Patents by Inventor Alberto ZAFFARONI
Alberto ZAFFARONI 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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Patent number: 11796665Abstract: One or more sensors are configured for detection of characteristics of moving objects and living subjects for human identification or authentication. One or more processors, such as in a system of sensors or that control a sensor, may be configured to process signals from the one or more sensors to identify a person. The processing may include evaluating features from the signals such as breathing rate, respiration depth, degree of movement and heart rate etc. The sensors may be radio frequency non-contact sensors with automated detection control to change detection control parameters based on the identification of living beings, such as to avoid sensor interference.Type: GrantFiled: July 15, 2021Date of Patent: October 24, 2023Inventors: Redmond Shouldice, Emer Doheny, Alberto Zaffaroni
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Publication number: 20230248935Abstract: A processing system includes methods to promote sleep. The system may include a monitor such as a non-contact motion sensor from which sleep information may be determined. User sleep information, such as sleep stages, hypnograms, sleep scores, mind recharge scores and body scores, may be recorded, evaluated and/or displayed for a user. The system may further monitor ambient and/or environmental conditions corresponding to sleep sessions. Sleep advice may be generated based on the sleep information, user queries and/or environmental conditions from one or more sleep sessions. Communicated sleep advice may include content to promote good sleep habits and/or detect risky sleep conditions. In some versions of the system, any one or more of a bedside unit 3000 sensor module, a smart processing device, such as a smart phone or smart device 3002, and network servers may be implemented to perform the methodologies of the system.Type: ApplicationFiled: April 19, 2023Publication date: August 10, 2023Applicant: ResMed Sensor Technologies LimitedInventors: Redmond SHOULDICE, Colin Lawlor, Matthew Norton, David Mulligan, Stephen McMahon, Paul Phillips, Damien O'Rourke, Luke Gahan, Marc Lavelle, Conor Heneghan, Alberto Zaffaroni, Gareth McDarby
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Publication number: 20230190140Abstract: Methods and apparatus provide monitoring of coughing and/or a sleep disordered breathing state of a person. One or more sensors may be configured for non-contact active and/or passive sensing. The processor(s) may extract respiratory effort signal(s) from one or more motion signals generated by active non-contact sensing with the sensor(s). The processor(s) may extract one or more energy band signals from an acoustic audio signal generated by passive non-contact sensing with the sensor(s). The processor(s) may assess the energy band signal(s) and/or the respiratory efforts signal(s) to generate intensity signal(s) representing sleep disorder breathing modulation. The processor(s) may classify feature(s) derived from the one or more intensity signals to generate measure(s) of coughing and/or sleep disordered breathing.Type: ApplicationFiled: May 19, 2021Publication date: June 22, 2023Applicant: ResMed Sensor Technologies LimitedInventors: Roxana TIRON, Graeme Alexander LYON, Redmond SHOULDICE, Stephen MCMAHON, Alberto ZAFFARONI, Stephen DODD
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Patent number: 11648373Abstract: A processing system includes methods to promote sleep. The system may include a monitor such as a non-contact motion sensor from which sleep information may be determined. User sleep information, such as sleep stages, hypnograms, sleep scores, mind recharge scores and body scores, may be recorded, evaluated and/or displayed for a user. The system may further monitor ambient and/or environmental conditions corresponding to sleep sessions. Sleep advice may be generated based on the sleep information, user queries and/or environmental conditions from one or more sleep sessions. Communicated sleep advice may include content to promote good sleep habits and/or detect risky sleep conditions. In some versions of the system, any one or more of a bedside unit 3000 sensor module, a smart processing device, such as a smart phone or smart device 3002, and network servers may be implemented to perform the methodologies of the system.Type: GrantFiled: March 31, 2022Date of Patent: May 16, 2023Inventors: Redmond Shouldice, Colin John Lawlor, Matthew Norton, David Mulligan, Stephen McMahon, Paul Phillips, Damien O'Rourke, Luke Gahan, Marc Lavelle, Conor Heneghan, Alberto Zaffaroni, Gareth McDarby
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APPARATUS, SYSTEM, AND METHOD FOR DETECTING PHYSIOLOGICAL MOVEMENT FROM AUDIO AND MULTIMODAL SIGNALS
