Efficient ECG Analysis with High F1 Score and Low Computation Complexity

In this paper, the identification of continuous-time fractional order linear systems (FOLS) is investigated. In order to identify the differentiation or- ders as well as parameters and reduce the computation complexity, a novel identification method based on Chebyshev wavelet is proposed. Firstly, the Chebyshev wavelet operational matrices for fractional integration operator is derived. Then, the FOLS is converted to an algebraic equation by using the the Chebyshev wavelet operational matrices. Finally, the parameters and differentiation orders are estimated by minimizing the error between the output of real system and that of identified systems. Experimental results show the effectiveness of the proposed method.

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ECG Analysis: A Brief Review

Recent Patents on Computer Science ◽

10.2174/2213275912666190408111123 ◽

2019 ◽

Vol 12 ◽

Author(s):

Saumendra Kumar Mohapatra ◽

Mihir Narayan Mohanty

Keyword(s):

Technology Development ◽

Accurate Result ◽

Early Stage ◽

Heart Diseases ◽

Short Review ◽

Disease Diagnosis ◽

Accurate Analysis ◽

Ecg Analysis ◽

Proper Analysis ◽

Living Being

Background: In recent years cardiac problems found proportional to technology development. Cardiac signal (Electrocardiogram) relates to the electrical activity of the heart of a living being and it is an important tool for diagnosis of heart diseases. Method: Accurate analysis of ECG signal can provide support for detection, classification, and diagnosis. Physicians can detect the disease and start the diagnosis at an early stage. Apart from cardiac disease diagnosis ECG can be used for emotion recognition, heart rate detection, and biometric identification. Objective: The objective of this paper is to provide a short review of earlier techniques used for ECG analysis. It can provide support to the researchers in a new direction. The review is based on preprocessing, feature extraction, classification, and different measuring parameters for accuracy proof. Also, different data sources for getting the cardiac signal is presented and various application area of the ECG analysis is presented. It explains the work from 2008 to 2018. Conclusion: Proper analysis of the cardiac signal is essential for better diagnosis. In automated ECG analysis, it is essential to get an accurate result. Numerous techniques were addressed by the researchers for the analysis of ECG. It is important to know different steps related to ECG analysis. A review is done based on different stages of ECG analysis and its applications in society.

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Efficient Prediction of Network Traffic for Real-Time Applications

Journal of Computer Networks and Communications ◽

10.1155/2019/4067135 ◽

2019 ◽

Vol 2019 ◽

pp. 1-11 ◽

Cited By ~ 13

Author(s):

Muhammad Faisal Iqbal ◽

Muhammad Zahid ◽

Durdana Habib ◽

Lizy Kurian John

Keyword(s):

Power Consumption ◽

Real Time ◽

Power Management ◽

Dynamic Resource Allocation ◽

Computation Complexity ◽

Real Time Traffic ◽

Double Exponential ◽

Efficient Prediction ◽

Dynamic Resource ◽

Double Exponential Smoothing

Accurate real-time traffic prediction is required in many networking applications like dynamic resource allocation and power management. This paper explores a number of predictors and searches for a predictor which has high accuracy and low computation complexity and power consumption. Many predictors from three different classes, including classic time series, artificial neural networks, and wavelet transform-based predictors, are compared. These predictors are evaluated using real network traces. Comparison of accuracy and cost, both in terms of computation complexity and power consumption, is presented. It is observed that a double exponential smoothing predictor provides a reasonable tradeoff between performance and cost overhead.

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Quick ECG Analysis for On-Line Holter Monitoring Systems

2006 International Conference of the IEEE Engineering in Medicine and Biology Society ◽

10.1109/iembs.2006.4397743 ◽

2006 ◽

Author(s):

Laszlo Szilagyi ◽

Sandor M. Szilagyi ◽

Gergely Fordos ◽

Zoltan Benyo

Keyword(s):

Holter Monitoring ◽

Monitoring Systems ◽

Ecg Analysis ◽

On Line

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Transparent CoAP Services to IoT Endpoints through ICN Operator Networks

Sensors ◽

10.3390/s19061339 ◽

2019 ◽

Vol 19 (6) ◽

pp. 1339 ◽

Cited By ~ 2

Author(s):

Hasan Islam ◽

Dmitrij Lagutin ◽

Antti Ylä-Jääski ◽

Nikos Fotiou ◽

Andrei Gurtov

Keyword(s):

Storage Capacity ◽

Communication Overhead ◽

Full Potential ◽

Core Network ◽

Computation Complexity ◽

State Management ◽

Iot Devices ◽

Novel Applications ◽

And Storage ◽

The Internet Of Things

The Constrained Application Protocol (CoAP) is a specialized web transfer protocol which is intended to be used for constrained networks and devices. CoAP and its extensions (e.g., CoAP observe and group communication) provide the potential for developing novel applications in the Internet-of-Things (IoT). However, a full-fledged CoAP-based application may require significant computing capability, power, and storage capacity in IoT devices. To address these challenges, we present the design, implementation, and experimentation with the CoAP handler which provides transparent CoAP services through the ICN core network. In addition, we demonstrate how the CoAP traffic over an ICN network can unleash the full potential of the CoAP, shifting both overhead and complexity from the (constrained) endpoints to the ICN network. The experiments prove that the CoAP Handler helps to decrease the required computation complexity, communication overhead, and state management of the CoAP server.

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