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Real-Time Cardio Monitoring and Characterization of Diseases Introducing Statistical and Spectrogram Analysis
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Author(s): Soumyendu Bhattacharjee (Maulana Abul Kalam Azad University of Technology, India), Subham Ghosh (JIS College of Engineering, India)and Biswarup Neogi (JIS College of Engineering, India)
Copyright: 2019
Pages: 24
Source title:
Advanced Classification Techniques for Healthcare Analysis
Source Author(s)/Editor(s): Chinmay Chakraborty (Birla Institute of Technology Mesra, India)
DOI: 10.4018/978-1-5225-7796-6.ch009
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Abstract
This chapter provides significant theoretical and systematic frameworks and the latest empirical research towards the development of an automated cardiovascular disorder diagnostic system with the classifier. This research proposes an accurate non-invasive model of the cardiovascular diseases diagnostic system. This model of diagnostic system support superior mobility with continuous real-time monitoring facility. This monitoring system will uncover a new dimension towards cardiovascular research. A physician will able to monitor several heart patients remotely with this device. Also, they can prescribe proper medicine remotely to the patient in an emergency. The system also has a provision to alert the patient by predicting the specific type of cardiovascular disorder accurately. An automated cardiovascular disorder diagnostic system development focuses towards the prime objective. Another objective is the adoption of modern classification technique for detecting cardiovascular disorders with high accuracy.
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