A filter to suppress ECG baseline wander and preserve ST-segment accuracy in a real-time environment

Frankel, Roddy A.; Pottala, Erik W.; Bowser, Richard W.; Bailey, John R.

doi:10.1016/0022-0736(91)90014-d

Cited by 19 publications

(3 citation statements)

References 5 publications

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“…6 shows that the histogram of errors is more spread for linear interpolation, while WPL interpolation's spread more closely resembles that of cubic spline interpolation. In addition, these figures comply with American Heart Association and International Electrotechnical Commission standards which allow a maximum error of 100 μV for clinical ECG systems [ 11 ]. Also, Fig.…”

Section: Resultsmentioning

confidence: 99%

Computationally efficient real‐time interpolation algorithm for non‐uniform sampled biosignals

Güven

Eftekhar

Kindt

et al. 2016

Healthcare Technology Letters

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This Letter presents a novel, computationally efficient interpolation method that has been optimised for use in electrocardiogram baseline drift removal. In the authors’ previous Letter three isoelectric baseline points per heartbeat are detected, and here utilised as interpolation points. As an extension from linear interpolation, their algorithm segments the interpolation interval and utilises different piecewise linear equations. Thus, the algorithm produces a linear curvature that is computationally efficient while interpolating non-uniform samples. The proposed algorithm is tested using sinusoids with different fundamental frequencies from 0.05 to 0.7 Hz and also validated with real baseline wander data acquired from the Massachusetts Institute of Technology University and Boston's Beth Israel Hospital (MIT-BIH) Noise Stress Database. The synthetic data results show an root mean square (RMS) error of 0.9 μV (mean), 0.63 μV (median) and 0.6 μV (standard deviation) per heartbeat on a 1 mVp–p 0.1 Hz sinusoid. On real data, they obtain an RMS error of 10.9 μV (mean), 8.5 μV (median) and 9.0 μV (standard deviation) per heartbeat. Cubic spline interpolation and linear interpolation on the other hand shows 10.7 μV, 11.6 μV (mean), 7.8 μV, 8.9 μV (median) and 9.8 μV, 9.3 μV (standard deviation) per heartbeat.

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Section: Resultsmentioning

confidence: 99%

Computationally efficient real‐time interpolation algorithm for non‐uniform sampled biosignals

Güven

Eftekhar

Kindt

et al. 2016

Healthcare Technology Letters

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“…This is in accordance with standard QRS detection filters, which often have bandpass filters with their upper limit in the range of 40-80 Hz for optimal detection 8,27 with lower limits in the range of 0.5-1 Hz to reject low-frequency baseline drift. 6 The implemented filter only causes a time delay of 100 ms, meaning that it can be realized in real-time driver software. An initial threshold and blanking period for QRS detection was also implemented, and after the third beat, the average of the past three thresholds and R-R intervals were used for determining the next threshold and blanking period.…”

Section: Calculation Of Qrs Detection Ratesmentioning

confidence: 99%

Feasibility of Subcutaneous ECG Leads for Synchronized Timing of a Counterpulsation Device

Warren

Giridharan

Dowling

et al. 2011

Cardiovasc Eng Tech

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A counterpulsation device (Symphony) that works synchronously with the native heart to provide partial circulatory support was developed to treat patients with advanced heart failure. Symphony is implanted in a 'pacemaker pocket' without entry into the chest, and requires timing with ECG for device filling and ejection. Surface leads are limited to short-term use due to signal distortion and lead management. Transvenous leads are a clinical standard for pacemakers and internal defibrillators, but increase the complexity of the implant procedure. In this study, the feasibility of using subcutaneous leads for synchronized timing of Symphony was investigated. ECG waveforms were simultaneously measured and recorded using epicardial (control) and subcutaneous (test) leads in a bovine model for 7-days (n = 6) and 14-days (n = 2) during daily activity and treadmill exercise. Landmark features and R-wave triggering detection rates for each lead configuration were calculated and compared. Lead placement, migration, durability, and infection were quantified using fluoroscopy and histopathological examination. There were 2,849 data epochs (30-s each) recorded at rest (133,627 analyzed beats) and 35 data epochs (20 min each) recorded during treadmill exercise (37,154 analyzed beats). The subcutaneous leads provided an accurate and reliable triggering signal during routine daily activity and treadmill exercise (99.1 ± 0.4% positive predictive value, 96.8 ± 1.5% sensitivity). The subcutaneous leads were also easily placed with minimal lead migration (0.5 ± 0.1 cm), damage (no fractures or failures), or infection. These findings demonstrate the feasibility of using subcutaneous leads for synchronized timing of mechanical circulatory support while offering the advantage of less invasive surgery and associated risk factors.

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“…Electrocardiogram (ECG) recordings are very often contaminated by residual power-line (PL) interference [ 1 - 4 ], base-line drift [ 5 - 7 ], artefacts and EMG disturbances due to involuntary muscle contractions (tremor) of the patient [ 8 - 12 ]. The base-line drift resulting from electrochemical processes at the electrode-to-skin barrier [ 7 ] is a typical low-frequency noise that distorts the susceptible ST segment [ 6 , 13 ]. Interference and tremor have overlapping frequency bands.…”

Section: Introductionmentioning

confidence: 99%

Tremor suppression in ECG

Dotsinsky

Mihov

2008

BioMedical Engineering OnLine

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Background: Electrocardiogram recordings are very often contaminated by high-frequency noise usually power-line interference and EMG disturbances (tremor). Specific method for interference cancellation without affecting the proper ECG components, called subtraction procedure, was developed some two decades ago. Filtering out the tremor remains a priori partially successful since it has a relatively wide spectrum, which overlaps the useful ECG frequency band.

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A filter to suppress ECG baseline wander and preserve ST-segment accuracy in a real-time environment

Cited by 19 publications

References 5 publications

Computationally efficient real‐time interpolation algorithm for non‐uniform sampled biosignals

Computationally efficient real‐time interpolation algorithm for non‐uniform sampled biosignals

Feasibility of Subcutaneous ECG Leads for Synchronized Timing of a Counterpulsation Device

Tremor suppression in ECG

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