Feature extraction of ECG signals for early detection of heart arrhythmia

Akilandeswari, K.; Sathya, R.

doi:10.17148/ijarcce.2014.31212

Cited by 5 publications

(2 citation statements)

References 6 publications

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“…T wave indicates ventricular repolarisation (relaxation) [21]. It can be located by checking on a maximum point using 60 samples (0.166 s) window starts after each S wave.…”

Section: T Wave Detectionmentioning

confidence: 99%

Automated detection of premature ventricular contraction in ECG signals using enhanced template matching algorithm

Malek

Elnahrawy

Anwar

et al. 2020

Biomed. Phys. Eng. Express

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Nowadays, with the increasing number of people who suffer from cardiovascular diseases such as irregular heartbeats (arrhythmia), there is a vital need to pay more attention to healthcare conditions. Therefore, the production of smart biomedical garments becomes of great necessity. The first step of manufacturing such smart garments is to build an electrocardiogram (ECG) analysis system. In this paper, the premature ventricular contraction (PVC), which is a serious life-threatening cardiovascular condition, is recognised. In addition, an improved template matching technique is developed, implemented, and evaluated to identify the irregularity of PVC beats in the QRS complex and T wave. The improvement in this technique is that a PVC recogniser is established by analysing the maximum and minimum correlation coefficient values instead of the maximum values only. Moreover, a sufficient number of features are relied upon for the accurate detection of PVC beats. The template matching algorithm is evaluated on the MIT-BIH arrhythmia, St. Petersburg Institute of Cardiological Technics (INCART), QT, MIT-BIH Supraventricular Arrhythmia, and Fantasia databases. The results show a valuable accuracy enhancement when compared with those of other recent approaches.

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“…T wave indicates ventricular repolarisation (relaxation) [21]. It can be located by checking on a maximum point using 60 samples (0.166 s) window starts after each S wave.…”

Section: T Wave Detectionmentioning

confidence: 99%

Automated detection of premature ventricular contraction in ECG signals using enhanced template matching algorithm

Malek

Elnahrawy

Anwar

et al. 2020

Biomed. Phys. Eng. Express

View full text Add to dashboard Cite

show abstract

“…For the trained clinician, an ECG transmits a large amount of information about the structure of the heart and the task of its electrical conduction system. Between other things, an ECG can be used to estimate the regularity of heartbeats [6], the size, and position of the heart chambers, the presence of any harm to the heart's muscle cells or conduction system, the effects of cardiac realty, and the function of implanted pacemakers. It is widely applied in the medical field, due to its noninvasiveness and its capability of detecting cardiac diseases.…”

Section: Introductionmentioning

confidence: 99%

A Low Cost Remotely Analysis of ECG Signal based on LabVIEW

Kamel¹,

Hafez²,

Abd-Elkader³

2019

IJCA

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Electrocardiography (ECG) is a popular technique that is widely used to detect cardiac problems. One of the difficulties in developed countries is the lack of the number of specialists in heart diseases compared with the number of patients. Another problem is the high cost of ECG devices and medical services. This work helps to minimises the effects of these problems by development of a low cost ECG that can register and analyse the ECG signal of the patient. The ECG graph and the analysed data are sent to a remote expert for diagnosis by utilising diverse of communication technologies. In this work, the Internet is used as a low price and widely available technology. The history of the patient records is also stored in a cloud server. So the solution is characterized by being cheap, easy to use, and efficient for remote usage.

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Blending Electronics with the Human Body: A Pathway toward a Cybernetic Future

et al. 2018

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At the crossroads of chemistry, electronics, mechanical engineering, polymer science, biology, tissue engineering, computer science, and materials science, electrical devices are currently being engineered that blend directly within organs and tissues. These sophisticated devices are mediators, recorders, and stimulators of electricity with the capacity to monitor important electrophysiological events, replace disabled body parts, or even stimulate tissues to overcome their current limitations. They are therefore capable of leading humanity forward into the age of cyborgs, a time in which human biology can be hacked at will to yield beings with abilities beyond their natural capabilities. The resulting advances have been made possible by the emergence of conformal and soft electronic materials that can readily integrate with the curvilinear, dynamic, delicate, and flexible human body. This article discusses the recent rapid pace of development in the field of cybernetics with special emphasis on the important role that flexible and electrically active materials have played therein.

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Feature extraction of ECG signals for early detection of heart arrhythmia

Cited by 5 publications

References 6 publications

Automated detection of premature ventricular contraction in ECG signals using enhanced template matching algorithm

Automated detection of premature ventricular contraction in ECG signals using enhanced template matching algorithm

A Low Cost Remotely Analysis of ECG Signal based on LabVIEW

Blending Electronics with the Human Body: A Pathway toward a Cybernetic Future

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