ArticleScientific data2018
An optimal filter for short photoplethysmogram signals.
Article in Scientific data, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 2 of them syntheses that pooled it.
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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.
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Who cites it
71 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Wearable Blood Pressure Monitoring Devices: Understanding Heterogeneity in Design and Evaluation.IEEE transactions on bio-medical engineering · 2024Pooled it
- Assessment of Blood Pressure Using Only a Smartphone and Machine Learning Techniques: A Systematic Review.Frontiers in cardiovascular medicine · 2022Pooled it
- Comprehensive Mitigation of Peripheral and Central Stress Responses by Nx4: Insights From EEG and Heart Rate Variability in Post-Stress Resting State.Human psychopharmacology · 2025Trial
- Experimental Analysis on the Effect of Contact Pressure and Activity Level as Influencing Factors in PPG Sensor Performance.Sensors (Basel, Switzerland) · 2025Trial
- Demographic subgroup-aware analysis of blood pressure predictive models.PLOS digital health · 2026Article
- Heart rate synchrony as an objective biomarker in psychotherapy: a wearable-based pilot study.European archives of psychiatry and clinical neuroscience · 2026Article
- Harmonic-Selective Gaussian Filtering for Morphology and Timing Preservation in PPG Signals.Sensors (Basel, Switzerland) · 2026Article
- Signal Quality of Reflective-Mode Photoplethysmograms Across Anatomical Sites.Sensors (Basel, Switzerland) · 2026Article
- A Comparative Study of Signal Representations Methods and Deep Learning Architectures for PPG-Based Cuffless Blood Pressure Estimation.Sensors (Basel, Switzerland) · 2026Article
- Feasibility of forecasting self-injurious behavior among autistic youth using wearable sensors and machine learning models.Scientific reports · 2026Article
- A Four-Wavelength Photoplethysmography dataset for non-invasive hemoglobin assessment.Scientific data · 2026Article
- Vascular waveform analysis using Bayesian pulse deconvolution.bioRxiv : the preprint server for biology · 2026Article
- Photoplethysmography acceleration indices as digital biomarkers of cardiometabolic health.Frontiers in digital health · 2026Article
- Real-Time Subject-Specific Predictive Modeling of PPG Signals for Artifact-Resilient SpO2 Estimation Under Hypoxia.Sensors (Basel, Switzerland) · 2025Article
- Data Reduction Methodology for Dynamic Characteristic Extraction in Photoplethysmogram.Sensors (Basel, Switzerland) · 2025Article
- Toward accurate estimation of respiratory rate from the photoplethysmogram: effect of different window period of PPG signals.Physical and engineering sciences in medicine · 2025Article
- Exploring supervised machine learning models to estimate blood pressure using non-fiducial features of the photoplethysmogram (PPG) and its derivatives.Physical and engineering sciences in medicine · 2025Article
- Prescreening depression using wearable electrocardiogram and photoplethysmogram data from a psycholinguistic experiment.Physiological measurement · 2025Article
- A Touch Enabled Hemodynamic and Metabolic Monitor.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Characterizing the influence of skin pigmentation on pulse oximetry.Biophotonics discovery · 2025Article
11 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A photoplethysmogram (PPG) contains a wealth of cardiovascular system information, and with the development of wearable technology, it has become the basic technique for evaluating cardiovascular health and detecting diseases. However, due to the varying environments in which wearable devices are used and, consequently, their varying susceptibility to noise interference, effective processing of PPG signals is challenging. Thus, the aim of this study was to determine the optimal filter and filter order to be used for PPG signal processing to make the systolic and diastolic waves more salient in the filtered PPG signal using the skewness quality index. Nine types of filters with 10 different orders were used to filter 219 (2.1s) short PPG signals. The signals were divided into three categories by PPG experts according to their noise levels: excellent, acceptable, or unfit. Results show that the Chebyshev II filter can improve the PPG signal quality more effectively than other types of filters and that the optimal order for the Chebyshev II filter is the 4
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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.