M-health, which is known as the practice of medical and public health supported by mobile devices such as mobile phones and PDAs for delivering medical and healthcare services, is currently being heavily developed to ...M-health, which is known as the practice of medical and public health supported by mobile devices such as mobile phones and PDAs for delivering medical and healthcare services, is currently being heavily developed to keep pace with the continuously rising demand for personalized healthcare. To this end, the MobiHealthcare system, which provides a personalized healthcare based on body sensor network, is developed. The system includes various body sensors to collect physiological signals specifically for different requirements, a cell phone to facilitate the joint processing of spatially and temporally collected medical data from different parts of the body for resource optimization and systematic health monitoring, a server cluster with great data storage capacity, powerful analysis capabilities to provide data storage, data mining and visualization. Compared with existing M-Health system, the MobiHealthcare system is characteristics of low coupling and powerful parallel computing capabilities. Various healthcare applications have been implemented in the proposed system to demonstrate its effectiveness in providing a powerful platform.展开更多
Objective To systematically evaluate the application effect of M-healthfor PCI postoperative coronary heart disease patients.MethodsTrials on patients withM-healthwere screened from these databases (EMBASE, PUMBED, Co...Objective To systematically evaluate the application effect of M-healthfor PCI postoperative coronary heart disease patients.MethodsTrials on patients withM-healthwere screened from these databases (EMBASE, PUMBED, Cochrane Library, CNKI database, Wanfang database) from inception to March 12 in 2018.展开更多
Cloud computing becomes an important application development platform for processing user data with high security.Service providers are accustomed to providing storage centers outside the trusted location preferred by...Cloud computing becomes an important application development platform for processing user data with high security.Service providers are accustomed to providing storage centers outside the trusted location preferred by the data owner.Thus,ensuring the security and confidentiality of the data while processing in the centralized network is very difficult.The secured key transmission between the sender and the receiver in the network is a huge challenge in managing most of the sensitive data transmission among the cloud network.Intruders are very active over the network like real authenticated user to hack the personal sensitive data,such as bank balance,health data,personal data,and confidential documents over the cloud network.In this research,a secured key agreement between the sender and the receiver using Kerberos authentication protocol with fingerprint is proposed to ensure security in M-Healthcare.Conditions of patients are monitored using wireless sensor devices and are then transferred to the server.Kerberos protocol helps in avoiding unnecessary communication of authenticated data over the cloud network.Biometric security process is a procedure with the best security in most of the authentication field.Trust node is responsible in carrying data packets from the sender to the receiver in the cloud network.The Kerberos protocol is used in trust node to ensure security.Secured communication between the local health center and the healthcare server is ensured by using a fingerprint feature called minutiae form,which refers to the fingerprint image of both sender and receiver.The computational and communicational cost of the proposed system is lesser when compared with other existing authentication methods.展开更多
The automated proficiencies of the Kingdom of Saudi Arabia, in vision 2030, influence a decade of continual expenditure in contemporary automation and unified government platforms. It affords a reliable base for the C...The automated proficiencies of the Kingdom of Saudi Arabia, in vision 2030, influence a decade of continual expenditure in contemporary automation and unified government platforms. It affords a reliable base for the COVID-19 response’s significant facets, encompassing continued connection to many e-government systems. The worldwide COVID-19 epidemic has reinvigorated the role of e-government. The health crisis has altered SADAIA to lunch Tawakkalna m-government application to execute business continuity strategies, offer important services to people, and assure their fulfilment. The study intends to assess the impact of the COVID-19 pandemic on users’ satisfaction with m-government services and Health Care apps in the Al-Madinah region. It analyses the elements that enable people’s use of online government services, and m-government services are a solution to handle the crisis. The finding shows that trust in e-government, trust in the internet, ease of use and usefulness are the important factors in using the application during the pandemic.展开更多
BACKGROUND Physical exercise is an underutilized tool for the management of mental disorders.New technologies have made a breakthrough in health care,and one of its possible applications(apps)could be that of customiz...BACKGROUND Physical exercise is an underutilized tool for the management of mental disorders.New technologies have made a breakthrough in health care,and one of its possible applications(apps)could be that of customizing exercise programs for special populations,such as patients with mental disorders.However,the app of the so-called e-health to mental health care is still limited.AIM To know the efficacy of apps to promote physical activity in patients with mental disorders.METHODS We conducted a systematic review of the PubMed and Embase databases with the aim of exploring the use of new technologies for the enhancement of physical exercise in patients with a psychiatric illness.Following the selection process,10 articles were included in the review.RESULTS The most commonly used devices in this type of intervention are wearable devices and web platforms.Good results in terms of effectiveness and acceptability were obtained in most of the studies.CONCLUSION Our findings suggest that the use of new technologies in mental health represents a feasible strategy with great potential in clinical practice.展开更多
多准则决策分析已广泛用于卫生决策领域。通过分类方法测量属性(measuring attractiveness by a categorical based evaluation technique,MACBETH)是一种多准则决策分析方法,该方法与其他价值测量方法的关键区别在于MACBETH使用了对吸...多准则决策分析已广泛用于卫生决策领域。通过分类方法测量属性(measuring attractiveness by a categorical based evaluation technique,MACBETH)是一种多准则决策分析方法,该方法与其他价值测量方法的关键区别在于MACBETH使用了对吸引力差异的定性判断,以为选项生成价值分数。M-MACBETH软件可实现MACBETH分析过程,包括价值树的结构化、建立价值函数、对备选方案的各准则评分、对准则赋权、一致性检验及敏感性分析等。本文主要介绍了MACBETH的基本原理及如何使用M-MACBETH软件实现多准则决策分析。展开更多
文摘M-health, which is known as the practice of medical and public health supported by mobile devices such as mobile phones and PDAs for delivering medical and healthcare services, is currently being heavily developed to keep pace with the continuously rising demand for personalized healthcare. To this end, the MobiHealthcare system, which provides a personalized healthcare based on body sensor network, is developed. The system includes various body sensors to collect physiological signals specifically for different requirements, a cell phone to facilitate the joint processing of spatially and temporally collected medical data from different parts of the body for resource optimization and systematic health monitoring, a server cluster with great data storage capacity, powerful analysis capabilities to provide data storage, data mining and visualization. Compared with existing M-Health system, the MobiHealthcare system is characteristics of low coupling and powerful parallel computing capabilities. Various healthcare applications have been implemented in the proposed system to demonstrate its effectiveness in providing a powerful platform.
