Proposal of an integrated monitoring system for neonatal seizures based on informations of EEG, Video and Vital signs.

• Project/Area Number: 15K09737
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Embryonic/Neonatal medicine
• Research Institution: 独立行政法人国立病院機構岡山医療センター(臨床研究部)
• Principal Investigator: Takeuchi Akihito 独立行政法人国立病院機構岡山医療センター(臨床研究部), 独立行政法人国立病院機構 岡山医療センター(臨床研究部), 新生児科医師 (40731386)
• Co-Investigator(Kenkyū-buntansha): 曽 智 広島大学, 工学研究科, 助教 (80724351)
• Co-Investigator(Renkei-kenkyūsha): TSUJI Toshio 広島大学, 大学院工学研究科, 教授 (90179995) ; SHIMATANI Koji 県立広島大学, 保健福祉学部, 教授 (00433384) ; KOBAYASHI Katsuhiro 岡山大学, 大学院医歯薬学総合研究科, 教授 (60273984)
• Research Collaborator: NAKAMURA Makoto ; KAGEYAMA Misao ; HYODO Yuki
• Project Period (FY): 2015-04-01 – 2018-03-31
• Project Status: Completed (Fiscal Year 2017)
• Budget Amount: ¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000); Fiscal Year 2017: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000); Fiscal Year 2016: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000); Fiscal Year 2015: ¥3,120,000 (Direct Cost: ¥2,400,000、Indirect Cost: ¥720,000)
• Keywords: 新生児発作 / 動画像解析 / モニタリングシステム / 体表脈波センサ / てんかん発作自動識別 / 発作時脳波 / 発作自動判別 / 動画像

Outline of Final Research Achievements

At first, we analyzed neonatal seizures, however, it was difficult to extract of movement due to background images. Instead of neonatal seizures, we analyzed infantile seizures (epileptic spasms) as the second best. After feature extraction of video images of infantile seizure and analysis of electroencephalogram (EEG), we calculated 2 indices of limb movements (motion variation, correlation in the movement of 4 limbs) and 2 indices of EEG signals (variation of the EEG amplitude, amplitude of fast wave). To establish the seizure detection system, neural network was trained using these 4 indices. This system could detect infantile seizures with high (more than 90%) accuracy, sensitivity and specificity. We also tried to develop a non-invasive monitoring sensor. We could separate the respiration and heart beats signals from body surface pulse signals by signal processing. We established basic technology for development of a new seizure monitoring systems for infants.

Research Products

• [Journal Article] 痙攣 (2017)
  • Author(s): 竹内章人
  • Journal Title: ネオネイタルケア Volume: 30 Pages: 42-45
• [Presentation] A case of non-familial neonatal epilepsy with a novel de novo KCNQ2 mutation. (2018)
  • Author(s): Akihito Takeuchi, Yuko Yumoto, Makoto Nakamura, Misao Kageyama, Takushi Inoue, Hiroshi Shiraga, Hitoshi Osaka, Atsushi Ishii, Shinichi Hirose, Tomoyuki Akiyama, Katsuhiro Kobayashi.
  • Organizer: The 14th Asian and Oceanian Congress of Child Neurology (AOCCN).
  • Int'l Joint Research
• [Presentation] A neural network based infant monitoring system to facilitate diagnosis of epileptic seizures. (2015)
  • Author(s): Ogura Y, Hayashi H, Nakashima S, Zu Soh, Shibanoki T, Shimatani K, Takeuchi A, Nakamura M, Okumura A, Kurita Y, Tsuji T.
  • Organizer: The 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
  • Place of Presentation: Milan, Italy
  • Year and Date: 2015-08-25
  • Int'l Joint Research