Systems and methods for controlling acquisition of sensor information
원문보기
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
G06F-019/10
G16H-040/63
G06F-019/00
출원번호
US-0720593
(2012-12-19)
등록번호
US-10141073
(2018-11-27)
발명자
/ 주소
Chin, Hon Wah
Hyde, Roderick A.
Petroski, Robert C.
Wood, Jr., Lowell L.
출원인 / 주소
Elwha LLC
인용정보
피인용 횟수 :
0인용 특허 :
26
초록▼
Systems and methods are described for controlling acquisition of sensor information, including: one or more physiological sensors and a computing device including a processor programmed to query the physiological sensors to measure one or more physiological parameters of an individual in response to
Systems and methods are described for controlling acquisition of sensor information, including: one or more physiological sensors and a computing device including a processor programmed to query the physiological sensors to measure one or more physiological parameters of an individual in response to at least one flag indicating a need to measure the one or more physiological parameters; receive a set of sensor values from the physiological sensors; assign a quality value to the set of sensor values received from the physiological sensors; retain the set of sensor values if the assigned quality value of the set of sensor values meets or exceeds a minimum quality value threshold; and update the at least one flag if the assigned quality value of the set of sensor values meets or exceeds the minimum quality value threshold.
대표청구항▼
1. A system, comprising: a network of remote non-contact physiological sensors separately deployed throughout a room, the remote non-contact physiological sensors including at least one microphone and at least one image-capture device configured to measure a physiological parameter of an individual;
1. A system, comprising: a network of remote non-contact physiological sensors separately deployed throughout a room, the remote non-contact physiological sensors including at least one microphone and at least one image-capture device configured to measure a physiological parameter of an individual;a motion sensor configured to measure movement of the individual relative to the network of remote non-contact physiological sensors;a light sensor configured to measure lighting in the room;a computing device operably connected to the network of remote non-contact physiological sensors, the motion sensor, and the light sensor, the computing device including a processor programmed to query the motion sensor to initiate measurement of movement of the individual relative to the network of remote non-contact physiological sensors;query the light sensor to initiate measurement of lighting in the room;receive a set of motion sensor values from the motion sensor, the set of motion sensor values representative of the movement of the individual relative to the network of remote non-contact physiological sensors;receive a set of light sensor values from the light sensor, the set of light sensor values representative of the lighting in the room;query at least one of the remote non-contact physiological sensors to remotely measure the physiological parameter of the individual to acquire a set of physiological sensor values if the set of motion sensor values and the set of light sensor values meets or exceeds a threshold value; andre-query at least one of the motion sensor or the light sensor if the set of motion sensor values or the set of light sensor values fails to meet or exceed the threshold value. 2. The system of claim 1, wherein the computing device including the processor is programmed to generate at least one flag indicating a need to measure the physiological parameter cognition state of the individual based on one or more need-measurement criteria. 3. The system of claim 2, wherein the one or more need-measurement criteria includes a number of physiological sensor values needed over time for a reliable diagnosis. 4. The system of claim 2, wherein the one or more need-measurement criteria includes a number of physiological sensor values with assigned quality values that meet a minimum quality value threshold. 5. The system of claim 2, wherein the one or more need-measurement criteria are part of a monitoring schedule. 6. The system of claim 2, wherein the computing device is programmed to query the motion sensor to initiate measurement of the movement of the individual relative to the remote non-contact physiological sensors in response to the flag indicating the need to measure the physiological parameter of the individual based on the one or more need-measurement criteria. 7. The system of claim 2, wherein the computing device is programmed to query the light sensor to initiate measurement of the lighting in the room in response to the flag indicating the need to measure the physiological parameter of the individual based on the one or more need-measurement criteria. 8. The system of claim 2, wherein the one or more need-measurement criteria includes at least one of a time of day and an interval of time since a previous measurement. 9. The system of claim 2, wherein the one or more need-measurement criteria includes a health status of the individual. 10. The system of claim 1, wherein at least one of the remote non-contact physiological sensors includes a transmission unit with at least one antenna, the transmission unit configured to communicate wirelessly with the computing device. 11. The system of claim 1, wherein the computing device is programmed to query the at least one of the remote non-contact physiological sensors in at least one of a time dependent manner or a sensor-type dependent manner. 12. The system of claim 1, wherein the computing device is programmed to query the at least one of the remote non-contact physiological sensors based on a number of previous queries to the at least one of the remote non-contact physiological sensors. 13. The system of claim 1, wherein the computing device is programmed to query the at least one of the remote non-contact physiological sensors based on an assigned quality value of a previously received set of physiological sensor values. 14. The system of claim 1, wherein the computing device is programmed to query the at least one of the remote non-contact physiological sensors based on at least one of a health status of the individual or identity of the individual. 15. The system of claim 1, wherein the physiological parameter of the individual includes a include one or more physiological parameter of the individual diagnostic for heart failure including one or more of tissue swelling, respiratory sounds, activity level, and autonomic balance. 16. The system of claim 1, wherein the computing device is programmed to assign a quality value to the acquired set of physiological sensor values by comparing the acquired set of physiological sensor values with a set of standard values. 17. The system of claim 16, wherein the set of standard values includes at least one of a set of standard values with defined signal-to-noise ratio, a set of standard values representing a relevant range of values for a specific physiological parameter, or a set of standard values specific for a physiological sensor type. 18. The system of claim 1, wherein the computing device including the processor is further programmed to report the acquired set of physiological sensor values to a user. 19. The system of claim 1, wherein the network of remote non-contact physiological sensors include a network of unobtrusive remote non-contact physiological sensors located in a residential space and in wireless communication with the computing device. 