Patent Application
20220031233
This application is based on and claims priority under 35 U.S.C. § 119 to Korean Patent Application No. 10-2020-0096388, filed on Jul. 31, 2020, in the Korean Intellectual Property Office, the disclosure of which is incorporated by reference herein in its entirety.
The disclosure relates to electronic devices for evaluating sleep quality and methods for operation in the same.
Recent electronic devices come in various form factors for user convenience purposes and in reduced size for easy carrying.
Interest in health is increasing, and so is interest in exercise for keeping healthy. Electronic devices have been developed to measure and utilize various biometric signals. Electronic devices may check the body condition by measuring various biometric signals and provide a diversity of healthcare services.
A human being sleeps for a third of his or her life. Insufficient sleep may lead to poor concentration and memory loss, and prolonged sleeplessness may cause emotional instability and hallucinations. As such, sleep plays a very important role for a healthy life, and thus needs to be managed.
To determine the cause of sleep disturbance, there is a palliative polysomnography test. This method diagnoses sleep disorders by measuring various biometric signals generated during sleep, such as brain waves, electrooculogram (EOG), electromyogram (EMG), electrocardiogram (ECG), respiration, and oxygen saturation. The polysomnography test is conducted in a separate sleep test room rather than the place where the user usually sleeps.
However, sleep may be easily affected by cognitive and environmental changes. Thus, if the user sleeps in a different place from her usual sleep environment, the sleep time or efficiency may be varied, and thus, correct assessment for sleep may be limited.
In some cases, a patient with a sleep disorder may have difficulty in receiving a sleep test in a test room or, for environmental reasons or to patients of a specific age group, recording sleep habits may be bothering, causing it difficult to perform the test.
Therefore, there is an increasing need for a more convenient tool for evaluating patients for the presence or absence of sleep disorders.
Embodiments of the disclosure provide an electronic device and method for operating the electronic device that may evaluate the quality of sleep by analyzing the sleep state of a user during sleep based on sleep-related information generated during sleep by an electronic device wearable on the user.
In accordance with an example embodiment, an electronic device comprises: a sensor module including at least one sensor, a memory, and at least one processor. The at least one processor may be configured to: obtain, from an external electronic device, sleep-related information detected by the external electronic device while a user is sleeping, analyze a sleep state of the user based on the sleep-related information, identify at least one sleep cycle based on sleep state information obtained by analysis of the sleep state, evaluate a sleep quality corresponding to a first sleep cycle among at least one sleep cycle based on the sleep state information and designated condition information, obtain result information based on the evaluation of the sleep quality, and store the result information in the memory.
In accordance with an example embodiment, a method for operating an electronic device may comprise: obtaining, from an external electronic device, sleep-related information detected by the external electronic device while a user is sleeping, analyzing a sleep state of the user based on the sleep-related information, identifying at least one sleep cycle based on sleep state information obtained by analysis of the sleep state, evaluating a sleep quality corresponding to a first sleep cycle among at least one sleep cycle based on the sleep state information and designated condition information, obtaining result information based on the evaluation of the sleep quality, and storing the result information in a memory of the electronic device.
In accordance with an example embodiment, a non-transitory computer-readable recording medium storing a program which, when executed by a processor of an electronic device, causes the electronic device to: obtain , from an external electronic device, sleep-related information detected by the external electronic device while a user is sleeping, analyze a sleep state of the user based on the sleep-related information, identify at least one sleep cycle based on sleep state information obtained by analysis of the sleep state, evaluate a sleep quality corresponding to a first sleep cycle among at least one sleep cycle based on the sleep state information and designated condition information, obtain result information based on the evaluation of the sleep quality, and store the result information in a memory of the electronic device.
The above and other aspects, features and advantages of certain embodiments of the present disclosure will be more apparent from the following detailed description, taken in conjunction with the accompanying drawings, in which:
The same or similar reference numerals may be used to refer to the same or similar elements throughout the specification and the drawings.
