# US 8,784,322 B2 · Apparatus and method of sensing sleeping condition of user > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 8,784,322 B2 - Document ID: US8784322B2 - Status: Granted - Kind: B2 - Application number: 11/812,526 - Filed: 2007-06-19 - Published: 2008-01-10 - Granted: 2014-07-22 - Earliest claimed: 2006-06-20 - Assignees: Samsung Electronics Co., Ltd. - Applicants: Jong Pal Kim; Kun Soo Shin; Soo Hyun Bae; Mi Hee Lee - Inventors: Jong Pal Kim; Kun Soo Shin; Soo Hyun Bae; Mi Hee Lee - Web page: https://patentgrep.com/patent/US8784322B2 ## CPC - A61B 5/11: Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb {(A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721)} - A61B 5/33: specially adapted for cooperation with other devices - A61B 5/4809: {Sleep detection, i.e. determining whether a subject is asleep or not} - A61B 5/4812: {Detecting sleep stages or cycles} - A61B 5/4815: {Sleep quality} - A61B 5/0002: {Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network (endoradiosondes A61B5/07)} - A61B 5/02416: {using photoplethysmograph signals, e.g. generated by infrared radiation (A61B5/14552 takes precedence)} - A61B 5/0533: Measuring galvanic skin response - A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D) ## Abstract A method and apparatus for sensing a sleeping condition of a user, including measuring a physiological signal of a user who is sleeping, determining whether or not a predetermined motion artifact is contained in the measured physiological signal, and determining that the user goes into an awake state when the predetermined motion artifact is contained in the measured physiological signal. ## Claims ### Claim 1 A method of sensing a sleeping condition of a body, the method comprising: detecting a physiological signal of a body using a physiological signal measuring module; detecting a predetermined motion artifact that identifies movement of the body from the detected physiological signal; determining, using at least one processing device, whether the body has gone into an awake state based on the predetermined motion artifact being detected in the detected physiological signal; and predicting a next awake state based on a time interval of the determined awake state during a period of sleep, wherein the physiological signal is an electrocardiogram (ECG). ### Claim 2 (depends on 1) The method of claim 1, wherein the detecting of the physiological signal comprises electrically detecting the physiological signal of the body through a dry or wet type electrode which is in close contact with a skin area over a soft body tissue of the body. ### Claim 3 (depends on 1) The method of claim 1, wherein the detecting of the physiological signal comprises detecting the physiological signal of the body using an optical or radio frequency signal. ### Claim 4 (depends on 1) The method of claim 1, wherein the physiological signal comprises an electrocardiogram (ECG) signal, a photoplethysmogram (PPG) signal, or a galvanic skin response (GSR) signal. ### Claim 5 (depends on 1) The method of claim 1, wherein the detected predetermined motion artifact in the detected physiological signal, identifying the movement of the body, comprises a drift indicator of a low-frequency component signal of the detected physiological signal. ### Claim 6 A method of sensing a sleeping condition of a user, the method comprising: measuring a physiological signal of a user who is sleeping using a physiological signal measuring module; determining, using at least one processing device, whether or not a predetermined motion artifact is contained in the measured physiological signal, including extracting a low-frequency component signal from the measured physiological signal, calculating the maximum value and the minimum value of the extracted low-frequency component signal within a predetermined time interval, and determining that the motion artifact is contained in the measured physiological signal within the predetermined time interval when a difference between the maximum value and the minimum value is greater than a predetermined threshold value; determining that the user always goes into an awake state when the predetermined motion artifact is contained in the measured physiological signal; and predicting a next awake state based on a time interval of the determined awake state during a period of sleep, wherein the physiological signal is an electrocardiogram (ECG). ### Claim 7 (depends on 5) The method of claim 5, wherein the determining further comprises: extracting the low-frequency component signal from the measured physiological signal; calculating a respective gradient of the extracted low-frequency component signal within each of predetermined time intervals; and determining the awake state when a respective motion artifact is contained in the measured physiological signal within the respective predetermined time intervals when the respective gradient is greater than a predetermined threshold value. ### Claim 8 (depends on 5) The method of claim 5, wherein the determining further comprises: calculating a respective power of the low-frequency component signal corresponding to each of plural same predetermined time intervals; and determining that a respective motion artifact is contained in the detected physiological signal within the respective predetermined time intervals when the respective power of the low-frequency component signal is greater than a first predetermined threshold value. ### Claim 9 (depends on 1) The method of claim 1, wherein the predetermined motion artifact comprises high-frequency