Design of the HRV Analysis System Based on AD8232 Article Swipe

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Xiaoqiang Ji , Chunyu Ning , Chunhua Zhao , Xiaofeng Zhang ·

YOU? · · 2017 · Open Access · · DOI: https://doi.org/10.12783/dtetr/ismii2017/16676

In order to accurately collect ECG signals and analyze HRV, the HRV analysis system was designed in this paper. The system used high integration and single lead analog front-end AD8232 chip, which only need two electrodes to measure the body's ECG signals. Simultaneously, the system takes low power consumption microprocessor MSP430 as the main core to collect and process the ECG signals. Then the ECG signals can real-time transmit to the computer through the Bluetooth. In the upper computer we real-time display the ECG signals, and HRV time domain analysis, frequency domain analysis, nonlinear analysis and other functions are realized. The actual test results indicate that the ECG signals collected are accurate, stable, and less noise, and the time domain and frequency domain analysis results are accurate, reliable. The system is low power consumption, small size, which can realize the basic function of HRV analysis.

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Electronic Engineering

Computer Hardware

Engineering

Artificial Intelligence

Concepts

Time domain Bluetooth Microprocessor Frequency domain Computer science Analog front-end Real-time computing Power consumption Electronic engineering Nonlinear system Noise (video) Power (physics) Computer hardware Engineering Artificial intelligence Telecommunications Wireless Computer vision Physics Image (mathematics) CMOS Quantum mechanics

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Type: article
Language: en
Landing Page: https://doi.org/10.12783/dtetr/ismii2017/16676
PDF: http://dpi-proceedings.com/index.php/dtetr/article/download/16676/16182
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Cited By: 4
Related Works: 10
OpenAlex ID: https://openalex.org/W2773189846

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DOI: https://doi.org/10.12783/dtetr/ismii2017/16676

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Title: Design of the HRV Analysis System Based on AD8232

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Type: article

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Language: en

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Publication year: 2017

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Publication date: 2017-12-08

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Authors: Xiaoqiang Ji, Chunyu Ning, Chunhua Zhao, Xiaofeng Zhang

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Landing page: https://doi.org/10.12783/dtetr/ismii2017/16676

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Concepts: Time domain, Bluetooth, Microprocessor, Frequency domain, Computer science, Analog front-end, Real-time computing, Power consumption, Electronic engineering, Nonlinear system, Noise (video), Power (physics), Computer hardware, Engineering, Artificial intelligence, Telecommunications, Wireless, Computer vision, Physics, Image (mathematics), CMOS, Quantum mechanics

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Cited by: 4

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Citations by year (recent): 2025: 1, 2022: 1, 2020: 1, 2019: 1

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