QRS Detection and Data Compression Based On Adaptive Algorithm in a Wireless Wearable Sensor.
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 12
Abstract
The paper presents the QRS detection and data compression based on LMS algorithm in a wireless wearable sensor. The proposed method achieves a high sensitivity of 99.64% and positive prediction of 99.81% ECG database. The compression algorithm is used the adaptive linear data prediction scheme, which can obtain a lossless bit compression ratio (BCR) of 2.286x and to prevent the possibility of losing any patient information of potential diagnostic value. The experimental results shows that the proposed method has better QRS detection and data compression than existing methods.
Authors and Affiliations
V. Sahiti, Kalpana. M
Keywords
Related Articles
- EP ID EP22946
- DOI -
- Views 251
- Downloads 4
Analysis of Security Features Offered by Firewall
In this period where most Internet users have dissimilar intent and with the unfasten, threatening scenery of the Internet world, the security of information consequently, becomes a top concern to all. Internet security...
Survey on Data Mining for Increasing Agriculture Productivity
Crop management of certain agriculture region is depends on the climatic conditions of that region because climate can make huge impact on crop productivity. Real time weather data can helps to attain the good crop mana...
A Survey of Geographical Routing over Mobile Ad hoc Network
Geographical routing uses physical location for routing process and routing protocols are topology free and they can easily adopt the dynamic behavior of wireless ad-hoc networks. Routing protocols support various submi...
Performance of RC Frame With and Without Bracing Pushover Analysis
Now a days an earthquakes are more affected on concrete structures have been severely damaged or collapsed. So there is a need of to evaluate the seismic adequacy. We can’t avoid the future earthquakes but we can manage...
DatComm: Scheduling of the Network Traffic based on Mobility Bandwidth via Segment Resizing & Redundancy Elimination Mechanism
The wireless mobile network for efficient data communication through employment of wireless sensor nodes for network monitoring is considered as research paradigm in this work. The Monitoring nodes in the Wireless Netwo...