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Titlebook: High Performance and Power Efficient Electrocardiogram Detectors; Ashish Kumar,Manjeet Kumar,Rama S. Komaragiri Book 2023 The Editor(s) (i

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ECG Signal Detection and Lossless Data Compression Techniques for Implantable Cardiac Pacemaker Sysorithms 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 i
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Digital ECG Signal Watermarking and Compression,tion on the Internet. ECG data is considered as the most vulnerable dataset. To safeguard and protect the personal ECG data, the use of security schemes like watermarking of ECG data is the focus of the present Chapter.
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Conclusion and Future Work,velet transform-based filter bank realized using linear phase array structure and achieved an SNR of .53.92 dB. It is found that the combination of ECG signal detection and lossless ECG data compression reduces the false wave detection and increases the ECG data compression ratio, thus facilitating
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Ashish Kumar,Manjeet Kumar,Rama S. Komaragiri definition. This book introduces data science in an applied setting, by first giving a coherent overview of the background in Part I, and then presenting the nuts and bolts of the discipline by means of diverse use cases in Part II; finally, specific and insightful lessons learned are distilled in
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Ashish Kumar,Manjeet Kumar,Rama S. Komaragirinned? This chapter explores a potential solution based on a use case from the manufacturing industry where the drivers of production complexity (and thus costs) were supposed to be determined by analyzing raw data from the shop floor, with the goal of subsequently recommending measures to simplify p
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Ashish Kumar,Manjeet Kumar,Rama S. Komaragirir describes a fundamental principle, method or tool in data .This book has two main goals: to define data science through the work of data scientists and their results, namely data products, while simultaneously providing the reader with relevant lessons learned from applied data science projects at
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