Optimal design of wideband digital integrators and differentiators using harmony search algorithm

Mahata, Shibendu; Saha, Suman Kumar; Kar, Rajib; Mandal, Durbadal

doi:10.1002/jnm.2203

Cited by 24 publications

(33 citation statements)

References 54 publications

(94 reference statements)

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“…From Table , it can be observed that RMSME value of −23.42 dB is obtained by Mahata et al, whereas, the proposed approach results in the lowest RMSME value of −24.95 dB. This ensures an improvement of 6.53% in the proposed SSA‐based DD over the DD reported in Mahata et al The percentage of improvement (PI) incurred by the proposed approach over all the reported state‐of‐the‐art DDs by considering the RMSME metrics is presented in Table .…”

Section: Resultsmentioning

confidence: 84%

“…The FIR filter‐based designs are inherently stable and provide linear phase characteristics . However, to meet the same magnitude response characteristic, the FIR filter‐based approach needs higher filter order than IIR‐based approach . Several numerical methods‐based digital integrators (DIs) and DDs are reported in the literature .…”

Section: Introductionmentioning

confidence: 99%

“…Several numerical methods‐based digital integrators (DIs) and DDs are reported in the literature . However, in the recent trend, the availability of the highly efficient evolutionary algorithms facilitates the researchers to solve the DD‐type optimization problems more efficiently without using S to Z transformation, . Also, for the DDs type search problem, where the nature of search landscape is discontinuous, multimodal, multidimensional, non‐uniform, and nonlinear, heuristic and metaheuristic type evolutionary optimization algorithms provide near‐optimal global solutions .…”

Section: Introductionmentioning

confidence: 99%

“…However, in the recent trend, the availability of the highly efficient evolutionary algorithms facilitates the researchers to solve the DD‐type optimization problems more efficiently without using S to Z transformation, . Also, for the DDs type search problem, where the nature of search landscape is discontinuous, multimodal, multidimensional, non‐uniform, and nonlinear, heuristic and metaheuristic type evolutionary optimization algorithms provide near‐optimal global solutions . In this work, the IIR type first‐order DD is designed by using a recently published swarm intelligence technique‐based search method called SSA for accurately preprocessing the ECG signal.…”

Section: Introductionmentioning

confidence: 99%

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Optimal SSA‐based wideband digital differentiator design for cardiac QRS complex detection application

Nayak

Saha

Kar

et al. 2018

Int J Numerical Modelling

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In this paper, a computationally efficient, highly accurate, wideband, stable, and minimum phase infinite impulse response type first-order digital differentiator (DD) is designed by employing a swarm intelligence-based search method called Salp Swarm Algorithm (SSA) for the QRS complex detection application. The optimal coefficients of the DD are computed by minimizing a suitable fitness function to meet the ideal differentiator magnitude response characteristics.The simulation results and the root mean square magnitude error metric justify the superiority of the proposed SSA-based DD design as compared with all other differentiators employed in the QRS complex detection application, and the reported first-order DDs based on the numerical methods and the other evolutionary algorithms. The electrocardiogram signal is preprocessed by the proposed DD to generate the feature signal corresponding to each QRS complex.The generated feature signal is used as a marker to identify the exact occurrence of the QRS complex by using an adaptive threshold-based detection logic. The proposed DD-based QRS detection approach achieves a sensitivity (Se), positive prediction (PP), detection error rate (DER), and accuracy (Acc) of 99.94%, 99.93%, 0.1279%, and 99.87%, respectively, when validated against MIT/BIH arrhythmia database. Also, against the QT database, the proposed QRS detector produces a Se of 99.93%, PP of 99.97%, DER of 0.09%, and Acc of 99.90%. The performance of the proposed QRS detection technique is compared with the methods already reported in the recent literature, and the superiority of the proposed approach is established with respect to different standard performance metrics. The noise tolerance capability of the proposed QRS detector is demonstrated against MIT/BIH noise stress test database. KEYWORDS digital differentiator (DD), electrocardiogram (ECG), QRS complex detection, Salp swarm algorithm (SSA) /journal/jnm 1 of 25sinus rhythm. Any deviation from the standard sinus rhythm, called arrhythmia, can be detected by close observation of the shape and the interval duration of the waves. Hence, from a diagnosis point of view, the calculation of the wave interval is essential and can be determined by accurately identifying the time of occurrence of the R-wave/R-peak (peak of the QRS wave). From the appearance of the R-wave, the R-R interval duration can be estimated. Also, by knowing the occurrence of the R-waves, several post-processing applications like heartbeat classification, foetal heart rate monitoring, ECG coder, and heart rate variability analysis can be implemented. The time of occurrences of the R-waves is considered as markers to identify the time of the presence of the P/T-waves, QRS interval, PR interval, QT interval, ST segment, and PQ segment. 1 This information plays a pivotal role to diagnose various cardiac diseases. With the accurate estimation of the QT interval and the heart rate, a potentially dangerous disease called hypoglycaemia (low blood glucose level) can be monitored noninvasively...

