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1.发明公开公开(公告)号：US20240316310A1
公开(公告)日：2024-09-26
申请号：US18608428
申请日：2024-03-18
申请人： University of Washington , SEATTLE CHILDREN'S HOSPITAL DBA SEATTLE CHILDREN'S RESEARCH INSTITUTE
发明人： Courtnie Paschall , Jeffrey Andrew Herron , Emmanuel Tanumihardja , Rajesh P.N. Rao , Jason Scott Hauptman , Jeffrey G. Ojemann
IPC分类号： A61M21/02
CPC分类号： A61M21/02 , A61M2205/04 , A61M2205/33 , A61M2210/0693 , A61M2230/63
摘要： An extended reality (XR) neural perceptual feedback (NPF) system includes an XR system and a neural interface. The XR system presents a virtual environment to the user and monitors the user's interactions with the virtual environment. Based on the interaction with the virtual environment, the neural interface applies stimulation to the nervous system of the user. For example, a stimulation pattern may be selected based on the type of interaction, what type of virtual object the interaction was with, or combinations thereof. The stimulation may cause a percept in the user, allowing them to have perceptual feedback from interacting with the virtual environment. The neural interface may also be used to direct interactions within the virtual environment, for example using neural signal decoding to determine how to update the virtual environment.
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2.发明申请公开(公告)号：US20220401736A1
公开(公告)日：2022-12-22
申请号：US17656156
申请日：2022-03-23
摘要： Embodiments of the disclosure are drawn to implantable stimulator with machine learning based classifier. An implantable system includes sensors which provide sensor information to an implantable unit. The implantable unit uses a classifier on the sensor information to select a stimulation procedure which is applied via a stimulation electrode. The classifier may be generated by a trained machine learning model. The classifier may be trained on an external unit which is not implanted in the subject. The classifier may be trained based on sensor information from the implanted sensors as well as symptom information.
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