{"id":677,"date":"2023-03-22T20:38:59","date_gmt":"2023-03-22T20:38:59","guid":{"rendered":"https:\/\/students.pingry.org\/irt\/?page_id=677"},"modified":"2023-03-30T23:41:40","modified_gmt":"2023-03-30T23:41:40","slug":"smartheart-2022-3-project","status":"publish","type":"page","link":"https:\/\/students.pingry.org\/irt\/smartheart-2022-3-project\/","title":{"rendered":"Smartheart – 2022\/3 Project"},"content":{"rendered":"

[et_pb_section fb_built=”1″ admin_label=”Hero” _builder_version=”4.4.7″ background_color=”#f8fbfe” use_background_color_gradient=”on” background_color_gradient_start=”#53a0fd” background_color_gradient_end=”#002960″ background_color_gradient_direction=”74deg” background_image=”https:\/\/students.pingry.org\/irt\/wp-content\/uploads\/sites\/19\/2020\/07\/geometric-bg-overlay-01.jpg” background_blend=”overlay” custom_padding=”2.4%|0px||0px||” animation_style=”zoom” animation_direction=”bottom” animation_duration=”0ms” animation_intensity_zoom=”0%” animation_starting_opacity=”100%” box_shadow_style=”preset7″ box_shadow_horizontal=”0px” box_shadow_vertical=”-200px” box_shadow_color=”#F8FBFE”][et_pb_row _builder_version=”4.4.7″ custom_padding=”||0px|||”][et_pb_column type=”4_4″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.4.7″ text_font=”Abhaya Libre||||||||” text_text_color=”#ffffff” text_font_size=”18px” text_line_height=”1.8em” header_font=”Nunito Sans|700|||||||” header_text_align=”center” header_text_color=”#ffffff” header_font_size=”45px” header_line_height=”1.3em” header_2_font=”||||||||” text_orientation=”center” max_width=”750px” module_alignment=”center” custom_margin=”||18px|||” custom_padding=”||17px|0px||” inline_fonts=”Abhaya Libre”]<\/p>\n

Smartheart 2022-2023 Project – Deep Learning-Based\u00a0Analysis of 12-LEAD Electrocardiograms for Cardiovascular Disease Risk Prevention\u00a0<\/span><\/h1>\n

[\/et_pb_text][et_pb_text _builder_version=”4.4.7″ header_font=”Abhaya Libre||||||||” header_3_font=”Abhaya Libre|600|||||||” header_3_text_color=”#ffffff” header_3_font_size=”25px” custom_margin=”||60px|||” custom_padding=”0px||63px|||” header_3_text_shadow_style=”preset5″]<\/p>\n

\u00a0Evan Wen (Form VI), JP Salvatore (Form VI), Max Liu (Form VI), Alan Zhong (Form V)<\/span><\/h3>\n

[\/et_pb_text][et_pb_image align=”center” align_tablet=”center” align_phone=”” align_last_edited=”on|desktop” _builder_version=”4.4.7″ min_height=”26px” custom_margin=”41px||-79px|||” custom_padding=”||0px|||” border_radii=”on|10px|10px|10px|10px” border_width_all=”1px” border_color_all=”rgba(51,51,51,0.1)” box_shadow_style=”preset1″ box_shadow_vertical=”10px” box_shadow_blur=”30px” box_shadow_color=”rgba(34,56,101,0.09)”][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.4.7″][et_pb_column type=”4_4″ _builder_version=”4.4.7″][et_pb_text _builder_version=”4.4.7″ text_font=”Abhaya Libre|600|||||||” header_text_align=”center” header_font_size=”54px” min_height=”86px” custom_margin=”||-9px|||”]<\/p>\n

Project Summary + Project Goal\u00a0<\/h1>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Features” _builder_version=”3.22″ background_color=”#f8fbfe” custom_margin=”-62px|||||” custom_padding=”151px|0px|12px|0px||”][et_pb_row _builder_version=”4.4.7″ min_height=”77px” custom_margin=”-10px|auto||auto||” custom_padding=”||1px|||”][et_pb_column type=”4_4″ _builder_version=”4.4.7″][et_pb_text _builder_version=”4.4.7″ text_font=”Abhaya Libre||||||||” text_text_color=”#ffffff” text_line_height=”1.9em” background_color=”#cee1ff” width=”100%” max_width=”100%” min_height=”216px” max_height=”1000px” custom_margin=”-190px|-1px|0px|-2px|false|false” custom_padding=”14px||1px|4px|false|false” border_width_all=”5px” border_style_all=”inset”]<\/p>\n

