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Paper-Recorded ECG Digitization Method with Automatic Reference Voltage Selection for Telemonitoring and Diagnosis.
Wang, Liang-Hung; Xie, Chao-Xin; Yang, Tao; Tan, Hong-Xin; Fan, Ming-Hui; Kuo, I-Chun; Lee, Zne-Jung; Chen, Tsung-Yi; Huang, Pao-Cheng; Chen, Shih-Lun; Abu, Patricia Angela R.
Afiliación
  • Wang LH; School of Advanced Manufacturing, Fuzhou University, Quanzhou 362200, China.
  • Xie CX; The Department of Microelectronics, College of Physics and Information Engineering, Fuzhou University, Fuzhou 350108, China.
  • Yang T; The Department of Microelectronics, College of Physics and Information Engineering, Fuzhou University, Fuzhou 350108, China.
  • Tan HX; The Department of Microelectronics, College of Physics and Information Engineering, Fuzhou University, Fuzhou 350108, China.
  • Fan MH; The Department of Microelectronics, College of Physics and Information Engineering, Fuzhou University, Fuzhou 350108, China.
  • Kuo IC; The Department of Microelectronics, College of Physics and Information Engineering, Fuzhou University, Fuzhou 350108, China.
  • Lee ZJ; College of Biological Science and Engineering, Fuzhou University, Fuzhou 350108, China.
  • Chen TY; School of Advanced Manufacturing, Fuzhou University, Quanzhou 362200, China.
  • Huang PC; Department of Electronic Engineering, Feng Chia University, Taichung 40724, Taiwan.
  • Chen SL; Department of Electronic Engineering, National Cheng Kung University, Tainan 70101, Taiwan.
  • Abu PAR; The Department of Electronic Engineering, Chung Yuan Christian University, Taoyuan 32023, Taiwan.
Diagnostics (Basel) ; 14(17)2024 Aug 29.
Article en En | MEDLINE | ID: mdl-39272695
ABSTRACT
In electrocardiograms (ECGs), multiple forms of encryption and preservation formats create difficulties for data sharing and retrospective disease analysis. Additionally, photography and storage using mobile devices are convenient, but the images acquired contain different noise interferences. To address this problem, a suite of novel methodologies was proposed for converting paper-recorded ECGs into digital data. Firstly, this study ingeniously removed gridlines by utilizing the Hue Saturation Value (HSV) spatial properties of ECGs. Moreover, this study introduced an innovative adaptive local thresholding method with high robustness for foreground-background separation. Subsequently, an algorithm for the automatic recognition of calibration square waves was proposed to ensure consistency in amplitude, rather than solely in shape, for digital signals. The original signal reconstruction algorithm was validated with the MIT-BIH and PTB databases by comparing the difference between the reconstructed and the original signals. Moreover, the mean of the Pearson correlation coefficient was 0.97 and 0.98, respectively, while the mean absolute errors were 0.324 and 0.241, respectively. The method proposed in this study converts paper-recorded ECGs into a digital format, enabling direct analysis using software. Automated techniques for acquiring and restoring ECG reference voltages enhance the reconstruction accuracy. This innovative approach facilitates data storage, medical communication, and remote ECG analysis, and minimizes errors in remote diagnosis.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Diagnostics (Basel) Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Diagnostics (Basel) Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza