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
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