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公开(公告)号：US11903744B2
公开(公告)日：2024-02-20
申请号：US18049116
申请日：2022-10-24
Applicant: Covidien LP
Inventor： Andre Antunes , Paul S. Addison , Dean Montgomery
CPC classification number: A61B5/7278 , A61B5/021 , A61B5/7203 , A61B5/7257
Abstract: In some examples, a method includes receiving a signal indicative of a blood pressure of a patient and identifying at least one first portion of the signal comprising a first characteristic of the signal exceeding a first threshold. The method also includes identifying at least one first portion of the signal comprising a second characteristic of the signal exceeding a second threshold, the first characteristic being different than the second characteristic. The method further includes determining a filtered signal indicative of the blood pressure of the patient by excluding the at least one first portion and the at least one second portion from the signal. The method includes determining a set of mean arterial pressure values based on the filtered signal and determining an autoregulation status of the patient based on the set of mean arterial pressure values.
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公开(公告)号：US11771376B2
公开(公告)日：2023-10-03
申请号：US17660572
申请日：2022-04-25
Applicant: Covidien LP
Inventor： Paul S. Addison , Dean Montgomery
IPC: A61N5/00 , A61B5/00 , A61B5/0205 , G16H20/30 , A61B5/1455 , A61B5/021 , A61B5/0295
CPC classification number: A61B5/7246 , A61B5/0205 , A61B5/7278 , A61B5/742 , G16H20/30 , A61B5/021 , A61B5/0295 , A61B5/14552
Abstract: In some examples, a device includes processing circuitry configured to determine a set of correlation coefficient values for first and second physiological parameters. The processing circuitry is further configured to determine a metric of the correlation coefficient values for a first plurality of bins and for a second plurality of bins, wherein each bin of the first plurality has a first bin parameter and each bin of the second plurality of bins has a second bin parameter different than the first bin parameter. The processing circuitry is also configured to determine a composite estimate of a limit of autoregulation of the patient based on the metric for the first plurality of bins and the metric for the second plurality of bins. The processing circuitry is configured to determine an autoregulation status based on the composite estimate and output, for display via the display, an indication of the autoregulation status.
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公开(公告)号：US11605282B2
公开(公告)日：2023-03-14
申请号：US16838989
申请日：2020-04-02
Applicant: Covidien LP
Inventor： Dean Montgomery , Paul S. Addison , Andre Antunes
IPC: G08B21/04 , A61B5/0205 , A61B5/1455 , A61B5/00 , G06N3/08 , G06N3/04 , G08B21/18 , A61B5/024
Abstract: Implementations described herein disclose a method of determining how well predictions of an impending hypoxia are reported in real-time, so that a user has higher confidence in the reported predictions. Specifically, the method of predicting oxygen level desaturation disclosed herein includes generating an input sequence of oxygen levels based on an input signal sequence, the input signals indicative of a physiological condition of a patient, generating an input feature sequence based on at least one of the input signal sequence and the input sequence of oxygen levels, generating, using a neural network, a predicted value sequence of the oxygen levels based on the input feature sequence, comparing the predicted value sequence of the oxygen levels with the input sequence of oxygen levels for a predetermined temporal window to generate a predicted sequence confidence value, and generating, in response to determining that the predicted sequence confidence value is above a threshold confidence value, an oxygen level desaturation prediction based on the predicted value sequence.
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4.发明申请公开(公告)号：US20230012742A1
公开(公告)日：2023-01-19
申请号：US17376701
申请日：2021-07-15
Applicant: Covidien LP
Inventor： Paul S. Addison , Dean Montgomery , Philip C. Smit
IPC: A61B5/00 , A61B5/1171 , A61B5/11 , A61B5/024 , A61B5/08
Abstract: Vision-based stimulus monitoring and response systems and methods are presented, wherein detection, via image(s) of a patient through an external stimulus, such as a caregiver, prompts analysis of the response of the patient, via secondary patient sensors or via analysis of patient image(s), to determine an autonomic nervous system (ANS) state.
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公开(公告)号：US11504072B2
公开(公告)日：2022-11-22
申请号：US16854089
申请日：2020-04-21
Applicant: Covidien LP
Inventor： Paul S. Addison , Philip Smit , André Antunes , Dean Montgomery
Abstract: Implementations described herein disclose a method of classifying oxygen level desaturation events. In one implementation, the method includes receiving input signal sequences, the input signals indicative of a physiological condition of a patient, generating an input sequence of oxygen saturation levels based on the input signal sequence, comparing the input sequence of oxygen saturation levels to a desaturation alarm threshold to determine a desaturation event, generating an input feature matrix based on at least one of the input signal sequences and the input sequence of oxygen saturation levels, and classifying based on the input feature matrix, using a neural network, the desaturation event being a severe desaturation event (SDE) or a non-severe desaturation event (non-SDE).
