Exploiting Sparsity for Efficient Compression and Analysis of ECG and Fetal-ECG Signals (2017)
Abstract / truncated to 115 words
Over the last decade there has been an increasing interest in solutions for the continuous monitoring of health status with wireless, and in particular, wearable devices that provide remote analysis of physiological data. The use of wireless technologies have introduced new problems such as the transmission of a huge amount of data within the constraint of limited battery life devices. The design of an accurate and energy efficient telemonitoring system can be achieved by reducing the amount of data that should be transmitted, which is still a challenging task on devices with both computational and energy constraints. Furthermore, it is not sufficient merely to collect and transmit data, and algorithms that provide real-time analysis are ... toggle 6 keywordselectrocardiogram – fetal-electrocardiogram – sparse signals – compressive sensing – atrial fibrillation – wearables
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