Cardiovascular disease is the leading cause of death worldwide which is often diagnosed with electrocardiograms (ECG). The electrocardiogram is a non-invasive test which measures the electrical signal of the heart via electrodes placed on the chest and limbs. Diagnosing ECGs was originally a task left to medical specialists, but in recent years AI has emerged as an approach to automate the diagnosis. However, there are limitations to the diagnosis leading to various inaccuracies AI has been unable to fully conquer to this date. Currently, our project is focused on attempting to solidify this approach with optimal diagnosis results. <\/span><\/h2>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.4.7″ min_height=”17px” custom_margin=”-1px|auto||auto||” custom_padding=”2px|||0px||”][et_pb_column type=”4_4″ _builder_version=”4.4.7″][et_pb_text _builder_version=”4.4.7″ header_font=”Abhaya Libre|600|||||||” header_text_align=”center” header_2_font=”Abhaya Libre|600|||||||” header_2_font_size=”53px” min_height=”24px” custom_padding=”6px|||||”]<\/p>\n

Current State<\/h2>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.4.7″ min_height=”210px” custom_margin=”-68px|auto||auto||” custom_padding=”41px||0px|||”][et_pb_column type=”4_4″ _builder_version=”4.4.7″][et_pb_text _builder_version=”4.4.7″ text_font=”Abhaya Libre||||||||” header_letter_spacing=”1px” background_color=”#cee1ff” min_height=”123px” custom_margin=”||48px|||” custom_padding=”15px||0px|4px|false|false” border_width_all=”5px” border_style_all=”inset”]<\/p>\n

In order to denoise our data, we explore various signal processing methods, such as finite impulse response, discrete wavelet transforms, feature engineering, and fourier transform. Using time-series classification networks, we then calculate probabilities for each diagnosis. Specifically, we test LSTM, RNN, and transformer models due to their popularity within natural language processing. We also experiment with popular image-classification models, such as the vision transformer on spectrograms generated from the waveform. Our results are evaluated against other approaches from the 2020 George B. Moody PhysioNet Challenge. The overarching research question is whether we can accurately assess a patient’s risk level for future disease. If diagnosed early enough, cardiovascular disease is curable. However, current work has remained focused on diagnosing patients already compromised by their condition. We also examine the feasibility of developing tools to calculate the probabilities for the 27 most common cardiovascular diseases. To achieve this, we seek to analyze discrepancies in healthy ECGs as well as personalized patient data in conjunction with our current work. <\/span><\/h2>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.4.7″ min_height=”94px” custom_padding=”0px|||||”][et_pb_column type=”4_4″ _builder_version=”4.4.7″][et_pb_text _builder_version=”4.4.7″ header_font=”Abhaya Libre|600|||||||” header_2_font=”Abhaya Libre|600|||||||” header_2_font_size=”54px” inline_fonts=”Abhaya Libre”]<\/p>\n

Next Steps<\/span><\/h2>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.4.7″ custom_margin=”-34px|auto||auto||” custom_padding=”0px||12px|||”][et_pb_column type=”4_4″ _builder_version=”4.4.7″][et_pb_text _builder_version=”4.4.7″ header_2_font=”Abhaya Libre||||||||” header_2_letter_spacing=”1px” background_color=”#cee1ff” custom_margin=”0px|||0px|false|false” custom_padding=”5px|||4px|false|false” border_width_all=”5px” border_style_all=”inset”]<\/p>\n

We are doing a literature review of different algorithms that have achieved high scores in the 2020 PhysioNet Challenge. We will implement promising approaches and improve on them by using new signal preprocessing methods. If multiple preprocessing methods achieve good results, we may combine them to create an ensemble classifier. Our goal is to create a model that achieves a competitive score based on the PhysioNet Challenge scoring metric. We also plan on developing a computer vision algorithm to scan ECGs that we have kindly received from Dr. Robert Masci, chairman of the cardiology department at the Newton Medical Center.<\/span><\/h2>\n

[\/et_pb_text][et_pb_text _builder_version=”4.4.7″ header_font=”Abhaya Libre|600|||||||” header_2_font=”Abhaya Libre|600|||||||” header_2_font_size=”54px” inline_fonts=”Abhaya Libre”][\/et_pb_text][et_pb_text _builder_version=”4.4.7″ header_font=”Abhaya Libre|600|||||||” header_2_font=”Abhaya Libre|600|||||||” header_2_font_size=”54px” inline_fonts=”Abhaya Libre”]<\/p>\n

