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Filters that remember: duty cycling analog circuits for long term medical monitoring

Published: 10 October 2011 Publication History

Abstract

With recent improvements in the energy efficiency of digital microprocessors and radio transceivers, the relative contribution of the analog front end in the overall power consumption of a wireless health system has been steadily rising. A key reason for this is that sampling rates in most medical applications are extremely low, providing opportunities to aggressively duty cycle the power hungry processor and radio. Analog front ends have not traditionally been duty cycled because analog filters with large time constants dictate a prohibitively high wake up latency. In this paper, we show that this latency can be reduced to a large extent and duty cycling made feasible by making filters "remember" their state across power gating cycles. This is done using slight hardware modifications that can even be applied to existing boards. We illustrate our technique on a commercially available wireless electro-cardiography system. Using our methodology, we reduced the restart delay of the circuit by three orders of magnitude from 6s to 5ms. We employ our circuit design for energy efficient QRS complex detection and extraction, which results in a 3× reduction in analog front end energy consumption.

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Cited By

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  • (2015)An approximate compressor for wearable biomedical healthcare monitoring systemsProceedings of the 10th International Conference on Hardware/Software Codesign and System Synthesis10.5555/2830840.2830855(133-142)Online publication date: 4-Oct-2015
  • (2015)An approximate compressor for wearable biomedical healthcare monitoring systems2015 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS)10.1109/CODESISSS.2015.7331376(133-142)Online publication date: Oct-2015

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    cover image ACM Other conferences
    WH '11: Proceedings of the 2nd Conference on Wireless Health
    October 2011
    170 pages
    ISBN:9781450309820
    DOI:10.1145/2077546
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 10 October 2011

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    Author Tags

    1. analog filter
    2. duty cycling
    3. electro-cardiography (ECG)

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    • Research-article

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    WH '11
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    • University of California
    WH '11: Wireless Health 2011
    October 10 - 13, 2011
    California, San Diego

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    View all
    • (2015)An approximate compressor for wearable biomedical healthcare monitoring systemsProceedings of the 10th International Conference on Hardware/Software Codesign and System Synthesis10.5555/2830840.2830855(133-142)Online publication date: 4-Oct-2015
    • (2015)An approximate compressor for wearable biomedical healthcare monitoring systems2015 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS)10.1109/CODESISSS.2015.7331376(133-142)Online publication date: Oct-2015

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