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公开(公告)号：US20210240853A1
公开(公告)日：2021-08-05
申请号：US17267523
申请日：2019-08-23
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Eric Thomas Carlson , Mohammad Shahed Sorower , Sreramkumar Sitaraman Viswanathan , Sreekanth Manakkaparambil Sivanandan , Anshul Jain , Sunil Ranjan Khuntia , Ze He
Abstract: The present disclosure is directed to methods and apparatus for centralized de-identification of protected data associated with subjects. In various embodiments, de-identified data may be received (1102) that includes de-identified data set(s) associated with subject(s) that is generated from raw data set(s) associated with the subjects. Each of the raw data set(s) may include identifying feature(s) that are usable to identify the respective subject. At least some of the identifying feature(s) may be absent from or obfuscated in the de-identified data. Labels associated with each of the de-identified data sets may be determined (1104). At least some of the de-identified data sets may be applied (1108) as input across a trained machine learning model to generate respective outputs, which may be compared (1110) to the labels to determine a measure of vulnerability of the de-identified data to re-identification.
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公开(公告)号：US11361105B2
公开(公告)日：2022-06-14
申请号：US16544253
申请日：2019-08-19
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Eric Thomas Carlson
Abstract: Techniques disclosed herein relate to removing potentially identifying features of a specific subject from a data set to prevent re-identification of the subject using an external data source. In various embodiments, the data set contains, as potential identifying features of the specific subject, multiple bursts of temporally-proximate events. Time blocks within the data set can be identified to capture one or more of the bursts of temporally-proximate events for the specific subject. Adding random time shifts for each time block can add noise to the data set and remove or obfuscate the identifying features of a specific subject to generate a time shifted data set.
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公开(公告)号：US10531801B2
公开(公告)日：2020-01-14
申请号：US14913700
申请日：2014-08-20
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Limei Cheng , Eric Thomas Carlson , Srinivasan Vairavan , Minnan Xu
IPC: A61B5/04 , A61B5/024 , A61B5/0456 , A61B5/0472
Abstract: System (10) for extracting a fetal heart rate from at least one maternal signal using a computer processor (26). The system includes sensors (12-18) attached to a patient to receive abdominal ECG signals and a recorder and digitizer (20) to record and digitize each at least one maternal signal in a maternal signal buffer (22A-22D). The system further includes a peak detector (40) to identify candidate peaks in the maternal signal buffer. The signal stacker (42) of the system stacks the divides at least one maternal signal buffer into a plurality of snippets, each snippet including one candidate peak and a spatial filter (44) to identify and attenuate a maternal QRS signal in the plurality of snippets of the maternal signal buffer, the spatial filter including at least one of principal component analysis and orthogonal projection, to produce a raw fetal ECG signal which is stored in a raw fetal ECG buffer. The system further includes a fetal QRS identifier (46) for identifying peaks in the raw fetal ECG buffer by at least one of principal component analysis and a peak-detector followed by rule based fQRS extraction and a merger (48) to calculate and merge the fetal heart rate from the identified peaks.
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公开(公告)号：US11337616B2
公开(公告)日：2022-05-24
申请号：US16577425
申请日：2019-09-20
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Limei Cheng , Eric Thomas Carlson , Srinivasan Vairavan , Minnan Xu
IPC: A61B5/02 , A61B5/024 , A61B5/0255 , A61B5/00 , A61B5/316 , A61B5/344 , A61B5/352 , A61B5/366 , A61B5/327 , A61B5/364
Abstract: System (10) for extracting a fetal heart rate from at least one maternal signal using a computer processor (26). The system includes sensors (12-18) attached to a patient to receive abdominal ECG signals and a recorder and digitizer (20) to record and digitize each at least one maternal signal in a maternal signal buffer (22A-22D). The system further includes a peak detector (40) to identify candidate peaks in the maternal signal buffer. The signal stacker (42) of the system stacks the divides at least one maternal signal buffer into a plurality of snippets, each snippet including one candidate peak and a spatial filter (44) to identify and attenuate a maternal QRS signal in the plurality of snippets of the maternal signal buffer, the spatial filter including at least one of principal component analysis and orthogonal projection, to produce a raw fetal ECG signal which is stored in a raw fetal ECG buffer. The system further includes a fetal QRS identifier (46) for identifying peaks in the raw fetal ECG buffer by at least one of principal component analysis and a peak-detector followed by rule based fQRS extraction and a merger (48) to calculate and merge the fetal heart rate from the identified peaks.
