R wave detection using fractional digital differentiation

Ferdi, Youcef; Herbeuval, Jean-Pierre; Charef, Abdelfatah; Boucheham, Bachir

doi:10.1016/j.rbmret.2003.08.002

Cited by 62 publications

(26 citation statements)

References 13 publications

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“…Due to its exotic nature FC has strengthened its grasp over different research areas such as statistical modeling, mechanical system analysis [3], control [4], automated control [5], instrumentation [6], signal processing [7], and radio engineering and image processing [8,9]. At present time, FC is also extensively spreading its niche in different design methods for improving fractional order controllers by fractional integral and derivative functions [10,11].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Integer Order Integrators for Deriving Improved Models of Their Fractional Counterparts

Gupta

Yadav

2013

Journal of Optimization

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Second and third order digital integrators (DIs) have been optimized first using Particle Swarm Optimization (PSO) with minimized error fitness function obtained by registering mean, median, and standard deviation values in different random iterations. Later indirect discretization using Continued Fraction Expansion (CFE) has been used to ascertain a better fitting of proposed integer order optimized DIs into their corresponding fractional counterparts by utilizing their refined properties, now restored in them due to PSO algorithm. Simulation results for the comparisons of the frequency responses of proposed 2nd and 3rd order optimized DIs and proposed discretized mathematical models of half integrators based on them, with their respective existing operators, have been presented. Proposed integer order PSO optimized integrators as well as fractional order integrators (FOIs) have been observed to outperform the existing recently published operators in their respective domains reasonably well in complete range of Nyquist frequency.

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Section: Introductionmentioning

confidence: 99%

Optimization of Integer Order Integrators for Deriving Improved Models of Their Fractional Counterparts

Gupta

Yadav

2013

Journal of Optimization

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“…differenciáló módszerek [5][6][7], neurális hálózatok [8], szupport vektor gépek [9], Wavelet-, Hilbert-, ill. hibrid szűrőrendszerek [10][11][12][13][14], rejtett Markov modellek és ICA-PCA [1] dekompozíción alapuló eljárások.…”

Section: Bevezetésunclassified

“…Az utóbbi idők kutatásai erős fókuszba helyezték a wavelet-alapú szűrők alkalmazásait, melyek igen jó kiemeléssel rendelkeznek, ám nagy számításigényük mellett sem hoztak megnyugtató eredményt: az előbbi lehetőségek jól megválasztott kombinációi robusztus működésűek, de általában a jellel kapcsolatos további feltételek teljesülését is megkívánják (alacsony, vagy ismert paraméterekkel rendelkező zavarkomponens; konkrét vagy időben kevésbé változó morfológia; szabályos jelalak, többcsatornás mérések, stb.) [1,[5][6][7][8][9][10][11][12][13].…”

Section: Bevezetésunclassified

“…Az alany ideális esetben szinte teljesen független villamos értelemben a mérőeszköztől, emiatt a hálózati zavarjelek és felharmonikusai a környezettől függő mértékben a regisztrátumban is megje- 5. ábra.…”

Section: Történeti áTtekintésunclassified

“…Emberi eredetű felvételeket elemezve kiderült, hogy az eredeti eljárás során alkalmazott köbös spline-alapú alapvonalkorrekció (és így a maga a módszer is) csak kismértékű ingadozás esetén alkalmazható. [2][3][4][5][6][7][10][11][12][13][14][15] 4. Neurokardiológiai paraméterek fluktuációinak fotopletizmográfiai alapon történő mé-résére, megfigyelésére, demonstrációjára tettem alkalmassá a Szegedi Tudományegye-temen kifejlesztett oktatási-kutatási célú EDAQ530 mérőműszert.…”

Section: öSszefoglalás/ Summaryunclassified

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Vizsgálati módszerek fejlesztése és alkalmazása a neurokardiológiai fluktuációk automatizált feldolgozásában

Norbert¹

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Design of efficient fractional operator for ECG signal detection in implantable cardiac pacemaker systems

Kumar

Komaragiri

Kumar

2019

Circuit Theory & Apps

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Summary A low power and high‐performance digital electrocardiogram (ECG) detector has become a basic requirement in modern implantable cardiac pacemakers. A fractional operator‐based digital ECG detector for modern pacemaker systems is proposed in this work. Instead of conventional thresholding, an adaptive slope prediction threshold is utilized for the detection of ECG peaks. A stochastic search‐based algorithm, namely, cuckoo search algorithm, is used to design an optimal fractional operator that is used for ECG denoising. It has been found that the proposed adaptive slope prediction threshold increases the QRS complex detection performance. A low detection error rate (DER) ranges from 0.01% to 0.56%, positive predictivity (P+) ranges from 99.32% to 99.98%, sensitivity (Se) ranges from 99.45% to 99.98%, and a detection accuracy (Acc) ranges from 99.43% to 99.96% for different databases are achieved for the proposed ECG detector, which is better compared with the existing ECG detectors. The proposed design of fractional order operator based on the lattice wave digital filter (LWDF) requires a minimum number of the multipliers for its structural realization.

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R wave detection using fractional digital differentiation

Cited by 62 publications

References 13 publications

Optimization of Integer Order Integrators for Deriving Improved Models of Their Fractional Counterparts

Optimization of Integer Order Integrators for Deriving Improved Models of Their Fractional Counterparts

Vizsgálati módszerek fejlesztése és alkalmazása a neurokardiológiai fluktuációk automatizált feldolgozásában

Design of efficient fractional operator for ECG signal detection in implantable cardiac pacemaker systems

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