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Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
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Sensors and Materials
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is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
Instructions to authors
English 日本語
Instructions for manuscript preparation
English 日本語
Template
English
Publisher
MYU K.K.
Sensors and Materials
1-23-3-303 Sendagi,
Bunkyo-ku, Tokyo 113-0022, Japan
Tel: 81-3-3827-8549
Fax: 81-3-3827-8547
MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.
MYU Research
(proofreading and recording)
MYU K.K.
(translation service)
The Art of Writing Scientific Papers
(How to write scientific papers)
(Japanese Only)
Sensors and Materials, Volume 38, Number 7(4) (2026)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 4331-4342
S&M4568 Research paper https://doi.org/10.18494/SAM6221 Published: July 31, 2026 Comparative Evaluation of Corrected QT Interval Correction Formulas Across Controlled Heart Rate Conditions for Electrocardiogram-based Diabetes Risk Stratification [PDF] OhSuk Yang and JongHwi Song (Received November 22, 2025; Accepted June 26, 2026) Keywords: QTc value, correction formula, heart rate condition, ECG-based diabetes risk stratification, Bazett, Fridericia, Sagie
In this study, we evaluated the heart-rate-independent performance of major corrected QT (QTc) interval correction formulas—Bazett, Fridericia, and Sagie—using electrocardiogram (ECG) waveforms collected at controlled heart rates (HRs) of 40, 60, 80, and 120 bpm. After converting raw hexadecimal ECG data into standardized signals, QT and RR intervals were extracted and QTc was computed separately for each formula. Empirical analysis showed that Fridericia formula provides the most stable, HR-independent QTc values, whereas Bazett formula displays pronounced HR-dependent distortion. These findings indicate that Fridericia is the most reliable correction method for ECG-based diabetes risk prediction, offering improved sensitivity and specificity for machine learning models.
Corresponding author: OhSuk Yang  This work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article OhSuk Yang and JongHwi Song, Comparative Evaluation of Corrected QT Interval Correction Formulas Across Controlled Heart Rate Conditions for Electrocardiogram-based Diabetes Risk Stratification, Sens. Mater., Vol. 38, No. 7, 2026, p. 4331-4342. |
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