An IoT-Based early Warning System for Patients with Heart Disease

Autor: Xing Zhe Piao, Song Yang, Yu Shan Xue, Hai Yin Piao
Rok vydání: 2013
Předmět:
Zdroj: Applied Mechanics and Materials. :2348-2351
ISSN: 1662-7482
Popis: An IoT-based early warning system was proposed for patients with heart disease, and presented a two-stage early warning approach. Neural network was introduced to clinical data analysis. Monitoring data collected by IoT was taken as the feedback to neural network to personalize the prediction model in accordance with the individual physical difference. Based on the two-stage prediction method, the alarm is given according to several rules, aim to warn the patients with potential heart attack ahead of time, and accurately by this system.
Databáze: OpenAIRE