Low complexity underdetermined blind source separation system architecture for emerging remote healthcare applications

Mopuri, S and Reddy, P S and Ch, Karthik and A, Siva Prasad and Acharyya, Amit and Vanjari, Siva Rama Krishna (2014) Low complexity underdetermined blind source separation system architecture for emerging remote healthcare applications. In: 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC, 26-30 August 2014, Chicago; United States.

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Abstract

In this paper, we have proposed a low complexity architecture for the Under-determined Blind Source Separation (UBSS) algorithm targeting remote healthcare applications. UBSS algorithm, departing from the typical BSS convention-equal number of the sources and sensors present, which is of tremendous interest in the field of Biomedical signal processing especially for remote health care applications. Since such applications are constrained by the on-chip area and power consumption limitation due to the battery backup, a low complexity architecture needs to be formulated. In this paper, firstly we have introduced UBSS architecture, followed by the identification of the most computationally intensive module N-point Discrete Hilbert Transform (DHT) and finally proposed a low complexity DHT architecture design to make the entire UBSS architecture suitable for such resource constrained applications. The proposed DHT architecture implementation and experimental comparison results show that the proposed design saves 50.28%, 48.40% and 46.27% on-chip area and 53.25%, 48.01% and 45.95% power consumption when compared to the state of the art method for N=32, 64 and 128 respectively. Furthermore the proposed DHT architecture works for N=2m point, but the state of art architecture works for N=4m point, where m is an integer.

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