Various example embodiments of the disclosure will be described below with reference to the accompanying drawings. As used herein, the term “user” may denote a human or another device using the electronic device.
The processor 120 may execute, for example, software (e.g., a program 140) to control at least one other component (e.g., a hardware or software component) of the electronic device 101 coupled with the processor 120, and may perform various data processing or computation. According to an embodiment, as at least part of the data processing or computation, the processor 120 may store a command or data received from another component (e.g., the sensor module 176 or the communication module 190) in volatile memory 132, process the command or the data stored in the volatile memory 132, and store resulting data in non-volatile memory 134. According to an embodiment, the processor 120 may include a main processor 121 (e.g., a central processing unit (CPU) or an application processor (AP)), or an auxiliary processor 123 (e.g., a graphics processing unit (GPU), a neural processing unit (NPU), an image signal processor (ISP), a sensor hub processor, or a communication processor (CP)) that is operable independently from, or in conjunction with, the main processor 121. For example, when the electronic device 101 includes the main processor 121 and the auxiliary processor 123, the auxiliary processor 123 may be configured to use lower power than the main processor 121 or to be specified for a designated function. The auxiliary processor 123 may be implemented as separate from, or as part of the main processor 121.
The auxiliary processor 123 may control at least some of functions or states related to at least one component (e.g., the display module 160, the sensor module 176, or the communication module 190) among the components of the electronic device 101, instead of the main processor 121 while the main processor 121 is in an inactive (e.g., sleep) state, or together with the main processor 121 while the main processor 121 is in an active state (e.g., executing an application). According to an embodiment, the auxiliary processor 123 (e.g., an image signal processor or a communication processor) may be implemented as part of another component (e.g., the camera module 180 or the communication module 190) functionally related to the auxiliary processor 123. According to an embodiment, the auxiliary processor 123 (e.g., the neural processing unit) may include a hardware structure specified for artificial intelligence model processing. The artificial intelligence model may be generated via machine learning. Such learning may be performed, e.g., by the electronic device 101 where the artificial intelligence is performed or via a separate server (e.g., the server 108). Learning algorithms may include, but are not limited to, e.g., supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning. The artificial intelligence model may include a plurality of artificial neural network layers. The artificial neural network may be a deep neural network (DNN), a convolutional neural network (CNN), a recurrent neural network (RNN), a restricted Boltzmann machine (RBM), a deep belief network (DBN), a bidirectional recurrent deep neural network (BRDNN), deep Q-network or a combination of two or more thereof but is not limited thereto. The artificial intelligence model may, additionally or alternatively, include a software structure other than the hardware structure.
The memory 130 may store various data used by at least one component (e.g., the processor 120 or the sensor module 176) of the electronic device 101. The various data may include, for example, software (e.g., the program 140) and input data or output data for a command related thereto. The memory 130 may include the volatile memory 132 or the non-volatile memory 134.
The program 140 may be stored in the memory 130 as software, and may include, for example, an operating system (OS) 142, middleware 144, or an application 146.
The input module 150 may receive a command or data to be used by other component (e.g., the processor 120) of the electronic device 101, from the outside (e.g., a user) of the electronic device 101. The input module 150 may include, for example, a microphone, a mouse, a keyboard, keys (e.g., buttons), or a digital pen (e.g., a stylus pen).
The sound output module 155 may output sound signals to the outside of the electronic device 101. The sound output module 155 may include, for example, a speaker or a receiver. The speaker may be used for general purposes, such as playing multimedia or playing record. The receiver may be used for receiving incoming calls. According to an embodiment, the receiver may be implemented as separate from, or as part of the speaker.
The display module 160 may visually provide information to the outside (e.g., a user) of the electronic device 101. The display 160 may include, for example, a display, a hologram device, or a projector and control circuitry to control a corresponding one of the display, hologram device, and projector. According to an embodiment, the display 160 may include a touch sensor configured to detect a touch, or a pressure sensor configured to measure the intensity of a force generated by the touch.
