Telecardiology: Hurst exponent based anomaly detection in compressively sampled ECG signals

Bollepalli, Sandeep Chandra; Sastry, C. S.; Jana, Soumya

doi:10.1109/healthcom.2013.6720699

Cited by 4 publications

(4 citation statements)

References 10 publications

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“…This algorithm primarily functions to emphasize the energy intensity of the T-wave [73]. The TWA algorithm operates based on the R peak as a fiducial point and takes into account the RR intervals [22,74]. A key component of the TWA algorithm is the RR interval, which is represented in the equation below.…”

Section: Rq2: T Wave Anomalies Through a T-onset Parametermentioning

confidence: 99%

Methodological identification of anomalies episodes in ECG streams: a systematic mapping study

Iqbal,

Almakki,

Usman

et al. 2024

BMC Med Res Methodol

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An electrocardiogram is a medical examination tool for measuring different patterns of heart blood flow circle either in the form of usual or non-invasive patterns. These patterns are useful for the identification of morbidity condition of the heart especially in certain conditions of heart abnormality and arrhythmia. Myocardial infarction (MI) is one of them that happened due to sudden blockage of blood by the cause of malfunction of heart. In electrocardiography (ECG) intensity of MI is highlighted on the basis of unusual patterns of T wave changes. Various studies have contributed for MI through T wave’s classification, but more to the point of T wave has always attracted the ECG researchers. Methodology. This Study is primarily designed for proposing the combination of latest methods that are worked for the solutions of pre-defined research questions. Such solutions are designed in the form of the systematic review process (SLR) by following the Kitchen ham guidance. The literature survey is a two phase’s process, at first phase collect the articles that were published in IEEE Xplore, Scopus, science direct and Springer from 2008 to 2023. It consist of steps; the first level is executed by filtrating the articles on the basis of keyword phase of title and abstract filter. Similarly, at two level the manuscripts are scanned through filter of eligibility criteria of articles selection. The last level belongs to the quality assessment of articles, in such level articles are rectified through evaluation of domain experts. Results. Finally, the selected articles are addressed with research questions and briefly discuss these selected state-of-the-art methods that are worked for the T wave classification. These address units behave as solutions to research problems that are highlighted in the form of research questions. Conclusion and future directions. During the survey process for these solutions, we got some critical observations in the form of gaps that reflected the other directions for researchers. In which feature engineering, different dependencies of ECG features and dimensional reduction of ECG for the better ECG analysis are reflection of future directions.

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Section: Rq2: T Wave Anomalies Through a T-onset Parametermentioning

confidence: 99%

Methodological identification of anomalies episodes in ECG streams: a systematic mapping study

Iqbal,

Almakki,

Usman

et al. 2024

BMC Med Res Methodol

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“…In this construction, it is very easy to check that the coherence of the matrix Ψ is 1 (p i −j) , which is in the order of . With a view towards comparing the numerical performance against the standard Gaussian (with entries drawn from N (0, 1 m )) and Bernoulli (with entries φ ij = ± 1 √ m , each with probability 1 2 ) random matrices, binary matrices of size 55 × 121 and 230 × 529 are generated using the Euler Squares of indices (11,5) and (23,10). The OMP algorithm is used to solve the l 0 minimization problem for a signal x. Letx denote the recovered solution.…”

Section: Comparison With Existing Constructionsmentioning

confidence: 99%

“…In fields like tele-medicines [1], [11] the dimensionality reduction (DR) is needed for the analysis and classification of medical images, which is followed by the reconstruction at diagnostic center. Though conventional DR approaches [23] project data to very low-dimensional spaces than the CS based method, in general, they fail to provide faithful reconstruction from reduced dimension.…”

Section: Content Based Image Retrieval (Cbir) Using Euler Square Mmentioning

confidence: 99%

“…It is demonstrated that the proposed binary sensing matrices project data into lower dimensional spaces in such a way that the reduced vectors are useful for the purpose of CBIR. Moreover, the proposed dimensionality reduction technique through binary sensing matrices allows for reconstruction, which is important for tele-medicine ( [1], [11]). The other dimensionality reduction techniques and even the sparsity seeking Dictionary based methods [12] in general do not provide this advantage.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Deterministic Compressed Sensing Matrices: Construction via Euler Squares and Applications

Naidu

Jampana

Sastry

2016

IEEE Trans. Signal Process.

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Abstract-In Compressed Sensing the matrices that satisfy the Restricted Isometry Property (RIP) play an important role. But to date, very few results for designing such matrices are available. For applications such as multiplier-less data compression, binary sensing matrices are of interest. The present work constructs deterministic and binary sensing matrices using Euler Squares. In particular, given a positive integer m different from p, p 2 for a prime p, we show that it is possible to construct a binary sensing matrix of size m × c(mµ) 2 , where µ is the coherence parameter of the matrix and c ∈ [1, 2). The matrices that we construct have small density (that is, percentage of nonzero entries in the matrix is small) with no function evaluation in their construction, which support algorithms with low computational complexity. Through experimental work, we show that our binary sensing matrices can be used for such applications as content based image retrieval. Our simulation results demonstrate that the Euler Square based CS matrices give better performance than their Gaussian counterparts.

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Reliable resource-constrained telecardiology via compressive detection of anomalous ECG signals

Bollepalli

Sastry

Jana

2015

Computers in Biology and Medicine

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Telecardiology: Hurst exponent based anomaly detection in compressively sampled ECG signals

Cited by 4 publications

References 10 publications

Methodological identification of anomalies episodes in ECG streams: a systematic mapping study

Methodological identification of anomalies episodes in ECG streams: a systematic mapping study

Deterministic Compressed Sensing Matrices: Construction via Euler Squares and Applications

Reliable resource-constrained telecardiology via compressive detection of anomalous ECG signals

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