Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Differentiation between LQT1 and LQT2 patients and unaffected subjects using 24-hour electrocardiographic recordings.

The American journal of cardiology - 15 Mar 2002

Viitasalo Matti, Oikarinen Lasse, Väänänen Heikki, Swan Heikki, Piippo Kirsi, Kontula Kimmo, Barron Hal V, Toivonen Lauri, Scheinman Melvin M

Abstract excerpt

This study assesses the use of 24-hour ambulatory electrocardiographic recordings in distinguishing patients with long-QT1 syndrome (LQT1) from those with LQT2, and for distinguishing affected from unaffected patients. The diagnoses of the congenital LQT syndrome and its most common types LQT1 an...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Adolescent
Share to Child
Share to Circadian Rhythm

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Diagnosis, Differential

Share to Electrocardiography, Ambulatory

Share to Heart Conduction System

Share to Long QT Syndrome

Share to Sensitivity and Specificity

Source

Identifiers

PMID: 11897209
DOI: 10.1016/s0002-9149(01)02339-6

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026. Prepared record publication-11897209-2026-09-02.2. Manifest publication-graph-cohort-2026-09-02.2.

Source receipt: PubMed via Helena Literature Corpus, retrieved 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Differentiation between LQT1 and LQT2 patients and unaffected subjects using 24-hour electrocardiographic recordings.PMID 11897209Read ↗

A quantitative assessment of T-wave morphology in LQT1, LQT2, and healthy individuals based on Holter recording technology.Semantic proximity Read ↗

Differential diagnosis between LQT1 and LQT2 by QT/RR relationships using 24-hour Holter monitoring: a multicenter cross-sectional studySemantic proximity Read ↗

Identification of Concealed and Manifest Long QT Syndrome Using a Novel T Wave Analysis Program.Semantic proximity Read ↗

Electrocardiographic Discrimination of Long QT Syndrome Genotypes: A Comparative Analysis and Machine Learning ApproachSemantic proximity Read ↗

Evaluation of QT interval duration and dispersion and proposed clinical criteria in diagnosis of long QT syndrome in patients with a genetically uniform type of LQT1.Semantic proximity Read ↗

Derivation and Validation of a Simple Exercise-Based Algorithm for Prediction of Genetic Testing in Relatives of LQTS ProbandsSemantic proximity Read ↗

T-Wave Morphology Analysis in Congenital Long QT Syndrome Discriminates Patients From Healthy Individuals.Semantic proximity Read ↗

Ambulatory electrocardiographic evidence of transmural dispersion of repolarization in patients with long-QT syndrome type 1 and 2.Semantic proximity Read ↗

Differentiating long QT syndrome genotypes using electrocardiographic geometric parameterization and machine learning approaches.Semantic proximity Read ↗

Classification of the long-QT syndrome based on discriminant analysis of T-wave morphology.Semantic proximity Read ↗

Identification and genotype related classification of children with long QT-syndrome using 24 h Holter recordings.Semantic proximity Read ↗

Repolarization morphology in adult LQT2 carriers with borderline prolonged QTc interval.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.