ECG compression based on combining of EMD and wavelet transform

Wang, Xiaoxiao; Chen, Zhijian; Luo, Jun; Meng, Jianyi; Xu, Yin

doi:10.1049/el.2016.2174

Cited by 34 publications

(27 citation statements)

References 7 publications

(22 reference statements)

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“…The CR, PRD, QS, and the time consumption of each record is shown in Table 2 . Compared with the run length encoding method [ 11 ], the DCT-based [ 12 , 15 ] method and the empirical mode decomposition- (EMD-) based method [ 14 , 16 ] are shown in Table 3 . Figure 3() shows the comparison between the original ECG signal and the reconstructed signal of the number 100 record.…”

Section: Resultsmentioning

confidence: 99%

“…The CR of the proposed method is higher than those of the EMD-based [ 16 ] method and the DCT-based [ 12 ] method without filtering. The CRs of EMD-wavelet-based [ 14 ] method and DCT-based (with 20% filtering window) method [ 15 ] are higher than that of the proposed method in this paper, but the PRDs of such two methods are over 2%, which is unsuitable for diagnosing [ 15 ]. Also, the run length encoding [ 11 ] method has lower CR and higher PRD.…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

A Remote Health Monitoring System for the Elderly Based on Smart Home Gateway

Guan

Shao

2017

Journal of Healthcare Engineering

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This paper proposed a remote health monitoring system for the elderly based on smart home gateway. The proposed system consists of three parts: the smart clothing, the smart home gateway, and the health care server. The smart clothing collects the elderly's electrocardiogram (ECG) and motion signals. The home gateway is used for data transmission. The health care server provides services of data storage and user information management; it is constructed on the Windows-Apache-MySQL-PHP (WAMP) platform and is tested on the Ali Cloud platform. To resolve the issues of data overload and network congestion of the home gateway, an ECG compression algorithm is applied. System demonstration shows that the ECG signals and motion signals of the elderly can be monitored. Evaluation of the compression algorithm shows that it has a high compression ratio and low distortion and consumes little time, which is suitable for home gateways. The proposed system has good scalability, and it is simple to operate. It has the potential to provide long-term and continuous home health monitoring services for the elderly.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

A Remote Health Monitoring System for the Elderly Based on Smart Home Gateway

Guan

Shao

2017

Journal of Healthcare Engineering

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“…The Compression ratio gives information about the degree by use of which the compression technique eliminates the redundant data. Higher the Compression ratio, less number of bits needed to store or transfer the data which can be mentioned as in given equation (2).…”

Section: Compression Ratio (Cr)mentioning

confidence: 99%

“…The variations in the signals were made through the electric rays which generates a graph considered as ECG. The whole process is done through a special kind of device which continuously monitors the variations in the patients' body with respect to a specific interval of time [2].This device is dedicatedly works for the detection of heart diseases. The ECG generated through this device is based upon the electrical variations happen in the body of the patient.…”

Section: Introductionmentioning

confidence: 99%

A Survey on different Compression Techniques for ECG Data Reduction

Sakshi¹,

Neeru²

2017

IJCA

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Electrocardiogram (ECG) is the technique that is used to record the electrical signal of the heart over a time interval by using the electrodes, positioned on a patient's body. The signals collected from the body needs to be processed and compressed before directing to monitoring center. Electrocardiogram (ECG) data compressions minimize the necessities of storage to generate a more proficient telecardiology system for the cardiac exploration and diagnosis. This paper focus on the evaluation of several compression schemes for ECG data compression and also provides the comparison of the various ECG compression techniques such as Turning Point, Delta Coding, AZTEC, CORTES, DCT etc. in terms of different performance metrics like Compression Ratio (CR), Percent Mean Square Difference (PRD) and Quality Score (QS).

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“…Thus, it provides the application possibility for life prediction of railway relays. In recent years, EMD has been widely used in data processing [14], [15]. However, EMD has some defects, such as mode mixing and endpoint effect.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Method for Life Prediction of Railway Relays Based on Multi-Layer Decomposition and RBFNN

Sun

Cao

Zhou³

et al. 2019

IEEE Access

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The railway relay plays an important role in railway systems. Its reliability has a significant effect on the safety of passengers and train operation, which can be reflected using degradation parameters. In this paper, a novel hybrid method based on the multi-layer decomposition and the radial basis function neural network (RBFNN) is proposed for life prediction of railway relays. As the degradation parameter series are usually nonlinear and non-stationary, it is vital to develop an essential method to preprocess the degradation series. In order to improve the prediction accuracy, a multi-layer decomposition method is developed first for data pre-processing, which blends complete ensemble empirical mode decomposition (CEEMD) and an improved variational mode decomposition (IVMD) with a stopping criterion for determining the decomposition modes number. It is noted that IVMD is then used to decompose the highfrequency intrinsic mode functions (IMFs) obtained using CEEMD to improve the prediction accuracy. Furthermore, RBFNN is applied to all the components for prediction. And the prediction results of all the components are reconstructed as the predicted degradation series. Finally, the effectiveness and robustness of the proposed novel hybrid prediction method are verified on one-step prediction and multi-step prediction by comparing other commonly used prediction methods. The experimental results indicate that the proposed hybrid prediction method performs best on the complex degradation parameters of safety relays. INDEX TERMS Railway relays, life prediction, complete ensemble empirical mode decomposition (CEEMD), improved variational mode decomposition (IVMD), radial basis function neural network (RBFNN).

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ECG compression based on combining of EMD and wavelet transform

Cited by 34 publications

References 7 publications

A Remote Health Monitoring System for the Elderly Based on Smart Home Gateway

A Remote Health Monitoring System for the Elderly Based on Smart Home Gateway

A Survey on different Compression Techniques for ECG Data Reduction

A Hybrid Method for Life Prediction of Railway Relays Based on Multi-Layer Decomposition and RBFNN

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