Development of SVM based classification techniques for the delineation of wave components in 12-lead electrocardiogram

Mehta, S. S.; Lingayat, N. S.

doi:10.1016/j.bspc.2008.04.002

Cited by 36 publications

(17 citation statements)

References 27 publications

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“…The results obtained with the twelve channels are shown in Table 2. [5] 97.2 QRS detection system [6] 96.8…”

Section: Experiments and Resultsmentioning

confidence: 99%

“…are proposed for the detection of QRS complexes. Although these methods perform better than methods described in [1][2][3][4][5][6][7][8][9][10][11], yet there is still further scope of improvement of accuracy in QRS complex detection of ECG signals. Christov et al [16] gave a comparative study of morphological and time-frequency ECG descriptors for heartbeat classification.…”

Section: Introductionmentioning

confidence: 91%

“…Numerous QRS detection algorithms such as derivative based algorithms, algorithms based on digital filters [1,2], wavelet transform [3][4][5][6][7], heuristic methods [8,9] and statistical methods [10] are reported in literature. Murthy and Prasad analyzed ECG signals based on pole zero models [11].…”

Section: Introductionmentioning

confidence: 99%

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Field Programmable Gate Array Based Fuzzy Neural Signal Processing System for Differential Diagnosis of QRS Complex Tachycardia and Tachyarrhythmia in Noisy ECG Signals

Chowdhury

2010

J Med Syst

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The paper reports of a Field Programmable Gate Array (FPGA) based embedded system for detection of QRS complex in a noisy electrocardiogram (ECG) signal and thereafter differential diagnosis of tachycardia and tachyarrhythmia. The QRS complex has been detected after application of entropy measure of fuzziness to build a detection function of ECG signal, which has been previously filtered to remove power line interference and base line wander. Using the detected QRS complexes, differential diagnosis of tachycardia and tachyarrhythmia has been performed. The entire algorithm has been realized in hardware on an FPGA. Using the standard CSE ECG database, the algorithm performed highly effectively. The performance of the algorithm in respect of QRS detection with sensitivity (Se) of 99.74% and accuracy of 99.5% is achieved when tested using single channel ECG with entropy criteria. The performance of the QRS detection system has been compared and found to be better than most of the QRS detection systems available in literature. Using the system, 200 patients have been diagnosed with an accuracy of 98.5%.

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“…The results obtained with the twelve channels are shown in Table 2. [5] 97.2 QRS detection system [6] 96.8…”

Section: Experiments and Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 91%

See 1 more Smart Citation

Field Programmable Gate Array Based Fuzzy Neural Signal Processing System for Differential Diagnosis of QRS Complex Tachycardia and Tachyarrhythmia in Noisy ECG Signals

Chowdhury

2010

J Med Syst

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show abstract

“…are proposed for the detection of QRS complexes. Although these methods perform better than methods described in [1,3,5,6,[13][14][15][18][19][20], there is still further scope of improvement of accuracy in the detection of QRS complexes of ECG signals. Christov et al [4] gave a comparative study of morphological and time-frequency ECG descriptors for heartbeat classification.…”

Section: Introductionmentioning

confidence: 88%

“…Numerous QRS detection algorithms such as derivativebased algorithms, algorithms based on digital filters [5,19], wavelet transform [1,3,13,15,18], heuristic methods [6,20] and statistical methods [14] are reported in the literature. Murthy and Prasad analyzed ECG signals based on pole zero models [18].…”

Section: Introductionmentioning

confidence: 99%

High-resolution detection of sustained ventricular and supraventricular tachycardia through FPGA-based fuzzy processing of ECG signal

