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Identification of Fiber Type Proportions in Gastrocnemius Lateralis and Soleus Muscles Using Surface EMG signals and Concentration Measure Derived From Rihaczek Distribution

Identification of Fiber Type Proportions in Gastrocnemius La...

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2025 International Conference on Emerging Technologies for Intelligent Systems, ETIS 2025

作者： Nair, Remya R Sidharth, N. Venugopal, G. Biomedical Instrumentation and Signal Processing Lab Department of Instrumentation and Control Engineering Kerala Palakkad India Department of Electronics and Communication Engineering Kerala Palakkad India

ISBN: (纸本)9798331507541

Fiber type proportion influences the fatigue characteristics and force production in skeletal muscles. In this study, surface electromyography signals and concentration measure derived from Rihaczek distribution are used to identify the fiber type proportions in gastrocnemius lateralis (GL) and soleus (SOL) muscles. signals are acquired using standard protocols until the subjects experience muscle fatigue and are processed using Rihaczek distribution. Further, a comparative study is performed to analyze the advantages of energy-based features over complexity, statistical, and spectral frequency-based features in analyzing the fiber type proportions. Features such as renyi information, spectral skewness, spectral flatness, and peak frequency are also extracted from the distributions of non-fatigue (NF) and fatigue (F) segments. Results indicate that the extracted features showed a decrease during fatigue in the signals of GL and an increase in the case of SOL, reflecting their distinct fiber composition. The highest statistical significance of p equal to 4.26E-05 and 6.47E-05 respectively is obtained using concentration measure for differentiating the signals of GL and SOL during NF and F states. The lowest significance is observed for renyi information in discriminating the signals. The energy-based features like concentration measure and spectral flatness are found highly sensitive to fiber-type variations compared to other features considered in this study. Thus, the proposed method using Rihaczek distribution is found suitable for identifying the fiber type differences among GL and SOL. This approach may be utilized for identifying the fiber typology in different skeletal muscles which finds application in sports science. © 2025 IEEE.

关键词： Creatinine

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Effect of Time and Frequency Windows in Analyzing the Muscle Typology of Adductor Pollicis and Triceps Brachii Muscles Using Surface EMG signals and Smoothed Pseudo-Wigner-Ville Distribution

Effect of Time and Frequency Windows in Analyzing the Muscle...

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2025 International Conference on Emerging Technologies for Intelligent Systems, ETIS 2025

作者： Sidharth, N. Nair, Remya R Venugopal, G. Department of Electronics and Communication Engineering Kerala Palakkad India Ieee Biomedical Instrumentation and Signal Processing Lab Department of Instrumentation and Control Engineering Kerala Palakkad India

ISBN: (纸本)9798331507541

The selection of time and frequency windows is having a significant impact on the time-frequency (TF) resolution and interference suppression of smoothed pseudo-Wigner-Ville distribution (SPWVD). In this study, the effect of time and frequency windows in demonstrating the fiber type differences among adductor pollicis (AP) and triceps brachii (TB) muscles is investigated using surface electromyography signals and SPWVD-derived features. The first and last two seconds of the pre-processed signals are considered non-fatigue (NF) and fatigue (FT) segments, respectively. The median frequency (MDF) and mean power of the TF spectrum (MPS) are extracted from the obtained spectra. The statistical significance of SPWVD-derived features in differentiating the signals of AP and TB during NF and FT states are evaluated for different time and frequency windows, using the Mann-Whitney test. Results indicate that the frequency-based feature showed greater statistical significance compared to the energy-based feature for all the different time and frequency window lengths taken. MDF is found to decrease for both muscles, whereas MPS increases for TB and decreases in the case of AP. The highest significant value of 5.39E-27 is observed for MDF with time and frequency window length of 201 and 2001, respectively, for differentiating the signals during the fatigue state. Moreover, all the extracted features showed high statistical significance with p © 2025 IEEE.

关键词： Wigner-Ville distribution

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Identification of Fiber Type Proportions in Gastrocnemius Lateralis and Soleus Muscles Using Surface EMG signals and Concentration Measure Derived From Rihaczek Distribution

Identification of Fiber Type Proportions in Gastrocnemius La...

