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http://hdl.handle.net/10603/455060
Title: | Investigations on vlsi architectures for Ecg monitoring system |
Researcher: | Uma, A |
Guide(s): | Kalpana, P |
Keywords: | Engineering and Technology Engineering Engineering Electrical and Electronic VLSI ECG Wavelet Transform |
University: | Anna University |
Completed Date: | 2021 |
Abstract: | Advancement in IC technology leads to development of compact health care devices. A future wearable health monitoring system relies on high performance and smaller size detectors. There is an increase in the fatality rate of patients due to Cardiovascular Diseases (CVD), therefore many researches focus on detection methods and techniques for CVDs. Portable and wearable medical devices should support an early detection, diagnosis and treatment for CVD. Clinical study of heart related problems needs continuous monitoring. By continuous monitoring, visual analysis for a long period is tedious and probability of missing vital information in Electrocardiogram(ECG) is high. Therefore, a computer aided analysis which supports ECG monitoring system and also helps in diagnosis is used. Detection of heart diseases with help of Computer Aided Design (CAD) tools at early stage increases the life span of the patient. According to World Health Organization (WHO), technology growth in the study of cardiac problem related field has become nucleus and there is a high demand for health care biomedical devices. newlineECG a non-stationary signal and has irregularities at various time intervals. An ECG monitoring system consists of the following two modules: recording and analysing module. The recording module is used for signal acquisition and preprocessing. A preprocessing is employed to remove unwanted noise from acquired signals and to enhance the detection accuracy of detectors. The analysis module is used for extracting important information from the ECG signal. Hence, in ECG detection methods, architectures focus on high detection accuracy with the aid of advancements in signal processing techniques. newline |
Pagination: | xxiii,181p. |
URI: | http://hdl.handle.net/10603/455060 |
Appears in Departments: | Faculty of Information and Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf | Attached File | 19.76 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 3.29 MB | Adobe PDF | View/Open | |
03_content.pdf | 1.59 MB | Adobe PDF | View/Open | |
04_abstract.pdf | 1.49 MB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 5.2 MB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 8.27 MB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 6.72 MB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 7.7 MB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 12.49 MB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 8.34 MB | Adobe PDF | View/Open | |
11_annexures.pdf | 4.25 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 2.16 MB | Adobe PDF | View/Open |
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