• DocumentCode
    3562165
  • Title

    Design and optimization of an ECG / holter hybrid system for mobile systems based on DSPic

  • Author

    Minos Pineda-Lopez, Flavio ; Martinez-Fernandez, Andres ; Rojo-Alvarez, Jose Luis ; Blanco-Velasco, Manuel

  • Author_Institution
    Electr. & Electron. Dept., Univ. de las Fuerzas Armadas ESPE, Sangolquí, Ecuador
  • fYear
    2014
  • Firstpage
    453
  • Lastpage
    456
  • Abstract
    This paper presents the architecture of a portable system enabling the acquisition, processing, storage, and transmission in real-time, both as a 12-lead standard ECG and as long-term Holter. The prototype has been designed using a DSPic 33FJ256GP710 module, which allows an efficient local signal processing, potentially including morphological analysis and compression techniques. Our ECG data acquisition uses the new integrated circuit ADS1198 (low-power, 8-channel, 16-bit analog front-end for biopotential measurements), and is designed for memory management and local storage. The system is connected to a Smartphone through a Bluetooth module, which, on the one hand, allows to display and store the ECG signal in the Smartphone, and on the other hand, also displays and transmits he ECG signal for remote diagnosis and patient history storage. The preliminary analysis of the system was carried out with data taken from the Physionet dataset, in order to test its performance, in three different modalities. First, in the local mode, a recording time of over 120 hours has been achieved. Second, in the cellular mode, up to10 days of data could be stored in the phone. And third, in the remote server mode, practically unlimited time can be stored. For remote signal visualization, the average delay of the packets was less than 1.73ms, with a mean power consumption of 0.48 w/h, using a battery of 2 A/h (similar to a cellular phone one).
  • Keywords
    Bluetooth; bioelectric potentials; biomedical electronics; compressed sensing; data acquisition; electrocardiography; electronic health records; medical signal processing; optimisation; smart phones; telemedicine; 12-lead standard ECG; Bluetooth; DSPic 33FJ256GP710 module; ECG-Holter hybrid system; Physionet dataset; Smartphone; biopotential measurements; compression techniques; data acquisition; data processing; data storage; data transmission; electrocardiography; integrated circuit ADS1198; local signal processing; long-term Holter; low-power 8-channel 16-bit analog front-end; memory management; mobile systems; morphological analysis; optimization; patient history storage; portable system; remote diagnosis; remote server mode; remote signal visualization; Abstracts; Biology; Computer architecture; Electrocardiography; Lead; Microprocessors; Servers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing in Cardiology Conference (CinC), 2014
  • ISSN
    2325-8861
  • Print_ISBN
    978-1-4799-4346-3
  • Type

    conf

  • Filename
    7043077