Title:
深層学習法などの技術を用いたてんかん発作の検出及び予測
Document Type and Number:
Japanese Patent JP7220008
Kind Code:
B2
Abstract:
One or both of epilepsy seizure detection and prediction at least by performing the following: running multiple input signals from sensors for epilepsy seizure detection through multiple classification models, and applying weights to outputs of each of the classification models to create a final classification output. The weights are adjusted to tune relative output contribution from each classifier model in order that accuracy of the final classification output is improved, while power consumption of all the classification models is reduced. One or both of epilepsy seizure detection and prediction are performed with the adjusted weights. Another method uses streams from sensors for epilepsy seizure detection to train and create the classification models, with fixed weights once trained. Information defining the classification models with fixed weights is communicated to wearable computer platforms for epilepsy seizure detection and prediction. The streams may be from multiple people and applied to an individual person.
Inventors:
Mashford, Benjamin, Scott
Chiral Cornek, Philiz, Isabel
Subradit, Roy
Tan, Jiang Bin
Haller, Stefan
Chiral Cornek, Philiz, Isabel
Subradit, Roy
Tan, Jiang Bin
Haller, Stefan
Application Number:
JP2020560252A
Publication Date:
February 09, 2023
Filing Date:
March 28, 2019
Export Citation:
Assignee:
INTERNATIONAL BUSINESS MACHINES CORPORATION
International Classes:
G06N20/20; A61B5/00; A61B10/00; G06Q10/04; G16H10/40
Domestic Patent References:
| JP2018505759A |
Foreign References:
| US20170308802 |
Attorney, Agent or Firm:
Tadashi Taneichi