Evidence map›Paper›PMID 42666434›Full record

ArticleFrontiers in cardiovascular medicine2026

Enhanced ECG signal based on heart rate variability: validation of the direct TR correction sequence in diabetes.

Shanglin Yang, Hongbin Zhou, Xuwei Liao, Yuyang Lin, Juin J Liou

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Article in Frontiers in cardiovascular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

5 authors.

Shanglin YangSchool of Electrical and Information Engineering, North Minzu University, Yinchuan, Ningxia, China.
Hongbin ZhouSchool of Electrical and Information Engineering, North Minzu University, Yinchuan, Ningxia, China.
Xuwei LiaoSchool of Electrical and Information Engineering, North Minzu University, Yinchuan, Ningxia, China.
Yuyang LinSchool of Electrical and Information Engineering, North Minzu University, Yinchuan, Ningxia, China.
Juin J LiouSchool of Electrical and Information Engineering, North Minzu University, Yinchuan, Ningxia, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Heart rate variability (HRV) is a critical biomarker for assessing autonomic dysfunction, particularly in elderly and type 2 diabetes mellitus (T2DM) populations. However, traditional HRV indices, derived from R-R intervals (RRIs), often fail to detect subtle autonomic dysfunction in complex clinical scenarios. This study proposes a novel Direct TRI Correction (DTRC) sequence to optimize HRV assessment by directly extracting TR intervals (DTRI) and applying a single-step correction. The aim is to enhance accuracy in evaluating HRV, particularly in elderly and T2DM cohorts, where early detection is critical for preventing cardiovascular complications. Methods: The study enrolled 124 participants (60 T2DM patients and 64 healthy controls) stratified into three groups based on glycemic control. HRV indices were derived from traditional RRI sequences, two-step corrected TRC sequences, and the novel single-step corrected DTRC sequences, respectively. Statistical analyses were performed on the HRV indices of three sequences to evaluate the comparative performance of DTRC sequences. Results: DTRC-based HRV indices demonstrated superior sensitivity and discriminative capability compared to both RRI-based and TRC-based HRV indices. Significant improvements were observed in RMSSD ( Conclusions: The DTRC sequence significantly enhances HRV assessment accuracy, offering a reliable tool for early detection of autonomic dysfunction in high-risk populations. Its simplified correction process and improved sensitivity hold promise for clinical diagnostics and wearable health monitoring applications.

Indexed as

autonomic dysfunctionDTRC sequencehealth monitoringHRVtype 2 diabetes mellitus

Identifiers

PMID42666434
PMCPMC13522768

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.