Bringing IoT and Cloud Computing towards Pervasive Healthcare

By Charalampos N. Doukas, Ilias Maglogiannis. 2012 Sixth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, 2012

395 citations recorded by the source corpus.

Pervasive healthcare applications utilizing body sensor networks generate a vast amount of data that need to be managed and stored for processing and future usage. Cloud computing among with the Internet of Things (IoT) concept is a new trend for efficient managing and processing of sensor data online. This paper presents a platform based on Cloud Computing for management of mobile and wearable healthcare sensors, demonstrating this way the IoT paradigm applied on pervasive healthcare.

Subfields: Biomedical Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/4132551dc6a891c62979c4f2c8a07f5d5cc90b6d

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In Biomedical Engineering

In Computer Networks and Communications

In Computer Vision and Pattern Recognition

Citations in the corpus

The Internet of Things for Health Care: A Comprehensive Survey (2015, background): “Such healthcare activities have been demonstrated in the context of emergency medical services [22], and an IoThNet topology including cloud computing for pervasive health care has been proposed [23].”
Industry 4.0 and Health: Internet of Things, Big Data, and Cloud Computing for Healthcare 4.0 (2020, background): “In this context, medical, diagnostic, and imaging sensor devices are central for fruitfully leveraging IoT in the health domain [14, 40].”
Internet of Things (IoT), Applications and Challenges: A Comprehensive Review (2020, background): “The study suggested a platform based on cloud computations for managing the data [86].”
The role of Information and Communication Technologies in healthcare: taxonomies, perspectives, and challenges (2018, background): “to remotely offload computation- or data-intensive tasks [312, 63, 324, 283, 55, 300, 207, 83, 296] or to perform further processing activities and analyses [281, 326].”
A Survey on Mobile Crowdsensing Systems: Challenges, Solutions, and Opportunities (2019, neutral): “approach for efficient data management [99], [100].”
A survey on Internet of Things architectures (2016, background): “Various paths for conjugation between cloud computing and IoT for efficient managing and processing of sensor data by wearable health care sensors are in practice that demonstrates IoT application on pervasive health care [68].”
On the Integration of Cloud Computing and Internet of Things (2014, background): “The adoption of Cloud in this scenario leads to the abstraction of technical details, eliminating the need for expertise in, or control over, the technology infrastructure [15], [43], and it represents a promising solution for managing healthcare sensor data efficiently [29].”
The internet of things in healthcare: An overview (2016, background): “Numerous progresses have been made in healthcare monitoring and control [14] , interoperability and security [15] , pervasive healthcare [9,10] , and drug interaction checking [11] , etc.”
Integration of Cloud computing and Internet of Things: A survey (2016, background): “Pervasive healthcare applications generate a vast amount of sensor data that have to be managed properly for further analysis and processing [39].”