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Intelligent Systems (ETIS), Emerging Technologies for

作者： Remya R Nair Sidharth N Venugopal G Department of Instrumentation and Control Engineering Biomedical Instrumentation and Signal Processing Lab N.S.S College of Engineering (Affiliated to APJ Abdul Kalam Technological University) Palakkad Kerala India Department of Electronics and Communication Engineering N.S.S College of Engineering (Affiliated to APJ Abdul Kalam Technological University) Palakkad Kerala India

ISBN: (数字)9798331507541

ISBN: (纸本)9798331507558

关键词： Training Time-frequency analysis Muscles Feature extraction Fatigue Electromyography Complexity theory Noise measurement Optical fiber testing Surface treatment

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Effect of Time and Frequency Windows in Analyzing the Muscle Typology of Adductor Pollicis and Triceps Brachii Muscles Using Surface EMG signals and Smoothed Pseudo-Wigner-Ville Distribution

Effect of Time and Frequency Windows in Analyzing the Muscle...

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Intelligent Systems (ETIS), Emerging Technologies for

作者： Sidharth N Remya R Nair Venugopal G Department of Electronics and Communication Engineering N.S.S College of Engineering (Affiliated to APJ Abdul Kalam Technological University) Palakkad Kerala India Department of Instrumentation and Control Engineering IEEE Biomedical Instrumentation and Signal Processing Lab N.S.S College of Engineering (Affiliated to APJ Abdul Kalam Technological University) Palakkad Kerala India

ISBN: (数字)9798331507541

ISBN: (纸本)9798331507558

关键词： Interference suppression Time-frequency analysis Neuromuscular Muscles Feature extraction Fatigue Electromyography Noise measurement Optical fiber testing signal resolution

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ON THE REGULAR STRUCTURE FOR THE FAST 2-D DCT ALGORITHM

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-ANALOG AND DIGITAL signal processing 1993年第4期40卷 259-266页

作者： CHO, NI YUN, ID LEE, SU Signal Processing Lab Department of Control and Instrumentation Engineering Seoul National University Seoul South Korea

Recently, a new fast algorithm for 2-D N x N DCT, where N=2m, has been proposed [1]. It requires only half number of multiplications compared to the conventional row-column approach. However, the signal flow graph for the post-addition stage seems very complicated and the order of the output index is seemingly irregular, because the post-addition stage was not based on the mathematical expressions. Consequently, derivation of the signal flow graph becomes complicated as the transform size increases. Hence, In this paper, we present a systematic expressions for the post-addition stage in the 2-D DCT algorithm [1], which enable us to implement any N x N DCT in a straightforward manner. The results show that the signal flow graph from input to output has the recursive structure in which the structure for smaller N reappears for larger N. However, the number of additions increases in the new signal flow graph at the expense of improving the regularity in the structure.

关键词： Discrete cosine transforms signal processing algorithms Flow graphs Matrix decomposition Instruments Genetic expression Circuits Digital signal processing

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Construction of efficient error-limiting variable length codes

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ELECTRONICS LETTERS 1996年第15期32卷 1361-1362页

作者： Park, CS Kim, RC Lee, SU Department of Control and Instrumentation Eng. Signal Processing Lab. Seoul National University Seoul Korea

A novel method for generating an optimal binary prefix condition code is described. The proposed code generation method generates optimal variable length codes that have short average error spans compared to the existing self-synchronising codes. A technique for calculating the expected error spans of variable length codes are also presented.

关键词： variable length codes

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On false-data attacks in robust multi-sensor-based estimation

On false-data attacks in robust multi-sensor-based estimatio...

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9th IEEE International Conference on control and Automation, ICCA 2011

作者： Bishop, Adrian N. Savkin, Andrey V. Control and Signal Processing Group Canberra Research Lab Australia Sydney Australia

ISBN: (纸本)9781457714757

State estimation in critical networked infrastructure such as the transportation and electricity (smart grid) networks is becoming increasingly important. Consequently, the security of state estimation algorithms has been identified as an important design factor in order to safeguard critical infrastructure. In this paper we study false-data attacks on robust state estimation in multi-sensor-based systems. Specifically, we suppose there is a group of attacking entities that want to compromise the integrity of the state estimator by hijacking certain sensors and distorting their outputs. We consider an underlying class of uncertain (discrete-time) systems and we outline a decentralized set-valued state estimation algorithm that recursively produces an ellipsoidal set of all those state estimates consistent with the measurements and modelling assumptions. We then show that in order for the attack to go undetected, the distorted measurements need to be carefully designed. In particular, we compute a set of those measurements which are consistent with the modelling assumptions. This set then forms the basis for a test to detect false-data attacks and provides a quantitative measure of the resilience of the system to false-data attacks. We also briefly discuss how an attacker can design their false-data attack in some optimal fashion while ensuring it goes undetected. © 2011 IEEE.

