Key result
Two-tier sensor ECG compression outperforms conventional methods in reconstruction accuracy at a given bit-rate.
A novel two-tier sensor ECG compression scheme improves reconstruction accuracy at a given bit-rate budget compared to conventional methods, potentially reducing bit overhead in telemonitoring systems.
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May support efficient remote ECG monitoring; leaves open prospective clinical validation of two-tier sensor schemes.
Toward reducing the bit overhead in telemonitoring systems, a novel ECG signal compression scheme at low complexity is proposed. The ECG signal compression for a single sensor or multiple single-tier sensors is most widely studied in the literature. Different from the existing work, a scheme based on two-tier sensors is considered where the lower tier sensors are designed to be at the lower complexity for reducing the cost. The compression for both the intersensor transmission and the outward transmission from the whole system is optimized in terms of quantization bits size. The stability of the proposed scheme is analyzed. Furthermore, the joint optimization of the transmission period and the quantization bits per transmission is investigated. Experimental results show that the proposed scheme method outperforms the conventional ones with respect to ECG reconstruction accuracy at a given bit-rate budget.
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Pengda Huang (2018) studied ECG telemonitoring. Low-complexity ECG compression scheme with two-tier sensors vs. Conventional ECG compression schemes was evaluated on ECG reconstruction accuracy at a given bit-rate budget. A novel low-complexity ECG compression scheme based on two-tier sensors outperformed conventional methods in ECG reconstruction accuracy at a given bit-rate budget.
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