Wavelet compression of ECG signals by the set partitioning in hierarchical trees algorithm

Lu, Zonghuan; Kim, Dong Yoon; Pearlman, William A.

doi:10.1109/10.846678

Cited by 410 publications

(58 citation statements)

References 10 publications

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“…In comparison to the conventional lossy compression scheme of 1D SPIHT [6], the FALC scheme reduces the complex calculation process (19N =16 þ 30kN =16 þ k, 14kN =16 þ k) of the horizontal length N of the image to a linear function of N (2N, 15N/16). During the UHD-level comparison, it is also confirmed that the proposed scheme could reduce the load on the memory resources required by the conventional methods by 1/8.…”

Section: Resultsmentioning

confidence: 99%

“…In the medical field, the 1D SPIHT algorithm, a modification of the existing 2D SPIHT algorithm was further studied as a means for 1D ECG signal compression [6]. The encoding process of the SPIHT algorithm consists of initialization, sorting, refinement, and quantization update.…”

Section: Conventional Compression Algorithmsmentioning

confidence: 99%

“…Since the 1D wavelet-based compression method [5] offers less blocking artifacts, even with high-resolution image compression. a one-dimensional (1D) SPIHT is introduced to obtain a lower bit rate using the inter-sub-band self-similarity of the 1D wavelet transform coefficient, in order to compress an electrocardiography signal (ECG) [6]. However, this method has a disadvantage in that it requires too much hardware resources to be built into a mobile display driver IC (DDI), due to its iterative calculation and sorting process.…”

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confidence: 99%

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A frequency adaptive line compression system for mobile display devices

Kim

Cho

et al. 2014

IEICE Electron. Express

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Abstract:The high resolution of the latest high-performance mobile display devices has resulted in an increase in the main frame buffer size and related bandwidth, and this is one of the main causes of a reduced battery life. As a means to solve this problem, one-dimensional line-based compression methods have been studies in order to be implemented in the limited chip design environment of the mobile display driver ICs. Conventional lossless compression techniques do not have a high compression ratio enough for complex images to ensure a sufficient power reduction. On the other hand, a wavelet-based 1D SPIHT method has been studied for use as a lossy-compression method with a high compression ratio while keeping the image quality. However, this method requires large hardware resources due to the performance for iterative calculations and sorting process. This paper proposes a novel wavelet-based lossy compression system that can achieve high compression and image quality while maintaining low complexity. The Frequency Adaptive Line Compression composed of 4-level DWT, horizontal predictive coding for the low-frequency regions, frequency selective zerozone quantization for high-frequency regions, and frequency component entropy coding. Experimental results confirmed that the proposed technique could achieve a higher compression ratio than the one required of conventional lossless compression methods and could also be implemented with a significantly less complexity than the conventional SPIHT method at the same compression ratio.

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Section: Resultsmentioning

confidence: 99%

Section: Conventional Compression Algorithmsmentioning

confidence: 99%

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confidence: 99%

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A frequency adaptive line compression system for mobile display devices

Kim

Cho

et al. 2014

IEICE Electron. Express

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“…The scaling parameter is the difference of the interval (period) between a constituent beat and the reference beat, as expressed in Eq. (2).…”

Section: Dynamic Mapping Techniquementioning

confidence: 99%

Dynamic Mapping Algorithmic Scheme for Compression of Regular and Irregular ECG Signals

Chompusri

Tooprakai

Dejhan

et al. 2016

Journal of Signal Processing

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This research is concerned with a dynamic mapping electrocardiogram (ECG) compression method that effectively reduces the percent root mean square difference (PRD) and at the same time achieves the satisfactorily high compression ratio (CR). The distinctive characteristic of the proposed technique lies in its applicability to both the regular and irregular ECG signals, compared to existing techniques that are solely applicable to the regular signal. Specifically, in the dynamic mapping, the Period Scaling technique is first applied and the Dynamic Time Warping (DTW) technique is then triggered if the signal error exceeds the maximum beat error. The signal error exceeding the maximum beat error indicates an irregular ECG signal. In the assessment, the proposed technique was applied to a total of 42 MIT-BIH ECG signals. The experiments were conducted using a maximum beat error of 1% and various threshold criteria sets by varying EPEAC and EPEDC1, EPEDC2, EPEDC3 in the ranges of 90-99% and 50-99%, respectively, where EPEAC and EPEDC1-3 are Energy Packing Efficiency's approximation coefficient and detailed coefficients. The results indicate that the threshold sets of 99% for EPEAC and 80-90% equally for EPEDC1, EPEDC2 and EPEDC3 contribute to less than 1% PRD values and the satisfactorily high CR levels of 4.6-11. Moreover, this research descriptively compared the ECG signal numbers 100 (regular), 117 and 228 (irregular) with regard to the signal compression performances.

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“…On the other hand, many powerful ECG compression algorithms [3][4][5][6][7][8] are waveletbased, requiring more computation time when performed by a microcontroller. So far, it is to our understanding that the evaluations of these algorithms have yet to be conducted on any embedded platform to prove their real-time characteristics.…”

Section: Introductionmentioning

confidence: 99%

Conserving Bandwidth In A Wireless Sensor Network For Telemedicine Application

Hsu¹,

Chen²,

Chen³

et al. 2010

Intelligent Automation & Soft Computing

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Telemedicine aided by wireless sensor networks (WSN) has recently become a healthcare trend. Many previous studies have adopted the ZigBee-based WSN to implement a platform and/or a telemedicine system. However, the low data rate and bandwidth have limited the maximum number of nodes in a WSN during continuous and simultaneous transmission. The issue of low data throughput has not been addressed in previous research. In this study, we propose an arrhythmia-aware system, and a new DSPbased WSN platform is developed for the high compression performance of physiological data in a ZigBee-based WSN. Proven by simulations and several real tests, the combination of the proposed platform and the sensor nodes can lead to more bandwidth conservation and extend the WSN scale for the next generation of telemedicine system.

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Wavelet compression of ECG signals by the set partitioning in hierarchical trees algorithm

Cited by 410 publications

References 10 publications

A frequency adaptive line compression system for mobile display devices

A frequency adaptive line compression system for mobile display devices

Dynamic Mapping Algorithmic Scheme for Compression of Regular and Irregular ECG Signals

Conserving Bandwidth In A Wireless Sensor Network For Telemedicine Application

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