Home ECG system: Signal processing and remote transmission
01 Nov 2009-pp 254-258
TL;DR: This paper describes the development and testing of a prototype home ECG (Electrocardiograph) system that obtains patient's ECG signal and processes it to determine related parameters using LabVIEW software.
Abstract: This paper describes the development and testing of a prototype home ECG (Electrocardiograph) system that obtains patient's ECG signal and processes it to determine related parameters using LabVIEW software. These parameters include heart rate, PR-interval, QT-interval, ST-interval, P-wave and T-wave durations. The recorded ECG signal and related parameters are transmitted over the Internet to the remote station. The developed system was tested using simulated ECG, web-based ECG, and physically acquired ECG.
Citations
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21 May 2015
TL;DR: A temporal feature extraction method for ECG feature extraction and detection of various heart conditions by extracting ECG features such as P, T wave, QRS complex, PR, QT, RR, ST intervals and ST segment deviations is presented.
Abstract: Diagnosis of cardiac conditions is greatly dependent on ECG analysis. The current trend is to automate analysis and diagnosis through adopting various signal processing techniques. This paper presents a temporal feature extraction method for ECG feature extraction and detection of various heart conditions. This is achieved by extracting ECG features such as P, T wave, QRS complex, PR, QT, RR, ST intervals and ST segment deviations. The real time ECG data used for this study has been obtained from the MIT-BIH arrhythmia and European ST-T databases. The cardiac arrhythmias that this algorithm can successfully detect are Sinus Tachycardia, Sinus Bradycardia, Premature Atrial Contraction (PAC) and First-Degree Atrioventricular block. Target application for the proposed simple temporal extraction can be portable device for ECG signal acquisition and diagnosis for telemedicine applications in rural areas and also for personal cardio-care.
21 citations
Additional excerpts
...These range from scanning ECG paper record and analysis [[3], photos of ECG recording by mobile phone and processing [14], prototype development and mobile application [3] [15] [16] [17] [18] [19] [20] [21]....
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TL;DR: A 12-lead ECG data acquisition system based on ADS1298, which has laid the foundation for the future high-accuracy portable ECG instrument, greatly compact the circuit and reduce the power cost, as well as implement the wireless transmission.
15 citations
01 Jan 2017
TL;DR: The proposed algorithm is implemented using NI LabVIEW Biomedical Workbench to perform signal processing that extracts features of ECG signal such as heart rate, QRS width, PR interval, QT interval and the RR interval which are then used to characterize both cardiovascular arrhythmia and normal sinus rhythms.
Abstract: Electrocardiogram (ECG) is a test that represents electrical activity of heart and plays an important role in monitoring the condition of the heart. The diagnosis of cardiac condition is greatly dependent upon ECG signals. This paper presents a method of feature extraction and characterization of ECG signals for normal sinus rhythm and three different types of cardiovascular arrhythmia, namely Slow Term Atrial Fibrillation, Paroxysmal Atrial Fibrillation and Supraventricular Tachycardia. The proposed algorithm is implemented using NI LabVIEW Biomedical Workbench to perform signal processing that extracts features of ECG signal such as heart rate, QRS width, PR interval, QT interval and the RR interval which are then used to characterize both cardiovascular arrhythmia and normal sinus rhythms. About Forty-five sets of data of ECG signals are used in this work for analysis and verification and satisfactory result is obtained.
10 citations
Cites background from "Home ECG system: Signal processing ..."
...Many researchers have come up with several designs and have developed various ambulatory ECG monitoring devices ranging from scanning ECG paper records to processing of ECG recordings from photos in mobile, FPGA based implementation of ECG Feature Extractor and Wearable feature extraction devices [10-17]....
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01 Nov 2017
TL;DR: The implementation of PBL in a medical instrumentation course that uses LabVIEW as the tool to carry out the assignment and a team of three students that presented a new approach in filtering Electrocardiogram (ECG) signals and minimize the interferences using LabVIEW are described.
Abstract: There are different views on Problem-based learning (PBL) especially on its advantages and limitations. However, the benefit of PBL method is recognized and widely accepted. This paper, describes the implementation of PBL in a medical instrumentation course that uses LabVIEW as the tool to carry out the assignment. It is useful to introduce LabVIEW as it is an effective toolthat can support the PBL progression. The participants were students enrolled in the final year of their Electronics (Instrumentation) undergraduate programme. Students were required to present their results upon completion at the end of week eleven of fourteen-week academic calendar. The PBL project example described in this paper is focusing on a team of three students that presented a new approach in filtering Electrocardiogram (ECG) signals and minimize the interferences using LabVIEW. The success of the Problem Based Learning method implemented in the medical instrumentation course is in the involvement of the students and in the quality of the clinical scenario.
3 citations
Cites background from "Home ECG system: Signal processing ..."
...Besides, it is necessary to further analyse after denoising and enlarging [5]....
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03 Jun 2011
TL;DR: This project is aimed at developing novel algorithms to estimate the risk of sudden cardiac death using ECG analysis and formulated a robust algorithm and a reliable solution for SCD detection, which will be extended towards predicting SCD with reasonable accuracy.
