Comparison of different electrocardiography with vectorcardiography transformations

This paper deals with transformations from electrocardiographic (ECG) to vectorcardiographic (VCG) leads. VCG provides better sensitivity, for example for the detection of myocardial infarction, ischemia, and hypertrophy. However, in clinical practice, measurement of VCG is not usually used because it requires additional electrodes placed on the patient's body. Instead, mathematical transformations are used for deriving VCG from 12-leads ECG. In this work, Kors quasi-orthogonal transformation, inverse Dower transformation, Kors regression transformation, and linear regression-based transformations for deriving P wave (PLSV) and QRS complex (QLSV) are implemented and compared. These transformation methods were not yet compared before, so we have selected them for this paper. Transformation methods were compared for the data from the Physikalisch-Technische Bundesanstalt (PTB) database and their accuracy was evaluated using a mean squared error (MSE) and a correlation coefficient (R) between the derived and directly measured Frank's leads. Based on the statistical analysis, Kors regression transformation was significantly more accurate for the derivation of the X and Y leads than the others. For the Z lead, there were no statistically significant differences in the medians between Kors regression transformation and the PLSV and QLSV methods. This paper thoroughly compared multiple VCG transformation methods to conventional VCG Frank's orthogonal lead system, used in clinical practice.Web of Science1914art. no. 307

Hybrid methods based on empirical mode decomposition for non-invasive fetal heart rate monitoring

This study focuses on fetal electrocardiogram (fECG) processing using hybrid methods that combine two or more individual methods. Combinations of independent component analysis (ICA), wavelet transform (WT), recursive least squares (RLS), and empirical mode decomposition (EMD) were used to create the individual hybrid methods. Following four hybrid methods were compared and evaluated in this study: ICA-EMD, ICA-EMD-WT, EMD-WT, and ICA-RLS-EMD. The methods were tested on two databases, the ADFECGDB database and the PhysioNet Challenge 2013 database. Extraction evaluation is based on fetal heart rate (fHR) determination. Statistical evaluation is based on determination of correct detection (ACC), sensitivity (Se), positive predictive value (PPV), and harmonic mean between Se and PPV (F1). In this study, the best results were achieved by means of the ICA-RLS-EMD hybrid method, which achieved accuracy(ACC) > 80% at 9 out of 12 recordings when tested on the ADFECGDB database, reaching an average value of ACC > 84%, Se > 87%, PPV > 92%, and F1 > 90%. When tested on the Physionet Challenge 2013 database, ACC > 80% was achieved at 12 out of 25 recordings with an average value of ACC > 64%, Se > 69%, PPV > 79%, and F1 > 72%.Web of Science8512185120

Novel hybrid extraction systems for fetal heart rate variability monitoring based on non-invasive fetal electrocardiogram

This study focuses on the design, implementation and subsequent verification of a new type of hybrid extraction system for noninvasive fetal electrocardiogram (NI-fECG) processing. The system designed combines the advantages of individual adaptive and non-adaptive algorithms. The pilot study reviews two innovative hybrid systems called ICA-ANFIS-WT and ICA-RLS-WT. This is a combination of independent component analysis (ICA), adaptive neuro-fuzzy inference system (ANFIS) algorithm or recursive least squares (RLS) algorithm and wavelet transform (WT) algorithm. The study was conducted on clinical practice data (extended ADFECGDB database and Physionet Challenge 2013 database) from the perspective of non-invasive fetal heart rate variability monitoring based on the determination of the overall probability of correct detection (ACC), sensitivity (SE), positive predictive value (PPV) and harmonic mean between SE and PPV (F1). System functionality was verified against a relevant reference obtained by an invasive way using a scalp electrode (ADFECGDB database), or relevant reference obtained by annotations (Physionet Challenge 2013 database). The study showed that ICA-RLS-WT hybrid system achieve better results than ICA-ANFIS-WT. During experiment on ADFECGDB database, the ICA-RLS-WT hybrid system reached ACC > 80 % on 9 recordings out of 12 and the ICA-ANFIS-WT hybrid system reached ACC > 80 % only on 6 recordings out of 12. During experiment on Physionet Challenge 2013 database the ICA-RLS-WT hybrid system reached ACC > 80 % on 13 recordings out of 25 and the ICA-ANFIS-WT hybrid system reached ACC > 80 % only on 7 recordings out of 25. Both hybrid systems achieve provably better results than the individual algorithms tested in previous studies.Web of Science713178413175

