Low complexity single channel ICA architecture design methodology for pervasive healthcare applications

Swati Bhardwaj, Adapa Bhagyaraja, R. Shashank, Pranit Jadhav, Dwaipayan Biswas, Amit Acharyya, Ganesh R. Naik

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

In this paper, we propose a low-complexity architecture design methodology for the Single Channel Independent Component Analysis (SCICA) algorithm targeting pervasive personalized healthcare. SCICA, unlike the conventional ICA, separates the signal from multiple sources using only a single sensor that has tremendous potential for reducing the number of body-worn sensors. However, such applications are constrained by power consumption limitation due to the battery backup necessitating low-complexity system design and the on-chip area requirement. On the other hand, SCICA, involving computationally intensive stages including ICA, Fast Fourier Transform (FFT), Eigen Value Decomposition (EVD) and k-means clustering, is not possible to be mapped onto the low-complexity architecture directly from the algorithmic level. Hence, in this paper, adopting algorithm-architecture holistic approach, we introduce the Coordinate Rotation Digital Computer (CORDIC) based low-complexity SCICA architecture design methodology suitable for such resource constrained applications. K-means architecture used for low-complex SCICA based on the proposed methodology consumes core silicon area of 0.28mm2 and power of 0.25mW at 1.2 V, 1-MHz frequency using 0.13μm standard cell technology library (TSMC) that is about 50% less than that of the state-of-the art approaches. The functionality has been compared favorably with the conventional SCICA and hardware analysis has also cross-verified the lowcomplexity nature of the proposed methodology.

Original languageEnglish
Title of host publication2016 IEEE International Workshop on Signal Processing Systems (SiPS)
Place of PublicationTexas
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages39-44
Number of pages6
ISBN (Electronic)9781509033614
ISBN (Print)9781509033621
DOIs
Publication statusPublished - 12 Dec 2016
Externally publishedYes
Event2016 IEEE International Workshop on Signal Processing Systems, SiPS 2016 - Dallas, United States
Duration: 26 Oct 201628 Oct 2016

Publication series

NameIEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation
ISSN (Print)1520-6130

Conference

Conference2016 IEEE International Workshop on Signal Processing Systems, SiPS 2016
Country/TerritoryUnited States
CityDallas
Period26/10/1628/10/16

Keywords

  • CORDIC
  • EVD
  • FFT
  • K-means clustering
  • Pervasive healthcare
  • SCICA

Fingerprint

Dive into the research topics of 'Low complexity single channel ICA architecture design methodology for pervasive healthcare applications'. Together they form a unique fingerprint.

Cite this