An Energy-Efficient Biomedical Signal Processing Platform
This paper presents an energy-efficient processing platform for wearable sensor nodes, designed to support diverse biological signals and algorithms. The platform features a 0.5V-1.0V 16b microcontroller, SRAM, and accelerators for biomedical signal processing. Voltage scaling and block-level power...
Main Authors: | Kwong, Joyce, Chandrakasan, Anantha P. |
---|---|
Other Authors: | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
Format: | Article |
Language: | en_US |
Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2012
|
Online Access: | http://hdl.handle.net/1721.1/72195 https://orcid.org/0000-0002-5977-2748 |
Similar Items
-
Design of Low-Voltage Digital Building Blocks and ADCs for Energy-Efficient Systems
by: Sinangil, Mahmut E., et al.
Published: (2015) -
Energy-efficient biomedical signal processing IC design for wireless biomedical and healthcare applications
by: Xie, Yuxiang
Published: (2017) -
An efficient piezoelectric energy-harvesting interface circuit using a Bias-Flip rectifier and shared inductor
by: Ramadass, Yogesh Kumar, et al.
Published: (2010) -
An Efficient Piezoelectric Energy Harvesting Interface Circuit Using a Bias-Flip Rectifier and Shared Inductor
by: Ramadass, Yogesh Kumar, et al.
Published: (2011) -
CONV-SRAM: An Energy-Efficient SRAM With In-Memory Dot-Product Computation for Low-Power Convolutional Neural Networks
by: Biswas, Avishek, et al.
Published: (2019)