Transformation from 12-lead ECG to VCG

Import 22/07/2015Tato práce se zabývá transformacemi elektrokardiografických svodů (EKG) do svodů vektorkardiografických (VKG). VKG dosahuje lepší senzitivity například pro detekci infarktu myokardu, ischemie a hypertrofie. Avšak v běžné klinické praxi se nepoužívá protože, vyžaduje umístění dalších elektrod na tělo pacienta. K získání VKG se nejčastěji využívá matematických transformací z 12 – svodového EKG. V rámci této práce jsou realizovány a hodnoceny kvazi ortogonální metoda popsána Korsem, inverzní Dowerova metoda, Korsova regresní metoda a metody odvozené lineární regresí pro P vlnu (PLSV) a QRS komplex (QLSV). V rámci této práce byly realizovány dva programy. Jeden program obsahuje grafické uživatelské rozhraní (GUI) a slouží pro prohlížení originálních a transformovaných svodů. Druhý program slouží k porovnání jednotlivých metod a statistickou analýzu. Metody byly porovnány pro data z databáze PTB a jejich přesnost byla hodnocena na základě střední kvadratické chyby (MSE) a korelačního koeficientu (R) mezi transformovaným signálem a přímo měřenými Frankovy svody. Na základě statistických testů vyplývá, že Korsova regresní metoda je statisticky významně lepší pro transformaci svodu X a Y než ostatní metody. Pro svod Z nejsou mezi Korsovou regresní metodou a metodami QLSV a PLSV rozdíly mediánů statisticky významné.This thesis deals with transformations from electrocardiographic (ECG) to vectorcardiographic (VCG) leads. VCG provides a better sensitivity for example for detection of the myocardial infarction, ischemia and hypertrophy. But in the clinical practice, measurement of the VCG is not usually used because it requires additional electrodes placed on patient‘s body. Instead, mathematical transformations are used for deriving VCG from 12-leads ECG. In this work, quasi-orthogonal method by Kors, inverse Dower method, Kors regression-based method and linear regression-based methods for deriving P wave (PLSV) and QRS complex (QLSV) are implemented and compared. Two programs were created in this work. The first program includes graphical user interface and can be used for viewing original and derived VCG records. The second one is used for comparison of the individual transformations and statistical analysis. Transformation methods were compared for the data from the PTB database and their accuracy were evaluated by Mean Squared Error (MSE) and correlation coefficient (R) between derived and directly measured Frank leads. Based on the statistical analysis, the Kors regression-based method is significantly more precise for derivation of the X and Y leads than the others. For lead Z there are not statistically significant differences in medians betwen the Kors regression-based method and other regression-based methods.450 - Katedra kybernetiky a biomedicínského inženýrstvívýborn

Non-Adaptive Methods of Fetal ECG Signal Processing

Tato diplomová práce se zabývá neadaptivními metodami zpracování břišního (abdominálního) plodového (fetálního) elektrokardiogramu (fEKG). Abdominální elektrokardiogram (aEKG) je tvořen směsí mateřského elektrokardiogramu (mEKG) a fEKG. Měřené fEKG je nositelem užitečných informací o stavu plodu, tj. plodová srdeční frekvence (fHR), morfologické informace a podobně. Nejprve se práce věnuje rozsáhlé rešerši zabývající se neadaptivními metodami extrakce fEKG a dále je vytvořen návrh popisující algoritmy zvolených metod. Primárně se tato práce zaměřuje na analýzu nezávislých komponent (ICA) a analýzu hlavních komponent (PCA). V této práci byla realizována softwarová aplikace pro verifikaci přesnosti extrahování fEKG. Funkčnost navrženého systému je otestována na syntetických i reálných datech z klinické praxe. Hodnocení kvality filtrace je provedena na základě stanovení tepové frekvence plodu (fHR) a odstupu signálu od šumu (SNR).This thesis deals with non-adaptive methods of processing abdominal fetal electrocardiogram (fECG). Abdominal electrocardiogram (aECG) is composed of a mixture of maternal electrocardiogram (mECG) and fECG. Measured fECG is a carrier of useful information about fetus, i.e. fetal heart rate (fHR), morphological information, etc. First part of this thesis is dedicated to a complex overview dealing with non-adaptive methods of extraction fECG and further developed a proposal describing algorithms of chosen methods. This work focuses primarily on independent component analysis (ICA) and principal component analysis (PCA). A software application was implement for verification of accuracy extraction fECG in this work. The functionality of the proposed system is tested on synthetic and real data from clinical practice. Evaluation of quality of filtration is performed based on the determination of fetal heart rate (fHR) and signal to noise ratio (SNR).450 - Katedra kybernetiky a biomedicínského inženýrstvívýborn

