The Internet of Things Wearable Emergency device is used in Myocardial Infarction

碩士 === 元智大學 === 資訊工程學系 === 106 === In recent years, with the rapid advancement of science and technology, the rural population will gradually move to urban areas to make the urban population densely populated. In the case of dense population, the most needed is to manage people's health, Theref...

Full description

Bibliographic Details
Main Authors: Jia-Ming Zhang, 張家銘
Other Authors: I-Shyan Hwang
Format: Others
Language:zh-TW
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/dd9669
Description
Summary:碩士 === 元智大學 === 資訊工程學系 === 106 === In recent years, with the rapid advancement of science and technology, the rural population will gradually move to urban areas to make the urban population densely populated. In the case of dense population, the most needed is to manage people's health, Therefore, in the mature structure of Internet of Things, various products connect to the designated cloud for different monitoring and diversified services, and such an architecture is not widely used in the Smart Health, On the contrary, in the past few years, the industry has begun to be taken seriously. The application of the Internet of Things framework in the medical field will be transformed into Smart Healthcare. Smart medical equipment not only uploads data to the designated medical cloud on the terminal's medical device, but also probes into the medical cloud Management structure, intelligent data analysis, remote healthcare, emergency services... and so on. This study addresses the issue of myocardial infarction, first to set up ECG wearable device allows patients to upload ECG data to the medical cloud at any time, in the medical cloud architecture have two ways: 1. Medical website platform to provide the patient and doctor use 2. Data analysis can provide reference for the diagnosis of physicians, emergency service decision exception alarm occurs when the first aid team can view the patient data and contacts in the fastest time, and then decide whether the need to send an ambulance. Myocardial infarction analysis, which uses Convolutional Neural Networks for training, not only analyzes myocardial infarction or health classifications, but also provides a classifier for five different positions of myocardial infarction, providing physician diagnostic advice. The future work of the medical platform is no longer just let the people simply register, the doctor also do not subjective diagnosis and treatment, from the terminal equipment to the cloud architecture and then to the data analysis will be the new architecture, in the age of developed artificial intelligence, data analysis will be the main force of smart medical services, emergency services will be better and better, so that people have better medical services system.