Patents by Inventor Philip de Chazal
Philip de Chazal 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: 11931131Abstract: An apparatus, system, and method for monitoring a person suffering from a chronic medical condition predicts and assesses physiological changes which could affect the care of that subject. Examples of such chronic diseases include (but are not limited to) heart failure, chronic obstructive pulmonary disease, asthma, and diabetes. Monitoring includes measurements of respiratory movements, which can then be analyzed for evidence of changes in respiratory rate, or for events such as hypopneas, apneas and periodic breathing. Monitoring may be augmented by the measurement of nocturnal heart rate in conjunction with respiratory monitoring. Additional physiological measurements can also be taken such as subjective symptom data, blood pressure, blood oxygen levels, and various molecular markers. Embodiments for detection of respiratory patterns and heart rate are disclosed, together with exemplar implementations of decision processes based on these measurements.Type: GrantFiled: September 11, 2020Date of Patent: March 19, 2024Assignee: ResMed Sensor Technologies LimitedInventors: Conor Heneghan, Alberto Zaffaroni, Philip De Chazal, Redmond Shouldice
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Patent number: 11850077Abstract: Disclosed is a cardio-pulmonary health monitoring apparatus. The apparatus comprises a contactless motion sensor configured to generate one or more movement signals representing bodily movement of a patient during a monitoring session; a processor; and a memory storing program instructions configured to cause the processor to carry out a method of processing the one or more movement signals. The method comprises extracting one or more sleep disordered breathing features from the one or more movement signals, and predicting whether a clinical event is likely to occur during a predetermined prediction horizon based on the one or more sleep disordered breathing features.Type: GrantFiled: August 21, 2019Date of Patent: December 26, 2023Inventors: Klaus Henry Schindhelm, Steven Paul Farrugia, Michael Waclaw Colefax, Faizan Javed, Rami Khushaba, Conor Heneghan, Philip De Chazal, Alberto Zaffaroni, Niall Fox, Patrick Celka, Emer O'Hare, Stephen James Redmond
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Publication number: 20230293021Abstract: An apparatus, system, and method monitors the motion, breathing, heart rate and sleep state of subjects, e.g., humans, in a convenient, non-invasive/non-contact, and low-cost fashion. More particularly, the motion, breathing, and heart rate signals are obtained through processing applied to a raw signal obtained in a non-contact fashion, typically using a radio-frequency sensor. Periods of sleep disturbed respiration, or central apnea can be detected through analysis of the respiratory signal. The mean heart rate, and derived information, such as the presence of cardiac arrhythmias can be determined from the cardiac signal. Motion estimates can be used to recognize disturbed sleep and periodic limb movements. The sleep state may be determined by applying a classifier model to the resulting streams of respiratory, cardiac and motion data. A means for display of the sleep state, respiratory, cardiac, and movement status may also be provided.Type: ApplicationFiled: May 23, 2023Publication date: September 21, 2023Applicant: ResMed Sensor Technologies LimitedInventors: Conor HENEGHAN, Conor Hanley, Niall Fox, Philip De Chazal
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Patent number: 11690519Abstract: An apparatus, system, and method monitors the motion, breathing, heart rate and sleep state of subjects, e.g., humans, in a convenient, non-invasive/non-contact, and low-cost fashion. More particularly, the motion, breathing, and heart rate signals are obtained through processing applied to a raw signal obtained in a non-contact fashion, typically using a radio-frequency sensor. Periods of sleep disturbed respiration, or central apnea can be detected through analysis of the respiratory signal. The mean heart rate, and derived information, such as the presence of cardiac arrhythmias can be determined from the cardiac signal. Motion estimates can be used to recognize disturbed sleep and periodic limb movements. The sleep state may be determined by applying a classifier model to the resulting streams of respiratory, cardiac and motion data. A means for display of the sleep state, respiratory, cardiac, and movement status may also be provided.Type: GrantFiled: July 2, 2020Date of Patent: July 4, 2023Inventors: Conor Heneghan, Conor Hanley, Niall Fox, Philip De Chazal
