Journal ArticleDOI
The Use of Intrinsic Components in an ECG Filter
TLDR
In this paper, the problem of filtering artifact from QRST complexes of ECG records has been approached by the use of a digital, time-varying filter, and the optimum form of this filter assuming uncorrelated, zero-mean, additive noise is presented and shown to be equivalent to estimating the coefficients of an intrinsic component expansion of the complex.Abstract:
The problem of filtering artifact from QRST complexes of ECG records has been approached by the use of a digital, time-varying filter The optimum form of this filter assuming uncorrelated, zero-mean, additive noise is presented and shown to be equivalent to estimating the coefficients of an intrinsic component expansion of the complex Results are reported showing that QRST complexes in limb leads of normals may be accurately represented by only eight terms of the intrinsic component expansion A suboptimum filter is presented and results reported which show that an order of magnitude reduction of the 005 to 100 Hz artifact energy in the filtered complex can be achievedread more
Citations
More filters
Journal ArticleDOI
ECG data compression techniques-a unified approach
TL;DR: The theoretical bases behind the direct ECG data compression schemes are presented and classified into three categories: tolerance-comparison compression, DPCM, and entropy coding methods and a framework for evaluation and comparison of ECG compression schemes is presented.
Journal ArticleDOI
Fetal Electrocardiogram Enhancement by Time-Sequenced Adaptive Filtering
Earl R. Ferrara,Bernard Widraw +1 more
TL;DR: It is shown that substantial improvement in terms of signal distortion is obtained when time-sequenced filtering, rather than conventional time-invariant filtering, is employed in the enhancement of abdominally derived fetal electrocardiograms against background muscle noise.
Journal ArticleDOI
Wavelet packet-based compression of single lead ECG
TL;DR: A preliminary investigation of a wavelet packet based algorithm for the compression of single lead ECG is presented, which generates significantly lower data rates with less than one-third the computational effort.
Reference EntryDOI
Electrocardiogram (ECG) Signal Processing
Leif Sörnmo,Pablo Laguna +1 more
TL;DR: An introductory presentation of the basic set of algorithms used for conditioning the ECG with respect to different types of noise and artifacts, detecting heartbeats, extracting basic ECG measurements, and performing data compression is given.
Journal ArticleDOI
Compression of the ECG by Prediction or Interpolation and Entropy Encoding
TL;DR: In a sample of 220 Frank4ead ECG's the removal of signal redundancy by second-order prediction or interpolation with subsequent entropy encoding of the respective residual errors was investigated, finding interpolation provided a 6 dB smaller residual error variance than prediction.
References
More filters
Journal ArticleDOI
On the Representation of Electrocardiograms
T. Y. Young,W. H. Huggins +1 more
TL;DR: An iterative process is developed which enables us to find a set of matched exponents for the representation of all ECGs, the so-called orthonormal exponential signals, and results will be shown.
Journal ArticleDOI
Reliable Triggering for Exercise Electrocardiograms
TL;DR: The heavy noise content in many exercise electrocardiograms has hindered the development of diagnostic analysis techniques, so a trigger signal is a prerequisite to average transient computing, and can relieve a digital computer of the timeconsuming task of digital filtering in the initial pattern recognition of R-waves.
Journal ArticleDOI
Phase Detection of R Waves in Noisy Electrocardiograms
TL;DR: Present evidence indicates that ventricular fibrillation is often preceded by other forms of abnormal electrical activity of the heart, especially ventricular premature beats, so early detection of the presence of VPBs in the electrocardiogram may be important in making medical decisions to avert a later coronary attack.