Evidence map›Paper›PMID 41463645›Full record

ArticleBioengineering (Basel, Switzerland)2025

Design and Systematic Evaluation of a Multi-Layered Mattress System for Accurate, Unobtrusive Capacitive ECG Monitoring.

Rui Cui, Kaichen Wang, Xiongwen Zheng, Jiayi Li, Siheng Cao, Hongyu Chen, Wei Chen, Chen Chen, Jingchun Luo

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2025. 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

9 authors.

Rui CuiHuman Phenome Institute, Fudan University, Shanghai 200032, China.
Kaichen WangSchool of Information Science and Technology, Fudan University, Shanghai 200032, China.ORCID 0000-0002-1980-5234
Xiongwen ZhengSchool of Information Science and Technology, Fudan University, Shanghai 200032, China.ORCID 0009-0001-0320-0820
Jiayi LiHuman Phenome Institute, Fudan University, Shanghai 200032, China.
Siheng CaoHuman Phenome Institute, Fudan University, Shanghai 200032, China.
Hongyu ChenGreater Bay Area Institute of Precision Medicine, Guangzhou 511458, China.ORCID 0000-0003-4317-7554
Wei ChenSchool of Biomedical Engineering, The University of Sydney, Darlington, NSW 2006, Australia.ORCID 0000-0003-3720-718X
Chen ChenHuman Phenome Institute, Fudan University, Shanghai 200032, China.
Jingchun LuoHuman Phenome Institute, Fudan University, Shanghai 200032, China.

Funding

Greater Bay Area Institute of Precision Medicine (Guangzhou) IPM2021C011National Key Research and Development Program of China 2023YFC3603100/2023YFC3603102
6 · The paper itself

Abstract

Capacitive ECG (cECG) technology offers significant potential for improving comfort and unobtrusiveness in long-term cardiovascular monitoring. Nevertheless, current research predominantly emphasizes basic heart rate monitoring by detecting only the R-wave, thereby restricting its clinical applicability. In this study, we proposed an advanced cECG mattress system and conducted a systematic evaluation. To enhance user comfort and achieve more accurate cECG morphological features, we developed a multi-layered cECG mattress incorporating flexible fabric active electrodes, signal acquisition circuits, and specialized signal processing algorithms. We conducted experimental validation to evaluate the performance of the proposed system. The system exhibited robust performance across various sleeping positions (supine, right lateral, left lateral and prone), achieving a high average true positive rate (TPR) of 0.99, ensuring reliable waveform detection. The mean absolute error (MAE) remains low at 1.12 ms for the R wave, 7.89 ms for the P wave, and 7.88 ms for the T wave, indicating accurate morphological feature extraction. Additionally, the system maintains a low MAE of 0.89 ms for the RR interval, 7.77 ms for the PR interval, and 7.85 ms for the RT interval, further underscoring its reliability in interval measurements. Compared with medical-grade devices, the signal quality obtained by the cECG mattress system is sufficient to accurately identify the crucial waveform morphology and interval durations. Moreover, the user experience evaluation and durability test demonstrated that the mattress system performed reliably and comfortably. This study provides essential information and establishes a foundation for the clinical application of cECG technology in future sleep monitoring research.

Indexed as

active electrodesadaptive fourier decompositioncapacitive ECGflexible sensor

Identifiers

PMID41463645
PMCPMC12729658

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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.