Sparse Encoding Algorithm for Real-Time ECG Compression

Roy, Rohan Basu; Roy, Arani; Mukherjee, Amitava; Ghosh, Alekhya; Bhattacharyya, Soham; Naskar, Mrinal Kanti

doi:10.1007/978-981-10-8863-6_4

Cited by 7 publications

(2 citation statements)

References 4 publications

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“…The algorithm was able to expand its dictionary upon the arrival of any unseen pattern and also uses discrete cosine transformation to make it immune to incoming noise. In [83], a sparse encoding algorithm consisting of two subcategories based on geometry-based methods and WT based iterative thresholding was reported. In [84] an energy-efficient novel block-sparsity-based multichannel ECG compression scheme that utilizes spatiotemporal correlation and multiscale information of the signal using wavelet transform of the signal was reported.…”

Section: ) Ecg Compressionmentioning

confidence: 99%

Origins of ECG and Evolution of Automated DSP Techniques: A Review

Arora¹,

Mishra

2021

IEEE Access

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Over the years researchers have studied the evolution of Electrocardiogram (ECG) and the complex classification of cardiovascular diseases. This review focuses on the evolution of the ECG and covers the most recent signal processing schemes with milestones over the last 150 years in a systematic manner. Development phases of ECG, ECG leads, portable ECG monitors, Signal Processing schemes and Complex Transformations are discussed. This paper summarizes the development of ECG features detection for cardiac anomalies and the history of the development of ECG monitors, beginning from String Galvanometer. It also discusses the automated detections on ECG beginning from 1960 to the most recent signal processing techniques. Additionally, this paper provides recommendations.

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Section: ) Ecg Compressionmentioning

confidence: 99%

Origins of ECG and Evolution of Automated DSP Techniques: A Review

Arora¹,

Mishra

2021

IEEE Access

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“…Remote health care monitoring applications started to be widely used in the globe 1 . The new advances in technology and communication lead to a higher demand on these health care applications.…”

Section: Introductionmentioning

confidence: 99%

ECG compression technique using fast fractals in the Internet of medical things

Ibaida

Abuadbba

Al‐Shammary

et al. 2023

Concurrency and Computation

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ECG signal is widely used in most cardiology e‐health systems. Patients may be monitored continuously for at least 12 h a day. Therefore, the ECG signal size transmitted to a hospital server during continuous monitoring is significant. Furthermore, transmission of the large size ECG signal is a power consuming process. ECG compression is one of the proposed solutions to overcome this problem. In this paper, a new fractal‐based ECG lossy compression technique is proposed. It is clear that fractal can use ECG signal self similarity characteristics efficiently to achieve high compression ratios. The proposed technique is based on developing the fractal model in conjunction with Iterated Function System. Fractal is well known as a time consuming technique, and therefore, new mathematical development is proposed to potentially reduce fractal computations. Experiments have proven the significant performance of fast fractal in comparison with the traditional version. Furthermore, the resultant compression ratios are close to the traditional fractal results and higher than other existing techniques.

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Investigation of the dependence of the evaluation parameters in protection of cardio data on the applied wavelet basis

Georgieva-Tsaneva

Bogdanova

2020

2020 Algebraic and Combinatorial Coding Theory (ACCT)

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Sparse Encoding Algorithm for Real-Time ECG Compression

Cited by 7 publications

References 4 publications

Origins of ECG and Evolution of Automated DSP Techniques: A Review

Origins of ECG and Evolution of Automated DSP Techniques: A Review

ECG compression technique using fast fractals in the Internet of medical things

Investigation of the dependence of the evaluation parameters in protection of cardio data on the applied wavelet basis

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