Low Power Adder Based Digital Filter for QRS Detector
Joint Authors
Murali, L.
Chitra, D.
Manigandan, T.
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-06
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Most of the Biomedical applications use dedicated processors for the implementation of complex signal processing.
Among them, sensor network is also a type, which has the constraint of low power consumption.
Since the processing elements are the most copiously used operations in the signal processors, the power consumption of this has the major impact on the system level application.
In this paper, we introduce low power concept of transistor stacking to reduce leakage power; and new architectures based on stacking to implement the full adder and its significance at the digital filter level for QRS detector are implemented.
The proposed concept has lesser leakage power at the adder as well as filter level with trade-off in other quality metrics of the design.
This enabled the design to be dealt with as the low-power corner and can be made adaptable to any level of hierarchical abstractions as per the requirement of the application.
The proposed architectures are designed, modeled at RTL level using the Verilog-HDL, and synthesized in Synopsys Design Compiler by mapping the design to 65 nm technology library standard cells.
American Psychological Association (APA)
Murali, L.& Chitra, D.& Manigandan, T.. 2014. Low Power Adder Based Digital Filter for QRS Detector. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-5.
https://search.emarefa.net/detail/BIM-1049494
Modern Language Association (MLA)
Murali, L.…[et al.]. Low Power Adder Based Digital Filter for QRS Detector. The Scientific World Journal No. 2014 (2014), pp.1-5.
https://search.emarefa.net/detail/BIM-1049494
American Medical Association (AMA)
Murali, L.& Chitra, D.& Manigandan, T.. Low Power Adder Based Digital Filter for QRS Detector. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-5.
https://search.emarefa.net/detail/BIM-1049494
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1049494