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This paper presents a novel algorithm for ECG signal feature extraction and proposes a solution for detection of abnormal beats. The main goal is to extract signal and heartbeat parameters by using local extreme values and their dependences. This produces the averaged heartbeat which is used to analyze the signal in real time to detect anomalies. The main advantages of our approach are fast computation...
This paper introduces a study on the biometrics from its accuracy problems point of view. The concerns about the errors and their sources in security, forensic and court applications that face researchers in their study for general successful biometric systems are discussed. Three new biometric features are introduced, namely the ECG signal and the X-ray image for human recognition while presenting...
This paper deals with the analysis of the ECG signal during the same everyday activities of 5 people working together. The purpose of the work is to determine the influence of such factors as eating, working or walking on the pulse and the average heartbeat shape. The inter-beat intervals and R values are measured and examined. Authors try to draw conclusions which will help them in developing the...
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