{"id":433993,"date":"2026-08-24T17:23:47","date_gmt":"2026-08-24T09:23:47","guid":{"rendered":"https:\/\/library.usj.edu.mo\/?post_type=tnc_col_19837_item&#038;p=433993"},"modified":"2026-08-24T18:33:22","modified_gmt":"2026-08-24T10:33:22","slug":"noise-detection-and-classification-in-chagasic-ecg-signals-based-on-one-dimensional-convolutional-neural-networks-2","status":"publish","type":"tnc_col_19837_item","link":"https:\/\/library.usj.edu.mo\/zh\/scholarly-work-usj\/noise-detection-and-classification-in-chagasic-ecg-signals-based-on-one-dimensional-convolutional-neural-networks-2\/","title":{"rendered":"NOISE DETECTION AND\u00a0CLASSIFICATION IN\u00a0CHAGASIC ECG SIGNALS BASED ON\u00a0ONE-DIMENSIONAL CONVOLUTIONAL NEURAL NETWORKS"},"content":{"rendered":"<p>CONTINUOUS CARDIAC MONITORING HAS BEEN INCREASINGLY ADOPTED TO PREVENT HEART DISEASES, ESPECIALLY THE CASE OF CHAGAS DISEASE, A CHRONIC CONDITION THAT CAN DEGRADE THE HEART CONDITION, LEADING TO SUDDEN CARDIAC DEATH. UNFORTUNATELY, A COMMON CHALLENGE FOR THESE SYSTEMS IS THE LOW-QUALITY AND HIGH LEVEL OF NOISE IN ECG SIGNAL COLLECTION. ALSO, GENERIC TECHNIQUES TO ASSESS THE ECG QUALITY CAN DISCARD USEFUL INFORMATION IN THESE SO-CALLED CHAGASIC ECG SIGNALS. TO MITIGATE THIS ISSUE, THIS WORK PROPOSES A 1D CNN NETWORK TO ASSESS THE QUALITY OF THE ECG SIGNAL FOR CHAGASIC PATIENTS AND COMPARE IT TO THE STATE OF ART TECHNIQUES. SEGMENTS OF 10 S WERE EXTRACTED FROM 200 1-LEAD ECG HOLTER SIGNALS. DIFFERENT FEATURE EXTRACTIONS WERE CONSIDERED SUCH AS MORPHOLOGICAL FIDUCIAL POINTS, INTERVAL DURATION, AND STATISTICAL FEATURES, AIMING TO CLASSIFY 400 SEGMENTS INTO FOUR SIGNAL QUALITY TYPES: ACCEPTABLE ECG, NON-ECG, WANDERING BASELINE (WB), AND AC INTERFERENCE (ACI) SEGMENTS. THE PROPOSED CNN ARCHITECTURE ACHIEVES A $$0.90 PM 0.02$$ACCURACY IN THE MULTI-CLASSIFICATION EXPERIMENT AND ALSO $$0.94 PM 0.01$$WHEN CONSIDERING ONLY ACCEPTABLE ECG AGAINST THE OTHER THREE CLASSES. ALSO, WE PRESENTED A COMPLEMENTARY EXPERIMENT SHOWING THAT, AFTER REMOVING NOISY SEGMENTS, WE IMPROVED MORPHOLOGICAL RECOGNITION (BASED ON QRS WAVE) BY 33% OF THE ENTIRE ECG DATA. THE PROPOSED NOISE DETECTOR MAY BE APPLIED AS A USEFUL TOOL FOR PRE-PROCESSING CHAGASIC ECG SIGNALS.<\/p>","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","format":"standard","class_list":["post-433993","tnc_col_19837_item","type-tnc_col_19837_item","status-publish","format-standard","hentry","tnc_tax_19993-sdg-3-good-health-and-well-being","tnc_tax_19818-english","tnc_tax_19716-faculty-of-business-and-law","tnc_tax_19659-booksection"],"taxonomy_info":[],"featured_image_src_large":false,"author_info":[],"comment_info":0,"featured_img":false,"coauthors":[],"author_meta":{"author_link":"https:\/\/library.usj.edu.mo\/zh\/author\/emilychan\/","display_name":"emily chan"},"relative_dates":{"created":"Posted 1 \u9031 ago","modified":"Updated 7 \u5929 ago"},"absolute_dates":{"created":"Posted on 24 8 \u6708, 2026","modified":"Updated on 24 8 \u6708, 2026"},"absolute_dates_time":{"created":"Posted on 24 8 \u6708, 2026 5:23 \u4e0b\u5348","modified":"Updated on 24 8 \u6708, 2026 6:33 \u4e0b\u5348"},"featured_img_caption":"","tax_additional":{"tnc_tax_19993":{"linked":["<a href=\"https:\/\/library.usj.edu.mo\/zh\/sdgs\/sdg-3-good-health-and-well-being\/\" class=\"advgb-post-tax-term\">SDG 3 Good Health and Well-being<\/a>"],"unlinked":["<span class=\"advgb-post-tax-term\">SDG 3 Good Health and Well-being<\/span>"],"slug":"tnc_tax_19993","name":"SDGs"},"tnc_tax_19818":{"linked":["<a href=\"https:\/\/library.usj.edu.mo\/zh\/language\/english\/\" class=\"advgb-post-tax-term\">ENGLISH<\/a>"],"unlinked":["<span class=\"advgb-post-tax-term\">ENGLISH<\/span>"],"slug":"tnc_tax_19818","name":"LANGUAGE"},"tnc_tax_19716":{"linked":["<a href=\"https:\/\/library.usj.edu.mo\/zh\/faculty-research-unit\/faculty-of-business-and-law\/\" class=\"advgb-post-tax-term\">FACULTY OF BUSINESS AND LAW<\/a>"],"unlinked":["<span class=\"advgb-post-tax-term\">FACULTY OF BUSINESS AND LAW<\/span>"],"slug":"tnc_tax_19716","name":"FACULTY \/ RESEARCH UNIT"},"tnc_tax_19664":{"linked":[],"unlinked":[],"slug":"tnc_tax_19664","name":"SUBJECT"},"tnc_tax_19659":{"linked":["<a href=\"https:\/\/library.usj.edu.mo\/zh\/resource-type\/booksection\/\" class=\"advgb-post-tax-term\">Book Section<\/a>"],"unlinked":["<span class=\"advgb-post-tax-term\">Book Section<\/span>"],"slug":"tnc_tax_19659","name":"Document Type"}},"series_order":"","_links":{"self":[{"href":"https:\/\/library.usj.edu.mo\/zh\/wp-json\/wp\/v2\/tnc_col_19837_item\/433993","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/library.usj.edu.mo\/zh\/wp-json\/wp\/v2\/tnc_col_19837_item"}],"about":[{"href":"https:\/\/library.usj.edu.mo\/zh\/wp-json\/wp\/v2\/types\/tnc_col_19837_item"}],"replies":[{"embeddable":true,"href":"https:\/\/library.usj.edu.mo\/zh\/wp-json\/wp\/v2\/comments?post=433993"}],"version-history":[{"count":1,"href":"https:\/\/library.usj.edu.mo\/zh\/wp-json\/wp\/v2\/tnc_col_19837_item\/433993\/revisions"}],"predecessor-version":[{"id":436476,"href":"https:\/\/library.usj.edu.mo\/zh\/wp-json\/wp\/v2\/tnc_col_19837_item\/433993\/revisions\/436476"}],"wp:attachment":[{"href":"https:\/\/library.usj.edu.mo\/zh\/wp-json\/wp\/v2\/media?parent=433993"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}