2017英特尔ISEF获奖作品摘要 机器人与智能机器（人工智能） Intel Finalist Abstract Robotics and Intelligent Machines (AI)

获奖作品基本信息

年份	2017
学科	机器人与智能机器 Robotics and Intelligent Machines
国家/州	United States of America

获奖作品名称

An Early Myocardial Infarction Detection System Using Complex Artificial Intelligence

获奖作品摘要

Myocardial Infarctions are major cardiovascular emergencies that can severely weaken the heart or even cause heart failure if they are not treated in a timely manner. Myocardial Infarctions are also very difficult to diagnose due to the silent symptoms that can occur. As of now, there are no existing solutions that can diagnose Myocardial Infarctions (MI) in a portable setting while keeping a high level of accuracy. The goal of the project was to create a portable system that was both accurate and low cost to detect an early MI. To achieve both accuracy and portability, a wearable ECG system was developed. All heartbeats are not alike and are varied person to person. To counteract this variability while keeping a high level of accuracy, an Artificial Neural Network (ANN) was developed and trained to detect abnormal heartbeats that could signify an MI. This ANN was adjusted for overfitting and pruned so that it could be ported to a Raspberry Pi. This Linux based computer runs python scripts that collect the ECG data, apply pre-processing algorithms including an FFT and classify each heartbeat using the local neural network. This system was heavily optimized using multithreading and other software techniques to reduce the total run time from collection to classification of each heartbeat on the Raspberry Pi. The training of the ANN occurs on the cloud therefore the training resources did not affect the local classification system on the Raspberry Pi. The entire system was trained and tested using the PTB diagnostic ECG database within Physionet which includes real ECG data from MI patients. After training and testing, the portable system achieved an average 92% accuracy while remaining low cost. This system can be applied to the detection and prevention of other diseases.

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高中生科研 英特尔 Intel ISEF
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高中生科研学术活动 英特尔 Intel ISEF 简介

英特尔国际科学与工程大奖赛，简称 "ISEF"，由美国 Society for Science and the Public（科学和公共服务协会）主办，英特尔公司冠名赞助，是全球规模最大、等级最高的中学生的科研科创赛事。ISEF 的学术活动学科包括了所有数学、自然科学、工程的全部领域和部分社会科学。ISEF 素有全球青少年科学学术活动的“世界杯”之美誉，旨在鼓励学生团队协作，开拓创新，长期专一深入地研究自己感兴趣的课题。

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英特尔 ISEF 学术活动详细介绍

英特尔 ISEF 全程指导方案

· 数学 · 物理 · 化学 · 生物 · 计算机 · 工程 ·

学科简介：机器人与智能机器 Robotics and Intelligent Machines

Studies in which the use of machine intelligence is paramount to reducing the reliance on human intervention.

Subcategories:

Biomechanics (BIE): Studies and apparatus which mimic the role of mechanics in biological systems.

Cognitive Systems (COG): Studies/apparatus that operate similarly to the ways humans think and process information. Systems that provide for increased interaction of people and machines to more naturally extend and magnify human expertise, activity, and cognition.

Control Theory (CON): Studies that explore the behavior of dynamical systems with inputs, and how their behavior is modified by feedback.  This includes new theoretical results and the applications of new and established control methods, system modelling, identification and simulation, the analysis and design of control systems (including computer-aided design), and practical implementation.

Machine Learning (MAC): Construction and/or study of algorithms that can learn from data.

Robot Kinematics (KIN): The study of movement in robotic systems.

Other (OTH): Studies that cannot be assigned to one of the above subcategories. If the project involves multiple subcategories, the principal subcategory should be chosen instead of Other.