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ECG_Processor

Low Power ECG Based Processor for Predicting Ventricular Arrhythmia

₹20,000.00

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Source : VHDL

Abstract:

This paper presents the design of a fully integrated electrocardiogram (ECG) signal processor (ESP) for the prediction of ventricular arrhythmia using a unique set of ECG features and a naive Bayes classifier. Real-time and adaptive techniques for the detection and the delineation of the P-QRS-T waves were investigated to extract the fiducial points. We are also detecting the all interval in the ECG signal and compare the stored record for Ventricular Arrhythmia with also energy/area architecture design. The proposed architecture of this paper analysis the logic size, area and power consumption using Xilinx 14.2.

List of the following  materials will be included with the Downloaded Backup:

1. Source code ( Modelsim/ Xilinx/ Quartus/ DSCH3/ Microwind)
2. Existing and Proposed Project Comparison
3. Architecture Diagram
4. Algorithm with Flow chart
5. Report for Phase1 and Phase2
6. Proposed abstract document
7. Reference materials
8. Literature survey with Reference Document
9. Online Support ( Team viewer/ Ammy Admin)



 

Proposed Title :

FPGA Implementation Low Power and High efficiency ECG Based Processor for Predicting Ventricular Arrhythmia

Improvement of this project :

  • The objective of this paper Predicting Ventricular Arrhythmia is find  and increases the number of interval  to compared the previous work, and increase the possibility of the Predicting Ventricular Arrhythmia. And also reduce the power consumption and area.

  • RR, PT, TP, QT, TQ, ST, TS, RP, PR, TR, RT, QR, RQ, SR, RS.

Software implementation:

  • Modelsim
  • Xilinx

 

” Thanks for Visit this project Pages – Buy It Soon “

Low Power ECG Based Processor for Predicting Ventricular Arrhythmia

 

 

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ECG_Processor Low Power ECG Based Processor ...

₹20,000.00

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