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Patent Agency Ranking
公开(公告)号：US20220249029A1
公开(公告)日：2022-08-11
申请号：US17660572
申请日：2022-04-25
Applicant: Covidien LP
Inventor： Paul S. Addison , Dean Montgomery
IPC: A61B5/00 , A61B5/0205 , G16H20/30
Abstract: In some examples, a device includes processing circuitry configured to determine a set of correlation coefficient values for first and second physiological parameters. The processing circuitry is further configured to determine a metric of the correlation coefficient values for a first plurality of bins and for a second plurality of bins, wherein each bin of the first plurality has a first bin parameter and each bin of the second plurality of bins has a second bin parameter different than the first bin parameter. The processing circuitry is also configured to determine a composite estimate of a limit of autoregulation of the patient based on the metric for the first plurality of bins and the metric for the second plurality of bins. The processing circuitry is configured to determine an autoregulation status based on the composite estimate and output, for display via the display, an indication of the autoregulation status.
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公开(公告)号：US20220031208A1
公开(公告)日：2022-02-03
申请号：US16942034
申请日：2020-07-29
Applicant: Covidien LP
Inventor： Dean Montgomery , Paul S. Addison
IPC: A61B5/1455 , G06N20/00 , A61B5/00 , G06N3/04
Abstract: The present technology relates to the field of medical monitoring systems. Systems, methods, and computer readable media are described. In some embodiments, a truth data set and a sensor data set are accessed. The truth data set is associated with a plurality of test data acquired through a series of tests. The sensor data set is associated with a plurality of sensor data acquired from a medical monitoring device. A machine learning network associated with a medical monitoring system is trained based on the truth data set and the sensor data set.
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公开(公告)号：US20210321951A1
公开(公告)日：2021-10-21
申请号：US16854177
申请日：2020-04-21
Applicant: Covidien LP
Inventor： Paul S. Addison , Dean Montgomery , André Antunes
Abstract: Implementations described herein disclose an artificial intelligence (AI) based method for generating an oxygen saturation level output signal using the trained neural network. In one implementation, the method includes receiving a photoplethysmographic (PPG) signal, the PPG signal including a red PPG signal and an infrared PPG signal, generating an input feature matrix by performing time-frequency transform of the PPG signal, training a neural network using the input feature matrix and an oxygen saturation level input signal, and generating an oxygen saturation level output signal using the trained neural network.
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公开(公告)号：US20200281537A1
公开(公告)日：2020-09-10
申请号：US16881609
申请日：2020-05-22
Applicant: Covidien LP
Inventor： Paul S. Addison , Dean Montgomery
IPC: A61B5/00 , A61B5/0205 , G16H20/30
Abstract: In some examples, a device includes processing circuitry configured to determine a set of correlation coefficient values for first and second physiological parameters. The processing circuitry is further configured to determine a metric of the correlation coefficient values for a first plurality of bins and for a second plurality of bins, wherein each bin of the first plurality has a first bin parameter and each bin of the second plurality of bins has a second bin parameter different than the first bin parameter. The processing circuitry is also configured to determine a composite estimate of a limit of autoregulation of the patient based on the metric for the first plurality of bins and the metric for the second plurality of bins. The processing circuitry is configured to determine an autoregulation status based on the composite estimate and output, for display via the display, an indication of the autoregulation status.
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公开(公告)号：US20200229773A1
公开(公告)日：2020-07-23
申请号：US16838673
申请日：2020-04-02
Applicant: Covidien LP
Inventor： Paul S. Addison , Dean Montgomery , Andre Antunes
Abstract: In some examples, a device includes a memory configured to store a first relationship between a blood pressure and another physiological parameter of a patient, the first relationship being indicative of cerebral autoregulation of the patient. The device also includes processing circuitry configured to receive first and second signals indicative of the blood pressure and the physiological parameter, respectively, of a patient. The processing circuitry is also configured to determine an expected value and an actual value of the physiological parameter at a particular blood pressure value of the first physiological signal. The processing circuitry is configured to determine, based on a difference between the actual value and the expected value, and store, in the memory, a second relationship between the blood pressure and the physiological parameter, the second relationship being indicative of a change in the cerebral autoregulation of the patient from the first relationship.
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