Optimized Continuous Wavelet Transform Algorithm Architecture and Implementation on FPGA for Motion Artifact Rejection in Radar-Based Vital Signs Monitoring
The continuous wavelet transform (CWT) has been used in radar-based vital signs detection to identify and to remove the motion artifacts from the received radar signals. Since the CWT algorithm is computationally heavy, the processing of this algorithm typically results in long processing time and c...
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9955530/ |
| _version_ | 1811178243396468736 |
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| author | Ameen Bin Obadi Medien Zeghid Phak Len Eh Kan Ping Jack Soh Marco Mercuri Omar Aldayel |
| author_facet | Ameen Bin Obadi Medien Zeghid Phak Len Eh Kan Ping Jack Soh Marco Mercuri Omar Aldayel |
| author_sort | Ameen Bin Obadi |
| collection | DOAJ |
| description | The continuous wavelet transform (CWT) has been used in radar-based vital signs detection to identify and to remove the motion artifacts from the received radar signals. Since the CWT algorithm is computationally heavy, the processing of this algorithm typically results in long processing time and complex hardware implementation. The algorithm in its standard form typically uses software processing tools and is unable to support high-performance data processing. The aim of this research is to design an optimized CWT algorithm architecture to implement it on Field Programmable Gate Array (FPGA) in order to identify the unwanted movement introduced in the retrieved vital signs signals. The optimization approaches in the new implementation structure are based on utilizing the frequency domain processing, optimizing the required number of operations and implementing parallel processing of independent operations. Our design achieves significant processing speed and logic utilization optimization. It is found that processing the algorithm using our proposed hardware architecture is 48 times faster than processing it using MATLAB. It also achieves an improvement of 58% in speed performance compared to alternative solutions reported in literature. Moreover, efficient resources utilization is achieved and reported. This advanced performance of the proposed design is due to consciously implementing comprehensive approaches of multiple optimization techniques that results in multidimensional improvements. As a result, our achieved design is suitable for utilization in high-performance data processing applications. |
| first_indexed | 2024-04-11T06:15:15Z |
| format | Article |
| id | doaj.art-61e5de9161e741c0930af19b5dfe6f7f |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-11T06:15:15Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-61e5de9161e741c0930af19b5dfe6f7f2022-12-22T04:41:04ZengIEEEIEEE Access2169-35362022-01-011012676712678610.1109/ACCESS.2022.32233509955530Optimized Continuous Wavelet Transform Algorithm Architecture and Implementation on FPGA for Motion Artifact Rejection in Radar-Based Vital Signs MonitoringAmeen Bin Obadi0https://orcid.org/0000-0003-3936-8825Medien Zeghid1https://orcid.org/0000-0001-8217-3455Phak Len Eh Kan2Ping Jack Soh3https://orcid.org/0000-0002-6394-5330Marco Mercuri4Omar Aldayel5https://orcid.org/0000-0002-6529-6573Advanced Communication Engineering (ACE) CoE, Faculty of Electronic Engineering Technology, Universiti Malaysia Perlis, Arau, Perlis, MalaysiaDepartment of Computer Engineering and Networks, College of Engineering in Wadi Alddawasir, Prince Sattam Bin Abdulaziz University, Wadi Alddawasir, Saudi ArabiaFaculty of Electronic Engineering Technology, Universiti Malaysia Perlis, Arau, Perlis, MalaysiaCentre for Wireless Communications (CWC), University of Oulu, Oulu, FinlandDipartimento di Ingegneria Informatica, Modellistica, Elettronica e Sistemistica (DIMES), University of Calabria, Arcavacata di Rende (CS), ItalyDepartment of Electrical Engineering, King Saud University, Riyadh, Saudi ArabiaThe continuous wavelet transform (CWT) has been used in radar-based vital signs detection to identify and to remove the motion artifacts from the received radar signals. Since the CWT algorithm is computationally heavy, the processing of this algorithm typically results in long processing time and complex hardware implementation. The algorithm in its standard form typically uses software processing tools and is unable to support high-performance data processing. The aim of this research is to design an optimized CWT algorithm architecture to implement it on Field Programmable Gate Array (FPGA) in order to identify the unwanted movement introduced in the retrieved vital signs signals. The optimization approaches in the new implementation structure are based on utilizing the frequency domain processing, optimizing the required number of operations and implementing parallel processing of independent operations. Our design achieves significant processing speed and logic utilization optimization. It is found that processing the algorithm using our proposed hardware architecture is 48 times faster than processing it using MATLAB. It also achieves an improvement of 58% in speed performance compared to alternative solutions reported in literature. Moreover, efficient resources utilization is achieved and reported. This advanced performance of the proposed design is due to consciously implementing comprehensive approaches of multiple optimization techniques that results in multidimensional improvements. As a result, our achieved design is suitable for utilization in high-performance data processing applications.https://ieeexplore.ieee.org/document/9955530/Continuous wavelet transformFPGA implementationradar remote sensingmotion artifact rejectionrandom body movementsFFT-based CWT |
| spellingShingle | Ameen Bin Obadi Medien Zeghid Phak Len Eh Kan Ping Jack Soh Marco Mercuri Omar Aldayel Optimized Continuous Wavelet Transform Algorithm Architecture and Implementation on FPGA for Motion Artifact Rejection in Radar-Based Vital Signs Monitoring IEEE Access Continuous wavelet transform FPGA implementation radar remote sensing motion artifact rejection random body movements FFT-based CWT |
| title | Optimized Continuous Wavelet Transform Algorithm Architecture and Implementation on FPGA for Motion Artifact Rejection in Radar-Based Vital Signs Monitoring |
| title_full | Optimized Continuous Wavelet Transform Algorithm Architecture and Implementation on FPGA for Motion Artifact Rejection in Radar-Based Vital Signs Monitoring |
| title_fullStr | Optimized Continuous Wavelet Transform Algorithm Architecture and Implementation on FPGA for Motion Artifact Rejection in Radar-Based Vital Signs Monitoring |
| title_full_unstemmed | Optimized Continuous Wavelet Transform Algorithm Architecture and Implementation on FPGA for Motion Artifact Rejection in Radar-Based Vital Signs Monitoring |
| title_short | Optimized Continuous Wavelet Transform Algorithm Architecture and Implementation on FPGA for Motion Artifact Rejection in Radar-Based Vital Signs Monitoring |
| title_sort | optimized continuous wavelet transform algorithm architecture and implementation on fpga for motion artifact rejection in radar based vital signs monitoring |
| topic | Continuous wavelet transform FPGA implementation radar remote sensing motion artifact rejection random body movements FFT-based CWT |
| url | https://ieeexplore.ieee.org/document/9955530/ |
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