A configurable 12-to-237KS/s 12.8mW sparse-approximation engine for mobile ExG data aggregation

Fengbo Ren, Dejan Markovic

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)

Abstract

Compressive sensing (CS) is a promising solution for low-power on-body sensors for 24/7 wireless health monitoring [1]. In such an application, a mobile data aggregator performing real-time signal reconstruction is desired for timely prediction and proactive prevention. However, CS reconstruction requires solving a sparse approximation (SA) problem. Its high computational complexity makes software solvers, consuming 2-50W on CPUs, very energy inefficient for real-time processing. This paper presents a configurable SA engine in a 40nm CMOS technology for energy-efficient mobile data aggregation from compressively sampled biomedicai signals. Using configurable architecture, a 100% utilization of computing resources is achieved. An efficient data-shuffling scheme is implemented to reduce memory leakage by 40%. At the minimum-energy point (MEP), the SA engine achieves a real-time throughput for reconstructing 61-to-237 channels of biomedicai signals simultaneously with

Original languageEnglish (US)
Title of host publicationDigest of Technical Papers - IEEE International Solid-State Circuits Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages334-335
Number of pages2
Volume58
ISBN (Print)9781479962235
DOIs
StatePublished - Mar 17 2015
Externally publishedYes
Event2015 62nd IEEE International Solid-State Circuits Conference, ISSCC 2015 - Digest of Technical Papers - San Francisco, United States
Duration: Feb 22 2015Feb 26 2015

Other

Other2015 62nd IEEE International Solid-State Circuits Conference, ISSCC 2015 - Digest of Technical Papers
CountryUnited States
CitySan Francisco
Period2/22/152/26/15

Fingerprint

Agglomeration
Engines
Signal reconstruction
Program processors
Computational complexity
Throughput
Health
Data storage equipment
Monitoring
Sensors
Processing

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

Cite this

Ren, F., & Markovic, D. (2015). A configurable 12-to-237KS/s 12.8mW sparse-approximation engine for mobile ExG data aggregation. In Digest of Technical Papers - IEEE International Solid-State Circuits Conference (Vol. 58, pp. 334-335). [7063062] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISSCC.2015.7063062

A configurable 12-to-237KS/s 12.8mW sparse-approximation engine for mobile ExG data aggregation. / Ren, Fengbo; Markovic, Dejan.

Digest of Technical Papers - IEEE International Solid-State Circuits Conference. Vol. 58 Institute of Electrical and Electronics Engineers Inc., 2015. p. 334-335 7063062.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ren, F & Markovic, D 2015, A configurable 12-to-237KS/s 12.8mW sparse-approximation engine for mobile ExG data aggregation. in Digest of Technical Papers - IEEE International Solid-State Circuits Conference. vol. 58, 7063062, Institute of Electrical and Electronics Engineers Inc., pp. 334-335, 2015 62nd IEEE International Solid-State Circuits Conference, ISSCC 2015 - Digest of Technical Papers, San Francisco, United States, 2/22/15. https://doi.org/10.1109/ISSCC.2015.7063062
Ren F, Markovic D. A configurable 12-to-237KS/s 12.8mW sparse-approximation engine for mobile ExG data aggregation. In Digest of Technical Papers - IEEE International Solid-State Circuits Conference. Vol. 58. Institute of Electrical and Electronics Engineers Inc. 2015. p. 334-335. 7063062 https://doi.org/10.1109/ISSCC.2015.7063062
Ren, Fengbo ; Markovic, Dejan. / A configurable 12-to-237KS/s 12.8mW sparse-approximation engine for mobile ExG data aggregation. Digest of Technical Papers - IEEE International Solid-State Circuits Conference. Vol. 58 Institute of Electrical and Electronics Engineers Inc., 2015. pp. 334-335
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