explore the possible paths and practical challenges of applying the Internet, Internet of Things, mobile networks, big data, and cloud computing to community elderly care services. This research believes that the construction of the “Internet Plus” community smart elderly care services platform is a general trend. Innovating the traditional community elderly care service model is conducive to fully integrating elderly care resources and improving the quality of elderly care services.