06 January 2004
Suppression of power-line interference by analog notch filtering in the ECG signal for heart rate variability analysis: to do or not to do?Laszlo Hejjel
Med Sci Monit 2004; 10(1): MT6-13 :: ID: 11556
Background:Heart rate variability analysis has developed recently to a promising field of cardiology. Measures of heart rate variability can be corrupted by environmental noise or technical artifacts arising from analog and digital signal processinMaterial/Methods: The present investigation addressed the analysis of the effects of AC interference and its filtering on the precision and accuracy of heart rate detection. Artificial ECG recordings with predefined parameters were simulated by a computer and a data acquisition card, consecutively filtered by an analog notch filter (Q=2, 5 and 10) and digitized at 1 kHz by the same card ahead of and subsequent to the filter circuit. These latter signals were analyzed: the relative time points corresponding to the uncorrupted series at 7 points of the ventricular complexes were obtained and their means, standard deviations and maxima were computed separately.Results: The filtering of uncorrupted ECG signals does not result in heart rate period deviations greater than 1 ms. Power-line interference contamination proportionally alters the accuracy of representative point detection (maximal shift: 5% – 2 ms, 10% – 4 ms, 25% – 8 ms, 50% – 14 ms), which is consistently restored by notch filtering with a slight error (L1 ms on the ascending slope and at the peak). The descending slope is more distorted at filter Q=2 and at lower ventricular complex width; however this is constant, which also results in reliable RR-interval detection.Conclusions: AC notch filtering of ECG signals for heart rate variability analysis is considered important, and further investigation of this area is encouraged.
Keywords: Analysis of Variance, Electric Power Supplies, Electrocardiography - statistics & numerical data, Heart Rate, Signal Processing, Computer-Assisted, Analysis of Variance, Electric Power Supplies, Electrocardiography - statistics & numerical data, Heart Rate, Signal Processing, Computer-Assisted
01 June 2023 : EditorialEditorial: Infectious Disease Surveillance Using Artificial Intelligence (AI) and its Role in Epidemic and Pandemic Preparedness
Med Sci Monit 2023; 29:e941209
01 Jun 2023 : Clinical ResearchRoot Canal Numbers and Configurations in 1080 Permanent Canine Teeth in 270 Saudi Subjects Using Cone-Beam ...
Med Sci Monit In Press; DOI: 10.12659/MSM.940472
01 Jun 2023 : Clinical ResearchInternal Orifice Alloy Closure: A New Procedure for Treatment of Perianal Fistulizing Crohn’s Disease
Med Sci Monit In Press; DOI: 10.12659/MSM.940873
01 Jun 2023 : Clinical ResearchEffectiveness of Needle Aspiration versus Surgical Excision for Symptomatic Synovial Cysts of the Hip: A Si...
Med Sci Monit In Press; DOI: 10.12659/MSM.940187
01 Jun 2023 : Clinical ResearchInfluence of Insulin Resistance on Diabetes Nephropathy
Med Sci Monit In Press; DOI: 10.12659/MSM.939482
Most Viewed Current Articles
13 Nov 2021 : Clinical ResearchAcceptance of COVID-19 Vaccination and Its Associated Factors Among Cancer Patients Attending the Oncology ...
Med Sci Monit 2021; 27:e932788
30 Dec 2021 : Clinical ResearchRetrospective Study of Outcomes and Hospitalization Rates of Patients in Italy with a Confirmed Diagnosis o...
Med Sci Monit 2021; 27:e935379
08 Mar 2022 : Review articleA Review of the Potential Roles of Antioxidant and Anti-Inflammatory Pharmacological Approaches for the Man...
Med Sci Monit 2022; 28:e936292
01 Jan 2022 : EditorialEditorial: Current Status of Oral Antiviral Drug Treatments for SARS-CoV-2 Infection in Non-Hospitalized Pa...
Med Sci Monit 2022; 28:e935952