The audio module 170 may convert a sound into an electrical signal and vice versa. According to an embodiment, the audio module 170 may obtain the sound via the input module 150, or output the sound via the sound output module 155 or a headphone of an external electronic device (e.g., an electronic device 102) directly (e.g., wiredly) or wirelessly coupled with the electronic device 101.
The sensor module 176 may detect an operational state (e.g., power or temperature) of the electronic device 101 or an environmental state (e.g., a state of a user) external to the electronic device 101, and then generate an electrical signal or data value corresponding to the detected state. According to an embodiment, the sensor module 176 may include, for example, a gesture sensor, a gyro sensor, an atmospheric pressure sensor, a magnetic sensor, an acceleration sensor, a grip sensor, a proximity sensor, a color sensor, an infrared (IR) sensor, a biometric sensor, a temperature sensor, a humidity sensor, or an illuminance sensor.
The interface 177 may support one or more specified protocols to be used for the electronic device 101 to be coupled with the external electronic device (e.g., the electronic device 102) directly (e.g., wiredly) or wirelessly. According to an embodiment, the interface 177 may include, for example, a high definition multimedia interface (HDMI), a universal serial bus (USB) interface, a secure digital (SD) card interface, or an audio interface.
A connecting terminal 178 may include a connector via which the electronic device 101 may be physically connected with the external electronic device (e.g., the electronic device 102). According to an embodiment, the connecting terminal 178 may include, for example, a HDMI connector, a USB connector, a SD card connector, or an audio connector (e.g., a headphone connector).
The haptic module 179 may convert an electrical signal into a mechanical stimulus (e.g., a vibration or motion) or electrical stimulus which may be recognized by a user via his tactile sensation or kinesthetic sensation. According to an embodiment, the haptic module 179 may include, for example, a motor, a piezoelectric element, or an electric stimulator.
The camera module 180 may capture a still image or moving images. According to an embodiment, the camera module 180 may include one or more lenses, image sensors, image signal processors, or flashes.
The power management module 188 may manage power supplied to the electronic device 101. According to an embodiment, the power management module 188 may be implemented as at least part of, for example, a power management integrated circuit (PMIC).
The battery 189 may supply power to at least one component of the electronic device 101. According to an embodiment, the battery 189 may include, for example, a primary cell which is not rechargeable, a secondary cell which is rechargeable, or a fuel cell.
The communication module 190 may support establishing a direct (e.g., wired) communication channel or a wireless communication channel between the electronic device 101 and the external electronic device (e.g., the electronic device 102, the electronic device 104, or the server 108) and performing communication via the established communication channel. The communication module 190 may include one or more communication processors that are operable independently from the processor 120 (e.g., the application processor (AP)) and supports a direct (e.g., wired) communication or a wireless communication. According to an embodiment, the communication module 190 may include a wireless communication module 192 (e.g., a cellular communication module, a short-range wireless communication module, or a global navigation satellite system (GNSS) communication module) or a wired communication module 194 (e.g., a local area network (LAN) communication module or a power line communication (PLC) module). A corresponding one of these communication modules may communicate with the external electronic device 104 via a first network 198 (e.g., a short-range communication network, such as Bluetooth™, wireless-fidelity (Wi-Fi) direct, or infrared data association (IrDA)) or a second network 199 (e.g., a long-range communication network, such as a legacy cellular network, a 5G network, a next-generation communication network, the Internet, or a computer network (e.g., local area network (LAN) or wide area network (WAN)). These various types of communication modules may be implemented as a single component (e.g., a single chip), or may be implemented as multi components (e.g., multi chips) separate from each other. The wireless communication module 192 may identify or authenticate the electronic device 101 in a communication network, such as the first network 198 or the second network 199, using subscriber information (e.g., international mobile subscriber identity (IMSI)) stored in the subscriber identification module 196.
