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Signal Processing Architecture Implementation Methodologies for Next-Generation Remote Healthcare Systems

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Systems Design for Remote Healthcare

Abstract

Remote healthcare, an emerging application with limited resources, requires sophisticated signal processing algorithms and their efficient architectural implementation methodologies. Direct mapping of traditional signal processing algorithms to hardware may not be suitable for such resource constrained applications. It is therefore necessary to explore the signal processing algorithms used for this applications and their corresponding low complexity and low power consumption architectural implementation using an algorithm-architecture holistic optimization approach. This chapter identifies and does the review on the traditional computationally intensive signal processing algorithms which are of significant use for healthcare related applications, focuses on the corresponding low-complexity architecture design and formulates the model of computing the overall hardware complexity of these architectures.

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Notes

  1. 1.

    Distribution of energy i.e. square modulus of the wavelet coefficients of the signal in time-scale plane (Rioul and Vetterli 1991).

  2. 2.

    Distribution of energy i.e. square modulus of the Fourier coefficients in time-frequency plane (Rioul and Vetterli 1991).

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Authors and Affiliations

  1. Indian Institute of Technology, Hyderabad, 502205, India

    Amit Acharyya

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  1. Amit Acharyya
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Correspondence to Amit Acharyya .

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  1. University of Southampton School of Electronics & Computer Science, Southampton, United Kingdom

    Koushik Maharatna

  2. FIMI S.r.l., Saronno, Italy

    Silvio Bonfiglio

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Acharyya, A. (2014). Signal Processing Architecture Implementation Methodologies for Next-Generation Remote Healthcare Systems. In: Maharatna, K., Bonfiglio, S. (eds) Systems Design for Remote Healthcare. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8842-2_4

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