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Robust Ultra-Low-Power Algorithm for Normal and Abnormal ECG Signals Based on Compressed Sensing Theory

机译：基于压缩传感理论的正常和异常心电信号的鲁棒超低功耗算法

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Balouchestani Mohammadreza; Raahemifar Kaamran; Krishnan Sridhar;
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年度 2013
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1. Robust Ultra-Low-Power Algorithm for Normal and Abnormal ECG Signals Based on Compressed Sensing Theory [J] . Mohammadreza Balouchestani, Kaamran Raahemifar, Sridhar Krishnan Procedia Computer Science . 2013,第1期

机译：基于压缩传感理论的正常和异常心电信号的鲁棒超低功率算法
2. Time division multiplexing based method for compressing ECG signals: application for normal and abnormal cases. [J] . Nait-Ali A, Borsali R, Khaled W, Journal of medical engineering & technology . 2007,第5期

机译：基于时分复用的ECG信号压缩方法：适用于正常和异常情况。
3. Low sampling rate algorithm for wireless ECG systems based on compressed sensing theory - Springer [J] . Mohammadreza Balouchestani, Kaamran Raahemifar, Sridhar Krishnan Signal, Image and Video Processing . 2015,第3期

机译：基于压缩感知理论的无线ECG系统低采样率算法-Springer
4. Robust Ultra-Low-Power Algorithm for Normal and Abnormal ECG Signals Based on Compressed Sensing Theory [C] . Mohammadreza Balouchestani, Kaamran Raahemifar, Sridhar Krishnan International Conference on Sustainable Energy Information Technology . 2013

机译：基于压缩传感理论的正常和异常ECG信号鲁棒超低功率算法
5. Understanding the Practical Limitations of Applying Analog Compressed Sensing Systems to ECG Signals [D] . Dixon, Anna Marie Rogers 2012

机译：了解将模拟压缩传感系统应用于ECG信号的实际限制
6. Block sparsity-based joint compressed sensing recovery of multi-channel ECG signals [O] . Anurag Singh, Samarendra Dandapat 2017

机译：基于块稀疏性的联合压缩感知多通道ECG信号恢复
7. Advanced K-means clustering algorithm for large ECG data sets based on a collaboration of compressed sensing theory and K-SVD approach [O] . Balouchestani-Asli Mohammadreza, Krishnan S 2016

机译：基于压缩感知理论和K-sVD方法的协作，用于大型ECG数据集的高级K均值聚类算法

Robust Ultra-Low-Power Algorithm for Normal and Abnormal ECG Signals Based on Compressed Sensing Theory

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