The wireless communication module 192 may support a 5G network, after a 4G network, and next-generation communication technology, e.g., new radio (NR) access technology. The NR access technology may support enhanced mobile broadband (eMBB), massive machine type communications (mMTC), or ultra-reliable and low-latency communications (URLLC). The wireless communication module 192 may support a high-frequency band (e.g., the mmWave band) to achieve, e.g., a high data transmission rate. The wireless communication module 192 may support various technologies for securing performance on a high-frequency band, such as, e.g., beamforming, massive multiple-input and multiple-output (massive MIMO), full dimensional MIMO (FD-MIMO), array antenna, analog beam-forming, or large scale antenna. The wireless communication module 192 may support various requirements specified in the electronic device 101, an external electronic device (e.g., the electronic device 104), or a network system (e.g., the second network 199). According to an embodiment, the wireless communication module 192 may support a peak data rate (e.g., 20 Gbps or more) for implementing eMBB, loss coverage (e.g., 164 dB or less) for implementing mMTC, or U-plane latency (e.g., 0.5 ms or less for each of downlink (DL) and uplink (UL), or a round trip of 1 ms or less) for implementing URLLC.
The antenna module 197 may transmit or receive a signal or power to or from the outside (e.g., the external electronic device). According to an embodiment, the antenna module 197 may include one antenna including a radiator formed of a conductor or conductive pattern formed on a substrate (e.g., a printed circuit board (PCB)). According to an embodiment, the antenna module 197 may include a plurality of antennas (e.g., an antenna array). In this case, at least one antenna appropriate for a communication scheme used in a communication network, such as the first network 198 or the second network 199, may be selected from the plurality of antennas by, e.g., the communication module 190. The signal or the power may then be transmitted or received between the communication module 190 and the external electronic device via the selected at least one antenna. According to an embodiment, other parts (e.g., radio frequency integrated circuit (RFIC)) than the radiator may be further formed as part of the antenna module 197.
According to various embodiments, the antenna module 197 may form a mmWave antenna module. According to an embodiment, the mmWave antenna module may include a printed circuit board, a RFIC disposed on a first surface (e.g., the bottom surface) of the printed circuit board, or adjacent to the first surface and capable of supporting a designated high-frequency band (e.g., the mmWave band), and a plurality of antennas (e.g., array antennas) disposed on a second surface (e.g., the top or a side surface) of the printed circuit board, or adjacent to the second surface and capable of transmitting or receiving signals of the designated high-frequency band.
At least some of the above-described components may be coupled mutually and communicate signals (e.g., commands or data) therebetween via an inter-peripheral communication scheme (e.g., a bus, general purpose input and output (GPIO), serial peripheral interface (SPI), or mobile industry processor interface (MIPI)).
According to an embodiment, instructions or data may be transmitted or received between the electronic device 101 and the external electronic device 104 via the server 108 coupled with the second network 199. The external electronic devices 102 or 104 each may be a device of the same or a different type from the electronic device 101. According to an embodiment, all or some of operations to be executed at the electronic device 101 may be executed at one or more of the external electronic devices 102, 104, or 108. For example, if the electronic device 101 should perform a function or a service automatically, or in response to a request from a user or another device, the electronic device 101, instead of, or in addition to, executing the function or the service, may request the one or more external electronic devices to perform at least part of the function or the service. The one or more external electronic devices receiving the request may perform the at least part of the function or the service requested, or an additional function or an additional service related to the request, and transfer an outcome of the performing to the electronic device 101. The electronic device 101 may provide the outcome, with or without further processing of the outcome, as at least part of a reply to the request. To that end, a cloud computing, distributed computing, mobile edge computing (MEC), or client-server computing technology may be used, for example. The electronic device 101 may provide ultra-low-latency services using, e.g., distributed computing or mobile edge computing. In an embodiment, the external electronic device 104 may include an internet-of-things (IoT) device. The server 108 may be an intelligent server using machine learning and/or a neural network. According to an embodiment, the external electronic device 104 or the server 108 may be included in the second network 199. The electronic device 101 may be applied to intelligent services (e.g., smart home, smart city, smart car, or health-care) based on 5G communication technology or IoT-related technology.