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Publication number: 20210338086Abstract: An apparatus, system, and method are disclosed for monitoring the motion, breathing, heart rate of humans in a convenient and low-cost fashion, and for deriving and displaying useful measurements of cardiorespiratory performance from the measured signals. The motion, breathing, and heart rate signals are obtained through a processing applied to a raw signal obtained in a non-contact fashion, typically using a radio-frequency sensor. Processing into separate cardiac and respiratory components is described. The heart rate can be determined by using either spectral or time-domain processing. The respiratory rate can be calculated using spectral analysis. The sensor, processing, and display can be incorporated in a single device which can be worn or held close to the body while exercising, or alternately placed in a fixed piece of exercise equipment at some distance form the body, and may also be integrated with other sensors, such as position locators.Type: ApplicationFiled: January 14, 2021Publication date: November 4, 2021Applicant: RESMED SENSOR TECHNOLOGIES LIMITEDInventors: Philip DE CHAZAL, Conor Hanley, Conor Heneghan
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Publication number: 20210193275Abstract: An apparatus, system, and method for the measurement, aggregation and analysis of data collected using non-contact or minimally-contacting sensors provides quality of life parameters for individual subjects, particularly in the context of a controlled trial of interventions on human subjects (e.g., a clinical trial of a drug, or an evaluation of a consumer item such as a fragrance). In particular, non-contact or minimal-contact measurement of quality-of-life parameters such as sleep, stress, relaxation, drowsiness, temperature and emotional state of humans may be evaluated, together with automated sampling, storage, and transmission to a remote data analysis center. One component of the system is that the objective data is measured with as little disruption as possible to the normal behavior of the subject. The system can also support behavioral and pharmaceutical interventions aimed at improving quality of life.Type: ApplicationFiled: December 9, 2020Publication date: June 24, 2021Applicant: RESMED SENSOR TECHNOLOGIES LIMITEDInventors: Conor HENEGHAN, Conor Hanley, Niall Fox, Alberto Zaffaroni, Philip De Chazal
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Publication number: 20210038087Abstract: An apparatus, system, and method monitors the motion, breathing, heart rate and sleep state of subjects, e.g., humans, in a convenient, non-invasive/non-contact, and low-cost fashion. More particularly, the motion, breathing, and heart rate signals are obtained through processing applied to a raw signal obtained in a non-contact fashion, typically using a radio-frequency sensor. Periods of sleep disturbed respiration, or central apnea can be detected through analysis of the respiratory signal. The mean heart rate, and derived information, such as the presence of cardiac arrhythmias can be determined from the cardiac signal. Motion estimates can be used to recognize disturbed sleep and periodic limb movements. The sleep state may be determined by applying a classifier model to the resulting streams of respiratory, cardiac and motion data. A means for display of the sleep state, respiratory, cardiac, and movement status may also be provided.Type: ApplicationFiled: July 2, 2020Publication date: February 11, 2021Applicant: RESMED SENSOR TECHNOLOGIES LIMITEDInventors: Conor HENEGHAN, Conor Hanley, Niall Fox, Philip De Chazal
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Patent number: 10893811Abstract: An apparatus, system, and method is disclosed for monitoring the motion, breathing, heart rate of humans in a convenient and low-cost fashion, and for deriving and displaying useful measurements of cardiorespiratory performance from the measured signals. The motion, breathing, and heart rate signals are obtained through a processing applied to a raw signal obtained in a non-contact fashion, typically using a radio-frequency sensor. Processing into separate cardiac and respiratory components is described. The heart rate can be determined by using either spectral or time-domain processing. The respiratory rate can be calculated using spectral analysis. Processing to derive the heart rate, respiratory sinus arrhythmia, or a ventilatory threshold parameter using the system is described. The sensor, processing, and display can be incorporated in a single device which can be worn or held close to the body while exercising (e.g.Type: GrantFiled: August 8, 2014Date of Patent: January 19, 2021Inventors: Philip De Chazal, Conor Hanley, Conor Heneghan
