Integrating wearables with cloud-based communication for health monitoring and emergency assistance

Sinnapolu, Giribabu; Alawneh, Shadi

doi:10.1016/j.iot.2018.08.004

Cited by 32 publications

(7 citation statements)

References 8 publications

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“…In emergencies (i.e., critical conditions occurring to the patient), the application could route the nearby hospitals for the drive or take other actions such as pulling over for assistance. [ 16 ] In cases where real-time data analysis is required and common delays with cloud computing cannot be tolerated, fog computing can be of help. Cisco developed the fog or edge computing as an extension to the cloud computing.…”

Section: Resultsmentioning

confidence: 99%

“…In order to provide an overview (mainly by using text mining) on literature discussing the use of IoT for chronic disease management, a number of articles on literature analysis and applications of IoT for chronic disease management were reviewed to determine the dimensions that help provide an overview on the available literature. [ 10 12 13 14 15 16 17 ] Finally, the present research questions (RQs) were developed based on the identified dimensions.…”

Section: Methodsmentioning

confidence: 99%

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Use of Internet of Things for Chronic Disease Management

Dadkhah¹,

Mehraeen²,

Rahimnia³

et al. 2021

Journal of Medical Signals &Amp; Sensors

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Most of the countries with elderly populations are currently facing with chronic diseases. In this regard, Internet of Things (IoT) technology offers promising tools for reducing the chronic disease burdens. Despite the presence of fruitful works on the use of IoT for chronic disease management in literature, these are rarely overviewed consistently. The present study provides an overview on the use of IoT for chronic disease management, followed by ranking different chronic diseases based on their priority for using IoT in the developing countries. For this purpose, a structural coding was used to provide a list of technologies adopted so far, and then latent Dirichlet allocation algorithm was applied to find major topics in literature. In order to rank chronic diseases based on their priority for using IoT, a list of common categories of chronic diseases was subjected to fuzzy analytic hierarchy process. The research findings include lists of IoT technologies for chronic disease management and the most-discussed chronic diseases. In addition, with the help of text mining, a total of 18 major topics were extracted from the relevant pieces of literature. The results indicated that the cardiovascular disease and to a slightly lesser extent, diabetes mellitus are of the highest priorities for using IoT in the context of developing countries.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Use of Internet of Things for Chronic Disease Management

Dadkhah¹,

Mehraeen²,

Rahimnia³

et al. 2021

Journal of Medical Signals &Amp; Sensors

View full text Add to dashboard Cite

show abstract

“…Over the previous ten or more years, the development of fall detection systems became a quite hot topic due to the aging society. Various technologies and methodologies have been adopted, such as the IoT [ 33 , 34 , 35 ] and artificial intelligence [ 36 , 37 ].…”

Section: Related Workmentioning

confidence: 99%

Fall Recognition Based on an IMU Wearable Device and Fall Verification through a Smart Speaker and the IoT

Lin

Chen

Lee

et al. 2023

Sensors

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A fall is one of the most devastating events that aging people can experience. Fall-related physical injuries, hospital admission, or even mortality among the elderly are all critical health issues. As the population continues to age worldwide, there is an imperative need to develop fall detection systems. We propose a system for the recognition and verification of falls based on a chest-worn wearable device, which can be used for elderly health institutions or home care. The wearable device utilizes a built-in three-axis accelerometer and gyroscope in the nine-axis inertial sensor to determine the user’s postures, such as standing, sitting, and lying down. The resultant force was obtained by calculation with three-axis acceleration. Integration of three-axis acceleration and a three-axis gyroscope can obtain a pitch angle through the gradient descent algorithm. The height value was converted from a barometer. Integration of the pitch angle with the height value can determine the behavior state including sitting down, standing up, walking, lying down, and falling. In our study, we can clearly determine the direction of the fall. Acceleration changes during the fall can determine the force of the impact. Furthermore, with the IoT (Internet of Things) and smart speakers, we can verify whether the user has fallen by asking from smart speakers. In this study, posture determination is operated directly on the wearable device through the state machine. The ability to recognize and report a fall event in real-time can help to lessen the response time of a caregiver. The family members or care provider monitor, in real-time, the user’s current posture via a mobile device app or internet webpage. All collected data supports subsequent medical evaluation and further intervention.

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“…To bring the situation under control, this monitor device would transmit an alert to an Android-enabled phone, which would then cause the car to come to a halt, preventing future casualties. Described a system that allows the apps to locate and route the driver to the nearest hospitals [86]. In this method, autopilot assistance will be enabled if the situation is serious and the driver is not reacting to the drive.…”

Section: 3heart Attack Monitoring System In the Vehiclementioning

confidence: 99%

A review of technologies for heart attack monitoring systems

2023

IJATEE

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Integrating wearables with cloud-based communication for health monitoring and emergency assistance

Cited by 32 publications

References 8 publications

Use of Internet of Things for Chronic Disease Management

Use of Internet of Things for Chronic Disease Management

Fall Recognition Based on an IMU Wearable Device and Fall Verification through a Smart Speaker and the IoT

A review of technologies for heart attack monitoring systems

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