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- W2904257198 abstract "Electrocardiogram (ECG) test is a non-invasive technique to investigate the cardiac functions of a patient. Cardiovascular disease has been the number one killer in the West for decades. For home healthcare and telemedicine, it is generally needed to record ECG signals over long periods of time. Due to a large volume of data, compressing ECG signals is required for storage and transmission. It is challenging to provide real time monitoring under limited bandwidth communication. In this paper, we present a lossless ECG signal compressor which was implemented and verified in an ARMbased FPGA platform. A novel multi-stage Huffman coding scheme was used to encode ECG signals. Experimental results showed that the proposed system has comparable compression performance and can be used in a real time monitoring system which adopts the transmission protocols such as Bluetooth." @default.
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- W2904257198 date "2018-10-01" @default.
- W2904257198 modified "2023-10-05" @default.
- W2904257198 title "An FPGA Implementation of Lossless ECG Compressors Based on Multi-Stage Huffman Coding" @default.
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- W2904257198 doi "https://doi.org/10.1109/gcce.2018.8574652" @default.
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