Key result
A new data compression method using the Walsh-Hadamard transform was introduced for wireless transmission of physiological measurements and compared with other algorithms.
A new data compression method using the Walsh-Hadamard transform is proposed for energy-efficient wireless transmission of physiological data.
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May support energy-efficient wireless monitoring; leaves open clinical validation and real-world performance.
Wireless sensors networks is an active research topic. The sensor nodes are the main building blocks of these networks. There is a permanent concern for designing more and more efficient nodes in order to satisfy the demanding specifications of a sensor network. This paper introduces a new method for data compression that can be applied in wireless data communication of physiological measurements. The proposed method makes use of the Walsh-Hadamard transform by selecting a subset of the coefficients based on the information content of the signal. It's performance is compared with other algorithms using the following metrics: compression factor, reconstruction error and energy consumption.
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Botezatu et al. (2014) studied this question. Data compression method using Walsh-Hadamard transform vs. Other algorithms was evaluated on Compression factor, reconstruction error and energy consumption. A new data compression method using the Walsh-Hadamard transform was introduced for wireless transmission of physiological measurements and compared with other algorithms.
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