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Real-time seizure prediction informed by hidden markov model event states
专利权人:
发明人:
Steven N. Baldassano,Brian Litt,Drausin Wulsin,Emily Fox
申请号:
US15333360
公开号:
US10245431B2
申请日:
2016.25.10
申请国别(地区):
US
年份:
2019
代理人:
摘要:
Provided is an implantable medical device for predicting and treating electrical disturbances in tissue. The medical device includes an implantable telemetry unit (ITU), and an implantable leads assembly including a first and a second electrode implanted in the tissue. A processor of the ITU is configured to perform training by receiving electrical signals input to the electrode circuit, parsing the electrical signals into dynamic event states using Bayesian Non-Parametric Markov Switching, and modeling each event state as a multi-dimensional probability distribution. The processor of the ITU is further configured to perform analysis of the electrical signals and therapy to the tissue by applying other electrical signals to the multi-dimensional distribution to predict future electrical disturbances in the tissue, and controlling the electrode circuit to apply an electrical therapy signal to the first and second electrodes to mitigate effects of the future electrical disturbances in the tissue.
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中国工程科技知识中心
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