Research Week Poster\u00a0<\/span><\/h2>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.4.7″ custom_margin=”|auto|-38px|auto||”][et_pb_column type=”4_4″ _builder_version=”4.4.7″][et_pb_image src=”https:\/\/students.pingry.org\/irt\/wp-content\/uploads\/sites\/19\/2023\/03\/SmartHeart-IRT-Poster-Research-Week-2022-Maximus-Liu-1.pdf” title_text=”SmartHeart IRT Poster – Research Week 2022 – Maximus Liu” _builder_version=”4.4.7″ custom_margin=”-39px|||||” hover_enabled=”0″ border_width_all=”4px” border_style_all=”inset”][\/et_pb_image][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Center Aligned Text ” _builder_version=”4.4.7″ background_color=”#f8fbfe” use_background_color_gradient=”on” background_color_gradient_start=”#53a0fd” background_color_gradient_end=”#002960″ background_color_gradient_direction=”74deg” background_image=”https:\/\/students.pingry.org\/irt\/wp-content\/uploads\/sites\/19\/2020\/07\/geometric-bg-overlay-01.jpg” background_blend=”overlay” min_height=”223px” custom_margin=”28px||-330px|||” custom_padding=”0px|0px|0px|0px||” animation_direction=”bottom”][et_pb_row admin_label=”Tittle” _builder_version=”4.4.7″ min_height=”113px” custom_margin=”1px|auto||auto||”][et_pb_column type=”4_4″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.4.7″ header_font=”Abhaya Libre|700|||||||” header_text_align=”center” header_text_color=”#ffffff” header_font_size=”60px” custom_padding=”||0px|||”]<\/p>\n

Meet the Team<\/h1>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.4.7″ column_structure=”1_4,1_4,1_4,1_4″][et_pb_column _builder_version=”4.4.7″ type=”1_4″][et_pb_image src=”https:\/\/students.pingry.org\/irt\/wp-content\/uploads\/sites\/19\/2023\/03\/G11-Wen-E.jpg” _builder_version=”4.4.7″ title_text=”G11 Wen E” hover_enabled=”0″][\/et_pb_image][\/et_pb_column][et_pb_column _builder_version=”4.4.7″ type=”1_4″][et_pb_image src=”https:\/\/students.pingry.org\/irt\/wp-content\/uploads\/sites\/19\/2023\/03\/G11-Salvatore-JP.jpg” _builder_version=”4.4.7″ title_text=”G11 Salvatore JP” hover_enabled=”0″][\/et_pb_image][\/et_pb_column][et_pb_column _builder_version=”4.4.7″ type=”1_4″][et_pb_image src=”https:\/\/students.pingry.org\/irt\/wp-content\/uploads\/sites\/19\/2023\/03\/G11-Liu-M-1.jpg” _builder_version=”4.4.7″ title_text=”G11 Liu M (1)” hover_enabled=”0″][\/et_pb_image][\/et_pb_column][et_pb_column _builder_version=”4.4.7″ type=”1_4″][et_pb_image src=”https:\/\/students.pingry.org\/irt\/wp-content\/uploads\/sites\/19\/2023\/03\/G10-Zhong-A.jpg” _builder_version=”4.4.7″ title_text=”G10 Zhong A” hover_enabled=”0″][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.4.7″ column_structure=”1_4,1_4,1_4,1_4″][et_pb_column _builder_version=”4.4.7″ type=”1_4″][et_pb_text _builder_version=”4.4.7″ header_font=”Abhaya Libre|600|||||||” header_2_font=”Abhaya Libre|600|||||||” header_2_text_color=”#ffffff” header_2_font_size=”35px” width=”132.4%” custom_margin=”-41px|17px||-35px|false|false” custom_padding=”|0px||||” hover_enabled=”0″]<\/p>\n

Evan Wen<\/h2>\n

[\/et_pb_text][\/et_pb_column][et_pb_column _builder_version=”4.4.7″ type=”1_4″][et_pb_text _builder_version=”4.4.7″ header_font=”Abhaya Libre|600|||||||” header_2_font=”Abhaya Libre|600|||||||” header_2_text_color=”#ffffff” header_2_font_size=”35px” width=”132.4%” custom_margin=”-39px|8px||-34px|false|false” custom_padding=”|0px||||” hover_enabled=”0″]<\/p>\n

