A novel method for the conversion of scanned electrocardiogram (ECG) image to digital signal

Macline Crecsilla Lewis, Manjunatha Maiya, Niranjana Sampathila

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Electrocardiogram (ECG) is the record of origin and propagation of electrical potential through cardiac muscles. It provides information about heart functioning. Generally, ECG is printed on thermal paper. The person having heart abnormalities will have to maintain all the records for the diagnosis purpose, which requires large storage space and is minimized by storing in the computer using scanner. The stored data is processed manually, which is time consuming. So an automatic algorithm that is developed does the conversion of the ECG image to digital signal. In order to convert the image, image processing methods like binarization, morphological techniques have been used. Usage of morphological skeletonization helps in converting the image to digital signal form by finding the skeleton of the ECG signal. The performance of the conversion algorithm is analyzed using root-mean-square error (RMSE), and it was found good. The average error found between the binarized image and the skeletonized image is nearly 7.5%.

Original languageEnglish
Title of host publicationInternational Conference on Intelligent Computing and Applications - ICICA 2016
PublisherSpringer Verlag
Pages363-373
Number of pages11
ISBN (Print)9789811055195
DOIs
Publication statusPublished - 01-01-2018
Event3rd International Conference on Intelligent Computing and Applications, ICICA 2016 - Akurdi, Pune, India
Duration: 21-12-201622-12-2016

Publication series

NameAdvances in Intelligent Systems and Computing
Volume632
ISSN (Print)2194-5357

Conference

Conference3rd International Conference on Intelligent Computing and Applications, ICICA 2016
CountryIndia
CityAkurdi, Pune
Period21-12-1622-12-16

Fingerprint

Electrocardiography
Mean square error
Muscle
Image processing

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Lewis, M. C., Maiya, M., & Sampathila, N. (2018). A novel method for the conversion of scanned electrocardiogram (ECG) image to digital signal. In International Conference on Intelligent Computing and Applications - ICICA 2016 (pp. 363-373). (Advances in Intelligent Systems and Computing; Vol. 632). Springer Verlag. https://doi.org/10.1007/978-981-10-5520-1_34
Lewis, Macline Crecsilla ; Maiya, Manjunatha ; Sampathila, Niranjana. / A novel method for the conversion of scanned electrocardiogram (ECG) image to digital signal. International Conference on Intelligent Computing and Applications - ICICA 2016. Springer Verlag, 2018. pp. 363-373 (Advances in Intelligent Systems and Computing).
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Lewis, MC, Maiya, M & Sampathila, N 2018, A novel method for the conversion of scanned electrocardiogram (ECG) image to digital signal. in International Conference on Intelligent Computing and Applications - ICICA 2016. Advances in Intelligent Systems and Computing, vol. 632, Springer Verlag, pp. 363-373, 3rd International Conference on Intelligent Computing and Applications, ICICA 2016, Akurdi, Pune, India, 21-12-16. https://doi.org/10.1007/978-981-10-5520-1_34

A novel method for the conversion of scanned electrocardiogram (ECG) image to digital signal. / Lewis, Macline Crecsilla; Maiya, Manjunatha; Sampathila, Niranjana.

International Conference on Intelligent Computing and Applications - ICICA 2016. Springer Verlag, 2018. p. 363-373 (Advances in Intelligent Systems and Computing; Vol. 632).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Lewis MC, Maiya M, Sampathila N. A novel method for the conversion of scanned electrocardiogram (ECG) image to digital signal. In International Conference on Intelligent Computing and Applications - ICICA 2016. Springer Verlag. 2018. p. 363-373. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-981-10-5520-1_34