Title
A 4.4 nW lossless sensor data compression accelerator for 2.9x system power reduction in wireless body sensors
Abstract
This paper presents a lossless sensor data compression accelerator for power reduction in wireless body sensors. First, a low complexity compression algorithm is demonstrated for the first time on electrocardiogram (ECG) and acceleration sensor data. Second, the algorithm is implemented as a custom hardware accelerator on a health monitoring driven System on Chip (SoC) in a 130nm process. The accelerator is closely integrated with the transmitter interface to minimize its contribution to system power and reduce user overhead. The accelerator adds only 4.4nWprocessing overhead and reduces the required transmitter duty cycle by 3.7x, reducing the system power by 2.9x, and allowing the entire system to consume just 2.62 mu W when transmitting ECG data at a 360Hz sampling rate.
Year
DOI
Venue
2017
10.1109/MWSCAS.2017.8053105
Midwest Symposium on Circuits and Systems Conference Proceedings
Keywords
Field
DocType
Lossless data compression,electrocardiogram,acceleration,wireless sensors,wearable sensors
Transmitter,Key distribution in wireless sensor networks,System on a chip,Wireless,Computer science,Duty cycle,Electronic engineering,Data compression,Wireless sensor network,Lossless compression
Conference
ISSN
Citations 
PageRank 
1548-3746
0
0.34
References 
Authors
3
7
Name
Order
Citations
PageRank
Jacob Breiholz161.81
Farah B. Yahya2175.05
Christopher J Lukas3132.83
Xing Chen400.68
Kevin Leach5336.50
David D. Wentzloff638345.80
Benton H. Calhoun71396152.14