Referring to
According to an embodiment, the processor 210 (e.g., the processor 120 of
According to an embodiment, the processor 210 may obtain movement information for the user before the user goes to sleep and automatically detect whether the user falls asleep (e.g., sleep onset) based on the obtained movement information. The processor 210 may automatically detect whether the user wakes up (e.g., sleep offset) based on the user's movement information obtained while the user is sleeping.
According to an embodiment, the processor 210 may analyze the user's sleep state based on the obtained sleep-related information and may obtain sleep state information by analyzing the sleep state. Sleep state information may include, for example, and without limitation, sleep onset and sleep offset times, total sleep time (e.g. the user's total sleep duration during the night), information related to sleep stages (e.g. sleep curve (hypnogram) and/or sleep time per sleep phase), and information related to at least one sleep cycle. The sleep stages may be divided into, for example, and without limitation, a first sleep stage (awake stage) indicating awake during sleep, a second sleep stage indicating light non-rapid-eye-movement (REM) sleep, a third sleep stage indicating deep non-REM sleep, and a fourth sleep stage (slow wave sleep stage) indicating rapid-eye-movement (REM) sleep. The processor 210 may analyze changes in sleep stages corresponding to changes in the sleep state during the user's sleep and generate a sleep curve based on the user's sleep based on the obtained sleep state information so as to identify the analyzed changes in sleep stages. The processor 210 may identify at least one sleep cycle for the user's sleep based on the obtained sleep state information. For example, the processor 210 may analyze the generated sleep curve (hypnogram) to identify at least one sleep cycle and obtain information related to the at least one sleep cycle identified. As the information related to the at least one sleep cycle, the processor 210 may identify, e.g., the number of sleep cycles and/or the time of each sleep cycle for the total sleep time.
According to an embodiment, the processor 210 may evaluate the sleep quality corresponding to at least one sleep cycle based on the sleep state information and designated condition information. The designated condition information may include, for example, information in the form of a table including designated evaluation conditions. The designated condition information may be set by the electronic device 201 and previously stored in the memory 220 or may be received from an external electronic device upon request and previously stored in the memory 220. The designated condition information may include evaluation conditions set based, for example, and without limitation, on information related to the third sleep stage (deep), the total sleep time and the number of sleep cycles, and information related to the first sleep stage (wake) and movement. The evaluation conditions may include, for example, at least one of the time of the third sleep stage in a first sleep cycle, the rate of the third sleep stage in the total sleep time, the number of sleep cycles in the total sleep time, the total sleep time, the time of the first sleep cycle, the awake time in the first sleep stage, the time of movement after sleep onset (e.g., awake after sleep onset (WASO)) in the first sleep stage, the rate of the movement after sleep onset (WASO) in the total sleep time, the awake time in the first sleep cycle, or the awake rate in the total sleep time. The evaluation conditions may include reference elements to which designated scores are mapped.
According to an embodiment, the processor 210 may obtain evaluation values analyzed for the evaluation conditions from the sleep state information and compare the obtained evaluation values with the reference elements included in the designated evaluation conditions, thereby obtaining the score for each of the evaluation values. The processor 210 may calculate a sleep score as result information for the sleep quality evaluation by using the obtained scores.
According to an embodiment, the processor 210 may obtain and store the result information based on the sleep quality evaluation in the memory 220 and control the display 250 to display the result information according to the sleep quality evaluation. The result information may include, for example, and without limitation, at least one of the sleep score, sleep state information, information related to the sleep stages, and/or information related to the sleep cycles. The processor 210 may control the display 250 to display history information including the result information previously obtained according to the user's sleep quality evaluation.
