NDLI: Hardware aware algorithm performance and the low power continuous wavelet transform

Content Provider	ACM Digital Library
Author	Casson, Alexander J.
Abstract	Highly miniaturised, wearable, physiological sensors require algorithms for the automated analysis of the collected signal. To reduce the total sensor power consumption in many situations the automated analysis is best carried on the sensor device itself and this online signal processing needs to be both accurate (in terms of correct detections and false detections) and also be implemented using very low power consumption circuits. However, reducing the circuit power consumption potentially impacts the algorithm performance. Hardware aware algorithms need to take this into account. This paper takes a previously reported 60 pW Continuous Wavelet Transform (CWT) circuit and investigates the impact of this circuit on a CWT-based algorithm for providing real-time EEG data reduction. An analytical model describing the measured variations in CWT response between different microchips is built, and this used in Matlab simulations of the EEG algorithm. Compared to using an ideal CWT stage, the impact of the modelled CWT circuit is negligible, resulting in only a 0.001 reduction in ROC-like performance area.
Starting Page	1
Ending Page	5
Page Count	5
File Format	PDF
ISBN	9781450309134
DOI	10.1145/2093698.2093826
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2011-10-26
Publisher Place	New York
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

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Hardware aware algorithm performance and the low power continuous wavelet transform