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Patent number: 10891356Abstract: An apparatus, system, and method for the measurement, aggregation and analysis of data collected using non-contact or minimally-contacting sensors provides quality of life parameters for individual subjects, particularly in the context of a controlled trial of interventions on human subjects (e.g., a clinical trial of a drug, or an evaluation of a consumer item such as a fragrance). In particular, non-contact or minimal-contact measurement of quality-of-life parameters such as sleep, stress, relaxation, drowsiness, temperature and emotional state of humans may be evaluated, together with automated sampling, storage, and transmission to a remote data analysis center. One component of the system is that the objective data is measured with as little disruption as possible to the normal behavior of the subject. The system can also support behavioral and pharmaceutical interventions aimed at improving quality of life.Type: GrantFiled: September 23, 2009Date of Patent: January 12, 2021Inventors: Conor Heneghan, Conor Hanley, Niall Fox, Alberto Zaffaroni, Philip De Chazal
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Patent number: 10885152Abstract: An apparatus, system, and method for the measurement, aggregation and analysis of data collected using non-contact or minimally-contacting sensors provides quality of life parameters for individual subjects, particularly in the context of a controlled trial of interventions on human subjects (e.g., a clinical trial of a drug, or an evaluation of a consumer item such as a fragrance). In particular, non-contact or minimal-contact measurement of quality-of-life parameters such as sleep, stress, relaxation, drowsiness, temperature and emotional state of humans may be evaluated, together with automated sampling, storage, and transmission to a remote data analysis center. One component of the system is that the objective data is measured with as little disruption as possible to the normal behavior of the subject. The system can also support behavioral and pharmaceutical interventions aimed at improving quality of life.Type: GrantFiled: November 20, 2015Date of Patent: January 5, 2021Assignee: RESMED SENSOR TECHNOLOGIES LIMITEDInventors: Conor Heneghan, Conor Hanley, Niall Fox, Alberto Zaffaroni, Philip De Chazal
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Publication number: 20200405157Abstract: An apparatus, system, and method for monitoring a person suffering from a chronic medical condition predicts and assesses physiological changes which could affect the care of that subject. Examples of such chronic diseases include (but are not limited to) heart failure, chronic obstructive pulmonary disease, asthma, and diabetes. Monitoring includes measurements of respiratory movements, which can then be analyzed for evidence of changes in respiratory rate, or for events such as hypopneas, apneas and periodic breathing. Monitoring may be augmented by the measurement of nocturnal heart rate in conjunction with respiratory monitoring. Additional physiological measurements can also be taken such as subjective symptom data, blood pressure, blood oxygen levels, and various molecular markers. Embodiments for detection of respiratory patterns and heart rate are disclosed, together with exemplar implementations of decision processes based on these measurements.Type: ApplicationFiled: September 11, 2020Publication date: December 31, 2020Applicant: RESMED SENSOR TECHNOLOGIES LIMITEDInventors: Conor HENEGHAN, Alberto ZAFFARONI, Philip DE CHAZAL, Redmond SHOULDICE
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Patent number: 10799126Abstract: An apparatus, system, and method for monitoring a person suffering from a chronic medical condition predicts and assesses physiological changes which could affect the care of that subject. Examples of such chronic diseases include (but are not limited to) heart failure, chronic obstructive pulmonary disease, asthma, and diabetes. Monitoring includes measurements of respiratory movements, which can then be analyzed for evidence of changes in respiratory rate, or for events such as hypopneas, apneas and periodic breathing. Monitoring may be augmented by the measurement of nocturnal heart rate in conjunction with respiratory monitoring. Additional physiological measurements can also be taken such as subjective symptom data, blood pressure, blood oxygen levels, and various molecular markers. Embodiments for detection of respiratory patterns and heart rate are disclosed, together with exemplar implementations of decision processes based on these measurements.Type: GrantFiled: November 4, 2016Date of Patent: October 13, 2020Assignee: ResMed Sensor Technologies LimitedInventors: Conor Heneghan, Alberto Zaffaroni, Philip De Chazal, Redmond Shouldice
