Wireless Sensor Networks for Vital Signs Monitoring: Application in a Nursing Home

Chang, Yuan‐Jen; Chen, Chin-Hsing; Lin, Li-Feng; Han, Ruo-Ping; Huang, Wen‐Tzeng; Lee, Guey-Chuen

doi:10.1155/2012/685107

Cited by 34 publications

(18 citation statements)

References 20 publications

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“…Various types of sensors exist that can be classified in respect to their positioning towards the human body: sensors can be implanted into the body [ 1 , 2 , 3 , 4 , 5 ] and used in various body parts such as in hips [ 6 ], they can be externally attached to bodies or be in the vicinity of bodies (wearable sensors) [ 7 , 8 , 9 , 10 , 11 , 12 , 13 ] and they can be positioned in the environment such as walls and floors of a home [ 14 , 15 , 16 , 17 , 18 ]. Sensors are used for various purposes in regards to disabled people, including but not limited to health monitoring [ 19 ], evacuation and rescue information [ 19 ], indoor navigation aid [ 20 ], smart home systems that aid disabled people to carry out daily activities in the safety and comfort of their homes [ 21 ], real time tracking of disabled people [ 22 ], sensor pillow systems [ 23 ], assistive living [ 24 ], home medical assistance [ 25 ], rehabilitation [ 8 ], physiological monitoring [ 11 ], as health managing system [ 26 ] and for mobile health [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

Sensors: Views of Staff of a Disability Service Organization

Wolbring

Leopatra

2013

JPM

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Sensors have become ubiquitous in their reach and scope of application. They are a technological cornerstone for various modes of health surveillance and participatory medicine—such as quantifying oneself; they are also employed to track people with certain as impairments perceived ability differences. This paper presents quantitative and qualitative data of an exploratory, non-generalizable study into the perceptions, attitudes and concerns of staff of a disability service organization, that mostly serve people with intellectual disabilities, towards the use of various types of sensor technologies that might be used by and with their clients. In addition, perspectives of various types of privacy issues linked to sensors, as well data regarding the concept of quantified self were obtained. Our results highlight the need to involve disabled people and their support networks in sensor and quantified-self discourses, in order to prevent undue disadvantages.

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Section: Introductionmentioning

confidence: 99%

Sensors: Views of Staff of a Disability Service Organization

Wolbring

Leopatra

2013

JPM

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“…But its calculation and communication complexity are high, and the data acquisition is not comprehensive. In [24], a wireless network life-monitoring system for the nursing home is proposed, which uses the wireless sensor…”

Section: Related Workmentioning

confidence: 99%

Health Monitoring System for Nursing Homes with Lightweight Security and Privacy Protection

Jiang

Liu

2017

Journal of Electrical and Computer Engineering

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With the rapid growth of aged population in China, it is urgent to design a safe and effective monitoring system for the nursing homes. An optimized scheme and high performance security and privacy protection for monitoring system have already become the focus studied especially. So this paper proposed a health monitoring system with lightweight security and privacy protection for nursing homes. Dual-band RFID, virtual routing location algorithm, and diet and exercise data collection based on RFID were adopted to obtain the location and health information. And that fused a mobile authentication protocol based on Hash function to realize security access and privacy protection, which can improve security and reduce the complexity of calculation and the implementation cost compared with the typical authentication protocols. The experiment results show that the ratio of relative network delay is below 35%. The system has strong real-time, high security, more comprehensive data, and lower cost of computation and communication. It can satisfy the requirements of health monitoring for nursing homes.

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“…Similarly, the work in [9] presents a sensor network deployment in nursing homes in Taiwan to continuously monitor vital signs of patients, using web-based technologies, verifying the system's accuracy, acceptance and usefulness. Nevertheless, it so far lacks the ability to fuse more sensor modalities such as sleep and ambient sensing, with limited interoperability.…”

Section: Related Workmentioning

confidence: 99%

Dem@Home: Ambient Intelligence for Clinical Support of People Living with Dementia

et al. 2016

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Abstract. With the ever-growing prevalence of dementia, nursing costs are increasing, while the ability to live independently vanishes. Dem@Home is an ambient assisted living framework to support independent living while receiving intelligent clinical care. Dem@Home integrates a variety of ambient and wearable sensors together with sophisticated, interdisciplinary methods of image and semantic analysis. Semantic Web technologies, such as OWL 2, are extensively employed to represent sensor observations and application domain specifics as well as to implement hybrid activity recognition and problem detection. Complete with tailored user interfaces, clinicians are provided with accurate monitoring of multiple life aspects, such as physical activity, sleep, complex daily tasks and clinical problems, leading to adaptive non-pharmaceutical interventions. The method has been already validated for both recognition performance and improvement on a clinical level, in four home pilots.

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Wireless Sensor Networks for Vital Signs Monitoring: Application in a Nursing Home

Cited by 34 publications

References 20 publications

Sensors: Views of Staff of a Disability Service Organization

Sensors: Views of Staff of a Disability Service Organization

Health Monitoring System for Nursing Homes with Lightweight Security and Privacy Protection

Dem@Home: Ambient Intelligence for Clinical Support of People Living with Dementia

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