A neural network based infant monitoring system to facilitate diagnosis of epileptic seizures

Yuya Ogura, Hideaki Hayashi, Shota Nakashima, Zu Soh, Taro Shibanoki, Koji Shimatani, Akihito Takeuchi, Makoto Nakamura, Akihisa Okumura, Yuichi Kurita, Toshio Tsuji

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

1 Citation (Scopus)

Abstract

In this paper, we propose an infant monitoring system that automatically detects epileptic seizures in domestic and hospital environments. The proposed system measures the movements and electroencephalogram (EEG) signals of an infant using a video camera and an electroencephalograph. Seizure features are then extracted from the video images and EEG signals, and the evaluation indices based on medical knowledge are calculated from the features. The system employs a probabilistic neural network for the automatic detection of seizures, thereby allowing the choice/combination of evaluation indices appropriate for the environment via network training. We tested the system in simulated domestic and hospital environments. The validity of the proposed system was reinforced by the results of comparisons with clinical diagnoses.

Original languageEnglish
Title of host publication2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5614-5617
Number of pages4
ISBN (Electronic)9781424492718
DOIs
Publication statusPublished - Nov 4 2015
Event37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 - Milan, Italy
Duration: Aug 25 2015Aug 29 2015

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volume2015-November
ISSN (Print)1557-170X

Other

Other37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
CountryItaly
CityMilan
Period8/25/158/29/15

Fingerprint

Electroencephalography
Epilepsy
Neural networks
Monitoring
Seizures
Video cameras

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

Cite this

Ogura, Y., Hayashi, H., Nakashima, S., Soh, Z., Shibanoki, T., Shimatani, K., ... Tsuji, T. (2015). A neural network based infant monitoring system to facilitate diagnosis of epileptic seizures. In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 (pp. 5614-5617). [7319665] (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; Vol. 2015-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2015.7319665

A neural network based infant monitoring system to facilitate diagnosis of epileptic seizures. / Ogura, Yuya; Hayashi, Hideaki; Nakashima, Shota; Soh, Zu; Shibanoki, Taro; Shimatani, Koji; Takeuchi, Akihito; Nakamura, Makoto; Okumura, Akihisa; Kurita, Yuichi; Tsuji, Toshio.

2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 5614-5617 7319665 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; Vol. 2015-November).

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

Ogura, Y, Hayashi, H, Nakashima, S, Soh, Z, Shibanoki, T, Shimatani, K, Takeuchi, A, Nakamura, M, Okumura, A, Kurita, Y & Tsuji, T 2015, A neural network based infant monitoring system to facilitate diagnosis of epileptic seizures. in 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015., 7319665, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, vol. 2015-November, Institute of Electrical and Electronics Engineers Inc., pp. 5614-5617, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015, Milan, Italy, 8/25/15. https://doi.org/10.1109/EMBC.2015.7319665
Ogura Y, Hayashi H, Nakashima S, Soh Z, Shibanoki T, Shimatani K et al. A neural network based infant monitoring system to facilitate diagnosis of epileptic seizures. In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 5614-5617. 7319665. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). https://doi.org/10.1109/EMBC.2015.7319665
Ogura, Yuya ; Hayashi, Hideaki ; Nakashima, Shota ; Soh, Zu ; Shibanoki, Taro ; Shimatani, Koji ; Takeuchi, Akihito ; Nakamura, Makoto ; Okumura, Akihisa ; Kurita, Yuichi ; Tsuji, Toshio. / A neural network based infant monitoring system to facilitate diagnosis of epileptic seizures. 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 5614-5617 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).
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