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Patent number: 10729332Abstract: An apparatus, system, and method monitors the motion, breathing, heart rate and sleep state of subjects, e.g., humans, in a convenient, non-invasive/non-contact, and low-cost fashion. More particularly, the motion, breathing, and heart rate signals are obtained through processing applied to a raw signal obtained in a non-contact fashion, typically using a radio-frequency sensor. Periods of sleep disturbed respiration, or central apnea can be detected through analysis of the respiratory signal. The mean heart rate, and derived information, such as the presence of cardiac arrhythmias can be determined from the cardiac signal. Motion estimates can be used to recognize disturbed sleep and periodic limb movements. The sleep state may be determined by applying a classifier model to the resulting streams of respiratory, cardiac and motion data. A means for display of the sleep state, respiratory, cardiac, and movement status may also be provided.Type: GrantFiled: September 17, 2013Date of Patent: August 4, 2020Assignee: ResMed Sensor Technologies LimitedInventors: Conor Heneghan, Conor Hanley, Niall Fox, Philip De Chazal
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Publication number: 20200113484Abstract: Disclosed is a cardio-pulmonary health monitoring apparatus. The apparatus comprises a contactless motion sensor configured to generate one or more movement signals representing bodily movement of a patient during a monitoring session; a processor; and a memory storing program instructions configured to cause the processor to carry out a method of processing the one or more movement signals. The method comprises extracting one or more sleep disordered breathing features from the one or more movement signals, and predicting whether a clinical event is likely to occur during a predetermined prediction horizon based on the one or more sleep disordered breathing features.Type: ApplicationFiled: August 21, 2019Publication date: April 16, 2020Applicant: RESMED SENSOR TECHNOLOGIES LIMITEDInventors: Klaus Henry SCHINDHELM, Steven Paul FARRUGIA, Michael Waclaw COLEFAX, Faizan JAVED, Rami KHUSHABA, Conor HENEGHAN, Philip DE CHAZAL, Alberto ZAFFARONI, Niall FOX, Patrick CELKA, Emer O'HARE, Stephen James REDMOND
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Publication number: 20200107775Abstract: Methods and systems for detecting and diagnosing sleep apnea include using three lead electrocardiogram (ECG) monitoring devices to calculate ECG derived respiration data. Beat-typing information from the ECG device's analyser is used to enhance the derived respiration data by removing beats identified as non-normal. Surrounding epoch information is integrated early and epoch posterior probabilities are thresholded in order to remove diffident epochs. The system is further trained as new data is collected in the database.Type: ApplicationFiled: October 1, 2019Publication date: April 9, 2020Inventors: Philip de Chazal, Hakimeh Sadat Nadi Sadr Lahijany
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Patent number: 10426380Abstract: Disclosed is a cardio-pulmonary health monitoring apparatus. The apparatus comprises a contactless motion sensor configured to generate one or more movement signals representing bodily movement of a patient during a monitoring session; a processor; and a memory storing program instructions configured to cause the processor to carry out a method of processing the one or more movement signals. The method comprises extracting one or more sleep disordered breathing features from the one or more movement signals, and predicting whether a clinical event is likely to occur during a predetermined prediction horizon based on the one or more sleep disordered breathing features.Type: GrantFiled: May 30, 2013Date of Patent: October 1, 2019Assignee: ResMed Sensor Technologies LimitedInventors: Klaus Henry Schindhelm, Steven Paul Farrugia, Michael Waclaw Colefax, Faizan Javed, Rami Khushaba, Conor Heneghan, Philip De Chazal, Alberto Zaffaroni, Niall Fox, Patrick Celka, Emer O'Hare, Stephen James Redmond
