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Erschienen in:
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2023 | OriginalPaper | Buchkapitel

4. ECG Signal Detection and Lossless Data Compression Techniques for Implantable Cardiac Pacemaker Systems

verfasst von : Ashish Kumar, Manjeet Kumar, Rama S. Komaragiri

Erschienen in: High Performance and Power Efficient Electrocardiogram Detectors

Verlag: Springer Nature Singapore

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Abstract

The current trends and medical scenarios have given birth to several QRS-complex detection algorithms. The striking feature of all these detection algorithms is reduced power consumption which is an enabler of wearable devices. The research in wearable devices has integrated both unified lossy and lossless data compression techniques together. The research advancements in cardiac health monitoring have made it quantifiable to note the reduction in the sensor power by 2–5 times. It is comprehended that implementation and combination of two distinct hardware setups for QRS-complex detection and compression lead to increased system computations and power. Therefore, it is of utmost importance to have a joint QRS-complex detection and lossless data compression algorithm. In this chapter, an improved wavelet transform-based joint ECG detection, and data compression algorithm applicable for the implantable cardiac pacemaker system is presented.

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Vorheriges Kapitel ECG Signal Denoising Techniques for Cardiac Pacemaker Systems
Nächstes Kapitel FPGA Implementation of Combined ECG Signal Denoising, Peak Detection Technique for Cardiac Pacemaker Systems
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Metadaten
Titel
ECG Signal Detection and Lossless Data Compression Techniques for Implantable Cardiac Pacemaker Systems
verfasst von
Ashish Kumar
Manjeet Kumar
Rama S. Komaragiri
Copyright-Jahr
2023
Verlag
Springer Nature Singapore
Buch
High Performance and Power Efficient Electrocardiogram Detectors

Print ISBN: 978-981-19-5302-6

Electronic ISBN: 978-981-19-5303-3

Copyright-Jahr: 2023

DOI
https://doi.org/10.1007/978-981-19-5303-3_4

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