Patents by Inventor Julien Penders
Julien Penders has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11576622Abstract: A method for uterine activity monitoring may include: acquiring a plurality of signals from a plurality of sensors during uterine activity; processing the plurality of signals to extract a plurality of uterine electrical activity characteristics; analyzing the plurality of uterine electrical activity characteristics; and classifying the uterine activity as one of: a preterm labor contraction, a labor contraction, a Braxton-Hicks contraction, and a state of no contraction. A method of assessing over time a pre-term birth risk of a pregnant female may include: calculating a baseline pre-term birth risk score based on a user input; acquiring, over time, a signal from a sensor; analyzing the signal to extract a parameter of interest, such that the parameter of interest comprises a physiological parameter; and calculating an instant pre-term birth risk score based, at least in part, on the parameter of interest and the user input.Type: GrantFiled: July 19, 2018Date of Patent: February 14, 2023Assignee: BLOOM TECHNOLOGIES NVInventors: Julien Penders, Michiel Rooijakkers, Eric Dy, Marco Altini
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Patent number: 11534104Abstract: Described herein are methods for identifying a labor state in a pregnant female, including: receiving an input indicating a gestational age; acquiring a physiological signal; processing the physiological signal to extract a parameter of interest; and feeding the parameter of interest into a machine learning model. The machine learning model is configured to: determine a first labor probability based on the parameter of interest, determine a second labor probability based on the parameter of interest or a second parameter of interest and the gestational age, and classify the labor state of the pregnant female based on the first and second labor probability.Type: GrantFiled: October 28, 2019Date of Patent: December 27, 2022Assignee: BLOOM TECHNOLOGIES NVInventors: Julien Penders, Michiel Rooijakkers, Marco Altini, Eric Dy
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Patent number: 11510607Abstract: A system for monitoring fetal wellbeing over time during pregnancy includes a sensor coupled to a pregnant woman; a processor communicatively coupled to the sensor; and a computer-readable medium having non-transitory, processor-executable instructions stored thereon. Execution of the instructions causes the processor to perform a method including: acquiring a signal from a sensor; processing the signal to identify and extract a parameter of interest from the signal; and analyzing the parameter of interest to determine a degree of fetal wellbeing. The parameter of interest may include one or more of: an average fetal heart rate, an average fetal heart rate variability, a fetal kick or movement count, an average placental oxygenation level, an average placental temperature, an average placental pH, an average amount of amniotic fluid, a fetal heart rate profile, a fetal heart rate variability profile, and a fetal movement profile.Type: GrantFiled: May 14, 2018Date of Patent: November 29, 2022Assignee: BLOOM TECHNOLOGIES NVInventors: Julien Penders, Eric Dy, Marco Altini
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Publication number: 20200196958Abstract: A method for uterine activity monitoring may include: acquiring a plurality of signals from a plurality of sensors during uterine activity; processing the plurality of signals to extract a plurality of uterine electrical activity characteristics; analyzing the plurality of uterine electrical activity characteristics; and classifying the uterine activity as one of: a preterm labor contraction, a labor contraction, a Braxton-Hicks contraction, and a state of no contraction. A method of assessing over time a pre-term birth risk of a pregnant female may include: calculating a baseline pre-term birth risk score based on a user input; acquiring, over time, a signal from a sensor; analyzing the signal to extract a parameter of interest, such that the parameter of interest comprises a physiological parameter; and calculating an instant pre-term birth risk score based, at least in part, on the parameter of interest and the user input.Type: ApplicationFiled: July 19, 2018Publication date: June 25, 2020Inventors: Julien Penders, Michiel Rooijakkers, Eric Dy, Marco Altini
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Publication number: 20200178880Abstract: A system for monitoring fetal wellbeing over time during pregnancy includes a sensor coupled to a pregnant woman; a processor communicatively coupled to the sensor; and a computer-readable medium having non-transitory, processor-executable instructions stored thereon. Execution of the instructions causes the processor to perform a method including: acquiring a signal from a sensor; processing the signal to identify and extract a parameter of interest from the signal; and analyzing the parameter of interest to determine a degree of fetal wellbeing. The parameter of interest may include one or more of: an average fetal heart rate, an average fetal heart rate variability, a fetal kick or movement count, an average placental oxygenation level, an average placental temperature, an average placental pH, an average amount of amniotic fluid, a fetal heart rate profile, a fetal heart rate variability profile, and a fetal movement profile.Type: ApplicationFiled: May 14, 2018Publication date: June 11, 2020Inventors: Julien Penders, Eric Dy, Marco Altini
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Publication number: 20200107771Abstract: Described herein are methods for identifying a labor state in a pregnant female, including: receiving an input indicating a gestational age; acquiring a physiological signal; processing the physiological signal to extract a parameter of interest; and feeding the parameter of interest into a machine learning model. The machine learning model is configured to: determine a first labor probability based on the parameter of interest, determine a second labor probability based on the parameter of interest or a second parameter of interest and the gestational age, and classify the labor state of the pregnant female based on the first and second labor probability.Type: ApplicationFiled: October 28, 2019Publication date: April 9, 2020Inventors: Julien Penders, Michiel Rooijakkers, Marco Altini, Eric Dy
