An Embedded System Based on Raspberry Pi for Effective Electrocardiogram Monitoring

被引:2
|
作者
Obeidat, Yusra M. [1 ]
Alqudah, Ali M. [2 ]
机构
[1] Yarmouk Univ, Elect Engn Dept, POB 21163, Irbid 21163, Jordan
[2] Yarmouk Univ, Biomed Engn Dept, POB 21163, Irbid 21163, Jordan
来源
APPLIED SCIENCES-BASEL | 2023年 / 13卷 / 14期
关键词
electrocardiogram; heart disease; embedded system; heart rate; Raspberry Pi;
D O I
10.3390/app13148273
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
In recent years, there has been a growing demand for affordable and user-friendly medical diagnostic devices due to the rise in global diseases. This study focuses on the development of an embedded system based on Raspberry Pi that enables faster and more efficient monitoring of electrocardiogram (ECG). The incorporation of Raspberry Pi allows for both wireless and wired interfaces, facilitating the creation of an ECG diagnostic embedded system capable of real-time detection and immediate response to any abnormalities in heart functionality. The system presented in this research encompasses a comprehensive electronic circuit comprising analog and digital components to measure and display the ECG signal. Within the analog section, the circuit performs essential signal conditioning tasks, such as signal amplification and noise filtering, ensuring a clean signal within the desired frequency range. The entire system is powered using a power bank. The digital segment incorporates an analog-to-digital converter necessary for converting the received analog signal into a digital format compatible with Raspberry Pi. A graphical liquid-crystal display is utilized to display the measured signal. The device successfully measures ECG signals at various heart rates, capturing all crucial peaks that can be used as indicators of an individual's health condition. By comparing the signals obtained from healthy individuals with those exhibiting heart arrhythmias, valuable insights can be gained regarding their health status. The proposed system aims to be portable, cost-effective, and user-friendly in different environments.
引用
收藏
页数:16
相关论文
共 50 条
  • [1] Development of Industrial Monitoring System Based on Embedded HTTP Host Using Raspberry Pi
    Bhuvaneswari, S.
    Raghuraman, R.
    Thandapani, T.
    Sivabalan, A.
    BIOSCIENCE BIOTECHNOLOGY RESEARCH COMMUNICATIONS, 2020, 13 (03): : 157 - 161
  • [2] Embedded Target Detection System Based on Raspberry Pi System
    Gamal, Bahaa Eldin
    Ouda, Ahmed Nasr
    Elhalwagy, Yehia Zakaria
    Elnashar, Gamal Ahmed
    ICENCO 2016 - 2016 12TH INTERNATIONAL COMPUTER ENGINEERING CONFERENCE (ICENCO) - BOUNDLESS SMART SOCIETIES, 2016, : 154 - 157
  • [3] Raspberry Pi based complete embedded system for iris recognition
    Kunik, Zuzanna
    Bykowski, Adam
    Marciniak, Tomasz
    Dabrowski, Adam
    2017 SIGNAL PROCESSING: ALGORITHMS, ARCHITECTURES, ARRANGEMENTS, AND APPLICATIONS (SPA 2017), 2017, : 263 - 268
  • [4] Raspberry-Pi based system for propofol monitoring
    Stradolini, Francesca
    Tuoheti, Abuduwaili
    Kilic, Tugba
    Demarchi, Danilo
    Carrara, Sandro
    INTEGRATION-THE VLSI JOURNAL, 2018, 63 : 213 - 219
  • [5] Embedded System Based Raspberry Pi 4 for Text Detection and Recognition
    Alanazi, Turki M.
    INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2023, 36 (03): : 3343 - 3354
  • [6] Advanced Vehicle Monitoring and Tracking System based on Raspberry Pi
    Shinde, Prashant A.
    Mane, Y. B.
    PROCEEDINGS OF 2015 IEEE 9TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS AND CONTROL (ISCO), 2015,
  • [7] Effective monitoring and protecting system for agriculture farming using IoT and raspberry pi
    Billa P.
    Venkatesh K.
    Venkata Sai J.
    Lohith K.
    Sampath Kumar A.
    Materials Today: Proceedings, 2023, 80 : 2917 - 2920
  • [8] AN IOT BASED PATIENT MONITORING SYSTEM USING RASPBERRY PI
    Kumar, R.
    Rajasekaran, M. Pallikonda
    2016 INTERNATIONAL CONFERENCE ON COMPUTING TECHNOLOGIES AND INTELLIGENT DATA ENGINEERING (ICCTIDE'16), 2016,
  • [9] Health monitoring system for elderly people based on Raspberry Pi
    Peng, Qingsong
    2023 2ND ASIA CONFERENCE ON ALGORITHMS, COMPUTING AND MACHINE LEARNING, CACML 2023, 2023, : 305 - 308
  • [10] Web based Environmental Monitoring System using Raspberry Pi
    Sunehra, Dhiraj
    Nikhila, J.
    2017 INTERNATIONAL CONFERENCE ON CURRENT TRENDS IN COMPUTER, ELECTRICAL, ELECTRONICS AND COMMUNICATION (CTCEEC), 2017, : 1074 - 1080