Peak Detection Implementation for Real-Time Signal Analysis Based on FPGA

In this paper a real-time peak detection method based on modified Automatic Multiscale Field Detection (AMPD) algorithm and Field Programmable Gate Arrays (FPGA) technologies of a time series data is studied, and optimum scaling is highlighted after testing several scales. To validate the results obtained from modified algorithm, they are compared with the results of original AMPD method. As data of this study, three-phase voltage values of a power station are used. A detail detective sensitivity analysis of phase-to-phase voltage values is tried at different scales. Moreover, the original algorithm is tested regarding the off-line mode to obtain optimum scaling for real-time peak point detection. It is concluded that the peak detection of minimum and maximum points of data series achieved by modified algorithm is very close to the results of original AMPD algorithm.

[1]  Feng Ding,et al.  Peak-Ratio Analysis Method for Enhancement of LOM Protection Using M-Class PMUs , 2016, IEEE Transactions on Smart Grid.

[2]  Krishan L. Khatri,et al.  Early Detection of Peak Demand Days of Chronic Respiratory Diseases Emergency Department Visits Using Artificial Neural Networks , 2018, IEEE Journal of Biomedical and Health Informatics.

[3]  Q. M. Jonathan Wu,et al.  Automatic Detection of Ship Targets Based on Wavelet Transform for HF Surface Wavelet Radar , 2017, IEEE Geoscience and Remote Sensing Letters.

[4]  Bapi Raju Surampudi,et al.  Inter-patient heart-beat classification using complete ECG beat time series by alignment of R-peaks using SVM and decision rule , 2016, 2016 International Conference on Signal and Information Processing (IConSIP).

[5]  Pan Du,et al.  Bioinformatics Original Paper Improved Peak Detection in Mass Spectrum by Incorporating Continuous Wavelet Transform-based Pattern Matching , 2022 .

[6]  A. Flammini,et al.  Efficient R-peak detection algorithm for real-time analysis of ECG in portable devices , 2016, 2016 IEEE Sensors Applications Symposium (SAS).

[7]  Koshy George,et al.  A novel approach to peak detection using sequential learning algorithm , 2016, 2016 2nd International Conference on Contemporary Computing and Informatics (IC3I).

[8]  Pornchai Phukpattaranont,et al.  Application of wavelet transform and Shannon energy on R peak detection algorithm , 2016, 2016 13th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON).

[9]  Atman Jbari,et al.  Adaptive ECG Wavelet analysis for R-peaks detection , 2016, 2016 International Conference on Electrical and Information Technologies (ICEIT).

[10]  Joel W. Burdick,et al.  Spike detection using the continuous wavelet transform , 2005, IEEE Transactions on Biomedical Engineering.

[11]  Anil Gopal Sawant,et al.  Spartan 6 FPGA implementation of 2D-discrete wavelet transform in Verilog HDL , 2016, 2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT).

[12]  Yuichiro Shibata,et al.  FPGA implementation of the automatic multiscale based peak detection for real-time signal analysis on renewable energy systems , 2016, 2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA).

[13]  Jianqing Li,et al.  An Adaptive and Time-Efficient ECG R-Peak Detection Algorithm , 2017, Journal of healthcare engineering.

[14]  Jean-Paul Gaubert,et al.  Design and implementation of a high-performance technique for tracking PV peak power , 2017 .

[15]  S. Das,et al.  Noise elimination and ECG R peak detection using wavelet transform , 2016, 2016 IEEE 7th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON).

[16]  Amitkumar Singh.  Design and Simulation of FPGA based Digital System for Peak Detection and Counting , 2013 .

[17]  Unsang Park,et al.  R Peak Detection Method Using Wavelet Transform and Modified Shannon Energy Envelope , 2017, Journal of healthcare engineering.

[18]  Pradyut Kumar Biswal,et al.  Robust ECG artifact removal from EEG using continuous wavelet transformation and linear regression , 2016, 2016 International Conference on Signal Processing and Communications (SPCOM).

[19]  Girish Keshav Palshikar.  Simple Algorithms for Peak Detection in Time-Series , 2009 .

[20]  Martin Wolf,et al.  An Efficient Algorithm for Automatic Peak Detection in Noisy Periodic and Quasi-Periodic Signals , 2012, Algorithms.

[21]  Omar Escalona,et al.  Denoising and automated R-peak detection in the ECG using Discrete Wavelet Transform , 2016, 2016 Computing in Cardiology Conference (CinC).

[22]  A. L. Jacobson,et al.  Auto-threshold peak detection in physiological signals , 2001, 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.