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Patent number: 10595786Abstract: Embodiments include a method and system for providing data to a user of a wearable sensor platform. The method may be performed by a least one software component executing on at least one processor. The method includes capturing data for the user using at least one sensor in the wearable sensor platform. The data includes physiological data and artifact data. The physiological data includes noise data therein. A confidence indicator for the data is determined based on at least one of the physiological data and the artifact data. A physiological data signal corresponding to the physiological data and the confidence indicator is provided to the user on the wearable device platform.Type: GrantFiled: March 1, 2019Date of Patent: March 24, 2020Assignee: Samsung Electronics Co., Ltd.Inventors: Julien Penders, Alexander Young, Noam Rosenthal, Ram Fish, Eva C. Wentink
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Patent number: 10499844Abstract: A system for monitoring health parameters of a user includes a housing including: a plurality of sensors disposed on an outer surface of the housing or within the housing for measuring a plurality of parameters of interest; a processor disposed in the housing and communicatively coupled to the plurality of sensors; a coupling element on the housing for coupling the housing to an accessory; and an accessory identifier positioned on or within the housing and communicatively coupled to the processor. In some embodiments, the housing is reversibly transitionable between an uncoupled state and a coupled state with the accessory. In the coupled state, the accessory identifier senses a type of accessory and the processor activates a subset of the plurality of sensors to measure a subset of the plurality of parameters of interest. In some embodiments, the user is a pregnant female and a fetus developing in the pregnant female.Type: GrantFiled: July 1, 2016Date of Patent: December 10, 2019Assignee: Bloom Technologies NVInventors: Julien Penders, Eric Dy
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Patent number: 10456074Abstract: Described herein are systems and methods for contraction monitoring. For example, a system for contraction monitoring includes an electrode patch including at least two electrodes, and a sensor module configured to be connected to the electrode patch. In some embodiments, the sensor module includes a signal acquisition module, a signal processing module, a power management module, a sensor control module, and a memory module and/or a data transmission module. In some embodiments, a method for contraction monitoring includes measuring, using the signal acquisition module, bio-potential signals by providing at least two electrodes on the abdomen of a pregnant woman.Type: GrantFiled: October 29, 2015Date of Patent: October 29, 2019Assignee: Bloom Technologies NVInventors: Julien Penders, Marco Altini, Eric Dy, Torfinn Berset, Michiel Rooijakkers
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Publication number: 20190192080Abstract: Embodiments include a method and system for providing data to a user of a wearable sensor platform. The method may be performed by a least one software component executing on at least one processor. The method includes capturing data for the user using at least one sensor in the wearable sensor platform. The data includes physiological data and artifact data. The physiological data includes noise data therein. A confidence indicator for the data is determined based on at least one of the physiological data and the artifact data. A physiological data signal corresponding to the physiological data and the confidence indicator is provided to the user on the wearable device platform.Type: ApplicationFiled: March 1, 2019Publication date: June 27, 2019Inventors: Julien Penders, Alexander Young, Noam Rosenthal, Ram Fish, Eva C. Wentink
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Publication number: 20190133464Abstract: Exemplary embodiments comprise a modular sensor platform, comprising: a base module comprising, a display, a processor, a memory and a communication interface; a band removably coupled to the base module such that the band is replaceable with different types of bands; and a sensor module that collects data from a user, the sensor module in communication with the base module and removably coupled to the band such that the sensor module is replaceable with different types of sensor modules, the sensor module further comprising a plurality of sensor units that are removably coupled to the sensor module such that individual sensor units are replaceable with different types of sensor units.Type: ApplicationFiled: September 28, 2018Publication date: May 9, 2019Inventors: Ram Fish, James Schuessler, Julien Penders, Lindsay Brown, Frank Settemo Nuovo, Sheldon George Phillips, Tom Torfs
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Patent number: 10278592Abstract: Exemplary embodiments for reconfiguring a storage system comprise a modular sensor platform, comprising: a base module comprising, a display, a processor, a memory and a communication interface; a band removably coupled to the base module such that the band is replaceable with different types of bands; and a sensor module that collects data from a user, the sensor module in communication with the base module and removably coupled to the band such that the sensor module is replaceable with different types of sensor modules, the sensor module further comprising a plurality of sensor units that are removably coupled to the sensor module such that individual sensor units are replaceable with different types of sensor units.Type: GrantFiled: May 23, 2014Date of Patent: May 7, 2019Assignee: Samsung Electronics Co., Ltd.Inventors: Ram Fish, James Schuessler, Julien Penders, Lindsay Brown, Frank Settemo Nuovo, Sheldon George Phillips, Tom Torfs
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Patent number: 10258288Abstract: Embodiments include a method and system for providing data to a user of a wearable sensor platform. The method may be performed by a least one software component executing on at least one processor. The method includes capturing data for the user using at least one sensor in the wearable sensor platform. The data includes physiological data and artifact data. The physiological data includes noise data therein. A confidence indicator for the data is determined based on at least one of the physiological data and the artifact data. A physiological data signal corresponding to the physiological data and the confidence indicator is provided to the user on the wearable device platform.Type: GrantFiled: May 23, 2014Date of Patent: April 16, 2019Assignee: Samsung Electronics Co., Ltd.Inventors: Julien Penders, Alexander Young, Noam Rosenthal, Ram Fish, Eva C. Wentink