Chowdhury

2015

Med Biol Eng Comput

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The paper presents a field-programmable gate array (FPGA)-based fast processing system with 12-channel high-resolution (24 bits) front-end for ECG signal processing. The implemented high-resolution data conversion makes the system suitable for recording of late potentials of the QRS complex in patients prone to sustained ventricular tachycardia. The system accepts ECG signals through 12 channels and then filtered to minimize baseline wander and power-line interference. The filter outputs are connected to 12 delta-sigma ADCs. The whole ADCs work synchronously at 8 kHz sampling frequency, and their output data are transferred to an FPGA that computes online on the digitized sample values in real time and ascertains whether the patient under study suffers from ventricular tachycardia or not. In order to ascertain the QRS complex accurately in the noisy ECG signal, fuzzy entropy of the sample values has been computed and provided as an input to inverse multiquadratic radial basis function neural network. Using the standard CSE ECG database, the algorithm performed highly effectively. The performance of the algorithm in respect of QRS detection with sensitivity of 99.83 % and accuracy of 99.7 % is achieved when tested using single-channel ECG with entropy criteria. The performance of the QRS detection system has been compared and found to be better than most of the QRS detection systems available in the literature. Using the system, 200 patients have been diagnosed with an accuracy of 99 %.

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A Flexible and Stretchable 12‐Lead Electrocardiogram System with Individually Deformable Interconnects

Wan

Gao

Shang

et al. 2021

Adv Materials Technologies

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Holters may accommodate the demand of daily health monitoring of hearts. [14][15][16] But current ECG monitoring systems either contain small numbers of leads that are used as consumer electronics for diagnosing limited numbers of symptoms [17][18][19][20] or contains multiple rigid leads that are prone to the influence of motions and are unable to conduct dynamic measurement. [21,22] Flexible electronic systems have demonstrated their capabilities in adapting skin contour and skin motion, minimizing the issues of motion artifacts and mechanical mismatches between conventional rigid electronic materials and soft skin. They have been demonstrated as varieties of wearable sensing patches to record physical parameters such as temperature, [23,24] humidity, [25][26][27] blood pressure, [28][29][30] and strain [31,32] as well as chemicals such as ions, [33,34] glucose, [35,36] and blood oxygen. [37,38] Flexible ECG systems have also been explored in the context of stretchable electrodes, [39,40] novel conductive electrode materials, [40][41][42][43] capacitive sensing, [44,45] and flexible hybrid electronics. [46][47][48] However, the majority of these ECG systems are based on single lead detection with a small sensing area, lacking the capability to comprehensively probe the hearts from different angles and the compatibility with clinical standards that are built on 12-lead ECG. [49,50] Flexible 12-lead ECG systems may offer precise and comprehensive detection results that abide by the clinical requirements with excellent tolerance to body motion and skin contour. However, such systems have seldomly been reported due to the complexity in constructing flexible systems that cover large surface areas while maintaining high stability in motion and skin deformation. As a result, a flexible 12-lead system in integrating with skin and potential influence factors to the performance of this system has rarely been studied.Here, we developed a flexible 12-lead ECG system that can simultaneously conduct electrocardiogram sensing and threeaxis acceleration monitoring. The system that contains a flexible sensor formed by modularized components and a flexible wireless measurement circuit. The sensing components are screen-printed and assembled to cover almost the entire chest area with adjustable dimensions to adapt to different body shapes. The design of individual components in the sensor Dynamic multilead monitoring of cardiovascular health conditions is challenging due to the complexity of constructing a flexible system that covers large surface areas and synchronizes measurement results from different leads. A flexible 12-lead electrocardiography system that can simultaneously conduct electrocardiogram sensing and 3-axis acceleration monitoring is developed. The system is fabricated through a modularized printing process, resulting in individual modules that can be assembled reversibly through magnetic connectors. Different levels of stretchability and adjustable length of interconnect can accommodate different body statures a...

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Development of SVM based classification techniques for the delineation of wave components in 12-lead electrocardiogram

Cited by 36 publications

References 27 publications

Field Programmable Gate Array Based Fuzzy Neural Signal Processing System for Differential Diagnosis of QRS Complex Tachycardia and Tachyarrhythmia in Noisy ECG Signals

Field Programmable Gate Array Based Fuzzy Neural Signal Processing System for Differential Diagnosis of QRS Complex Tachycardia and Tachyarrhythmia in Noisy ECG Signals

High-resolution detection of sustained ventricular and supraventricular tachycardia through FPGA-based fuzzy processing of ECG signal

A Flexible and Stretchable 12‐Lead Electrocardiogram System with Individually Deformable Interconnects

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