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Publication number: 20190021607Abstract: An apparatus, system, and method monitors the motion, breathing, heart rate and sleep state of subjects, e.g., humans, in a convenient, non-invasive/non-contact, and low-cost fashion. More particularly, the motion, breathing, and heart rate signals are obtained through processing applied to a raw signal obtained in a non-contact fashion, typically using a radio-frequency sensor. Periods of sleep disturbed respiration, or central apnea can be detected through analysis of the respiratory signal. The mean heart rate, and derived information, such as the presence of cardiac arrhythmias can be determined from the cardiac signal. Motion estimates can be used to recognize disturbed sleep and periodic limb movements. The sleep state may be determined by applying a classifier model to the resulting streams of respiratory, cardiac and motion data. A means for display of the sleep state, respiratory, cardiac, and movement status may also be provided.Type: ApplicationFiled: September 17, 2013Publication date: January 24, 2019Applicant: RESMED SENSOR TECHNOLOGIES LIMITEDInventors: Conor Heneghan, Conor Hanley, Niall Fox, Philip De Chazal
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Publication number: 20170231504Abstract: An apparatus, system, and method for monitoring a person suffering from a chronic medical condition predicts and assesses physiological changes which could affect the care of that subject. Examples of such chronic diseases include (but are not limited to) heart failure, chronic obstructive pulmonary disease, asthma, and diabetes. Monitoring includes measurements of respiratory movements, which can then be analyzed for evidence of changes in respiratory rate, or for events such as hypopneas, apneas and periodic breathing. Monitoring may be augmented by the measurement of nocturnal heart rate in conjunction with respiratory monitoring. Additional physiological measurements can also be taken such as subjective symptom data, blood pressure, blood oxygen levels, and various molecular markers. Embodiments for detection of respiratory patterns and heart rate are disclosed, together with exemplar implementations of decision processes based on these measurements.Type: ApplicationFiled: November 4, 2016Publication date: August 17, 2017Applicant: ResMed Sensor Technologies LimitedInventors: Conor Heneghan, Alberto Zaffaroni, Philip De Chazal, Redmond Shouldice
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Patent number: 9526429Abstract: An apparatus, system, and method for monitoring a person suffering from a chronic medical condition predicts and assesses physiological changes which could affect the care of that subject. Examples of such chronic diseases include (but are not limited to) heart failure, chronic obstructive pulmonary disease, asthma, and diabetes. Monitoring includes measurements of respiratory movements, which can then be analyzed for evidence of changes in respiratory rate, or for events such as hypoponeas, apneas and periodic breathing. Monitoring may be augmented by the measurement of nocturnal heart rate in conjunction with respiratory monitoring. Additional physiological measurements can also be taken such as subjective symptom data, blood pressure, blood oxygen levels, and various molecular markers. Embodiments for detection of respiratory patterns and heart rate are disclosed, together with exemplar implementations of decision processes based on these measurements.Type: GrantFiled: February 6, 2009Date of Patent: December 27, 2016Assignee: ResMed Sensor Technologies LimitedInventors: Conor Heneghan, Alberto Zaffaroni, Philip De Chazal, Redmond Shouldice
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Publication number: 20160125160Abstract: An apparatus, system, and method for the measurement, aggregation and analysis of data collected using non-contact or minimally-contacting sensors provides quality of life parameters for individual subjects, particularly in the context of a controlled trial of interventions on human subjects (e.g., a clinical trial of a drug, or an evaluation of a consumer item such as a fragrance). In particular, non-contact or minimal-contact measurement of quality-of-life parameters such as sleep, stress, relaxation, drowsiness, temperature and emotional state of humans may be evaluated, together with automated sampling, storage, and transmission to a remote data analysis center. One component of the system is that the objective data is measured with as little disruption as possible to the normal behavior of the subject. The system can also support behavioral and pharmaceutical interventions aimed at improving quality of life.Type: ApplicationFiled: November 20, 2015Publication date: May 5, 2016Inventors: Conor Heneghan, Conor Hanley, Niall Fox, Alberto Zaffaroni, Philip De Chazal