title: Direct Analog-to-QRS detection front-end architecture for wearable ECG applications.
abstract: The aim of this paper is to demonstrate a highly integrated architecture for direct Analog-to-QRS detection for ultra low power single chip implementation suitable for long term wearable monitoring. A novel variable input-feature correlated asynchronous sampling technique is proposed for direct sampling-cum-data compression at the ECG electrodes with embedded mixed-signal algorithm for direct recognition and capture of the fiducial points of the ECG signal, to indicate the occurrence of the Q, R and S waves. Simulation results show two key advantages (a) large compression at the source and (b) direct analog to information conversion with 98% accuracy of detection, with extremely low power and storage requirements.
authors.affiliation: Nanoscale Integrated Sensors and Circuits Laboratory, Department of Electrical and Computer Engineering, Tufts University, Medford, MA 02155, U.S.A.
authors.forename: R
authors.initials: R
authors.lastname: Agarwal
authors.forename: S
authors.initials: S
authors.lastname: Sonkusale
mesh_terms: D000465:Algorithms; D004562:Electrocardiography / Q000379:methods*; D006801:Humans