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Publication number: 20180296156Abstract: Described herein are systems and methods for contraction monitoring. For example, a system for contraction monitoring includes an electrode patch including at least two electrodes, and a sensor module configured to be connected to the electrode patch. In some embodiments, the sensor module includes a signal acquisition module, a signal processing module, a power management module, a sensor control module, and a memory module and/or a data transmission module. In some embodiments, a method for contraction monitoring includes measuring, using the signal acquisition module, bio-potential signals by providing at least two electrodes on the abdomen of a pregnant woman.Type: ApplicationFiled: October 29, 2015Publication date: October 18, 2018Applicant: Bloom Technologies NVInventors: Julien Penders, Marco Altini, Eric Dy, Torfinn Berset, Michiel ROOIJAKKERS
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Publication number: 20180000405Abstract: A system for monitoring health parameters of a user includes a housing including: a plurality of sensors disposed on an outer surface of the housing or within the housing for measuring a plurality of parameters of interest; a processor disposed in the housing and communicatively coupled to the plurality of sensors; a coupling element on the housing for coupling the housing to an accessory; and an accessory identifier positioned on or within the housing and communicatively coupled to the processor. In some embodiments, the housing is reversibly transitionable between an uncoupled state and a coupled state with the accessory. In the coupled state, the accessory identifier senses a type of accessory and the processor activates a subset of the plurality of sensors to measure a subset of the plurality of parameters of interest. In some embodiments, the user is a pregnant female and a fetus developing in the pregnant female.Type: ApplicationFiled: July 1, 2016Publication date: January 4, 2018Applicant: Bloom Technologies NVInventors: Julien Penders, Eric Dy
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Publication number: 20170224268Abstract: Systems and methods for monitoring the onset or occurrence of labor contractions and detecting or estimating labor in a pregnant female are provided.Type: ApplicationFiled: February 10, 2017Publication date: August 10, 2017Applicant: Bloom Technologies NVInventors: Marco Altini, Julien Penders, Eric Dy
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Patent number: 9477419Abstract: A memory control system for controlling read and write operations of a non-volatile memory, wherein the memory control system comprises a memory controller that is adapted to implement a write operation for writing at least one block of data to the memory as a sequence of memory write and validation cycles for part of all of the data. In one example, the number of cycles is a function of the amount of successfully written data per cycle and is thus variable in dependence on the success of the data writing. The system also includes a power management unit, which is adapted to authorize or prevent the memory controller from conducting the write operation at the level of the write cycles thereby to control the timing of power consumption resulting from the cycles of the write operation.Type: GrantFiled: December 22, 2014Date of Patent: October 25, 2016Assignee: Stichting IMEC NederlandInventors: Tobias Gemmeke, Julien Penders, Carlos Agell
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Publication number: 20160128638Abstract: A system for detecting and quantifying deviations from physiological signals normality and methods for making and using same. Each subject physiology follows unique patterns. The physiological signals can be affected by one or more factors such as circadian rhythm, disease and/or external stressors. Deviations of physiological signals from the normality of a subject can be indicative of external events that might require proper lifestyle management or just in time interventions, such as being exposed to high stress or the progress/onset of specific disease conditions. The disclosed system advantageously can quantify such deviations.Type: ApplicationFiled: November 10, 2014Publication date: May 12, 2016Inventors: Marco Altini, Julien Penders, Eric Dy, Torfinn Berset
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Publication number: 20160117937Abstract: A system suitable for generating messages based on biometric and contextual data and methods for making and using the same. One or more sensors can be used to measure biometric and/or contextual data. The measured data are analyzed using behavior analytics to capture behavior of a selected user. The behavior is analyzed with messaging analytics to generate personalized messages related to the behavior. The message preferably is personalized at at least one level, such as time, place and format of message delivery, content of the message, and tone of the message. The message personalization can further adapt to changes in the user's behavior and/or preferences. Thereby, the method and system advantageously can provide biometric and context based messaging for motivating healthy behavior.Type: ApplicationFiled: October 27, 2014Publication date: April 28, 2016Inventors: Julien Penders, Marco Altini, Eric Dy, Torfinn Berset
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Publication number: 20150309753Abstract: A memory control system for controlling read and write operations of a non-volatile memory, wherein the memory control system comprises a memory controller that is adapted to implement a write operation for writing at least one block of data to the memory as a sequence of memory write and validation cycles for part of all of the data. In one example, the number of cycles is a function of the amount of successfully written data per cycle and is thus variable in dependence on the success of the data writing. The system also includes a power management unit, which is adapted to authorize or prevent the memory controller from conducting the write operation at the level of the write cycles thereby to control the timing of power consumption resulting from the cycles of the write operation.Type: ApplicationFiled: December 22, 2014Publication date: October 29, 2015Applicant: STICHTING IMEC NEDERLANDInventors: Tobias Gemmeke, Julien Penders, Carlos Agell