Hybrid Methods for Processing of Fetal Electrocardiogram

Tato doktorská disertační práce se zaměřuje na návrh, realizaci a následnou verifikaci nového typu hybridního extrakčního systému pro zpracování neinvazivního plodového elektrokardiogramu (NI-fEKG). Navržený systém sdružuje výhody jednotlivých adaptivních a neadaptivních metod. Tato práce ověřuje dva inovativní hybridní systémy s názvem ICA-ANFIS-WT a ICA-RLS-WT. Jedná se o kombinaci analýzy nezávislých komponent (ICA), adaptivního neuro-fuzzy inferenčního systému (ANFIS) nebo algoritmu založeném na rekurzivní optimální adaptaci (RLS) a vlnkové transformace (WT). Studie byla realizována na datech z klinické praxe (rozšířená databáze abdominálního a přímého fetálního elektrokardiogramu (ADFECGDB) a databáze EKG physionet challenge 2013) z pohledu neinvazivního monitorování fetální tepové frekvence (fHR) na základě stanovení celkové pravděpodobnosti správné detekce (ACC), senzitivity (SE), pozitivní prediktivní hodnoty (PPV) a harmonického průměru mezi SE a PPV (F1). Funkcionalita systému byla verifikována vůči relevantní referenci dané anotacemi. Tato práce ukázala, že hybridní systém ICA-RLS-WT dosáhl lepších výsledků než ICA-ANFIS-WT. Při experimentu na záznamech z databáze ADFECGDB dosáhla hybridní metoda ICA-RLS-WT hodnoty ACC > 80 % u 10 z 12 záznamů a hybridní metoda ICA-ANFIS-WT hodnoty ACC > 80 % pouze u 6 z 12 záznamů. Při experimentu na záznamech z databáze EKG physionet challenge 2013 dosáhla hybridní metoda ICA-RLS-WT hodnoty ACC > 80 % u 13 z 25 záznamů a hybridní metoda ICA-ANFIS-WT hodnoty ACC > 80 % pouze u 7 z 25 záznamů. Oba navržené hybridní systémy dosáhly prokazatelně lepších výsledků než jednotlivé metody v předchozích studiích.This dissertation focuses on the design, implementation and subsequent verification of a new type of hybrid extraction system for noninvasive fetal electrocardiogram (NI-fECG) processing. The designed system combines the advantages of individual adaptive and non-adaptive methods. This thesis reviews two innovative hybrid systems called ICA-ANFIS-WT and ICA-RLS-WT. This is a combination of independent component analysis (ICA), adaptive neuro-fuzzy inference system (ANFIS) or recursive least squares (RLS) algorithm and wavelet transform (WT). The study was conducted on clinical practice data (extended abdominal and direct fetal electrocardiogram database (ADFECGDB) and Physionet Challenge 2013 database) from the perspective of non-invasive fetal heart rate (fHR) monitoring based on the determination of the overall probability of correct detection (ACC), sensitivity (SE), positive predictive value (PPV) and harmonic mean between SE and PPV (F1). System functionality was verified against a relevant reference obtained by annotations. The study showed that ICA-RLS-WT hybrid system achieve better results than ICA-ANFIS-WT. During experiment on ADFECGDB database, the ICA-RLS-WT hybrid system reached ACC > 80 % on 10 recordings out of 12 and the ICA-ANFIS-WT hybrid system reached ACC > 80 % only on 6 recordings out of 12. During experiment on Physionet Challenge 2013 database the ICA-RLS-WT hybrid system reached ACC > 80 % on 13 recordings out of 25 and the ICA-ANFIS-WT hybrid system reached ACC > 80 % only on 7 recordings out of 25. Both hybrid systems achieve provably better results than the individual methods tested in previous studies.450 - Katedra kybernetiky a biomedicínského inženýrstvívyhově

Visible light communication system based on software defined radio: Performance study of intelligent transportation and indoor applications

