ArticleSensors (Basel, Switzerland)2018
Evaluation of a Multichannel Non-Contact ECG System and Signal Quality Algorithms for Sleep Apnea Detection and Monitoring.
Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 citations in OpenAlex.
- A Systematic Review of Design of Electrodes and Interfaces for Non-Contact and Capacitive Biomedical Measurements: Terminology, Electrical Model, and System Analysis.Sensors (Basel, Switzerland) · 2026Pooled it
- Activity Type Effects Signal Quality in Electrocardiogram Devices.Sensors (Basel, Switzerland) · 2025Article
- A Review of Patient Bed Sensors for Monitoring of Vital Signs.Sensors (Basel, Switzerland) · 2024Review
- Dependence of Skin-Electrode Contact Impedance on Material and Skin Hydration.Sensors (Basel, Switzerland) · 2022Article
- Robustness of electrocardiogram signal quality indices.Journal of the Royal Society, Interface · 2022Review
- Data Augmentation and Transfer Learning for Data Quality Assessment in Respiratory Monitoring.Frontiers in bioengineering and biotechnology · 2022Article
- A signal quality assessment-based ECG waveform delineation method used for wearable monitoring systems.Medical & biological engineering & computing · 2021Article
- Capacitively-Coupled ECG and Respiration for Sleep-Wake Prediction and Risk Detection in Sleep Apnea Patients.Sensors (Basel, Switzerland) · 2021Article
- Classification of Sleep Apnea Based on Sub-Band Decomposition of EEG Signals.Diagnostics (Basel, Switzerland) · 2021Article
- Automatic Detection of Atrial Fibrillation in ECG Using Co-Occurrence Patterns of Dynamic Symbol Assignment and Machine Learning.Sensors (Basel, Switzerland) · 2021Article
- Supervised SVM Transfer Learning for Modality-Specific Artefact Detection in ECG.Sensors (Basel, Switzerland) · 2021Article
- Noncontact ECG Monitoring by Capacitive Coupling of Textiles in a Chair.Journal of healthcare engineering · 2021Article
- Contact-free sensor signals as a new digital biomarker for cardiovascular disease: chances and challenges.European heart journal. Digital health · 2020Review
- Electrode Humidification Design for Artifact Reduction in Capacitive ECG Measurements.Sensors (Basel, Switzerland) · 2020Article
- Comparison of Active Electrode Materials for Non-Contact ECG Measurement.Sensors (Basel, Switzerland) · 2019Article
- A Novel CNN-Based Framework for Classification of Signal Quality and Sleep Position from a Capacitive ECG Measurement.Sensors (Basel, Switzerland) · 2019Article
- Design of a Wearable 12-Lead Noncontact Electrocardiogram Monitoring System.Sensors (Basel, Switzerland) · 2019Article
- Adaptive Noise Reduction Algorithm to Improve R Peak Detection in ECG Measured by Capacitive ECG Sensors.Sensors (Basel, Switzerland) · 2018Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sleep-related conditions require high-cost and low-comfort diagnosis at the hospital during one night or longer. To overcome this situation, this work aims to evaluate an unobtrusive monitoring technique for sleep apnea. This paper presents, for the first time, the evaluation of contactless capacitively-coupled electrocardiography (ccECG) signals for the extraction of sleep apnea features, together with a comparison of different signal quality indicators. A multichannel ccECG system is used to collect signals from 15 subjects in a sleep environment from different positions. Reference quality labels were assigned for every 30-s segment. Quality indicators were calculated, and their signal classification performance was evaluated. Features for the detection of sleep apnea were extracted from capacitive and reference signals. Sleep apnea features related to heart rate and heart rate variability achieved high similarity to the reference values, with
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Registered trials
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.