Research Article
Design and Implementation of Folded QRS Detector for Implantable Cardiac Pacemaker
@INPROCEEDINGS{10.4108/eai.7-12-2021.2314606, author={Josly Priyatharsni J and Uma A}, title={Design and Implementation of Folded QRS Detector for Implantable Cardiac Pacemaker}, proceedings={Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India}, publisher={EAI}, proceedings_a={ICCAP}, year={2021}, month={12}, keywords={implantable cardiac pacemaker (icp) wavelet filter bank (wfb) electrocardiogram (ecg) detection error rate (der)}, doi={10.4108/eai.7-12-2021.2314606} }
- Josly Priyatharsni J
Uma A
Year: 2021
Design and Implementation of Folded QRS Detector for Implantable Cardiac Pacemaker
ICCAP
EAI
DOI: 10.4108/eai.7-12-2021.2314606
Abstract
This paper proposes an area and power efficient technique for the design of an ECG detector. In biomedical applications, like the ECG detector for implantable cardiac pacemaker systems, area and power consumption plays a major role. Thusin this paper an area efficient ECG detector with folded pipelined FIR filter is proposed. In conventional wavelet filter bank structure,the decimated wavelet filter bank used makes use of 3 LPFs and 1 HPF of pipelined architecture. This pipelined filter structure requires more hardware. Thus in the proposedarchitecture folding transformation technique has been applied to the pipelined filter structure in order to reduce the hardware. The decimated wavelet filter bank consisting of the filter structures followed by downsamplers is used to denoise the ECG signal. The QRS complex detector consisting of a comparator, counter and a threshold block is used to find the correct location of the QRS complex.In order to furtherreduce the number of registers that occurs as a resultof the folding transformation, folding transformation with register minimization technique is applied to the pipelined filter that results in less hardware utilization.The proposed technique is implemented using XilinxSytem Generator. Thus a total area of 22.78% is saved using the proposed method. Considerably a low power of 115mW is also achieved which makes it useful for high performance medical applications.