An ultra low energy biomedical signal processing system operating at near-threshold

Jos Hulzink, Mario Konijnenburg, Maryam Ashouei, Arjan Breeschoten, Torfinn Berset, Jos Huisken, Jan Stuyt, Harmke de Groot, Francisco Barat, Johan David, Johan Van Ginderdeuren

Research output: Contribution to journalArticleAcademicpeer-review

31 Citations (Scopus)

Abstract

This paper presents a voltage-scalable digital signal processing system designed for the use in a wireless sensor node (WSN) for ambulatory monitoring of biomedical signals. To fulfill the requirements of ambulatory monitoring, power consumption, which directly translates to the WSN battery lifetime and size, must be kept as low as possible. The proposed processing platform is an event-driven system with resources to run applications with different degrees of complexity in an energy-aware way. The architecture uses effective system partitioning to enable duty cycling, single instruction multiple data (SIMD) instructions, power gating, voltage scaling, multiple clock domains, multiple voltage domains, and extensive clock gating. It provides an alternative processing platform where the power and performance can be scaled to adapt to the application need. A case study on a continuous wavelet transform (CWT)-based heart-beat detection shows that the platform not only preserves the sensitivity and positive predictivity of the algorithm but also achieves the lowest energy/sample for ElectroCardioGram (ECG) heart-beat detection publicly reported today.

Original languageEnglish
Article number6104198
Pages (from-to)546-554
Number of pages9
JournalIEEE Transactions on Biomedical Circuits and Systems
Volume5
Issue number6
DOIs
Publication statusPublished - 1 Dec 2011
Externally publishedYes

Keywords

  • Biomedical signal processing
  • ElectroCardioGram (ECG) processing
  • Low power
  • Low voltage
  • Multi-power domain
  • Multi-voltage domain
  • Near-threshold design

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