CodeBlue: An Ad Hoc Sensor Network Infrastructure for Emergency Medical Care

By David J. Malan, T. Fulford-Jones, Matt Welsh, S. Moulton. 2004

952 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/dea6e909827a3d8878f9ddcb7e78c3c68133105f

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Citations in the corpus

Big Data Analytics in Healthcare (2015, background): “[87] David Malan, Thaddeus Fulford-Jones, Matt Welsh, and Steve Moulton.”
Wireless Sensor Networks for Healthcare (2010, methodology): “Specifically, CodeBlue [50] aims to improve the triage process during disaster events with the help of WSNs comprising motes with IEEE 802.15.4 radios.”
Wireless sensor networks for personal health monitoring: Issues and an implementation (2006, background): “For example, intelligent heart monitors can warn users about impeding medical conditions [15] or provide information for a specialized service in the case of catastrophic events [16].”
Conducting a Large-scale Field Test of a Smartphone-based Communication Network for Emergency Response (2018, background): “independent ad hoc communication services can be established by facilitating the smartphones of civilians and responders. Using these communication services, a number of applications for medical care [7] and coordination of those affected [1] can be realized. To asses the effectiveness of the propos”
Hardware design experiences in ZebraNet (2004, methodology): “In laboratory experiments, Motes are often used to evaluate protocols and sensor network behavior [8][18][21].”
The internet of things in healthcare: An overview (2016, methodology): “A mote-based pulse oximeter was introduced in [51] .”
Context Aware Computing for The Internet of Things: A Survey (2013, methodology): “However, sensor networks were used in limited domains to achieve specific purposes, such as environment monitoring [40], agriculture [35], medical care [41], event detection [42], structural health monitoring [43], etc.”
Security Issues in Healthcare Applications Using Wireless Medical Sensor Networks: A Survey (2011, methodology): “For the experimental scenario, consider the CodeBlue [7] and MEDiSN [54] and [57] architectures, which need a multi-hop environment ( i.e. , one node to another node) from body sensors to a remote server.”
BSN-Care: A Secure IoT-Based Modern Healthcare System Using Body Sensor Network (2016, background): “Hence, in order to achieve all the network security requirements here we propose a lightweight anonymous authentication protocol.”
The BikeNet mobile sensing system for cyclist experience mapping (2007, background): “There is much interest in monitoring first responders at the scene of an emergency using wireless sensors to alleviate some of the difficulties in their working environment [26].”
HealthGear: a real-time wearable system for monitoring and analyzing physiological signals (2006, methodology): “The sensor’s LEDs drain 3 mW each, while the total power consumption, including the XPod module, is 60 mW at 3 V. Bottom: HealthGear’s client-server architecture.”
Enabling Effective Programming and Flexible Management of Efficient Body Sensor Network Applications (2013, background): “Conversely, both the CodeBlue and TITAN implementations required extensions to the core modules, thus delaying the prototyping time.”
A Systematic Review of Wearable Patient Monitoring Systems – Current Challenges and Opportunities for Clinical Adoption (2017, methodology): “Some of the early foundation research includes; (1) the wearable healthcare system (WEALTHY) project, which investigated the use of fabric integrated sensors to continuously monitor the vital signs of high-risk patients, including those undergoing rehabilitation [5]; (2) an investigation of a custom”
Wireless sensor networks: applications and challenges of ubiquitous sensing (2005, unknown): “With these ideas in mind, Harvard University is cooperating with the School of Medicine at Boston University to develop CodeBlue, an infrastructure designed to support wireless medical sensors, PDAs, PCs, and other devices that may be used to monitor and treat patients in various medical scenarios [”