Literature DB >> 22254775

A mixed signal ECG processing platform with an adaptive sampling ADC for portable monitoring applications.

Hyejung Kim1, Chris Van Hoof, Refet Firat Yazicioglu.   

Abstract

This paper describes a mixed-signal ECG processing platform with an 12-bit ADC architecture that can adapt its sampling rate according to the input signals rate of change. This enables the sampling of ECG signals with significantly reduced data rate without loss of information. The presented adaptive sampling scheme reduces the ADC power consumption, enables the processing of ECG signals with lower power consumption, and reduces the power consumption of the radio while streaming the ECG signals. The test results show that running a CWT-based R peak detection algorithm using the adaptively sampled ECG signals consumes only 45.6 μW and it leads to 36% less overall system power consumption.

Mesh:

Year:  2011        PMID: 22254775     DOI: 10.1109/IEMBS.2011.6090414

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  1 in total

1.  Adaptive Sampling of the Electrocardiogram Based on Generalized Perceptual Features.

Authors:  Piotr Augustyniak
Journal:  Sensors (Basel)       Date:  2020-01-09       Impact factor: 3.576

  1 in total

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