Abstract: The need for quick diagnosis of cardiac abnormalities cannot be underestimated Sudden cardiac death (SCD) is one such disease that needs immediate attention as it is fatal and is a leading cause of cardiovascular mortality Most of the cardiovascular aberrations are due to irregular heart rhythm resulting in abnormal PQRST values which can be traced from the patient's ECG ECG is a simple, non-invasive test that records the heart's electrical activity This is used to detect and locate the sources of severe heart problems such as SCD This project is aimed at developing novel algorithms to estimate the risk of sudden cardiac death using ECG analysis The developed algorithms improve the best results reported in other papers using different algorithms evaluated on the same database[1] ECG signals from MIT BIH database are used to validate the algorithm The proposed system integrates two separate modules: SCD detection and SCD prediction The preprocessing of ECG signals is done using Fast Fourier Transform (FFT) as the first step since the signals are subjected to various artifacts and noise Then the detection of the abnormalities is taken up The implementation is done using Lab VIEW which is a versatile graphical programming tool for real-time systems design simulation and virtual instrumentation After having formulated a robust algorithm and a reliable solution for SCD detection the work will be extended towards predicting SCD with reasonable accuracy
2 citations
References
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TL;DR: Prolongation of the PR interval is associated with increased risks of AF, pacemaker implantation, and all-cause mortality.
Abstract: Context Prolongation of the electrocardiographic PR interval, known as firstdegree atrioventricular block when the PR interval exceeds 200 milliseconds, is frequently encountered in clinical practice. Objective To determine the clinical significance of PR prolongation in ambulatory individuals. Design, Setting, and Participants Prospective, community-based cohort including 7575 individuals from the Framingham Heart Study (mean age, 47 years; 54% women) who underwent routine 12-lead electrocardiography. The study cohort underwent prospective follow-up through 2007 from baseline examinations in 19681974. Multivariable-adjusted Cox proportional hazards models were used to examine the associations of PR interval with the incidence of arrhythmic events and death. Main Outcome Measures Incident atrial fibrillation (AF), pacemaker implantation, and all-cause mortality. Results During follow-up, 481 participants developed AF, 124 required pacemaker implantation, and 1739 died. At the baseline examination, 124 individuals had PR intervals longer than 200 milliseconds. For those with PR intervals longer than 200 milliseconds compared with those with PR intervals of 200 milliseconds or shorter, incidence rates per 10000 person-years were 140 (95% confidence interval [CI], 95-208) vs 36 (95% CI, 32-39) for AF, 59 (95% CI, 40-87) vs 6 (95% CI, 5-7) for pacemaker implantation, and 334 (95% CI, 260-428) vs 129 (95% CI, 123-135) for all-cause mortality. Correspondingabsoluteriskincreaseswere1.04%(AF),0.53%(pacemakerimplantation),and2.05% (all-cause mortality) per year. In multivariable analyses, each 20-millisecond increment in PR was associated with an adjusted hazard ratio (HR) of 1.11 (95% CI, 1.02-1.22;P=.02) for AF, 1.22 (95% CI, 1.14-1.30; P.001) for pacemaker implantation, and 1.08 (95% CI, 1.02-1.13; P=.005) for all-cause mortality. Individuals with first-degree atrioventricular block had a 2-fold adjusted risk of AF (HR, 2.06; 95% CI, 1.36-3.12;P.001), 3-fold adjusted risk of pacemaker implantation (HR, 2.89; 95% CI, 1.83-4.57; P.001), and 1.4-fold adjusted risk of all-cause mortality (HR, 1.44, 95% CI, 1.09-1.91; P=.01). Conclusion Prolongation of the PR interval is associated with increased risks of AF, pacemaker implantation, and all-cause mortality.
507 citations
139 citations
"Home ECG system: Signal processing ..." refers background in this paper
...For example, any elongation in the PQ segment can indicate one of the heart block conditions which may require a surgical procedure [2]....
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22 Oct 2007
TL;DR: An integrated wireless CDMA-based ubiquitous healthcare monitoring system for disease and chronic management and better patient care in the hospital, home or travel environments with extended standalone simple electrocardiogram (ECG) diagnosis algorithm at cell phone.
Abstract: This paper describes the integrated wireless CDMA-based ubiquitous healthcare monitoring system for disease and chronic management and better patient care in the hospital, home or travel environments with extended standalone simple electrocardiogram (ECG) diagnosis algorithm at cell phone. This system utilizes a wireless dongles prototype as the intermediary devices to remotely monitor the physiological signs of patient's from a tiny wireless sensor to transmit directly to medical center monitoring/PDA wirelessly within 802.15.4 wireless LAN or using cell phone to relay the medical data through CDMA network when outside the coverage LAN. The external standalone ECG diagnosis was implemented to enable continuous monitoring and evaluation of the ECG signal locally before any medical data could be sent to the medical center.
84 citations
"Home ECG system: Signal processing ..." refers background in this paper
...Different types of home ECG monitoring systems have been reported [6] [7] [8] [9] [10] [11] ....
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TL;DR: In this article, the authors describe a PC-based electrocardiogram software program that, in real time, acquires, analyzes, and displays QT interval variability in each of the 8 independent channels that constitute the 12-lead conventional ECG, and analyzes and displays the QTV from QT-interval signals that are derived from multiple channels and from singular value decomposition.
55 citations
14 Oct 2008
TL;DR: The results show that the capture of ECG in an unsupervised home environment is achievable and an algorithm for automatically marking ECG recordings for sections of obvious artifact is described.
Abstract: We analyze the use of unsupervised ECG acquisition in the home environment. An algorithm for automatically marking ECG recordings for sections of obvious artifact is described. The algorithm was validated against a set of 150 records randomly chosen from a database of ECGs and manually annotated to identify sections of artifact. Using this algorithm 4751 single lead-I ECG recordings from 24 home-dwelling patients were examined. The ECGs were collected using a remote home monitoring system. The participant ages (N=24) ranged from 54–92 years and were suffering either chronic obstructive pulmonary disease and/or congestive heart failure. Percentages of amplifier saturation, high frequency artifact, low signal power and the maximum continuous section of useable ECG are quoted. 1344 records were found to contain no artifact, while 3506 records contained 10 seconds or more of uninterrupted ECG (including the 1344 with no artifact). The results show that in the majority of cases, the capture of ECG in an unsupervised home environment is achievable.
55 citations