An Adaptive Anaphylaxis Detection and Emergency Response System
Allergic Reactions can range from mild rashes to severe conditions, sometimes even leading to anaphylaxis and sudden death. Lack of sufficient prior patient data and a need of physician's immediate supervision calls for a solution which can be deployed at large to prevent the sudden death occurring due to anaphylactic shocks and further collect data to enable fast detection in future situations. This paper describes an integrated ecosystem comprising of several on-body patient devices connected to a central server with a doctor at one of the client nodes. An on-body device consists of physiological signal acquiring sensors, abnormality detector, and smart-phone for uploading the anomalous data to a server for further classification. Gathering anomalous data from the patients, the cloud processes them through a binary adversarial classifier based on physician's annotation of anaphylaxis occurrence. The adversarial classifier has been incorporated to tackle data insufficiency because of its faster convergence.
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