Evidence map›Paper›PMID 42187447›Full record

ArticleBiosensors2026

Noninvasive Detection of Acute Hyperglycemia Using Signal from Wearable ECG Sensors Considering Individual HRV Response Delays to Glucose.

Jiho Ha, Ho Bin Hwang, Hayoung Kim, Seungyeon Lee, Jeyeon Lee, Jung Hwan Park, Jongshill Lee, In Young Kim

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Jiho HaDepartment of Electronic Engineering, Hanyang University, Seoul 04763, Republic of Korea.ORCID 0009-0004-1520-0635
Ho Bin HwangDepartment of Biomedical Engineering, Hanyang University, Seoul 04763, Republic of Korea.ORCID 0000-0002-8809-1597
Hayoung KimDivision of Intelligent Robot, Daegu Gyeongbuk Institute of Science and Technology, Daegu 42988, Republic of Korea.ORCID 0000-0001-6427-3954
Seungyeon LeeDepartment of Electronic Engineering, Hanyang University, Seoul 04763, Republic of Korea.ORCID 0009-0002-6438-0658
Jeyeon LeeDepartment of Biomedical Engineering, College of Medicine, Hanyang University, Seoul 04763, Republic of Korea.
Jung Hwan ParkDepartment of Internal Medicine, College of Medicine, Hanyang University, Seoul 04763, Republic of Korea.ORCID 0000-0003-3941-4836
Jongshill LeeDepartment of Biomedical Engineering, Hanyang University, Seoul 04763, Republic of Korea.ORCID 0000-0002-9884-9672
In Young KimDepartment of Biomedical Engineering, Hanyang University, Seoul 04763, Republic of Korea.ORCID 0000-0001-9580-7074

Funding

Korean National Police Agency RS-2022-PT000189
6 · The paper itself

Abstract

Noninvasive blood glucose monitoring is crucial for detecting early dysglycemia, yet continuous glucose monitors remain invasive and costly. Electrocardiogram (ECG) and its derived heart rate variability (HRV) measure may offer a noninvasive indicator of autonomic and cardiac responses associated with acute changes in glucose. In this study, 30 adults underwent a 75 g oral glucose tolerance test with concurrent ECG Holter and interstitial glucose monitoring. From these recordings, HRV and ECG features were extracted. A deep learning classifier with HRV and ECG was then trained to detect hyperglycemia (glucose ≥ 180 mg/dL). Cross-correlation analysis confirmed a significant association between HRV and glucose (Pearson r ~0.65,

Indexed as

ElectrocardiographyHeart RateHyperglycemiaWearable Electronic DevicesAdultBlood GlucoseFemaleGlucoseHumansMaleBlood GlucoseGlucosebiomedical engineeringblood glucosedeep learningdiabeteselectrocardiogramheart rate variabilityhyperglycemiaphysiology

Identifiers

PMID42187447
PMCPMC13205030

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Registered trials

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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.