Proceedings ArticleDOI
LABVIEW based expert system for detection of heart abnormalities
Saket Jain,Piyush Kumar,Monica Subashini M +2 more
- pp 1-5
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TLDR
The developed system predicts the heart abnormalities of a person, even before him/her consulting a doctor (preliminary investigation), the technique is user-friendly, low cost and hence anyone skeptic of heart problem can analyze his/her ECG using this efficient method.Abstract:
The proposed method deals with the study and analysis of ECG signal and thereafter the detection of heart abnormalities using LabVIEW Biomedical toolkit effectively. In the first phase, ECG signal is acquired which is then followed by filtering the raw ECG signal to remove unwanted noises. The next phase focuses on extracting the features from the acquired signal. Finally, different types of abnormalities particularly Sinus Bradycardia, Sinus Tachycardia, Supraventricular Tachycardia (SVT) Abnormal, Atrial Flutter and 1st degree AV Block are detected on the basis of features obtained. Thus the developed system predicts the heart abnormalities of a person, even before him/her consulting a doctor (preliminary investigation). The technique is user-friendly, low cost and hence anyone skeptic of heart problem can analyze his/her ECG using this efficient method.read more
Citations
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Journal ArticleDOI
Analysis of heart rate variability to understand the effect of cannabis consumption on Indian male paddy-field workers
TL;DR: Investigation of the alteration in the ANS activity of 200 Indian male volunteers due to the consumption of bhang using heart rate variability (HRV) analysis suggested a reduction in the variability of the heart rate, increased sympathetic dominance, and a corresponding reduce in the parasympathetic activity in the bhang consuming population, which may lead to various cardiovascular diseases.
Journal Article
Approach for design of early warning monitoring system for detection of the abnormal cardiac behaviour of any individual
Chinmay Ch,rakar,Monisha Sharma +2 more
TL;DR: The proposed method depends on series of data which is of ECG instead of number of information contained in the ECG signal, which is very suitable for detection of heart disease (e.g., arrhythmia) purposes.
Proceedings ArticleDOI
A real time approach for QRS detection of ECG signal using network intrusion detection technique
TL;DR: A novel method for detection of QRS complexes in ECG signals using Network Intrusion Detection technique used for detection in networking applications for finding the frequently repeated strings in a packet stream is proposed.
Proceedings ArticleDOI
Qualitative features selection techniques by profiling statistical features of ECG
TL;DR: In this paper, the authors proposed a unique method of profiling of statistical features for selection of qualitative features through ECG waveform, which can classify and differentiate abnormal heartbeats and normal (NORM).
Journal ArticleDOI
Comparing the HRV Time-Series Signals Acquired from Cannabis Consuming and Non-Consuming Indian Paddy-Field Workers by Recurrence Quantification Analysis
TL;DR: The RQA method is not as effective as the time and frequency domain methods for detecting the alterations in the HRV time-series signals due to cannabis consumption, and the SVM model was found to be the best model for the automated detection of cannabis takers.
References
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Journal ArticleDOI
Study and Analysis of ECG Signal Using MATLAB & LABVIEW as Effective Tools
TL;DR: The proper utilization of MATLAB functions (both built-in and user defined), toolbox and Simulink can lead to work with ECG signals for processing and analysis both in real time and by simulation with great accuracy and convenience.
Book
LabVIEW Digital Signal Processing: and Digital Communications
TL;DR: Part 1: Getting Started Chapter 1: Digital Communications and LabVIEW Chapter 2: Getting a Signal into LabVIEW Part 2: Building Blocks Chapter 3: Spectral Analysis Chapter 4: Digital Filters Chapter 5: Multirate Signal Processing in LabVIEW chapter 6: Generating Signals with LabVIEW
The Development of an Exercise Monitor Prototype for the Detection of Arrhythmia Using the Virtual Instrumentation Capabilities of Labview
TL;DR: The purpose of this project is to constru ct a basic pulse monitor that can detect and identify five types of basic arrhythmias and the completed monitor worked very satisfactorily.