Depth of consciousness monitor

Inventors

Al-Ali, AmmarWeber, Walter M.Kashif, FaisalUsman, MohammadCHANDRASEKARAN, BALAJI

Assignees

Masimo Corp

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Publication Number

US-12383194-B2

Patent

Publication Date

2025-08-12

Expiration Date


Abstract

The present disclosure relates to physiological monitoring to determine the depth of consciousness of a patient under sedation. The monitor includes an EEG sensor and a depth of consciousness monitor. The depth of consciousness monitor can utilize treatment data, such as patient data and/or drug profile information with an EEG signal to determine whether the patient is adequately sedated.

Core Innovation

The invention provides a depth of consciousness monitor configured to determine a level of sedation of a medical patient using an EEG signal from an EEG sensor. The monitor includes an EEG interface configured to receive the EEG signal and an EEG front end configured to pre-process the EEG signal, wherein the EEG signal is assigned a first time stamp. The processor determines the level of sedation based at least upon the pre-processed EEG signal and outputs a patient sedation index corresponding to an estimated level of sedation.

The processor comprises two or more parallel computing engines that simultaneously compute possible sedation levels using the same first time stamped pre-processed EEG signal according to different processing approaches. A decision logic module arbitrates between the possible sedation level computations on the same first time stamped pre-processed EEG signal. The arbitration comprises selecting a subset of possible sedation levels generated by the two or more parallel compute engines and is based at least on data associated with at least one sedation drug acting on the medical patient.

The disclosed architecture supports a sedation drug-aware interpretation of EEG-based computations with multi-engine arbitration to form a patient sedation index. The monitor further includes a data port configured to transmit the level of sedation of the medical patient, and the system is described as including interfaces between an EEG monitor and, optionally, a drug delivery device for caregiver and/or drug-delivery interfaces.

Claims Coverage

The independent claim is clm-00001. It covers a time-stamped, pre-processed EEG signal feeding parallel computing engines to compute possible sedation levels, with drug-aware arbitration to determine a patient sedation index, which is transmitted via a data port.

Time-stamped EEG pre-processing for sedation estimation

An EEG interface receives an EEG signal from an EEG sensor; an EEG front end pre-processes the EEG signal and assigns a first time stamp to the EEG signal.

Parallel computation of possible sedation levels from the same time-stamped EEG

Two or more parallel computing engines receive the same first time stamped pre-processed EEG signal and simultaneously calculate possible sedation levels according to different processing approaches.

Drug-aware arbitration to select possible sedation levels

A decision logic module arbitrates the possible sedation level computations by selecting a subset of possible sedation levels generated by the two or more parallel compute engines, wherein arbitration is based at least on data associated with at least one sedation drug acting on the medical patient.

Patient sedation index output based on arbitration

Based on the arbitration, the decision logic module determines a patient sedation index corresponding to an estimated level of sedation of the medical patient.

Data port for transmitting the sedation level

A data port transmits the level of sedation of the medical patient.

Across the independent claim, sedation estimation is based on a time-stamped pre-processed EEG signal, processed in parallel to compute possible sedation levels, and then arbitrated using data associated with at least one sedation drug to select a subset and determine a patient sedation index for transmission via a data port.

Stated Advantages

Documented Applications

Not explicitly described in patent.

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