Publication number: 20220361768Abstract: Methods and devices provide physiological movement detection with active sound generation. In some versions, a processor may detect breathing and/or gross body motion. The processor may control producing, via a speaker coupled to the processor, a sound signal in a user's vicinity. The processor may control sensing, via a microphone coupled to the processor, a reflected sound signal. This reflected sound signal is a reflection of the sound signal from the user. The processor may process the reflected sound, such as by a demodulation technique. The processor may detect breathing from the processed reflected sound signal. The sound signal may be produced as a series of tone pairs in a frame of slots or as a phase-continuous repeated waveform having changing frequencies (e.g., triangular or ramp sawtooth). Evaluation of detected movement information may determine sleep states or scoring, fatigue indications, subject recognition, chronic disease monitoring/prediction, and other output parameters.Type: ApplicationFiled: July 22, 2022Publication date: November 17, 2022Applicant: ResMed Sensor Technologies LimitedInventors: Stephen MCMAHON, Damien O'ROURKE, Alberto ZAFFARONI, Redmond SHOULDICE, Tony FAGAN, Niall Andrew FOX, Niall O'MAHONY, Graeme Alexander LYON -
Publication number: 20220280747Abstract: A processing system includes methods to promote sleep. The system may include a monitor such as a non-contact motion sensor from which sleep information may be determined. User sleep information, such as sleep stages, hypnograms, sleep scores, mind recharge scores and body scores, may be recorded, evaluated and/or displayed for a user. The system may further monitor ambient and/or environmental conditions corresponding to sleep sessions. Sleep advice may be generated based on the sleep information, user queries and/or environmental conditions from one or more sleep sessions. Communicated sleep advice may include content to promote good sleep habits and/or detect risky sleep conditions. In some versions of the system, any one or more of a bedside unit 3000 sensor module, a smart processing device, such as a smart phone or smart device 3002, and network servers may be implemented to perform the methodologies of the system.Type: ApplicationFiled: March 31, 2022Publication date: September 8, 2022Applicant: ResMed Sensor Technologies LimitedInventors: Redmond SHOULDICE, Colin John LAWLOR, Matthew NORTON, David MULLIGAN, Stephen MCMAHON, Paul PHILLIPS, Damien O'ROURKE, Luke GAHAN, Marc LAVELLE, Conor HENEGHAN, Alberto ZAFFARONI, Gareth MCDARBY
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Patent number: 11364362Abstract: A processing system includes methods to promote sleep. The system may include a monitor such as a non-contact motion sensor from which sleep information may be determined. User sleep information, such as sleep stages, hypnograms, sleep scores, mind recharge scores and body scores, may be recorded, evaluated and/or displayed for a user. The system may further monitor ambient and/or environmental conditions corresponding to sleep sessions. Sleep advice may be generated based on the sleep information, user queries and/or environmental conditions from one or more sleep sessions. Communicated sleep advice may include content to promote good sleep habits and/or detect risky sleep conditions. In some versions of the system, any one or more of a bedside unit 3000 sensor module, a smart processing device, such as a smart phone or smart device 3002, and network servers may be implemented to perform the methodologies of the system.Type: GrantFiled: July 19, 2019Date of Patent: June 21, 2022Inventors: Redmond Shouldice, Colin Lawlor, Matthew Norton, David Mulligan, Stephen McMahon, Paul Phillips, Damien O'Rourke, Luke Gahan, Marc Lavelle, Conor Heneghan, Alberto Zaffaroni, Gareth McDarby
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Patent number: 11324917Abstract: A processing system includes methods to promote sleep. The system may include a monitor such as a non-contact motion sensor from which sleep information may be determined. User sleep information, such as sleep stages, hypnograms, sleep scores, mind recharge scores and body scores, may be recorded, evaluated and/or displayed for a user. The system may further monitor ambient and/or environmental conditions corresponding to sleep sessions. Sleep advice may be generated based on the sleep information, user queries and/or environmental conditions from one or more sleep sessions. Communicated sleep advice may include content to promote good sleep habits and/or detect risky sleep conditions. In some versions of the system, any one or more of a bedside unit 3000 sensor module, a smart processing device, such as a smart phone or smart device 3002, and network servers may be implemented to perform the methodologies of the system.Type: GrantFiled: July 19, 2019Date of Patent: May 10, 2022Inventors: Redmond Shouldice, Colin Lawlor, Matthew Norton, David Mulligan, Stephen McMahon, Paul Phillips, Damien O'Rourke, Luke Gahan, Marc Lavelle, Conor Heneghan, Alberto Zaffaroni, Gareth McDarby
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Publication number: 20220075050Abstract: One or more sensors are configured for detection of characteristics of moving objects and living subjects for human identification or authentication. One or more processors, such as in a system of sensors or that control a sensor, may be configured to process signals from the one or more sensors to identify a person. The processing may include evaluating features from the signals such as breathing rate, respiration depth, degree of movement and heart rate etc. The sensors may be radio frequency non-contact sensors with automated detection control to change detection control parameters based on the identification of living beings, such as to avoid sensor interference.Type: ApplicationFiled: July 15, 2021Publication date: March 10, 2022Applicant: RESMED SENSOR TECHNOLOGIES LIMITEDInventors: Redmond SHOULDICE, Emer DOHENY, Alberto ZAFFARONI
