Evidence map›Paper›PMID 42740130›Full record

ArticleSensors (Basel, Switzerland)2026

Development and Clinical Evaluation of a Wearable 12-Lead Electrocardiographic Platform with Automated ECG Analysis for Telemedicine Applications.

Zhadyra Alimbayeva, Chingiz Alimbayev, Kassymbek Ozhikenov, Kairat Karibayev, Aiman Ozhikenova, Kymbat Khaidarova, Madiyar Daniyalov, Ussen Shylmyrza, Yerbolat Igembay, Akzhol Nurdanali

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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

10 authors.

Zhadyra AlimbayevaDepartment of Robotics and Technical Means of Automation, Satbayev University, Almaty 050013, Kazakhstan.ORCID 0000-0002-2628-2515
Chingiz AlimbayevDepartment of Robotics and Technical Means of Automation, Satbayev University, Almaty 050013, Kazakhstan.
Kassymbek OzhikenovDepartment of Robotics and Technical Means of Automation, Satbayev University, Almaty 050013, Kazakhstan.
Kairat KaribayevDepartment of Robotics and Technical Means of Automation, Satbayev University, Almaty 050013, Kazakhstan.
Aiman OzhikenovaDepartment of Robotics and Technical Means of Automation, Satbayev University, Almaty 050013, Kazakhstan.
Kymbat KhaidarovaDepartment of Robotics and Technical Means of Automation, Satbayev University, Almaty 050013, Kazakhstan.
Madiyar DaniyalovDepartment of Robotics and Technical Means of Automation, Satbayev University, Almaty 050013, Kazakhstan.ORCID 0009-0004-0698-5362
Ussen ShylmyrzaDepartment of Robotics and Technical Means of Automation, Satbayev University, Almaty 050013, Kazakhstan.ORCID 0009-0006-6875-0133
Yerbolat IgembayDepartment of Robotics and Technical Means of Automation, Satbayev University, Almaty 050013, Kazakhstan.ORCID 0000-0002-8762-2202
Akzhol NurdanaliDepartment of Robotics and Technical Means of Automation, Satbayev University, Almaty 050013, Kazakhstan.

Funding

Ministry of Science and Higher Education of the Republic of Kazakhstan AP23485820
6 · The paper itself

Abstract

Wearable electrocardiographic technologies have become increasingly important for continuous cardiac monitoring; however, most existing portable systems are limited by the number of recorded leads or provide only basic signal acquisition without advanced automated analysis. This study presents a third-generation wearable twelve-lead electrocardiographic platform developed for multilead ECG acquisition and automated spatial ECG analysis. Compared with the previous generation, the hardware modification primarily consists of architectural consolidation: functions previously distributed across an STM32 microcontroller and separate wireless communication modules are integrated into a single ESP32-S3-based architecture, while the ECG acquisition principle, ten-electrode configuration, and sampling rate remain unchanged. The main methodological contribution of the present work is the software pipeline for lead-specific ST

Indexed as

ElectrocardiographyTelemedicineWearable Electronic DevicesHumansSignal Processing, Computer-AssistedSoftwareADS1298cardiovascular monitoringECG signal processingESP32-S3ST-segment analysistelemedicinetwelve-lead ECGwearable electrocardiography

Identifiers

PMID42740130
PMCPMC13567980

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.