Removal of high frequency noise from ECG signal using digital IIR butterworth filter

Gaikwad, Kaustubh; Chavan, Mahesh S.

doi:10.1109/gcwcn.2014.7030861

Cited by 35 publications

(15 citation statements)

References 13 publications

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“…6 Operation of the second algorithm in direct realisation method. We supposed that the value of the two coefficients h [3] and h [4] are near each other, so we used h[new] instead of using h [3] and h [4]. In this work, we thrifted a multiplier block.…”

Section: First Algorithm Hardware Simplification By Setting a Coefficmentioning

confidence: 99%

“…In this work, we thrifted a multiplier block. Note that the similarity between h [3] and h [4] is just a simple assumption to explain how this method works. In fact, finding multipliers with similar coefficients is essential in this algorithm…”

Section: First Algorithm Hardware Simplification By Setting a Coefficmentioning

confidence: 99%

“…For each noise, depending on the frequency of its occurrence, researchers have to design a specific filter. For example in [4] the removal of high‐frequency noise is the target or in [5] the removal of baseline noise is the purpose, or in [6] generally denoising ECG signal using empirical mode decomposition and moving average filter is considered. However, one of the most major noises which pollutes the ECG signal is the PLI defined in Section 2.…”

Section: Introductionmentioning

confidence: 99%

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Introducing new algorithms for realising an FIR filter with less hardware in order to eliminate power line interference from the ECG signal

Meidani

Mashoufi

2016

IET signal process.

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Power line interference (PLI) corrupts biomedical recordings. A notch filter is one of the filters that has been suggested to suppress the fundamental PLI and its harmonics in electrocardiographic recordings. Using finite impulse response (FIR) filters are one of the interesting ways to filter this interference in order to receive a rather pure signal. The frequent use of FIR filters create a field which studies realising an FIR filter and its various methods, which directly deals with the amount of hardware of the filter. In this study, the authors introduce new algorithms to realise FIR filters using less amount of hardware. By authors' definition, the filter is a black box and the authors focus on the quality of the output signal rather than focusing on the quality of frequency response of the filter. The simulation results show that the proposed algorithms remarkably reduces the hardware complexity of the FIR filter for eliminating PLI from the electrocardiogram (ECG) signal.

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Section: First Algorithm Hardware Simplification By Setting a Coefficmentioning

confidence: 99%

Section: First Algorithm Hardware Simplification By Setting a Coefficmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Introducing new algorithms for realising an FIR filter with less hardware in order to eliminate power line interference from the ECG signal

Meidani

Mashoufi

2016

IET signal process.

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“…sEMG signals are collected by using the Delsys, a 16-channel, high-sampling rate(2000HZ), dry electrode sensor. The digital IIR butter-worth filter and IIR notch filter are usually used to filter out the high frequency noise and power frequency noise of the sEMG signal [5,6]. A great deal of research is devoted to the feature engineering of sEMG signals to explore a higher accuracy rate for action recognition [7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

A sEMG-based Hand Function Rehabilitation System for Stroke Patients

Zhao

et al. 2018

2018 3rd International Conference on Advanced Robotics and Mechatronics (ICARM)

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In hospital, most stroke patients' rehabilitation training is assisted by rehabilitation physicians. However, this rehabilitation way is expensive and the number of physician cannot meet the demand. Therefore, surface electromyography (sEMG) and machine learning algorithms are introduced into the rehabilitation system, which can reduce the work of physicians and meet the needs of patients. We collect the sEMG signals of patients by picture guidance. Due to the mislabeling caused by the time mismatch, we re-calibrated the labels by means of peak detection. A model fusion algorithm, called stacking, is leveraged to improve the accuracy and robustness of hand action recognition. Before training, we will assess the patient's condition. Different rehabilitation training strategies will be adopted to patients under different conditions so as to each patient can receive effective training. According to rehabilitation psychology, virtual reality games were introduced to enhance the interest and pleasure of patients in the training process. At the same time, it can stimulate the development of nerve in the motor system and enhance the activity of the motor cortex in the cerebral cortex.

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“…Целью настоящей работы является аналитический обзор современной научной литературы по тематике оценки состояния ССС на основе анализа электрокардиограммы (ЭКГ). Акцент на исследовании ЭКГ обусловлен ее признанной эффективностью в диагностике широкого спектра сердечнососудистых нарушений на основе анализа аритмий [6]. Для обсуждения предложен новый взгляд на способы и условия диагностики -собственное разрабатываемое решение авторов в предметной области.…”

Section: Introductionunclassified

Modern ECG-based systems for cardiovascular functioning express-evaluation

Подольский¹,

Строков²,

Кузнецов³

et al. 2016

Kardiovask. ter. profil.

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ООО "Кардио-патруль". Санкт-Петербург; 2 ФГАОУ ВО "Санкт-Петербургский государственный электротехнический университет "ЛЭТИ" им. В. И. Ульянова "Ленина". Санкт-Петербург, Россия Представлен аналитический обзор современной научной литературы по теме-оценка состояния сердечно-сосудистой системы человека на основе анализа электрокардиограммы (ЭКГ). В амбулаторных условиях используют типичные мониторы для снятия ЭКГ по Холтеру, портативные электрокардиографы, называемые также регистраторами событий, петлевые регистраторы и модифицированные на их основе телеметрические решения с длительностью регистрации от одного до двенадцати каналов ЭКГ в течение от 1 сут. до нескольких лет для имплантируемых сердечных мониторов. Концептуально предлагается новый способ автономной автоматической обработки ЭКГ на борту устройства со световой индикацией в режиме реального времени о состоянии основных показа-телей сердечно-сосудистой системы пользователя по принципу "светофора". Экспресс-оценка может подразумевать длительность процедуры от 2 до 5 мин. Ключевые слова: электрокардиограмма, экспресс-диагностика, телемедицина, холтеровское мониторирование, амбулаторное.

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Removal of high frequency noise from ECG signal using digital IIR butterworth filter

Cited by 35 publications

References 13 publications

Introducing new algorithms for realising an FIR filter with less hardware in order to eliminate power line interference from the ECG signal

Introducing new algorithms for realising an FIR filter with less hardware in order to eliminate power line interference from the ECG signal

A sEMG-based Hand Function Rehabilitation System for Stroke Patients

Modern ECG-based systems for cardiovascular functioning express-evaluation

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