ArticleBiomedical engineering online2018
A new approach for analysis of heart rate variability and QT variability in long-term ECG recording.
Article in Biomedical engineering online, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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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
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Association of alternative polysomnographic features with patient outcomes in obstructive sleep apnea: a systematic review.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2023Pooled it
- Article
- Photoplethysmography-Based Respiratory Rate Estimation Algorithm for Health Monitoring Applications.Journal of medical and biological engineering · 2022Article
- Novel Insights Into the Interaction Between the Autonomic Nervous System and Inflammation on Coronary Physiology: A Quantitative Flow Ratio Study.Frontiers in cardiovascular medicine · 2021Article
- Heart Rate Variability and Cardiovascular Fitness: What We Know so Far.Vascular health and risk management · 2021Review
- An Analysis of the Effects of Noisy Electrocardiogram Signal on Heartbeat Detection Performance.Bioengineering (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
background and purposeWith the emergence of long-term electrocardiogram (ECG) recordings that extend several days beyond the typical 24-48 h, the development of new tools to measure heart rate variability (HRV) and QT variability is needed to utilize the full potential of such extra-long-term ECG recordings.
methodsIn this report, we propose a new nonlinear time-frequency analysis approach, the concentration of frequency and time (ConceFT), to study the HRV QT variability from extra-long-term ECG recordings. This approach is a generalization of Short Time Fourier Transform and Continuous Wavelet Transform approaches.
resultsAs proof of concept, we used 14-day ECG recordings to show that the ConceFT provides a sharpened and stabilized spectrogram by taking the phase information of the time series and the multitaper technique into account.
conclusionThe ConceFT has the potential to provide a sharpened and stabilized spectrogram for the heart rate variability and QT variability in 14-day ECG recordings.
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Registered trials
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