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Publication number: 20220007965Abstract: Methods and apparatus provide monitoring of a sleep disordered breathing state of a person such as for screening. One or more sensors may be configured for non-contact active and/or passive sensing. The processor(s) (7304, 7006) may extract respiratory effort signal(s) from one or more motion signals generated by active non-contact sensing with the sensor(s). The processor(s) may extract one or more energy band signals from an acoustic audio signal generated by passive non-contact sensing with the sensor(s). The processor(s) may assess the energy band signal(s) and/or the respiratory efforts signal(s) to generate intensity signal(s) representing sleep disorder breathing modulation. The processor(s) may classify feature(s) derived from the one or more intensity signals to generate measure(s) of sleep disordered breathing. The processor may generate a sleep disordered breathing indicator based on the measure(s) of sleep disordered breathing.Type: ApplicationFiled: November 19, 2019Publication date: January 13, 2022Applicant: RESMED SENSOR TECHNOLOGIES LIMITEDInventors: Roxana TIRON, Graeme LYON, Redmond SHOULDICE, Stephen MCMAHON, Alberto ZAFFARONI, Stephen DODD
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APPARATUS, SYSTEM, AND METHOD FOR DETECTING PHYSIOLOGICAL MOVEMENT FROM AUDIO AND MULTIMODAL SIGNALS
Publication number: 20210275056Abstract: Methods and devices provide physiological movement detection with active sound generation. In some versions, a processor may detect breathing and/or gross body motion. The processor may control producing, via a speaker coupled to the processor, a sound signal in a user's vicinity. The processor may control sensing, via a microphone coupled to the processor, a reflected sound signal. This reflected sound signal is a reflection of the sound signal from the user. The processor may process the reflected sound, such as by a demodulation technique. The processor may detect breathing from the processed reflected sound signal. The sound signal may be produced as a series of tone pairs in a frame of slots or as a phase-continuous repeated waveform having changing frequencies (e.g., triangular or ramp sawtooth). Evaluation of detected movement information may determine sleep states or scoring, fatigue indications, subject recognition, chronic disease monitoring/prediction, and other output parameters.Type: ApplicationFiled: September 19, 2017Publication date: September 9, 2021Applicant: RESMED SENSOR TECHNOLOGIES LIMITEDInventors: Stephen MCMAHON, Damien O'ROURKE, Alberto ZAFFARONI, Redmond SHOULDICE, Tony FAGAN, Niall FOX, Niall O'MAHONY, Graeme LYON -
Patent number: 11092685Abstract: One or more sensors are configured for detection of characteristics of moving objects and living subjects for human identification or authentication. One or more processors, such as in a system of sensors or that control a sensor, may be configured to process signals from the one or more sensors to identify a person. The processing may include evaluating features from the signals such as breathing rate, respiration depth, degree of movement and heart rate etc. The sensors may be radio frequency non-contact sensors with automated detection control to change detection control parameters based on the identification of living beings, such as to avoid sensor interference.Type: GrantFiled: May 13, 2020Date of Patent: August 17, 2021Inventors: Redmond Shouldice, Emer Doheny, Alberto Zaffaroni
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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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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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Publication number: 20200386879Abstract: One or more sensors are configured for detection of characteristics of moving objects and living subjects for human identification or authentication. One or more processors, such as in a system of sensors or that control a sensor, may be configured to process signals from the one or more sensors to identify a person. The processing may include evaluating features from the signals such as breathing rate, respiration depth, degree of movement and heart rate etc. The sensors may be radio frequency non-contact sensors with automated detection control to change detection control parameters based on the identification of living beings, such as to avoid sensor interference.Type: ApplicationFiled: May 13, 2020Publication date: December 10, 2020Applicant: RESMED SENSOR TECHNOLOGIES LIMITEDInventors: Redmond SHOULDICE, Emer DOHENY, Alberto ZAFFARONI
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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