Quantitative Investigation of Digital Filters inElectrocardiogram with Simulated Noises

Khaing, Aung Soe; Naing, Zaw Min

doi:10.7763/ijiee.2011.v1.33

Cited by 11 publications

(10 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Figure 5 shows the complete ECG system idea developed in LabVIEW. The first part explains how the acquired data uses the data acquisition card (6008); in the next stage, it processes the retrieved data with Band Pass Filter, as well as a notch filter to eliminate the artifacts from the ECG signal [5], [6]. Additionally, the algorithm is implemented and developed for peak signal detection.…”

Section: Peak Detector and Threshold Detectormentioning

confidence: 99%

See 1 more Smart Citation

Heart Condition Telediagnosis via Bio-Signals Surveillance Workbench Based on Simple Mail Transfer Protocol Technique

Ahmad¹

2019

Journal of Southwest Jiaotong University

View full text Add to dashboard Cite

This article leads to the implementation and development of a Laboratory Virtual Instrument Engineering Workbench-based vital signs surveillance system for cardiovascular patients based on the Simple Mail Transfer Protocol technology. There are three main parts comprising the designed device, the first portion is a lap (circuit) built utilizing a hardware amplifier (AD620) called an electrocardiogram amplifier lap. Then comes the signal-conditioning lap with a practical amplifier (LM741). The second portion, is the signal conversion part from an analog signal to the digital signal using a data acquisition card. Moreover, cardiac data is processed and digital filtering techniques are performed to eliminate artifacts (noise) from the electrocardiogram signal acquired through the Laboratory Virtual Instrument Engineering Workbench system. Additionally, after preprocessing the cardiac signal the developed algorithm is utilized to calculate the heart-rate and analyze the heart condition (analyze the arrhythmia condition). In order to make the current labor more effective and attractive, Simple Mail Transfer Protocol technology has been added for remote diagnosis and monitoring purpose the state of the electrocardiogram signals easily over the internet, where the Simple Mail Transfer Protocol technology benefits is low-cost and effective in telediagnosis, which was previously a major problem overcome by this technique.

show abstract

Section: Peak Detector and Threshold Detectormentioning

confidence: 99%

“…Additionally, the algorithm is implemented and developed for peak signal detection. In order to compute the heart-rate and recognize the arrhythmia condition, the following formula (5) is utilized: (5) With 1 the first R wave is occurring and 2 the second R wave is occurring.…”

Section: Peak Detector and Threshold Detectormentioning

confidence: 99%

Heart Condition Telediagnosis via Bio-Signals Surveillance Workbench Based on Simple Mail Transfer Protocol Technique

Ahmad¹

2019

Journal of Southwest Jiaotong University

View full text Add to dashboard Cite

show abstract

“…After all, these results are verified with the normal values of standard measures of HRV. [11][12][13][14][15][16][17][18][19][20][21][22][23][24]…”

Section: Overview Of Heart Rate Variabilitymentioning

confidence: 99%

Analysis of heart rate variability based on quantitative approach

Tun¹

2018

MOJPB

View full text Add to dashboard Cite

Heart rate variability (HRV) is a measure of variations of heart rate between two successive heart beats and it is a relatively new method for assessing the effects of stress on our body. It is measured as the time gap between our heart beats that varies as we breathe in and out. Simple measures of the small changes in each beat of our heart can provide a wealth of information on the health of our heart and nervous system; such measures are called heart rate variability or HRV. It is usually calculated by analyzing the time series of beat-to-beat intervals from ECG signal. HRV is measured based on variation of time in milliseconds between two heartbeats also known as RR interval where R is a point corresponding to the peak of the QRS complex of the ECG wave, and RR is the interval between successive Rs. The evaluation of HRV can provide an indication of cardiovascular health. To accomplish this evaluation, the raw ECG signal is firstly de-noised by the application of DWT by automatically determining the optimal order of decomposition. After the purification, the wavelet filtering is used for R-peak detection since this method is efficient and accurate in the compute of the R peaks positions without changing of the shape or position of the original signal. Finally, the RR interval is analyzed because it consists in studying the HRV. The values of RR intervals are then plotted versus time, giving a curve called RR tachogram. After all, the Lomb-Scargleperiodogram of frequency-domain method (spectral analysis) is used to investigate the sympathovagal balance of HRV from RR tachogram. By using the Lomb-Scargleperiodogram for power spectral density estimation, we have no need to make de-trending and re-sampling. As a result, all signal shows as arrhythamia by comparing with the normal value of standard measurement. And then, the traditional time-domain method (statistical analysis) and spectral analysis of frequency-domain method are applied to analyze the variation of heart rate in arrhythmia database. The MATLAB programming is used to implement the algorithm for HRV analysis and MIT/BIH arrhythmia databases is used as data inputs. Citation: Tun HM, Naing ZM, Moe WK, et al. Analysis of heart rate variability based on quantitative approach. Citation: Tun HM, Naing ZM, Moe WK, et al. Analysis of heart rate variability based on quantitative approach. Citation: Tun HM, Naing ZM, Moe WK, et al. Analysis of heart rate variability based on quantitative approach. Citation: Tun HM, Naing ZM, Moe WK, et al. Analysis of heart rate variability based on quantitative approach. Citation: Tun HM, Naing ZM, Moe WK, et al. Analysis of heart rate variability based on quantitative approach.

show abstract

“…Figure 8 gives the idea about the complete ECG system developed in Labview. The first part shows how the data have been acquired using data acquisition card (6008); immediate in next step, the retrieved data has been processed by Band Pass Filter as well as notch filter to remove the artifacts from the signal [ 9 , 10 ]. Furthermore, the algorithm is developed to detect the peak of the signal.…”

Section: Designed Labview Interfacementioning

confidence: 99%

Labview Based ECG Patient Monitoring System for Cardiovascular Patient Using SMTP Technology

Singh

Mekonnen

Malarvili

2015

Journal of Medical Engineering

View full text Add to dashboard Cite

This paper leads to developing a Labview based ECG patient monitoring system for cardiovascular patient using Simple Mail Transfer Protocol technology. The designed device has been divided into three parts. First part is ECG amplifier circuit, built using instrumentation amplifier (AD620) followed by signal conditioning circuit with the operation amplifier (lm741). Secondly, the DAQ card is used to convert the analog signal into digital form for the further process. Furthermore, the data has been processed in Labview where the digital filter techniques have been implemented to remove the noise from the acquired signal. After processing, the algorithm was developed to calculate the heart rate and to analyze the arrhythmia condition. Finally, SMTP technology has been added in our work to make device more communicative and much more cost-effective solution in telemedicine technology which has been key-problem to realize the telediagnosis and monitoring of ECG signals. The technology also can be easily implemented over already existing Internet.

show abstract

Quantitative Investigation of Digital Filters inElectrocardiogram with Simulated Noises

Cited by 11 publications

References 8 publications

Heart Condition Telediagnosis via Bio-Signals Surveillance Workbench Based on Simple Mail Transfer Protocol Technique

Heart Condition Telediagnosis via Bio-Signals Surveillance Workbench Based on Simple Mail Transfer Protocol Technique

Analysis of heart rate variability based on quantitative approach

Labview Based ECG Patient Monitoring System for Cardiovascular Patient Using SMTP Technology

Contact Info

Product

Resources

About