文摘Objective To systematically evaluate the application effect of M-healthfor PCI postoperative coronary heart disease patients.MethodsTrials on patients withM-healthwere screened from these databases (EMBASE, PUMBED, Cochrane Library, CNKI database, Wanfang database) from inception to March 12 in 2018.
文摘Cloud computing becomes an important application development platform for processing user data with high security.Service providers are accustomed to providing storage centers outside the trusted location preferred by the data owner.Thus,ensuring the security and confidentiality of the data while processing in the centralized network is very difficult.The secured key transmission between the sender and the receiver in the network is a huge challenge in managing most of the sensitive data transmission among the cloud network.Intruders are very active over the network like real authenticated user to hack the personal sensitive data,such as bank balance,health data,personal data,and confidential documents over the cloud network.In this research,a secured key agreement between the sender and the receiver using Kerberos authentication protocol with fingerprint is proposed to ensure security in M-Healthcare.Conditions of patients are monitored using wireless sensor devices and are then transferred to the server.Kerberos protocol helps in avoiding unnecessary communication of authenticated data over the cloud network.Biometric security process is a procedure with the best security in most of the authentication field.Trust node is responsible in carrying data packets from the sender to the receiver in the cloud network.The Kerberos protocol is used in trust node to ensure security.Secured communication between the local health center and the healthcare server is ensured by using a fingerprint feature called minutiae form,which refers to the fingerprint image of both sender and receiver.The computational and communicational cost of the proposed system is lesser when compared with other existing authentication methods.
文摘The automated proficiencies of the Kingdom of Saudi Arabia, in vision 2030, influence a decade of continual expenditure in contemporary automation and unified government platforms. It affords a reliable base for the COVID-19 response’s significant facets, encompassing continued connection to many e-government systems. The worldwide COVID-19 epidemic has reinvigorated the role of e-government. The health crisis has altered SADAIA to lunch Tawakkalna m-government application to execute business continuity strategies, offer important services to people, and assure their fulfilment. The study intends to assess the impact of the COVID-19 pandemic on users’ satisfaction with m-government services and Health Care apps in the Al-Madinah region. It analyses the elements that enable people’s use of online government services, and m-government services are a solution to handle the crisis. The finding shows that trust in e-government, trust in the internet, ease of use and usefulness are the important factors in using the application during the pandemic.
文摘BACKGROUND Physical exercise is an underutilized tool for the management of mental disorders.New technologies have made a breakthrough in health care,and one of its possible applications(apps)could be that of customizing exercise programs for special populations,such as patients with mental disorders.However,the app of the so-called e-health to mental health care is still limited.AIM To know the efficacy of apps to promote physical activity in patients with mental disorders.METHODS We conducted a systematic review of the PubMed and Embase databases with the aim of exploring the use of new technologies for the enhancement of physical exercise in patients with a psychiatric illness.Following the selection process,10 articles were included in the review.RESULTS The most commonly used devices in this type of intervention are wearable devices and web platforms.Good results in terms of effectiveness and acceptability were obtained in most of the studies.CONCLUSION Our findings suggest that the use of new technologies in mental health represents a feasible strategy with great potential in clinical practice.
文摘多准则决策分析已广泛用于卫生决策领域。通过分类方法测量属性(measuring attractiveness by a categorical based evaluation technique,MACBETH)是一种多准则决策分析方法,该方法与其他价值测量方法的关键区别在于MACBETH使用了对吸引力差异的定性判断,以为选项生成价值分数。M-MACBETH软件可实现MACBETH分析过程,包括价值树的结构化、建立价值函数、对备选方案的各准则评分、对准则赋权、一致性检验及敏感性分析等。本文主要介绍了MACBETH的基本原理及如何使用M-MACBETH软件实现多准则决策分析。
