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Praveena, R.
- Realization of Efficient Multiplier for Low Power Biomedical Signal Processing System-on-Chip Design for Portable ECG Monitoring Systems
Abstract Views :208 |
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Authors
R. Praveena
1,
S. Nirmala
2
Affiliations
1 Department of Electronics and Communication Engineering, Sengunthar College of Engineering, Tiruchengode - 637 205, Namakkal, Tamil Nadu, IN
2 Department of Electronics and Communication Engineering, Muthayammal Engineering College, Rasipuram - 637408, Namakkal, Tamil Nadu, IN
1 Department of Electronics and Communication Engineering, Sengunthar College of Engineering, Tiruchengode - 637 205, Namakkal, Tamil Nadu, IN
2 Department of Electronics and Communication Engineering, Muthayammal Engineering College, Rasipuram - 637408, Namakkal, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 8, No 24 (2015), Pagination:Abstract
This paper introduces a framework for the implementation of high throughput Multiplier for low Power Biomedical Signal Processing System-on-Chip (SoC) design for Portable ECG Monitoring Systems. In this paper the realization of Efficient Multiplier for the proposed architecture in the implementation of the Biomedical Signal SoC monitoring system is presented. Since the multiplier is the part of the processor core which needs more attention and a modified approach of generating partial product for successful multiplication of the bit streams has been presented. The proposed SoC incorporates a new architecture using the booth multiplier and sign extension multiplier for 4 bit, 8 bit and 16 bit performing multiplication on both signed and unsigned number. The implementation is further extended on the radix application of booth multiplier and sign extension method. Different parameters have been compared for both signed and unsigned multiplier. The implementation is done through VHDL on Quartus II synthesizer for Cyclone II family.Keywords
Bit Serial Multiplier, MAC Unit, Radix Algorithm and Booth Recoding, Sign Extension, System on Chip.- Least Square based Signal Denoising and Deconvolution using Wavelet Filters
Abstract Views :182 |
PDF Views:0
Authors
Affiliations
1 Centre for Computational Engineering and Networking (CEN), Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Amrita University, Coimbatore - 641112, Tamil Nadu, IN
1 Centre for Computational Engineering and Networking (CEN), Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Amrita University, Coimbatore - 641112, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 33 (2016), Pagination:Abstract
Noise, the unwanted information in a signal reduces the quality of signal. Hence to improve the signal quality, denoising is done. The main aim of the proposed method in this paper is to deconvolve and denoise a noisy signal by least square approach using wavelet filters. In this paper, least square approach given by Selesnick is modified by using different wavelet filters in place of second order sparse matrix applied for deconvolution and smoothing. The wavelet filters used in the proposed approach for denoising are Haar, Daubechies, Symlet, Coiflet, Biorthogonal and Reverse biorthogonal. The result of the proposed experiment is validated in terms of Peak Signal to Noise Ratio (PSNR). Analysis of the experiment results notify that proposed denoising based on least square using wavelet filters are comparable to the performances given by deconvolution and smoothing using the existing second order filter.Keywords
Least Square, Peak Signal to Noise Ratio (PSNR), Signal Denoising, Wavelet Filters- Design and Development of Vibroarthogram Screening Device and Assessment of Joint Motion in the Pursuit of Signal Processing
Abstract Views :171 |
PDF Views:1
Authors
Affiliations
1 Department of Electronics and Communication Engineering, Muthayammal Engineering College, IN
2 Department of Computer Science Engineering, Muthayammal Engineering College, IN
1 Department of Electronics and Communication Engineering, Muthayammal Engineering College, IN
2 Department of Computer Science Engineering, Muthayammal Engineering College, IN
Source
ICTACT Journal on Image and Video Processing, Vol 11, No 4 (2021), Pagination: 2453-2459Abstract
Abnormal conditions in the knee joint are factors to lead changes in the vibroarthro graphic signal which represents the sound or vibration emitted from the joint during flexion or extension with suitable instrumentation these signals are to be acquired and also converted into digital signal. Signals are amplitude limited, distorted limited length and non-stationary in nature. The vibroarthro graphic system is unknown, modeling of vibroarthro graphic signal are essential to explore physiological behavior. Biosignal Processing and Pattern classification techniques have been applied to vibroarthro graphic signals to derive features that characterize the state of articular cartilage surface and assist in non-invasive detection of knee joint pathology. Screening of knee joint abnormal condition using vibroarthro graphic signals could reduce the need for diagnostic surgery. Diagnostic surgeries are invasive techniques and could deteriorate joints as well. In the first part of the work suitable instrumentation setup is designed and developed. Subsequent second part of work is extended to model vibroarthro graphic signal and algorithms are used to assess joint motion in the pursuit of signal processing.Keywords
Instrumentation Amplifier, EMG Signal, Vibroarthrogram, Modeling, Signal Processing.References
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