2018英特爾ISEF獲獎作品摘要 生物醫(yī)學(xué)工程 Intel Finalist Abstract Biomedical Engineering

獲獎作品基本信息

年份	2018
學(xué)科	生物醫(yī)學(xué)工程 Biomedical Engineering
國家/州	United States of America

獲獎作品名稱

SmartRate: A Machine Learning Approach to Predicting Cardiac Arrest

獲獎作品摘要

Preventing death from Sudden Cardiac Arrest (SCA) holds great importance for the medical and public community worldwide. 326,000 people each year in the U.S. alone are afflicted and 90% do not reach appropriate medical care on time. Current studies focus only on non-wearable electrocardiogram derived signals, and few highly accurate classifiers have been developed for the prediction of an oncoming SCA. This research involved the design, construction, and testing of a wrist-worn device containing a photoplethysmographic (PPG) based Heart Rate (HR) sensor that communicated via Bluetooth to an iOS application. HR samples were then sent from the iPhone to a Python server hosting a machine learning binary classifier and a growing database. The database contained both PPG samples under various physical activities and MIT Arrhythmia dataset samples. The server then parsed each sample for statistical heart rate variability (HRV) features that act as standard indicators for the classifier to generate a prediction of SCA or Normal. Upon each prediction, the server returned the classification value to the iOS application and the user was then notified. Without a user response following an SCA classification, a previously developed early-warning algorithm to notify Emergency Medical Services was independently triggered through the iOS application. Testing of the classifier demonstrated greater than 90% accuracy to correctly predict SCA two-minutes prior to the event. Results suggest that this wrist-worn prototype therefore has potential to decrease fatality from SCA and may provide a useful model for low-cost, effective wearables for the prediction of other cardiovascular abnormalities.

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ISEF 簡介

英特爾國際科學(xué)與工程大獎賽，簡稱 "ISEF"，由美國 Society for Science and the Public（科學(xué)和公共服務(wù)協(xié)會）主辦，英特爾公司冠名贊助，是全球規(guī)模最大、等級最高的中學(xué)生的科研科創(chuàng)賽事。ISEF 的學(xué)術(shù)活動學(xué)科包括了所有數(shù)學(xué)、自然科學(xué)、工程的全部領(lǐng)域和部分社會科學(xué)。ISEF 素有全球青少年科學(xué)學(xué)術(shù)活動的“世界杯”之美譽(yù)，旨在鼓勵學(xué)生團(tuán)隊(duì)協(xié)作，開拓創(chuàng)新，長期專一深入地研究自己感興趣的課題。

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英特爾 ISEF 學(xué)術(shù)活動詳細(xì)介紹

英特爾 ISEF 全程指導(dǎo)方案

· 數(shù)學(xué) · 物理 · 化學(xué) · 生物 · 計(jì)算機(jī) · 工程 ·

學(xué)科簡介：生物醫(yī)學(xué)工程 Biomedical Engineering

Projects that involve the application of engineering principles and design concepts to medicine and biology for healthcare purposes including diagnosis, monitoring and therapy. ?Prominent biomedical engineering applications include the development of biocompatible prostheses, various diagnostic and therapeutic medical devices ranging from clinical equipment to micro-implants, common imaging equipment such as MRIs and EEGs, regenerative tissue growth, pharmaceutical drugs and therapeutic biologicals.

Subcategories:

Biomaterials and Regenerative Medicine?(BMR):?These studies involve the creation or use of biomaterials or biocompatible materials to construct a whole or a part of a living structure. These studies can include scaffolds for recruiting or supporting regenerative cells or tissues or the engineering designs for creating the correct environment for regenerative growth.

Biomechanics?(BIE):?Studies that apply classical mechanics (statics, dynamics, fluids, solids, thermodynamics, and continuum mechanics) to understand the function of biological tissues, organs, and systems and solve biological or medical problems. It includes the study of motion, material deformation, flow within the body and in devices, and transport of chemical constituents across biological and synthetic media and membranes.

Biomedical Devices (BDV):?The study and/or construction of an apparatus that use electronics and other measurement techniques to diagnose, prevent and/or treat diseases or other conditions within or on the body.

Biomedical Imaging?(IMG):?The study and/or construction of an apparatus or technique that combines knowledge of a unique physical phenomenon (sound, radiation, magnetism, etc) with high speed electronic data processing, analysis and display to generate an image to support biomedical advances and procedures.

Cell and Tissue Engineering?(CTE):?Studies that utilize the anatomy, biochemistry and mechanics of cellular and sub-cellular structures in order to understand disease processes and to be able to intervene at very specific sites.

Synthetic Biology (SYN):?Studies that involve the design and construction of new biological parts, devices and systems. Such studies include biological circuit design, genetic circuits, protein engineering, nucleic acid engineering, rational design, directed evolution and metabolic engineering.

OTH?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.