Invention Grant
- Patent Title: Automatic sensor trace validation using machine learning
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Application No.: US17905101Application Date: 2021-02-25
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Publication No.: US12124325B2Publication Date: 2024-10-22
- Inventor: Mark Edwards , Vivek Singh , Bogdan Georgescu , Ankur Kapoor
- Applicant: Siemens Healthcare Diagnostics Inc.
- Applicant Address: US NY Tarrytown
- Assignee: Siemens Healthcare Diagnostics Inc.
- Current Assignee: Siemens Healthcare Diagnostics Inc.
- Current Assignee Address: US NY Tarrytown
- International Application: PCT/US2021/019731 2021.02.25
- International Announcement: WO2021/173872A 2021.09.02
- Date entered country: 2022-08-26
- Main IPC: G06F11/07
- IPC: G06F11/07 ; G06N3/0455 ; G06N3/08

Abstract:
A computer-implemented method for detecting a failure of a device connected to a sensor is disclosed. The method includes a machine learning model receiving a trace signal from the sensor indicating a status of the device, the machine learning model encoding the trace signal into a plurality of vector representations, and the machine learning model determining whether the trace signal is valid or invalid based on the plurality of vector representations.
Public/Granted literature
- US20230091197A1 AUTOMATIC SENSOR TRACE VALIDATION USING MACHINE LEARNING Public/Granted day:2023-03-23
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