Patents by Inventor Trevor Murray
Trevor Murray 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: 11801009Abstract: Methods and apparatus monitor health by detection of sleep stage. For example, a sleep stage monitor (100) may access sensor data signals related to bodily movement and/or respiration movements. At least a portion of the detected signals may be analyzed to calculate respiration variability. The respiration variability may include one or more of variability of respiration rate and variability of respiration amplitude. A processor may then determine a sleep stage based on one or more of respiration variability and bodily movement, such as with a combination of both. The determination of sleep stages may distinguish between deep sleep and other stages of sleep, or may differentiate between deep sleep, light sleep and REM sleep. The bodily movement and respiration movement signals may be derived from one or more sensors, such as non-invasive sensor (e.g., a non-contact radio-frequency motion sensor or a pressure sensitive mattress).Type: GrantFiled: April 13, 2020Date of Patent: October 31, 2023Inventors: Gareth McDarby, Emer O'Hare, Paul Phillips, Conor Heneghan, Trevor Murray
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Publication number: 20200337634Abstract: Methods and apparatus monitor health by detection of sleep stage. For example, a sleep stage monitor (100) may access sensor data signals related to bodily movement and/or respiration movements. At least a portion of the detected signals may be analyzed to calculate respiration variability. The respiration variability may include one or more of variability of respiration rate and variability of respiration amplitude. A processor may then determine a sleep stage based on one or more of respiration variability and bodily movement, such as with a combination of both. The determination of sleep stages may distinguish between deep sleep and other stages of sleep, or may differentiate between deep sleep, light sleep and REM sleep. The bodily movement and respiration movement signals may be derived from one or more sensors, such as non-invasive sensor (e.g., a non-contact radio-frequency motion sensor or a pressure sensitive mattress).Type: ApplicationFiled: April 13, 2020Publication date: October 29, 2020Applicant: RESMED SENSOR TECHNOLOGIES LIMITEDInventors: Gareth McDarby, Erner O'Hare, Paul Phillips, Conor Heneghan, Trevor Murray
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Patent number: 10660563Abstract: Methods and apparatus monitor health by detection of sleep stage. For example, a sleep stage monitor (100) may access sensor data signals related to bodily movement and/or respiration movements. At least a portion of the detected signals may be analyzed to calculate respiration variability. The respiration variability may include one or more of variability of respiration rate and variability of respiration amplitude. A processor may then determine a sleep stage based on one or more of respiration variability and bodily movement, such as with a combination of both. The determination of sleep stages may distinguish between deep sleep and other stages of sleep, or may differentiate between deep sleep, light sleep and REM sleep. The bodily movement and respiration movement signals may be derived from one or more sensors, such as non-invasive sensor (e.g., a non-contact radio-frequency motion sensor or a pressure sensitive mattress).Type: GrantFiled: September 19, 2013Date of Patent: May 26, 2020Assignee: ResMed Sensor Technologies LimitedInventors: Gareth McDarby, Emer O'Hare, Paul Phillips, Conor Heneghan, Trevor Murray
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Patent number: 10492720Abstract: Methods and apparatus monitor health by detection of sleep stage. For example, a sleep stage monitor may access sensor data signals related to bodily movement and respiration movements. At least a portion of the detected signals may be analyzed to calculate respiration variability. The respiration variability may include variability of respiration rate or variability of respiration amplitude. A processor may then determine a sleep stage based on a combination bodily movement and respiration variability. The determination of sleep stages may distinguish between deep sleep and other stages of sleep, or may differentiate between deep sleep, light sleep and REM sleep. The bodily movement and respiration movement signals may be derived from one or more sensors, such as non-invasive sensor (e.g., a non-contact radio-frequency motion sensor or a pressure sensitive mattress).Type: GrantFiled: September 19, 2013Date of Patent: December 3, 2019Assignee: ResMed Sensor Technologies LimitedInventors: Paul Phillips, Conor Heneghan, Trevor Murray
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Patent number: 9290092Abstract: A chain drive power take off assembly drives a hydraulic fluid pump from a torque converter input of a motor vehicle. The assembly includes a first, chain drive sprocket which is coupled to and driven by a engine output/torque converter input member such as an engine crankshaft or transmission input member, a chain and a second, driven chain sprocket which is coupled to a stub shaft and which, in turn, is coupled to an input shaft of the hydraulic pump. The driven sprocket resides in a housing secured to the side of the transmission and the pump is secured to the housing with its input shaft and axis of rotation disposed offset from and parallel to the axis of rotation of the transmission and torque converter input member.Type: GrantFiled: June 11, 2013Date of Patent: March 22, 2016Assignee: GM Global Technology Operations LLCInventors: Gregory W. Kempf, Chi Teck Lee, Greg B. Witczak, Trevor Murray
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Publication number: 20150230750Abstract: Methods and apparatus monitor health by detection of sleep stage. For example, a sleep stage monitor (100) may access sensor data signals related to bodily movement and/or respiration movements. At least a portion of the detected signals may be analyzed to calculate respiration variability. The respiration variability may include one or more of variability of respiration rate and variability of respiration amplitude. A processor may then determine a sleep stage based on one or more of respiration variability and bodily movement, such as with a combination of both. The determination of sleep stages may distinguish between deep sleep and other stages of sleep, or may differentiate between deep sleep, light sleep and REM sleep. The bodily movement and respiration movement signals may be derived from one or more sensors, such as non-invasive sensor (e.g., a non-contact radio-frequency motion sensor or a pressure sensitive mattress).Type: ApplicationFiled: September 19, 2013Publication date: August 20, 2015Applicant: ResMed Sensor Technologies LimitedInventors: Gareth McDarby, Emer O'Hare, Paul Phillips, Conor Heneghan, Trevor Murray
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Publication number: 20140360290Abstract: A chain drive power take off assembly drives a hydraulic fluid pump from a torque converter input of a motor vehicle. The assembly includes a first, chain drive sprocket which is coupled to and driven by a engine output/torque converter input member such as an engine crankshaft or transmission input member, a chain and a second, driven chain sprocket which is coupled to a stub shaft and which, in turn, is coupled to an input shaft of the hydraulic pump. The driven sprocket resides in a housing secured to the side of the transmission and the pump is secured to the housing with its input shaft and axis of rotation disposed offset from and parallel to the axis of rotation of the transmission and torque converter input member.Type: ApplicationFiled: June 11, 2013Publication date: December 11, 2014Inventors: Gregory W. Kempf, Chi Teck Lee, Greg B. Witczak, Trevor Murray
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Publication number: 20140088373Abstract: Methods and apparatus monitor health by detection of sleep stage. For example, a sleep stage monitor may access sensor data signals related to bodily movement and respiration movements. At least a portion of the detected signals may be analyzed to calculate respiration variability. The respiration variability may include variability of respiration rate or variability of respiration amplitude. A processor may then determine a sleep stage based on a combination bodily movement and respiration variability. The determination of sleep stages may distinguish between deep sleep and other stages of sleep, or may differentiate between deep sleep, light sleep and REM sleep. The bodily movement and respiration movement signals may be derived from one or more sensors, such as non-invasive sensor (e.g., a non-contact radio-frequency motion sensor or a pressure sensitive mattress).Type: ApplicationFiled: September 19, 2013Publication date: March 27, 2014Applicant: RESMED SENSOR TECHNOLOGIES LIMITEDInventors: Paul Phillips, Conor Heneghan, Trevor Murray