Recommendations Service for Chronic Disease Patient in Multimodel Sensors Home Environment

Hussain, Maqbool; Ali, Taqdir; Khan, Wajahat Ali; Afzal, Muhammad; Lee, Sungyoung; Latif, Khalid

doi:10.1089/tmj.2014.0028

Cited by 17 publications

(9 citation statements)

References 15 publications

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“…Wearable sensors are used to acquire data to generate these activity patterns. A similar system is proposed in [ 40 ]. Suryadevara et al [ 41 ] develop an intelligent home monitoring system to detect behavior changes and forecast the behavior of elderly people.…”

Section: Smart Home Projects and Applicationsmentioning

confidence: 99%

The Elderly’s Independent Living in Smart Homes: A Characterization of Activities and Sensing Infrastructure Survey to Facilitate Services Development

Hernando

Pau

2015

Sensors

233

149

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Human activity detection within smart homes is one of the basis of unobtrusive wellness monitoring of a rapidly aging population in developed countries. Most works in this area use the concept of “activity” as the building block with which to construct applications such as healthcare monitoring or ambient assisted living. The process of identifying a specific activity encompasses the selection of the appropriate set of sensors, the correct preprocessing of their provided raw data and the learning/reasoning using this information. If the selection of the sensors and the data processing methods are wrongly performed, the whole activity detection process may fail, leading to the consequent failure of the whole application. Related to this, the main contributions of this review are the following: first, we propose a classification of the main activities considered in smart home scenarios which are targeted to older people’s independent living, as well as their characterization and formalized context representation; second, we perform a classification of sensors and data processing methods that are suitable for the detection of the aforementioned activities. Our aim is to help researchers and developers in these lower-level technical aspects that are nevertheless fundamental for the success of the complete application.

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Section: Smart Home Projects and Applicationsmentioning

confidence: 99%

The Elderly’s Independent Living in Smart Homes: A Characterization of Activities and Sensing Infrastructure Survey to Facilitate Services Development

Hernando

Pau

2015

Sensors

233

149

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“…A combination of clinical recommendations and the involvement of physicians with intelligent health monitoring systems for the elderly can improve patient safety. 21 A chronic disease care system could improve treatment continuity for adults with type 2 diabetes mellitus. 13 Additionally, Gokalp and Clarke 22 found that most of the existing monitoring systems could provide smart life services such as meal preparation, personal hygiene, bathing, and dressing.…”

Section: Discussionmentioning

confidence: 99%

Status and Influential Factors of Intelligent Healthcare in Nursing Homes in China

Fan-li

Song²,

Guo³

et al. 2020

CIN: Computers, Informatics, Nursing

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With the support of the Chinese government, nursing homes have increasingly adopted Internet and intelligent information technology to provide daily healthcare services to residents. However, no research has reported the status of intelligent healthcare in nursing homes. From September 2017 to May 2018, we conducted a survey of 197 nursing homes and collected information on their general characteristics, the intelligent healthcare services provided, the effectiveness of the application products used, and the attitudes of the staff and residents toward intelligent healthcare. Overall, 79.69% of the surveyed nursing homes have provided intelligent healthcare services, including medical care services (eg, chronic disease management and intelligent nursing) and daily life services (eg, fall monitoring and wireless positioning). Portable health monitoring devices and data management and service platforms are the most used healthcare products. The attitudes of staff probably affected the development of intelligent healthcare. Financial investment and the attitudes of staff and residents are factors that influence the effectiveness of the application of intelligent healthcare products in nursing homes. With the support of national policies, nursing homes have implemented primary intelligent healthcare. Stakeholders play pivotal roles in the provision of intelligent healthcare services.

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“…There already are proposals for solutions, e.g. multi-model sensor-based home environment for demented people [49]. However, so far there are only few if any research on solutions that are designed for multi-disease domain, e.g.…”

Section: Literature Reviewmentioning

confidence: 99%

WANTED! - Virtual Coach for People with Thorny Diseases

Halonen¹,

Sävenstedt

Hartvigsen

et al. 2018

Proceedings of the 51st Hawaii International Conference on System Sciences

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Recommendations Service for Chronic Disease Patient in Multimodel Sensors Home Environment

Cited by 17 publications

References 15 publications

The Elderly’s Independent Living in Smart Homes: A Characterization of Activities and Sensing Infrastructure Survey to Facilitate Services Development

The Elderly’s Independent Living in Smart Homes: A Characterization of Activities and Sensing Infrastructure Survey to Facilitate Services Development

Status and Influential Factors of Intelligent Healthcare in Nursing Homes in China

WANTED! - Virtual Coach for People with Thorny Diseases

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