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Showing 1 to 3 of 3 for “"MIT/BIH Arrhythmia Database"”.

  1. Efficient Intelligence Towards Real-Time Precision Medicine With Systematic Pruning and Quantization

    … and quantization techniques to optimize CNNs for arrhythmia classification using the MIT-BIH Arrhythmia Database. By combining magnitude-based pruning, regularization-based pruning, filter map-based pruning, and quantization at different bit-widths (4-bit, 8-bit, 2-bit, and 1-bit), the study aims …

    iupui Repository record for Efficient Intelligence Towards Real-Time Precision Medicine With Systematic Pruning and Quantization (opens in a new tab)

  2. Methods to improve the signal quality of corrupted multi-parameter physiological signals

    … similarity search to nd the closest match from a database of templates, and time-warping to reconstruct the corrupted segment using the matching template. Experiments carried out on the MIT-BIH Arrhythmia Database, a multi-parameter ECG database with many clinically signicant arrhythmias, …

    mit Repository record for Methods to improve the signal quality of corrupted multi-parameter physiological signals (opens in a new tab)

  3. PROCESSING AND CLASSIFICATION OF PHYSIOLOGICAL SIGNALS USING WAVELET TRANSFORM AND MACHINE LEARNING ALGORITHMS

    … to diagnose important irregularities such as arrhythmia or blood loss by processing one of these signals. However, the relationship between them is not yet fully studied using computational methods. Therefore, a system that extract and combine features from all physiological signals …

    vcu Repository record for PROCESSING AND CLASSIFICATION OF PHYSIOLOGICAL SIGNALS USING WAVELET TRANSFORM AND MACHINE LEARNING ALGORITHMS (opens in a new tab)