JP Salvatore<\/h2>\n

[\/et_pb_text][\/et_pb_column][et_pb_column _builder_version=”4.4.7″ type=”1_4″][et_pb_text _builder_version=”4.4.7″ header_font=”Abhaya Libre|600|||||||” header_2_font=”Abhaya Libre|600|||||||” header_2_text_color=”#ffffff” header_2_font_size=”35px” width=”132.4%” custom_margin=”-37px|16px||-40px|false|false” custom_padding=”|0px||||” hover_enabled=”0″]<\/p>\n

Max Lui<\/h2>\n

[\/et_pb_text][\/et_pb_column][et_pb_column _builder_version=”4.4.7″ type=”1_4″][et_pb_text _builder_version=”4.4.7″ header_font=”Abhaya Libre|600|||||||” header_2_font=”Abhaya Libre|600|||||||” header_2_text_color=”#ffffff” header_2_font_size=”35px” width=”132.4%” custom_margin=”-34px|8px||-44px|false|false” custom_padding=”|0px||4px|false|false” hover_enabled=”0″]<\/p>\n

Alan Zhong<\/h2>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.4.7″ min_height=”468px” custom_padding=”||335px|||” hover_enabled=”0″ custom_margin=”|auto|16px|auto||”][et_pb_column type=”1_2″ _builder_version=”4.4.7″][et_pb_text _builder_version=”4.4.7″ header_font=”Abhaya Libre|600|||||||” header_2_font=”Abhaya Libre|600|||||||” header_2_text_color=”#ffffff” header_2_font_size=”35px” width=”132.4%” custom_margin=”13px|224px|-2px|-460px|false|false” custom_padding=”0px|528px|0px||false|false”]<\/p>\n

<\/h2>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.4.7″][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,1_3,1_3″ _builder_version=”4.4.7″ min_height=”116px” height=”252px” custom_margin=”|auto|2px|auto||” custom_padding=”2px|||||” hover_enabled=”0″][et_pb_column type=”1_3″ _builder_version=”4.4.7″][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.4.7″][et_pb_image src=”https:\/\/students.pingry.org\/irt\/wp-content\/uploads\/sites\/19\/2022\/06\/Jolly_Marie-Pierre_FacStaff.jpeg” title_text=”Jolly_Marie-Pierre_FacStaff” align=”center” _builder_version=”4.4.7″ width=”86%” min_height=”97px” custom_margin=”-473px||24px|19px|false|false” custom_padding=”||0px|||” hover_enabled=”0″][\/et_pb_image][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.4.7″][et_pb_text _builder_version=”4.4.7″ header_font=”Abhaya Libre|600|||||||” header_2_font=”Abhaya Libre|600|||||||” header_2_text_color=”#ffffff” header_2_font_size=”35px” width=”132.4%” custom_margin=”-111px|8px||-434px|false|false” custom_padding=”|0px||||” hover_enabled=”0″]<\/p>\n

Dr. Marie-Pierre Jolly<\/h2>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"

Smartheart 2022-2023 Project – Deep Learning-Based\u00a0Analysis of 12-LEAD Electrocardiograms for Cardiovascular Disease Risk Prevention\u00a0\u00a0Evan Wen (Form VI), JP Salvatore (Form VI), Max Liu (Form VI), Alan Zhong (Form V)Project Summary + Project Goal\u00a0Cardiovascular disease is the leading cause of death worldwide which is often diagnosed with electrocardiograms (ECG). The electrocardiogram is a non-invasive test which […]<\/p>\n","protected":false},"author":68,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"class_list":["post-677","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/students.pingry.org\/irt\/wp-json\/wp\/v2\/pages\/677","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/students.pingry.org\/irt\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/students.pingry.org\/irt\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/students.pingry.org\/irt\/wp-json\/wp\/v2\/users\/68"}],"replies":[{"embeddable":true,"href":"https:\/\/students.pingry.org\/irt\/wp-json\/wp\/v2\/comments?post=677"}],"version-history":[{"count":24,"href":"https:\/\/students.pingry.org\/irt\/wp-json\/wp\/v2\/pages\/677\/revisions"}],"predecessor-version":[{"id":784,"href":"https:\/\/students.pingry.org\/irt\/wp-json\/wp\/v2\/pages\/677\/revisions\/784"}],"wp:attachment":[{"href":"https:\/\/students.pingry.org\/irt\/wp-json\/wp\/v2\/media?parent=677"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}