Real-Time Cardio Monitoring and Characterization of Diseases Introducing Statistical and Spectrogram Analysis

Soumyendu Bhattacharjee, Subham Ghosh, B. Neogi
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引用次数: 1

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.
引入统计和频谱分析的实时心脏监测和疾病表征
本章提供了重要的理论和系统框架以及最新的实证研究,以开发具有分类器的自动心血管疾病诊断系统。本研究提出了一种准确的无创心血管疾病诊断系统模型。该模型的诊断系统支持卓越的机动性与连续的实时监测设施。这一监测系统将为心血管研究开辟一个新的方向。医生可以用这个设备远程监控几个心脏病患者。此外,在紧急情况下,他们可以远程为病人开适当的药。该系统还提供了通过准确预测特定类型的心血管疾病来提醒患者的功能。一个自动化的心血管疾病诊断系统的发展朝着主要目标。另一个目标是采用现代分类技术对心血管疾病进行高精度检测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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