关键词： Critical infrastructures

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Speech Enhancement Using the Combination of Adaptive Wavelet Threshold and Spectral Subtraction based on Wavelet Packet Decomposition

Speech Enhancement Using the Combination of Adaptive Wavelet...

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2012 IEEE 11th International Conference on signal processing(ICSP 2012)

作者： LI Ruwei BAO Changchun XIA Bingyin JIA Maoshen Speech and Audio Signal Processing Lab School of Electronic Information and Control EngineeringBeijing University of Technology

ISBN: (纸本)9781467321969

A speech enhancement approach using adaptive wavelet threshold and spectral subtraction in the wavelet domain is proposed in this paper. First, in order to maintain the linear phase and prevent the spectral aliasing of reconstructed signals, the noisy signals are decomposed by un-decimated bi-orthogonal wavelet packet. Second, spectral subtraction is used for reducing noise from the two low-frequency sub-bands, which avoids the excessive distortion of low-frequency components caused by wavelet de-noising. Next, the improved wavelet shrinkage algorithm is adopted in the other high-frequency sub-bands. This threshold is updated by adaptively tracking the level of noise. Finally, these modified wavelet coefficients are reconstructed to obtain the enhanced speech signals by the inverse wavelet packet transform. The experimental results show that the proposed approach outperforms spectral subtraction method and wavelet de-noising method.

关键词： Speech Enhancement Wavelet Transform Wavelet De-noising Spectral Subtraction

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A Wavelet Fusion Method for Speech Enhancement

A Wavelet Fusion Method for Speech Enhancement

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2012 IEEE 11th International Conference on signal processing(ICSP 2012)

作者： Bing-yin XIA Chang-chun BAO Speech and Audio Signal Processing Lab School of Electronic Information and Control EngineeringBeijing University of Technology

ISBN: (纸本)9781467321969

In order to integrate the characteristics of different noise reduction algorithms, a wavelet fusion method for speech enhancement is proposed in this paper. In the proposed method, the noisy speech is first decomposed into several sub-bands by wavelet packet analysis, and then enhanced by the statistical model based method and wavelet thresholding method, respectively. The output of each sub-band is obtained under the fusion rule based on the cross-correlation and the a priori SNRs of the two enhanced coefficient sets. Finally, the enhanced coefficients are transformed back to time domain to get the enhanced speech. The performance of the proposed method is evaluated under ITU-T G.160. The test result shows that, comparing with the reference algorithms, the proposed method produces enhanced speech with better objective quality, while the amount of noise reduction and SNR improvement remains at a high level. The impact on the speech level is kept in an acceptable range at the same time.

关键词： speech enhancement wavelet fusion WEDM wavelet thresholding

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Tissue P systems with cell separation: attacking the partition problem

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Science China(Information Sciences) 2011年第2期54卷 293-304页

作者： ZHANG XingYi1, WANG Shuo2, NIU YunYun2 & PAN LinQiang2 1Key lab of Intelligent Computing and signal processing of Ministry of Education, School of Computer Science and Technology, Anhui University, Hefei 230039, China 2Image processing and Intelligent control Key laboratory of Education Ministry of China, Department of control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China 1. Key Lab of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei 230039 China2. Image Processing and Intelligent Control Key Laboratory of Education Ministry of China Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China

Tissue P systems are distributed parallel and non-deterministic computing models in the framework of membrane computing, which are inspired by intercellular communication and cooperation between neurons. Recently, cell separation is introduced into tissue P systems, which enables systems to generate an exponential workspace in a polynomial time. In this work, the computational power of tissue P systems with cell separation is investigated. Specifically, a uniform family of tissue P systems with cell separation is constructed for effciently solving a well-known NP-complete problem, the partition problem.

关键词： membrane computing tissue P system cell separation partition problem

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