Towards efficient analysis of activities in chronic disease patients

Asad Masood Khattak, Zeeshan Pervez, Iram Fatima, Sungyoung Lee. Lee, Young-Koo Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Ubiquitous Healthcare (u-Healthcare) is a collaborative process incorporating work from diverse fields of computer engineering as well as the knowledge from medical science domain. One of the main targeting services of u_Healthcare is to enable people to live independently longer through the early detection and prevention of chronic disease and disabilities. To provide robust healthcare services, recognition of patient daily life activities is very important. Real-time daily life activities with context information can help in better services of overall system. Now-a-days with increasing life standards and styles, people are more interested in their better health and desire healthy life. This resulted in increase of cost for life care or healthcare system. To maintain quality and availability level of healthcare services with minimum cost, a powerful, flexible, and cost-effective infrastructure for healthcare services that can fulfil the vision of ubiquitous healthcare (u-healthcare) is required. Cloud Computing can potentially provide huge cost savings, flexible high-throughput, and ease of use for different services as well as for healthcare services. For this reason, we have developed a platform architecture, called Secured Wireless Sensor Network (WSN) - integrated Cloud Computing for u-Life Care (SC3). Different wireless sensors are deployed that collect real-time data and transmit that to Cloud Server through Cloud Gateway. Based on this real-time data collected by different sensors, SC3 provides real-time home care and safety monitoring services, information sharing and exchange facility, emergency connection services, and patient monitoring and care services.
Original languageEnglish
Title of host publicationProceeding of International Conference on Ubiquitous Healthcare
Subtitle of host publicationExtending the Realm of u-Healthcare
PublisherIEEE
Pages45-46
Number of pages2
Publication statusPublished - 2010
Externally publishedYes
EventInternational Conference on Ubiquitous Healthcare: Extending the Realm of u-Healthcare - Jeju Grand Hotel, Jeju, Korea, Republic of
Duration: 28 Oct 201030 Oct 2010

Conference

ConferenceInternational Conference on Ubiquitous Healthcare
Abbreviated titleuHealthcare 2010
CountryKorea, Republic of
CityJeju
Period28/10/1030/10/10

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Cloud computing
Costs
Patient monitoring
Gateways (computer networks)
Sensors
Information services
Wireless sensor networks
Servers
Throughput
Health
Availability
Monitoring

Cite this

Masood Khattak, A., Pervez, Z., Fatima, I., Lee, S. L., & Lee, Y-K. (2010). Towards efficient analysis of activities in chronic disease patients. In Proceeding of International Conference on Ubiquitous Healthcare: Extending the Realm of u-Healthcare (pp. 45-46). IEEE.
Masood Khattak, Asad ; Pervez, Zeeshan ; Fatima, Iram ; Lee, Sungyoung Lee. ; Lee, Young-Koo. / Towards efficient analysis of activities in chronic disease patients. Proceeding of International Conference on Ubiquitous Healthcare: Extending the Realm of u-Healthcare. IEEE, 2010. pp. 45-46
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Masood Khattak, A, Pervez, Z, Fatima, I, Lee, SL & Lee, Y-K 2010, Towards efficient analysis of activities in chronic disease patients. in Proceeding of International Conference on Ubiquitous Healthcare: Extending the Realm of u-Healthcare. IEEE, pp. 45-46, International Conference on Ubiquitous Healthcare, Jeju, Korea, Republic of, 28/10/10.

Towards efficient analysis of activities in chronic disease patients. / Masood Khattak, Asad; Pervez, Zeeshan; Fatima, Iram; Lee, Sungyoung Lee.; Lee, Young-Koo.

Proceeding of International Conference on Ubiquitous Healthcare: Extending the Realm of u-Healthcare. IEEE, 2010. p. 45-46.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Towards efficient analysis of activities in chronic disease patients

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AU - Pervez, Zeeshan

AU - Fatima, Iram

AU - Lee, Sungyoung Lee.

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AB - Ubiquitous Healthcare (u-Healthcare) is a collaborative process incorporating work from diverse fields of computer engineering as well as the knowledge from medical science domain. One of the main targeting services of u_Healthcare is to enable people to live independently longer through the early detection and prevention of chronic disease and disabilities. To provide robust healthcare services, recognition of patient daily life activities is very important. Real-time daily life activities with context information can help in better services of overall system. Now-a-days with increasing life standards and styles, people are more interested in their better health and desire healthy life. This resulted in increase of cost for life care or healthcare system. To maintain quality and availability level of healthcare services with minimum cost, a powerful, flexible, and cost-effective infrastructure for healthcare services that can fulfil the vision of ubiquitous healthcare (u-healthcare) is required. Cloud Computing can potentially provide huge cost savings, flexible high-throughput, and ease of use for different services as well as for healthcare services. For this reason, we have developed a platform architecture, called Secured Wireless Sensor Network (WSN) - integrated Cloud Computing for u-Life Care (SC3). Different wireless sensors are deployed that collect real-time data and transmit that to Cloud Server through Cloud Gateway. Based on this real-time data collected by different sensors, SC3 provides real-time home care and safety monitoring services, information sharing and exchange facility, emergency connection services, and patient monitoring and care services.

M3 - Conference contribution

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BT - Proceeding of International Conference on Ubiquitous Healthcare

PB - IEEE

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Masood Khattak A, Pervez Z, Fatima I, Lee SL, Lee Y-K. Towards efficient analysis of activities in chronic disease patients. In Proceeding of International Conference on Ubiquitous Healthcare: Extending the Realm of u-Healthcare. IEEE. 2010. p. 45-46