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5.发明授权公开(公告)号：US10456087B2
公开(公告)日：2019-10-29
申请号：US15525201
申请日：2015-11-16
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Lin Yang , Eric Thomas Carlson , Larry James Eshelman
IPC: A61B5/00 , A61B5/0205 , A61B5/021 , A61B5/024 , A61B5/08 , A61B5/145 , G06F19/00 , G16H40/63 , G16H50/30
Abstract: The following relates generally to the medical monitoring arts, medical warning systems concerning a monitored patient, and so forth. In clinical settings, alarms are usually triggered when a single-parameter or a multi-parameter score exceeds certain thresholds. When a score needs to be determined, if certain parameters are not available, the common practice is to use the most recent measurements of the parameters for the score calculation. However, a patient's status may change from moment to moment. The parameters measured hours ago may not be a good indicator of the patient's current status. This uncertainty can put deteriorating patients at great risk. An embodiment uses statistical methods to estimate a range of scores and the probability of these scores if old measurements have to be used for score determination. Instead of giving a single number at a time, a confidence interval may be displayed to emphasize the fact that the score is determined partially based on old measurements. If there is a chance that the actual score is higher and may exceed a critical alarm threshold, a notification can be issued to advise a new measurement reading to improve score confidence.
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Patent Agency Ranking
公开(公告)号：US20190122750A1
公开(公告)日：2019-04-25
申请号：US16094543
申请日：2017-04-13
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Erina Ghosh , Eric Thomas Carlson , Oladijemi Feyisetan Farri
Abstract: Various embodiments described herein relate to methods and apparatuses for documenting data by tracking user interactions with an interface. Users such as medical personnel or the like rely on clinical documentation to treat a patient. By automatically generating clinical documentation based on user interactions with an interface when reviewing patient data, users are not required to spend time in generating clinical documentation themselves.
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公开(公告)号：US20200065524A1
公开(公告)日：2020-02-27
申请号：US16544253
申请日：2019-08-19
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Eric Thomas Carlson
Abstract: Techniques disclosed herein relate to removing potentially identifying features of a specific subject from a data set to prevent re-identification of the subject using an external data source. In various embodiments, the data set contains, as potential identifying features of the specific subject, multiple bursts of temporally-proximate events. Time blocks within the data set can be identified to capture one or more of the bursts of temporally-proximate events for the specific subject. Adding random time shifts for each time block can add noise to the data set and remove or obfuscate the identifying features of a specific subject to generate a time shifted data set.
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公开(公告)号：US20190066843A1
公开(公告)日：2019-02-28
申请号：US16100937
申请日：2018-08-10
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Eric Thomas Carlson
Abstract: Techniques are described herein for collapsing clinical event data into meaningful states of patient care. In various embodiments, time-ordered streams of clinical data associated with a plurality of respective patients may be divided into one or more respective pluralities of temporal segments. Each stream of clinical data may indicate a clinical history of a particular patient of the plurality of patients. Each of the one or more pluralities of temporal segments may have a different duration. In some embodiments, embedding(s) of the one or more pluralities of temporal segments into reduced dimensionality space(s) may be generated. Process mining may be performed on the embedding(s). Based on the process mining, one or more temporal health trajectories shared among the plurality of patients may be identified.
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公开(公告)号：US11605467B2
公开(公告)日：2023-03-14
申请号：US16475794
申请日：2018-01-03
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Eric Thomas Carlson , Erina Ghosh , Mohammad Shahed Sorower , David Paul Noren , Bo Liu
Abstract: A method (100) for training a scoring system (600) comprising the steps of: (i) providing (110) a scoring system comprising a scoring module (606); (ii) receiving (120) a training dataset comprising a plurality of patient data and treatment outcomes; (iii) analyzing (130), using a clinical decision support algorithm, the training dataset to generate a plurality of clinical decision support recommendations; (iv) clustering (140), using the scoring module, the plurality of clinical decision support recommendations into a plurality of clusters; and (v) identifying (160), using the scoring module, one or more features of at least one of the plurality of clusters, and generating, based on the identified one or more features, one or more inclusion criteria for the at least one of the plurality of clusters.
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公开(公告)号：US20200074101A1
公开(公告)日：2020-03-05
申请号：US16549712
申请日：2019-08-23
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Eric Thomas Carlson , Mohammad Shahed Sorower , Sreramkumar Sitaraman Viswanathan , Manakkaparambil Sivanandan Sreekanth , Anshul Jain , Sunil Ranjan Khuntia , Ze He
IPC: G06F21/62
Abstract: The present disclosure is directed to centralized de-identification of protected data associated with subjects in multiple modalities based on a hierarchal taxonomy of policies and handlers. In various embodiments, data set(s) associated with subject(s) may be received. Each of the data set(s) may contain data points associated with a respective subject. The data points associated with the respective subject may include multiple data types, at least some of which are usable to identify the respective subject. For each respective subject: a classification of each of the data points may be determined in accordance with a hierarchal taxonomy; based on the classifications, respective handlers for the data points may be identified; and each data point of the plurality of data points may be processed using a respective identified handler, thereby de-identifying the plurality of data points associated with the respective subject.
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