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Cardiac arrhythmia indicates abnormal electrical activity of heart that can be a great threat to human. So it needs to be identified for clinical diagnosis and treatment. Analysis of ECG signal plays an important role in diagnosing cardiac diseases. An efficient method of analysing ECG signal and predicting heart abnormalities have been proposed in this paper. In the proposed scheme, at first the...
The authors developed the software tool with user's interface for designing the complete processing steps of ECG signal: from the filtering, through transformation and decision-making logic up to RR intervals analysis. The algorithm configuration function is replaced by the verification mechanism for R waves recognition efficiency. The program enables to download and process (in one or two-channel...
Optimizing performance of wireless sensor networks leads to trade-offs between local computation and communication. With the usage of on-node processing, the lifetime of the sensor nodes can be extended as raw data does not need to be sent out and logged by an external device. In this paper we present our approach for on-node processing of ECG signals to signal abnormal heart rate conditions. We develop...
Algorithm design for low power platforms is constrained by memory and computational limitations, and real-world applications demand robust performance. This paper presents two algorithms that were designed with the view that simplicity can translate to robustness. The first algorithm processes electrocardiogram (ECG) signals to detect QRS complexes reliably in the presence of significant noise. The...
This paper proposes the Stationarity Index, a measure of the similarities of the auto correlation integral of a section of a time series and the cross correlation of that section with others of the same time series. This measure of similarity is a measure of the stationarity of the time series and therefore can be used not only to detect nonstationarity but to also quantify it. The index is then successfully...
Intensive Care Unit (ICU) false alarm rates can be as high as 86%, leading to a desensitization of the clinical attending staff, slowing of response times and even ignoring true alarms. False alarms are commonly caused by single channel artifacts and could be avoided if information from other independent signals were fused to form a more robust hypothesis of the etiology of the alarm. We used a standard...
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