20. The system of claim 1, wherein the computing device including the processor is programmed to receive the acquired set of physiological sensor values from the at least one of the remote non-contact physiological sensors, the acquired set of physiological sensor values representative of the remotely measured physiological parameter of the individual;assign a quality value to the acquired set of physiological sensor values received from the at least one of the remote non-contact physiological sensors;retain the acquired set of physiological sensor values if the assigned quality value of the acquired set of physiological sensor values meets or exceeds a minimum quality value threshold; andupdate at least one flag indicating a need to measure the physiological parameter of the individual if the assigned quality value of the acquired set of physiological sensor values meets or exceeds the minimum quality value threshold. 21. The system of claim 20, wherein the computing device including the processor is further programmed to re-query at least one of the remote non-contact physiological sensors to acquire an updated set of physiological sensor values if the assigned quality value of the acquired set of physiological sensor values fails to meet or exceed the minimum quality value threshold. 22. The system of claim 1, wherein the computing device is programmed to query the motion sensor and the light sensor in response to a triggering event. 23. The system of claim 1, wherein the threshold value for the set of motion sensor values is represented by a movement or lack of movement of the individual relative to the remote non-contact physiological sensors sufficient to acquire a set of physiological sensor values from the network of remote non-contact physiological sensors. 24. The system of claim 1, wherein the threshold value for the set of light sensor values is represented by a quantity of light sufficient to acquire a set of physiological sensor values from the network of remote non-contact physiological sensors. 25. The system of claim 1, wherein the computing device is programmed to query the at least one of the remote non-contact physiological sensors to measure the physiological parameter of the individual if at least one of the set of motion sensor values and the set of light sensor values meets or exceeds the threshold value and at least one flag indicating a need to measure the physiological parameter of the individual is active based on one or more need-measurement criteria. 26. A method for controlling acquisition of information from a network of remote non-contact physiological sensors deployed throughout a room comprising: generating at least one flag indicating a need to measure a physiological parameter of an individual based on one or more need-measurement criteria;querying a motion sensor in response to the at least one flag to initiate measurement of movement of the individual relative to the network of remote non-contact physiological sensors;querying a light sensor in response to the at least one flag to initiate measurement of lighting in the room;receiving a set of motion sensor values from the motion sensor, the set of motion sensor values representative of the movement of the individual relative to the network of remote non-contact physiological sensors;receiving a set of light sensor values from the light sensor, the set of light sensor values representative of the lighting in the room;querying at least one of the remote non-contact physiological sensors to remotely measure the physiological parameter of the individual if the set of motion sensor values and the set of light sensor values meets or exceeds a threshold value; andre-querying at least one of the motion sensor or the light sensor if the set of motion sensor values or the set of light sensor values fails to meet or exceed the threshold value. 27. The method of claim 26, wherein the one or more need-measurement criteria include at least one of a time of day or a health status of the individual. 28. The method of claim 26, wherein the one or more need-measurement criteria include at least one of a number of physiological sensor values needed over time for a reliable diagnosis or a number of physiological sensor values with assigned quality values that meet or exceed a minimum quality value threshold. 29. The method of claim 26, wherein the one or more need-measurement criteria are part of a monitoring schedule. 30. The method of claim 26, wherein querying the at least one of the remote non-contact physiological sensors includes querying the at least one of the remote non-contact physiological sensors through one or more wireless transmissions. 31. The method of claim 26, wherein querying the at least one of the remote non-contact physiological sensors includes querying the at least one of the remote non-contact physiological sensors in at least one of a time dependent manner or a sensor-type dependent manner. 32. The method of claim 26, wherein querying the at least one of the remote non-contact physiological sensors includes querying the at least one of the remote non-contact physiological sensors based on a number of previous queries to the at least one of the remote non-contact physiological sensors. 33. The method of claim 26, wherein querying the at least one of the remote non-contact physiological sensors includes querying the at least one of the remote non-contact physiological sensors based on an assigned quality value of a previously received set of sensor values. 34. The method of claim 26, wherein querying the at least one of the remote non-contact physiological sensors includes querying the at least one of the remote non-contact physiological sensors based on at least one of a health status of the individual or identity of the individual. 35. The method of claim 26, wherein receiving the set of physiological sensor values from the at least one of the remote non-contact physiological sensors includes receiving the set of physiological sensor values through one or more wireless transmissions. 36. The method of claim 26, further comprising: receiving a set of physiological sensor values from the at least one of the remote non-contact physiological sensors, the set of physiological sensor values representative of the remotely measured physiological parameter of the individual;assigning a quality value to the set of physiological sensor values received from the at least one of the remote non-contact physiological sensors;retaining the set of physiological sensor values if the assigned quality value of the set of physiological sensor values meets or exceeds a minimum quality value threshold; andupdating the at least one flag if the assigned quality value of the set of physiological sensor values meets or exceeds the minimum quality value threshold. 37. The method of claim 36, further comprising: re-querying the at least one of the remote non-contact physiological sensors to acquire an updated set of physiological sensor values representative of the remotely measured physiological parameter of the individual if the assigned quality value of the set of physiological sensor values fails to meet or exceed the minimum quality value threshold. 38. The method of claim 36, wherein assigning the quality value to the set of physiological sensor values includes assigning the quality value based on comparing the set of physiological sensor values with a set of standard values. 39. The method of claim 36, further comprising: reporting the set of physiological sensor values to a user. 40. The method of claim 26, wherein querying the motion sensor and the light sensor in response to the at least one flag indicating a need to measure the physiological parameter of the individual comprises querying the motion sensor and the light sensor in response to at least one of a time of day, an interval of time since a previous measurement, and a health status of the individual.
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