In this paper, our first attempt at visible light communication system, based on software defined radio (SDR) and implemented in LabVIEW is introduced. This paper mainly focuses on two most commonly used types of LED lights, ceiling lights and LED car lamps/tail-lights. The primary focus of this study is to determine the basic parameters of real implementation of visible light communication (VLC) system, such as transmit speed, communication errors (bit-error ratio, error vector magnitude, energy per bit to noise power spectral density ratio) and highest reachable distance. This work focuses on testing various multistate quadrature amplitude modulation (M-QAM). We have used Skoda Octavia III tail-light and Phillips indoor ceiling light as transmitters and SI PIN Thorlabs photodetector as receiver. Testing method for each light was different. When testing ceiling light, we have focused on reachable distance for each M-QAM variant. On the other side, Octavia tail-light was tested in variable nature conditions (such as thermal turbulence, rain, fog) simulated in special testing box. This work will present our solution, measured parameters and possible weak spots, which will be adjusted in the future.Web of Science84art. no. 43

A comparative study of single-channel signal processing methods in fetal phonocardiography

Fetal phonocardiography is a non-invasive, completely passive and low-cost method based on sensing acoustic signals from the maternal abdomen. However, different types of interference are sensed along with the desired fetal phonocardiography. This study focuses on the comparison of fetal phonocardiography filtering using eight algorithms: Savitzky-Golay filter, finite impulse response filter, adaptive wavelet transform, maximal overlap discrete wavelet transform, variational mode decomposition, empirical mode decomposition, ensemble empirical mode decomposition, and complete ensemble empirical mode decomposition with adaptive noise. The effectiveness of those methods was tested on four types of interference (maternal sounds, movement artifacts, Gaussian noise, and ambient noise) and eleven combinations of these disturbances. The dataset was created using two synthetic records r01 and r02, where the record r02 was loaded with higher levels of interference than the record r01. The evaluation was performed using the objective parameters such as accuracy of the detection of S1 and S2 sounds, signal-to-noise ratio improvement, and mean error of heart interval measurement. According to all parameters, the best results were achieved using the complete ensemble empirical mode decomposition with adaptive noise method with average values of accuracy = 91.53% in the detection of S1 and accuracy = 68.89% in the detection of S2. The average value of signal-to-noise ratio improvement achieved by complete ensemble empirical mode decomposition with adaptive noise method was 9.75 dB and the average value of the mean error of heart interval measurement was 3.27 ms.Web of Science178art. no. e026988

Enhancements of SDR-based FPGA system for V2X-VLC communications

This pilot study focuses on a real measurements and enhancements of a software defined radio-based system for vehicle-to everything visible light communication (SDR-V2X-VLC). The presented system is based on a novel adaptive optimization of the feed-forward software defined equaliza-tion (FFSDE) methods of the least mean squares (LMS), normalized LMS (NLMS) and QR decomposition-based recursive least squares (QR-RLS) algorithms. Individual parameters of adaptive equalizations are adjusted in real-time to reach the best possible results. Experiments were carried out on a conventional LED Octavia III taillight drafted directly from production line and universal software radio peripherals (USRP) from National Instruments. The transmitting/receiving elements used multistate quadrature amplitude modulation (M-QAM) implemented in LabVIEW programming environment. Experimental results were verified based on bit error ratio (BER), error vector magnitude (EVM) and modulation error ratio (MER). Experimental results of the pilot study unambiguously confirmed the effectiveness of the pro-posed solution (longer effective communication range, higher immunity to interference, deployment of higher state QAM modulation formats, higher transmission speeds etc.), as the adaptive equalization significantly improved BER, MER and EVM parameters. The best results were achieved using the QR-RLS algorithm. The results measured on deployed QR-RLS algorithm had significantly better Eb/N0 (improved by approx. 20 dB) and BER values (difference by up to two orders of magnitude).Web of Science6833652362

Review of fundamental active current extraction techniques for SAPF

The field of advanced digital signal processing methods is one of the fastest developing scientific and technical disciplines, and is important in the field of Shunt Active Power Filter control methods. Shunt active power filters are highly desirable to minimize losses due to the increase in the number of nonlinear loads (deformed power). Currently, there is rapid development in new adaptive, non-adaptive, and especially hybrid methods of digital signal processing. Nowadays, modern methods of digital signal processing maintain a key role in research and industrial applications. Many of the best practices that have been used to control shunt active power in industrial practice for decades are now being surpassed in favor of new progressive approaches. This systematic research review classifies the importance of using advanced signal processing methods in the field of shunt active power filter control methods and summarizes the extant harmonic extraction methods, from the conventional approach to new progressive methods using genetic algorithms, artificial intelligence, and machine learning. Synchronization techniques are described and compared as well.Web of Science2220art. no. 798