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Section: Resultsmentioning

confidence: 84%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimal SSA‐based wideband digital differentiator design for cardiac QRS complex detection application

Nayak

Saha

Kar

et al. 2018

Int J Numerical Modelling

Self Cite

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“…Literature survey reveals that metaheuristics have shown promising results in the field of digital filter design [16,17,18]. Hence, more research effort should be directed towards the design of NOIs based on the nature-inspired optimization algorithms.…”

Section: Introductionmentioning

confidence: 99%

Infinite Impulse Response Approximations to the Non-integer Order Integrator Using Cuckoo Search Algorithm

Mahata¹,

Saha²,

Kar³

et al. 2017

Computer Information Systems and Industrial Management

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A popular metaheuristic global optimization technique called Cuckoo Search Algorithm (CSA) is employed to design non-integer order integrators (NOIs) in terms of the Infinite Impulse Response (IIR) templates in this paper. Extensive comparisons on the basis of design quality robustness, error convergence, and optimization time of the CSA-based NOIs are carried out with the Particle Swarm Optimization (PSO) based designs. Results demonstrate the efficient performance of CSA in exploring the multimodal, non-linear, and non-uniform error surface for this optimization problem. The CSA-based designs also outperform the recent literature by 9.67 decibel (dB) and 19.26 dB in terms of mean absolute relative magnitude error (MARME) and maximum absolute magnitude error (MAME) metrics, respectively.

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Low complexity multiobjective finite impulse response filter design using Salp swarm algorithm and its improved version

Srivastava

Dwivedi

Nagaria

2021

Int J Numerical Modelling

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Recent trend indicates that the assessment of low complexity is crucial for an effectual design of digital filter. Earlier the existing algorithms solely focused on reducing the pass band ripples and the stop band ripples in spite of the requirement of low implementation complexity in finite impulse response (FIR) filter design. In this regard, the optimization‐based FIR filter using multiobjective improved Salp swarm optimization algorithm have been designed. The proposed method not only minimizes the ripples of pass band and stop band but also minimizes the transition band, number of sparsity, which is used to implement a FIR filter that abides the specified frequency. The nondominated solution of filter design has a set of an optimum solution as pareto front that maintains the trade‐off between the various specifications. The designed FIR filter has been compared with other reported method to validate the applicability of the proposed method. The evaluation and analysis have been performed regrading minimum pass band ripples, minimum stop band ripple, minimum transition band, and implementation complexity. To prove the practical applicability of the proposed method, the designed FIR filters have been implemented in Xilinx ISE14.7 (Virtex‐VII) environment. The comparison result shows that the proposed method performs better than all other reported method in achieving minimum ripples and implementation complexity.

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Optimal design of wideband digital integrators and differentiators using harmony search algorithm

Cited by 24 publications

References 54 publications

Optimal SSA‐based wideband digital differentiator design for cardiac QRS complex detection application

Optimal SSA‐based wideband digital differentiator design for cardiac QRS complex detection application

Infinite Impulse Response Approximations to the Non-integer Order Integrator Using Cuckoo Search Algorithm

Low complexity multiobjective finite impulse response filter design using Salp swarm algorithm and its improved version

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