ReviewMedical & biological engineering & computing2016
A review of methods for the signal quality assessment to improve reliability of heart rate and blood pressures derived parameters.
Review in Medical & biological engineering & computing, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 47 citations in OpenAlex.
- Clinical Evaluation of the ECG Noise Extraction Tool as a Component of ECG Analysis Algorithms Evaluation.IEEE transactions on bio-medical engineering · 2025Article
- Continuous sepsis trajectory prediction using tensor-reduced physiological signals.Scientific reports · 2024Article
- Arterial pulse wave modeling and analysis for vascular-age studies: a review from VascAgeNet.American journal of physiology. Heart and circulatory physiology · 2023Review
- LSTM-based real-time signal quality assessment for blood volume pulse analysis.Biomedical optics express · 2023Article
- Computational approaches to alleviate alarm fatigue in intensive care medicine: A systematic literature review.Frontiers in digital health · 2022Review
- [A heart rate detection method for wearable electrocardiogram with the presence of motion interference].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2021Article
- Assessing Electrocardiogram and Respiratory Signal Quality of a Wearable Device (SensEcho): Semisupervised Machine Learning-Based Validation Study.JMIR mHealth and uHealth · 2021Article
- Autoencoder-Based Extrasystole Detection and Modification of RRI Data for Precise Heart Rate Variability Analysis.Sensors (Basel, Switzerland) · 2021Article
- Symmetric Projection Attractor Reconstruction: Sex Differences in the ECG.Frontiers in cardiovascular medicine · 2021Article
- Two-Electrode ECG for Ambulatory Monitoring with Minimal Hardware Complexity.Sensors (Basel, Switzerland) · 2020Article
- Deep learning approaches for plethysmography signal quality assessment in the presence of atrial fibrillation.Physiological measurement · 2019Article
- Episodic Ultradian Events-Ultradian Rhythms.Biology · 2019Review
- SPECMAR: fast heart rate estimation from PPG signal using a modified spectral subtraction scheme with composite motion artifacts reference generation.Medical & biological engineering & computing · 2019Article
- Wearable sensors for monitoring the physiological and biochemical profile of the athlete.NPJ digital medicine · 2019Review
- Nontraditional Electrocardiogram and Algorithms for Inconspicuous In-Home Monitoring: Comparative Study.JMIR mHealth and uHealth · 2018Article
- Game Theoretic Approach for Systematic Feature Selection; Application in False Alarm Detection in Intensive Care Units.Entropy (Basel, Switzerland) · 2018Article
- A method to extract realistic artifacts from electrocardiogram recordings for robust algorithm testing.Journal of electrocardiologyArticle
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The assessment of signal quality has been a research topic since the late 1970s, as it is mainly related to the problem of false alarms in bedside monitors in the intensive care unit (ICU), the incidence of which can be as high as 90 %, leading to alarm fatigue and a drop in the overall level of nurses and clinicians attention. The development of efficient algorithms for the quality control of long diagnostic electrocardiographic (ECG) recordings, both single- and multi-lead, and of the arterial blood pressure (ABP) signal is therefore essential for the enhancement of care quality. The ECG signal is often corrupted by noise, which can be within the frequency band of interest and can manifest similar morphologies as the ECG itself. Similarly to ECG, also the ABP signal is often corrupted by non-Gaussian, nonlinear and non-stationary noise and artifacts, especially in ICU recordings. Moreover, the reliability of several important parameters derived from ABP such as systolic blood pressure or pulse pressure is strongly affected by the quality of the ABP waveform. In this work, several up-to-date algorithms for the quality scoring of a single- or multi-lead ECG recording, based on time-domain approaches, frequency-domain approaches or a combination of the two will be reviewed, as well as methods for the quality assessment of ABP. Additionally, algorithms exploiting the relationship between ECG and pulsatile signals, such as ABP and photoplethysmographic recordings, for the reduction in the false alarm rate will be presented. Finally, some considerations will be drawn taking into account the large heterogeneity of clinical settings, applications and goals that the reviewed algorithms have to deal 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.