An artificial vector model for generating abnormal electrocardiographic rhythms
We present generalizations of our previously published artificial models for generating multi-channel ECG to provide simulations of abnormal cardiac rhythms. Using a three-dimensional vectorcardiogram (VCG) formulation, we generate the normal cardiac dipole for a patient using a sum of Gaussian kern...
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| Format: | Journal article |
| Language: | English |
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Institute of Physics (IOP) Publishing
2010
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| _version_ | 1797096889912393728 |
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| author | Clifford, G Nemati, S Sameni, R |
| author2 | Institute of Physics and Engineering in Medicine |
| author_facet | Institute of Physics and Engineering in Medicine Clifford, G Nemati, S Sameni, R |
| author_sort | Clifford, G |
| collection | OXFORD |
| description | We present generalizations of our previously published artificial models for generating multi-channel ECG to provide simulations of abnormal cardiac rhythms. Using a three-dimensional vectorcardiogram (VCG) formulation, we generate the normal cardiac dipole for a patient using a sum of Gaussian kernels, fitted to real VCG recordings. Abnormal beats are specified either a perturbations to the normal dipole or as new dipole trajectories. Switching between normal and abnormal beat types is achieved using a first-order Markov chain. Probability transitions can be learned from real data or modeled by coupling to heart rate and sympathovagal balance. Natural morphology changes from beat-to-beat are incorporated by varying the angular frequency of the dipole as a function of the inter-beat (RR) interval. The RR interval time series is generated using our previously described model whereby time- and frequency-domain heart rate (HR) and heart rate variability characteristics can be specified. QT-HR hysteresis is simulated by coupling by Gaussian kernels associated with the T-wave in the model with a nonlinear factor related to the local HR (determined from the last n RR intervals). Morphology changes due to respiratory frequency. We demonstrate an example of the use of this model by switching HR-dependent T-wave alternans (TWA) with and without phase-switching due to ectopy. Application of our model also reveals previously unreported effects of common TWA estimation methods. |
| first_indexed | 2024-03-07T04:47:55Z |
| format | Journal article |
| id | oxford-uuid:d3f17fd3-c872-4fa1-b7e3-a1158821ab78 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T04:47:55Z |
| publishDate | 2010 |
| publisher | Institute of Physics (IOP) Publishing |
| record_format | dspace |
| spelling | oxford-uuid:d3f17fd3-c872-4fa1-b7e3-a1158821ab782022-03-27T08:14:51ZAn artificial vector model for generating abnormal electrocardiographic rhythmsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:d3f17fd3-c872-4fa1-b7e3-a1158821ab78Biomedical engineeringEngineering & allied sciencesEnglishOxford University Research Archive - ValetInstitute of Physics (IOP) Publishing2010Clifford, GNemati, SSameni, RInstitute of Physics and Engineering in MedicineWe present generalizations of our previously published artificial models for generating multi-channel ECG to provide simulations of abnormal cardiac rhythms. Using a three-dimensional vectorcardiogram (VCG) formulation, we generate the normal cardiac dipole for a patient using a sum of Gaussian kernels, fitted to real VCG recordings. Abnormal beats are specified either a perturbations to the normal dipole or as new dipole trajectories. Switching between normal and abnormal beat types is achieved using a first-order Markov chain. Probability transitions can be learned from real data or modeled by coupling to heart rate and sympathovagal balance. Natural morphology changes from beat-to-beat are incorporated by varying the angular frequency of the dipole as a function of the inter-beat (RR) interval. The RR interval time series is generated using our previously described model whereby time- and frequency-domain heart rate (HR) and heart rate variability characteristics can be specified. QT-HR hysteresis is simulated by coupling by Gaussian kernels associated with the T-wave in the model with a nonlinear factor related to the local HR (determined from the last n RR intervals). Morphology changes due to respiratory frequency. We demonstrate an example of the use of this model by switching HR-dependent T-wave alternans (TWA) with and without phase-switching due to ectopy. Application of our model also reveals previously unreported effects of common TWA estimation methods. |
| spellingShingle | Biomedical engineering Engineering & allied sciences Clifford, G Nemati, S Sameni, R An artificial vector model for generating abnormal electrocardiographic rhythms |
| title | An artificial vector model for generating abnormal electrocardiographic rhythms |
| title_full | An artificial vector model for generating abnormal electrocardiographic rhythms |
| title_fullStr | An artificial vector model for generating abnormal electrocardiographic rhythms |
| title_full_unstemmed | An artificial vector model for generating abnormal electrocardiographic rhythms |
| title_short | An artificial vector model for generating abnormal electrocardiographic rhythms |
| title_sort | artificial vector model for generating abnormal electrocardiographic rhythms |
| topic | Biomedical engineering Engineering & allied sciences |
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