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This paper presents FPGA-based ECG arrhythmia detection using an Artificial Neural Network (ANN). The objective is to implement a neural network based machine learning algorithm on FPGA to detect anomalies in ECG signals, with a better performance and accuracy, compared to statistical methods. An implementation with Principal Component Analysis (PCA) for feature reduction and a multi-layer perceptron...
The shift towards massively distributed energy generation demands more decentralized flexibility to meet strict power quality constraints of the electric grid. A cyber-physical system such as a smart grid can provide increased flexibility by utilizing additional information and communication technologies to better monitor the medium and low voltage distribution networks and to actively control grid-connected...
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