ECG baseline drift correction through phase space for simple R-point detection

Plesnik, Emil; Malgina, Olga; Tasič, J.F.; Zajc, Matej

doi:10.1109/cbms.2012.6266307

Cited by 4 publications

(2 citation statements)

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“…VI. CONCLUSION This paper extends the approach for removing baseline wandering from ECG signal based on shifting in the phase space [15]. After removal in the phase space accurate detection of R points is possible.…”

Section: Resultsmentioning

confidence: 97%

Improved removal of electrocardiogram baseline wandering

et al. 2013

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Baseline wandering interference causes inaccurate detection of electrocardiogram (ECG) characteristics such as detection of the R point. This paper presents a novel phase spacebased approach for baseline wandering removal of ECG signals. The baseline wander contaminated ECG signal is transformed to the phase space by using the signal derivative. Baseline wandering was eliminated by shifting loops of the ECG phase portrait on a predefined fixed position. This resulted in signal discontinuities in time domain which were solved using linear correction. The method was evaluated on synthetized ECG signals and on signals from the MIT-BIH database. Results show an improvement of signal-to-noise ratio after baseline wandering removal in phase space, comparable with related works, and efficient elimination of time-domain discontinuities in time domain.

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Section: Resultsmentioning

confidence: 97%

Improved removal of electrocardiogram baseline wandering

et al. 2013

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“…The movement of the human body will cause a baseline drift in the ECG signal during the acquisition process of ECG data using a portable device. The baseline offset belongs to low-frequency interference [38], whose spectrum is generally below 0.5 Hz. The baseline drift signal is shown in Fig.…”

Section: ) Baseline Driftmentioning

confidence: 99%

Robust Multistage ECG Identification for Astronaut Spacesuits With IoT Applications

et al. 2019

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Today, the Internet of Things (IOT) concept is gaining much attention and popularity; The related technologies as spacesuits and embedded ECG acquisition device is already existed. However, there are important issues to be resolved when an application is in a space environment. The ECG signal may be measured by different mobile conditions when embedded in spacesuits, requiring a more robust algorithm to remove exercise and noise issues. Thus, we propose a more complete architecture with a new storing polymorphic average template (SPAT) and a multistage identification algorithm (MIA) to improve the robustness of ECG identification in motion. In addition, we select better combinations of de-noising and feature extractions to create a better and more complete architecture. According to our experimental results, our proposed architecture offers better performance than previous adaptive boosting (AdaBoost) methods; thus, it is also suitable for application in astronaut spacesuits.

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Baseline drift correction and heart rate estimation using Histogram technique

Dutta

Kar

2017

2017 International Conference on Innovations in Electronics, Signal Processing and Communication (IESC)

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ECG baseline drift correction through phase space for simple R-point detection

Cited by 4 publications

References 10 publications

Improved removal of electrocardiogram baseline wandering

Improved removal of electrocardiogram baseline wandering

Robust Multistage ECG Identification for Astronaut Spacesuits With IoT Applications

Baseline drift correction and heart rate estimation using Histogram technique

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