Journal ArticleDOI
Robust and accurate personalised reconstruction of standard 12-lead system from Frank vectorcardiographic system
Sidharth Maheshwari,Amit Acharyya,Paolo Emilio Puddu,Evangelos B. Mazomenos,Michele Schiariti,Koushik Maharatna +5 more
TLDR
A robust and accurate method for the reconstruction of standard 12-lead (S12) system from Frank vectorcardiographic (FV) system using personalised transformation (PT) matrices targeting personalised remote health monitoring applications is proposed.Abstract:
In this article, we have proposed a robust and accurate method for the reconstruction of standard 12-lead (S12) system from Frank vectorcardiographic (FV) system using personalised transformation (PT) matrices targeting personalised remote health monitoring applications. FV system is used in the 3D visualisation of heart and diagnosis and prognosis of many cardiologic disorders including myocardial infarction, Brugada syndrome etc. However, cardiologists are accustomed to S12 system pertaining to its decades-old usage and widespread acceptability and hence, it is generally used as primary ECG acquisition system and state-of-the-art inverse Dower transform (DT) and affine transform (AT) are used to obtain FV system from S12 system. Here, we propose the acquisition of FV system and use PT to reconstruct S12 system from FV system. PhysioNet's PTB database after wavelet-based preprocessing to remove baseline wandering and noise has been used in this investigation. The personalised coefficients have been obtai...read more
Citations
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Journal ArticleDOI
Frank vectorcardiographic system from standard 12 lead ECG: An effort to enhance cardiovascular diagnosis
TL;DR: The proposed methodology, without any modification in the current acquisition system, can be used to obtain Frank VCG from S12 system to complement it in CVD diagnosis.
Journal ArticleDOI
Classification of myocardial infarction based on hybrid feature extraction and artificial intelligence tools by adopting tunable-Q wavelet transform (TQWT), variational mode decomposition (VMD) and neural networks.
TL;DR: This study proposes a novel technique for automatic detection of MI based on hybrid feature extraction and artificial intelligence tools that can serve as a complementary MI detection algorithm in the intensive care unit (ICU) of hospitals to assist the clinicians in confirming their diagnosis.
Journal ArticleDOI
Accurate and reliable 3-lead to 12-lead ECG reconstruction methodology for remote health monitoring applications
Sidharth Maheshwari,Amit Acharyya,Pachamuthu Rajalakshmi,Paolo Emilio Puddu,Michele Schiariti +4 more
TL;DR: A Reduced 3-Lead system is formed from S12 and ML12 systems at the transmission end which reduces the number of signals to 3 and is reconstructed at the receiver end using the proposed personalized reconstruction methodology, thus allaying aforementioned limitations.
Journal ArticleDOI
Personalized reduced 3-lead system formation methodology for Remote Health Monitoring applications and reconstruction of standard 12-lead system
TL;DR: A personalized reduced 3-lead (R3L) system formation methodology is proposed which employs principal component analysis, thereby, reducing redundancy and increasing SNR ratio, hence, making it suitable for wireless transmission and addressing medical constraints.
Journal ArticleDOI
Spatial enhancement of ECG using diagnostic similarity score based lead selective multi-scale linear model
TL;DR: A new patient-specific approach to enhance the spatial resolution of ECG is proposed and evaluated, and it is evident that the proposed model preserves diagnostic information better compared to other models.
References
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Journal ArticleDOI
PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals.
Ary L. Goldberger,Luís A. Nunes Amaral,Leon Glass,Jeffrey M. Hausdorff,Plamen Ch. Ivanov,Roger G. Mark,Joseph E. Mietus,George B. Moody,Chung-Kang Peng,H. Eugene Stanley +9 more
TL;DR: The newly inaugurated Research Resource for Complex Physiologic Signals (RRSPS) as mentioned in this paper was created under the auspices of the National Center for Research Resources (NCR Resources).
Journal ArticleDOI
An Accurate, Clinically Practical System For Spatial Vectorcardiography
TL;DR: A news improved system of spatial vectorcardiography that is practical for clinical use that represents an optimum compromise among such factors as soundness of theoretic basis, accuracy, reproducibility, signal-to-noise ratio, and speed of application is described.
Journal ArticleDOI
Nutzung der EKG-Signaldatenbank CARDIODAT der PTB über das Internet
TL;DR: In this paper, a Signaldatenbank for EKG-Diagnostik is presented, i.h.a. CARDIODAT, which enthält sowohl the digitalisierten eKGSignale sowie die entsprechenden zu diesen EKGs gehörenden Befunde und Patientenangaben.
Journal ArticleDOI
Wavelet Estimators in Nonparametric Regression: A Comparative Simulation Study
TL;DR: This paper discusses in detail wavelet methods in nonparametric regression, where the data are modelled as observations of a signal contaminated with additive Gaussian noise, and provides an extensive review of the vast literature of wavelet shrinkage and wavelet thresholding estimators developed to denoise such data.
Journal ArticleDOI
A comprehensive survey of wearable and wireless ECG monitoring systems for older adults
TL;DR: The results of the review suggest that most research in wearable ECG monitoring systems focus on the older adults and this technology has been adopted in aged care facilitates and it is shown that how mobile telemedicine systems have evolved and how advances in wearable wireless textile-based systems could ensure better quality of healthcare delivery.