Linear affine transformations between 3-lead (Frank XYZ leads) vectorcardiogram and 12-lead electrocardiogram signals

Dawson, D.; Yang, Hui; Malshe, M.; Bukkapatnam, Satish T. S.; Benjamin, Bruce; Komanduri, R.

doi:10.1016/j.jelectrocard.2009.05.007

Cited by 70 publications

(51 citation statements)

References 18 publications

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“…However, 3-lead VCG is not as commonly used as 12-lead ECG because medical doctors are accustomed to using the time-domain ECG in clinical applications. Dower et al [2] and our previous study [3] showed that 3-lead VCG can be linearly transformed to 12-lead ECG without a significant loss of clinically useful information. Thus, 3-lead VCG surmounts not only the information loss in 1-lead ECG but also the redundant information in 12-lead ECG.…”

Section: Introductionmentioning

confidence: 79%

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Wavelet packet analysis of disease-altered recurrence dynamics in the long-term spatiotemporal vectorcardiogram (VCG) signals

Chen

Yang

2013

2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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² Vectorcardiogram (VCG) signals contain a wealth of dynamic information pertinent to space-time cardiac electrical activities. However, few, if any, previous investigations have studied disease-altered nonlinear dynamics in the spatiotemporal VCG signals. Most previous nonlinear dynamic methods considered the time-delay reconstructed state space from a single ECG trace. This paper presents a novel multiscale recurrence approach to not only explore VCG recurrence dynamics but also resolve the issue of recurrence computation for the large-scale datasets. As opposed to the traditional single-scale recurrence analysis, we characterize and quantify the recurrence behaviours in multiple wavelet scales. In addition, wavelet dyadic subsampling enables the large-scale recurrence analysis, but it is used to be highly expensive for a long-term time series. The classification experiments show that multiscale recurrence analysis detects the myocardial infarctions from 3-lead VCG with an average sensitivity of 96.8% and specificity of 92.8%, which show superior performance (i.e., 5.6% improvements) to the single-scale recurrence analysis.

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Section: Introductionmentioning

confidence: 79%

“…The VCG recordings are typically of ~2 min duration, and all the signals are recorded for at least 30s. Our previous investigation [3] demonstrated the 12-lead ECG can be derived from 3-lead VCG using a customized transform, which shows better performance than the traditional Dower transform. …”

Section: A Databasesmentioning

confidence: 99%

Wavelet packet analysis of disease-altered recurrence dynamics in the long-term spatiotemporal vectorcardiogram (VCG) signals

Chen

Yang

2013

2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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“…Furthermore, transformation matrices focusing on specific patient groups were designed, divided e.g., according to pathologies [50].…”

Section: History and Development Of Transformation Methodsmentioning

confidence: 99%

“…Individualization may be focused on individual patients [53,54], or on a patient group, see [49,50]. Individual cardiac diseases cause a significant modification of the shape and amplitude of the ECG signal.…”

Section: Affine Transformationmentioning

confidence: 99%

Methods for derivation of orthogonal leads from 12-lead electrocardiogram: A review

Vozda

Cerny

2015

Biomedical Signal Processing and Control

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“…As shown in Fig. 2, vectorcardiogram (VCG) signal waveform at different segments changes significantly within one cycle, corresponding to different stages of cardiac operations [6,7]. In addition, the waveform in one cycle is similar to others but with variations between cycles [8,9].…”

Section: Complex Engineering and Biologicalmentioning

confidence: 97%

Theoretical Foundations

Blending Technologies in Second Language Classrooms

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Research OverviewDr. Yang and his research team at USF aim to create a rigorous knowledge body for sensorbased complex systems monitoring, modeling and analysis. The research will ultimately contribute to a new paradigm where a complex system is autonomized and optimized at all scales. As shown in Figure 1, industry in the 21 st century is investing in a variety of sensor networks and dedicated data centers to increase information visibility in both engineering and healthcare domains. Real-time sensing brings the proliferation of big data (i.e., dynamic, nonlinear, nonstationary, high dimensional) that contains a wealth of information on the condition and status of a product, process or a system. Big Data presents a 'gold mine' of this era (21 st century). Innovations in industrial and systems engineering in this century will be highly dominated by "new methods and tools" to mine the big data and harness its power for new product development, problem solving and system optimization. Nonlinear Dynamics and ChaosEngineering and physiological systems (e.g., nanoscale machining and human heart) involve greater levels of complexity and technical challenge. Much of the complexity emerges from nonlinear dynamics of the underlying process. In order to cope with system complexity and dynamic environments, modern industries are investing in a variety of sensors and data acquisition systems. However, most of existing approaches adopt linear methods and tools for sensor information processing. Traditional linear approaches interpret the regular structure, e.g., Complex Engineering and Biological

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Linear affine transformations between 3-lead (Frank XYZ leads) vectorcardiogram and 12-lead electrocardiogram signals

Cited by 70 publications

References 18 publications

Wavelet packet analysis of disease-altered recurrence dynamics in the long-term spatiotemporal vectorcardiogram (VCG) signals

Wavelet packet analysis of disease-altered recurrence dynamics in the long-term spatiotemporal vectorcardiogram (VCG) signals

Methods for derivation of orthogonal leads from 12-lead electrocardiogram: A review

Theoretical Foundations

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