noise of the detected physiological signal. ### Claim 10 (depends on 9) The method of claim 9, wherein the determining further comprises: calculating a respective power of the high-frequency noise corresponding to each of plural same predetermined time intervals; and determining that the motion artifact is contained in the detected physiological signal within respective predetermined time intervals when the respective power of the high-frequency noise is greater than a predetermined threshold value. ### Claim 11 (depends on 1, 2, 3, 4, 5, 6, 7, 8, 9, 10) A non-transitory computer-readable recording medium storing a program used to implement the method of any one of claims 1 to 10. ### Claim 12 An apparatus for sensing a sleeping condition of a body, comprising: a physiological signal-detecting module configured to detect a physiological signal of a body using a physiological signal measuring module; a physiological signal-processing module configured to detect a predetermined motion artifact that identifies movement of the body from the detected physiological signal; and a determination module configured to determine whether the body has gone into an awake state based on the predetermined motion artifact being detected in the detected physiological signal, wherein a next awake state is predicted based on a time interval of the determined awake state during a period of sleep, and wherein the physiological signal is an electrocardiogram (ECG). ### Claim 13 (depends on 12) The apparatus of claim 12, wherein the physiological signal-detecting module electrically detects the physiological signal of the body through a dry or wet type electrode which is in close contact with a skin area over a soft body tissue of the body. ### Claim 14 (depends on 12) The apparatus of claim 12, wherein the physiological signal-detecting module detects the physiological signal of the body using an optical or radio frequency signal. ### Claim 15 (depends on 12) The apparatus of claim 12, wherein the detected predetermined motion artifact in the detected physiological signal, identifying movement of the body, comprises a drift indicator of a low-frequency component signal of the detected physiological signal. ### Claim 16 (depends on 12) The apparatus of claim 12, wherein the predetermined motion artifact comprises high-frequency noise of the detected physiological signal. ### Claim 17 (depends on 12) The apparatus of claim 12 further comprising a communication interface module for transmitting determination result data including information on a frequency of awakenings during sleep, represented by one or more detected predetermined motion artifacts, to a predetermined remote device through a wired/wireless communication network, wherein the frequency of awakenings during sleep includes a frequency of the body's moving into the awake state determined by the determination module. ### Claim 18 (depends on 17) The apparatus of claim 17, wherein the communication interface module is configured to transmit the determination result data to a cellular phone. ### Claim 19 (depends on 17) The apparatus of claim 17, wherein the communication interface module is configured to transmit the determination result data to a personal computer. ### Claim 20 (depends on 1) The method of claim 1, wherein the physiological signal indicates respective plural different sleep states, including the awake state, over multiple predetermined time intervals based on respective results of the determining of whether the body has fallen into the awake state, including corresponding results indicating that the body has not fallen into the awake state. ### Claim 21 (depends on 5) The method of claim 5, wherein the determining further comprises: extracting the low-frequency component signal from the measured physiological signal; calculating the maximum value and the minimum value of the extracted low-frequency component signal within a predetermined time interval; and determining that the motion artifact is contained in the measured physiological signal within the predetermined time interval when a difference between the maximum value and the minimum value is greater than a predetermined threshold value. ### Claim 22 (depends on 1) The method of claim 1, further comprising predicting a next sleep cycle based on a function of the detected awake state. ### Claim 23 (depends on 8) The method of claim 8, wherein the determining further comprises: calculating a respective power of the high-frequency noise corresponding to each of plural same predetermined time intervals; and determining that the motion artifact is contained in the detected physiological signal within respective predetermined time intervals when at least one of the respective power of the high-frequency noise is greater than a second predetermined threshold value and the respective power of the low-frequency noise is greater than the first predetermined threshold value. ### Claim 24 (depends on 1) The method of claim 1, wherein the predetermined motion artifact is a low-frequency drift detected in the physiological signal, such that the low-frequency drift exceeds a predetermined threshold gradient value. ### Claim 25 (depends on 6) The method of claim 6, wherein the predetermined motion artifact comprises a drift of the low-frequency component signal of the physiological signal. ### Claim 26 (depends on 12) The apparatus of claim 12, wherein the predetermined motion artifact is a low-frequency drift in the physiological signal, such that the low-frequency drift exceeds a predetermined threshold gradient value.