{"id":{"repo_id":"vt","oai_identifier":"oai:vtechworks.lib.vt.edu:10919/74463"},"canonical_url":"https://search.dev.ndltd.org/etd/vt/oai:vtechworks.lib.vt.edu:10919/74463","repository":{"repo_id":"vt","name":"Virginia Tech","base_url":"https://vtechworks.lib.vt.edu/oai/request"},"display":{"title":"Computer-aided electrocardiogram analysis","abstract":"An electrocardiogram analysis package is developed in this thesis. A parabolic smoothing with pre-set threshold for attenuating effects on high frequency components is applied. The GF and operational transforms are studied and examined for their constraints, applications and flexibility. These transforms are modified and adapted for recognition of QRS onset and offset in the Frank Orthogonal Lead System. An algorithm, based on a set of pre-set criteria and thresholds, is developed. Various clinical parameters, vectors and files for analysis. such as segment or wave intervals, magnitude, areas etc. are generated together with data two-dimensional and three-dimensional graphic In addition. a general purpose graphic package is supplied to create the vector displays for ECG analysis. The algorithm has been tested on three hundred cardiac cycles taken from ten patients with both normal and abnormal ECG characteristics.","abstract_html":"An electrocardiogram analysis package is developed in this thesis. A parabolic smoothing with pre-set threshold for attenuating effects on high frequency components is applied. The GF and operational transforms are studied and examined for their constraints, applications and flexibility. These transforms are modified and adapted for recognition of QRS onset and offset in the Frank Orthogonal Lead System. An algorithm, based on a set of pre-set criteria and thresholds, is developed. Various clinical parameters, vectors and files for analysis. such as segment or wave intervals, magnitude, areas etc. are generated together with data two-dimensional and three-dimensional graphic In addition. a general purpose graphic package is supplied to create the vector displays for ECG analysis. The algorithm has been tested on three hundred cardiac cycles taken from ten patients with both normal and abnormal ECG characteristics.","abstract_has_math":false,"creators":["Pan, Peter H."],"institution":"Virginia Polytechnic Institute and State University","degree_name":"Master of Science","degree_level":"masters","degree_discipline":"Electrical Engineering","degree_department":"Electrical Engineering","school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":1980,"date_issued":"1980","date_published":"1980","updated_at":"2026-07-22T22:18:55Z","subjects":[],"languages":["en_US"],"rights":["In Copyright"],"rights_urls":["http://rightsstatements.org/vocab/InC/1.0/"],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10919/74463","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.department","label":"Department","values":["Electrical Engineering"]},{"key":"dc:creator","label":"Author","values":["Pan, Peter H."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2017-01-30T21:02:13Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2017-01-30T21:02:13Z"]},{"key":"dc:date.issued","label":"Date","values":["1980"]},{"key":"dc:publisher","label":"Institution","values":["Virginia Polytechnic Institute and State University"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"dc:type.dcmitype","label":"Dc Type Dcmitype","values":["Text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["masters"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Virginia Polytechnic Institute and State University"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en_US"]},{"key":"dc:rights","label":"Dc Rights","values":["In Copyright"]},{"key":"dc:rights.uri","label":"Rights URI","values":["http://rightsstatements.org/vocab/InC/1.0/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/10919/74463"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["An electrocardiogram analysis package is developed in this thesis. A parabolic smoothing with pre-set threshold for attenuating effects on high frequency components is applied. The GF and operational transforms are studied and examined for their constraints, applications and flexibility. These transforms are modified and adapted for recognition of QRS onset and offset in the Frank Orthogonal Lead System. An algorithm, based on a set of pre-set criteria and thresholds, is developed. Various clinical parameters, vectors and files for analysis. such as segment or wave intervals, magnitude, areas etc. are generated together with data two-dimensional and three-dimensional graphic In addition. a general purpose graphic package is supplied to create the vector displays for ECG analysis. The algorithm has been tested on three hundred cardiac cycles taken from ten patients with both normal and abnormal ECG characteristics."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["Master of Science"]},{"key":"dc:format.mimetype","label":"Dc Format Mimetype","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Computer-aided electrocardiogram analysis"]}]}],"canonical_facts":{"dc:contributor.department":["Electrical Engineering"],"dc:creator":["Pan, Peter H."],"dc:date.accessioned":["2017-01-30T21:02:13Z"],"dc:date.available":["2017-01-30T21:02:13Z"],"dc:date.issued":["1980"],"dc:description.abstract":["An electrocardiogram analysis package is developed in this thesis. A parabolic smoothing with pre-set threshold for attenuating effects on high frequency components is applied. The GF and operational transforms are studied and examined for their constraints, applications and flexibility. These transforms are modified and adapted for recognition of QRS onset and offset in the Frank Orthogonal Lead System. An algorithm, based on a set of pre-set criteria and thresholds, is developed. Various clinical parameters, vectors and files for analysis. such as segment or wave intervals, magnitude, areas etc. are generated together with data two-dimensional and three-dimensional graphic In addition. a general purpose graphic package is supplied to create the vector displays for ECG analysis. 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