Electrocardiographic parameter profiles for differentiating hypertrophic cardiomyopathy stages

As HCM progresses to dHCM, a shift in HPI from the ST-T segment to the QRS complex provides clinically relevant insights. For HCM subtypes, the top 10 ECG parameters yield predictive performance similar to the full parameter set, supporting efficient approaches for AI-based diagnostic models.

Authors

Institutions

Publication Details

Journal
Journal of Arrhythmia
Published
2025-03-04
DOI
https://doi.org/10.1002/joa3.70031
Citations
3
Primary Topic
Cardiomyopathy and Myosin Studies
Type
article
Field-Weighted Citation Impact
4.16
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Electrocardiographic parameter profiles for differentiating hypertrophic cardiomyopathy stages

Takayuki Otsuka, Tokuhisa Uejima, Naoharu Yagi, Takuto Arita et al.
3 citations
Journal of Arrhythmia
Cardiomyopathy and Myosin Studies
4.16
article

Electrocardiographic parameter profiles for differentiating hypertrophic cardiomyopathy stages

Takayuki Otsuka, Tokuhisa Uejima, Naoharu Yagi, Takuto Arita, Junji Yajima, Shinya Suzuki, Yuko Kato, Takeshi Yamashita, Naomi Hirota, Hiroto Kano, Shunsuke Matsuno, Mikio Kishi, Hiroaki Semba, Yuji Oikawa
article en
3 citations

Abstract

As HCM progresses to dHCM, a shift in HPI from the ST-T segment to the QRS complex provides clinically relevant insights. For HCM subtypes, the top 10 ECG parameters yield predictive performance similar to the full parameter set, supporting efficient approaches for AI-based diagnostic models.

Journal of ArrhythmiaVol. 41(2)
Cardiovascular Institute Hospital (JP)
Openalex Percentile: Top 7%
Cardiomyopathy and Myosin Studies
4.16
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.