ArticleCardiovascular engineering and technology2022
ECG Signal Quality Assessments of a Small Bipolar Single-Lead Wearable Patch Sensor.
Article in Cardiovascular engineering and technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 7 papers.
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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.
Validation of Electrocardiogram Waveform, Heart Rate Accuracy and Arrhythmia Diagnosis Concordance in Patients With Cardiac Arrhythmia Using Single-channel ECG Monitoring Patch and Holter Monitoring
Validation of Electrocardiogram Waveform, Heart Rate Accuracy and Arrhythmia Diagnosis Concordance for Pediatric Patients Using Single-channel ECG Monitoring Patch and Holter Monitoring
Who cites it
7 citing papers in PubMed, 17 citations in OpenAlex.
- Towards bioelectric signal-enabled human healthcare monitoring: state-of-the-art, design strategies, challenge, and future.npj biomedical innovations · 2026Review
- Wear Your Heart on Your Sleeve: Smart Textile ECG Wearables for Comfort, Integration, Signal Quality and Continuous Monitoring in Paroxysmal Atrial Fibrillation.Sensors (Basel, Switzerland) · 2025Review
- Artificial intelligence for hemodynamic monitoring with a wearable electrocardiogram monitor.Communications medicine · 2025Article
- Detecting QT prolongation from a single-lead ECG with deep learning.PLOS digital health · 2024Article
- Strength of ensemble learning in automatic sleep stages classification using single-channel EEG and ECG signals.Medical & biological engineering & computing · 2024Article
- Sensitivity of Electrocardiogram on Electrode-Pair Locations for Wearable Devices: Computational Analysis of Amplitude and Waveform Distortion.Biosensors · 2024Article
- Wireless Single-Lead versus Standard 12-Lead ECG, for ST-Segment Deviation during Adenosine Cardiac Stress Scintigraphy.Sensors (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThere is an increasing clinical interest in the adoption of small single-lead wearable ECG sensors for continuous cardiac monitoring. The purpose of this work is to assess ECG signal quality of such devices compared to gold standard 12-lead ECG.
methodsThe ECG signal from a 1-lead patch was systematically compared to the 12-lead ECG device in thirty subjects to establish its diagnostic accuracy in terms of clinically relevant signal morphology, wave representation, fiducial markers and interval and wave duration. One minute ECG segments with good signal quality was selected for analysis and the features of ECG were manually annotated for comparative assessment.
resultsThe patch showed closest similarity based on correlation and normalized root-mean-square error to the standard ECG leads I, II, [Formula: see text] and [Formula: see text]. P-wave and QRS complexes in the patch showed sensitivity (Se) and positive predictive value (PPV) of at least 99.8% compared to lead II. T-wave representation showed Se and PPV of at least 99.9% compared to lead [Formula: see text] and [Formula: see text]. Mean errors for onset and offset of the ECG waves, wave durations, and ECG intervals were within 2 samples based on 125Hz patch ECG sampling frequency.
conclusionThis study demonstrates the diagnostic capability with similar morphological representation and reasonable timing accuracy of ECG signal from a patch sensor compared to 12-lead ECG. The advantages and limitations of small bipolar single-lead wearable patch sensor compared to 12-lead ECG are discussed in the context of relevant differences in ECG signal for clinical applications.
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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.