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Distributed Time-Sensitive Systems
book

Distributed Time-Sensitive Systems

by Tanupriya Choudhury, Rahul Kumar Singh, Ravi Tomar, S. Balamurugan, J. C. Patni
June 2025
Intermediate to advanced
400 pages
10h 37m
English
Wiley-Scrivener
Content preview from Distributed Time-Sensitive Systems

8A VLSI-Based Multi-Level ECG Compression Scheme with RL and VL Encoding

P. Balasubramani1*, S. Swathi Krishna2 and E. Udayakumar1

1Department of ECE, KIT-KalaignarKarunanidhi Institute of Technology, Coimbatore, Tamil Nadu, India

2VLSI Design, KIT-KalaignarKarunanidhi Institute of Technology, Coimbatore, Tamil Nadu, India

Abstract

Wearable sensor nodes produce a lot of data because they are equipped with characteristics for continuous monitoring. aside from the fact that data transmission uses about 3/4 of the sensor node’s power. In wireless body area networks, nodes generate a sizable quantity of information throughout the prolonged and continuous monitoring of any physiological signals, boosting transmission power and battery consumption. To save both space and energy, a compression of data without loss technique is recommended for an ECG signal monitoring system. Bit compression is used to create a suggested hybrid lossless multi-level compression system using different lengths of encoding with dictionary selection. When the input bit stream’s amplitude values are significantly lower and there are uninterrupted runs of ones and zeros, encoding with variable length is used. Among the most efficient linear encoding approaches applied is code. A huge collection of matching patterns can be produced using an effective bitmask and dictionary selection strategy, which will considerably minimize the amount of memory needed to store a set of repeating random data. The sql is ...

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Publisher Resources

ISBN: 9781394197729