According to an embodiment, the processor 210 may identify whether the user's sleep starts (sleep onset) based on the user's movement information included in the sleep-related information. If a number times of the user's movement (e.g., a number of epoch of the user's movement) during a predetermined time is determined less than a designated threshold number of times (e.g., the designated threshold number of times is three times), the processor 210 may confirm the sleep onset. When the sleep onset is confirmed, the processor 210 may obtain sleep-related information during the user's sleep time. The processor 210 may identify whether the user's sleep ends (wake-up) based on the user's movement information included in the sleep-related information obtained during the sleep time. For example, whether sleep ends may be automatically detected using a sleep offset detection algorithm. The processor 210 may confirm the sleep offset when the user's movement is detected a designated threshold number of times (e.g., the designated threshold number of times is three times) or more and gradually increases for a predetermined time. When the sleep offset is confirmed, the processor 210 may automatically detect the start of sleep of the user using a sleep onset detection algorithm.
According to an embodiment of the disclosure, the processor 210, which may be a hardware module or software module (e.g., an application program), may be a hardware component (function) or software component (program) including at least one of various sensors, data measuring module, input/output interface, a module for managing the state or environment of the electronic device 201, or communication module as included in the electronic device 201.
According to an embodiment, the processor 210 may include, e.g., a hardware module, a software module, a firmware module, or a combination of two or more thereof. The processor 210 may lack at least some of the components or may include other components for performing an image processing operation in addition to the components.
According to an embodiment, the memory 220 (e.g., the memory 130 of
According to an embodiment, the memory 220 may store various data generated during execution of the program 140, as well as a program (e.g., the program 140 of
According to an embodiment, the sensor module 230 (e.g., the sensor module 176 of
According to an embodiment, the communication module 240 (e.g., the communication module 190 of
According to an embodiment, the display 250 (e.g., the display module 160 of FIG. 1) may display an execution screen of an application related to the user's sleep quality evaluation. The processor 250 may display result information according to the user's sleep quality evaluation. The display 250 may display history information including result information previously obtained according to the user's sleep quality evaluation.
According to an embodiment, the display 250 may be implemented as a touchscreen display. The display 250, when implemented together with an input module in the form of a touchscreen display, may display various information generated according to the user's touch. According to an embodiment, the display 250 may include, for example, and without limitation, at least one of a liquid crystal display (LCD), a thin film transistor LCD (TFT-LCD), an organic light emitting diode (OLED) display, a light emitting diode (LED) display, an active matrix organic LED (AMOLED) display, a flexible display, or a three-dimensional display. Some of the displays may be configured in a transparent type or light-transmissive type allowing the outside to be viewed therethrough. The display 250 may be configured in the form of a transparent display including a transparent OLED (TOLED) display. According to an embodiment, in addition to the display 250, another mounted display module (e.g., an extended display or a flexible display) may be further included.
According to an embodiment, the electrode module 260 may include at least one electrode contacting the human body. The electrode module 260 may include at least three or more electrodes. For example, the electrode module 260 may obtain electrocardiogram (ECG) information from the user's body using three electrodes. As another example, the electrode module 260 may obtain bioelectrical impedance analysis (BIA) from the user's body using four electrodes. According to an embodiment, the electronic device 201 may further include an audio module (not shown) (e.g., the audio module 170 of
Various components of the electronic device 201 have been described above in connection with
Referring to
Referring to
Referring to
According to an embodiment, the electronic device 201 may be configured in various shapes other than those illustrated in
According to an example embodiment, an electronic device (e.g., the electronic device 101 of
According to an example embodiment, the electronic device may further comprise a display. The at least one processor may be configured to control the display to display the result information based on the evaluation of the sleep quality.
According to an example embodiment, the first sleep cycle may be a sleep cycle identified after the user's sleep onset is identified. The sleep-related information may include movement information for the user detected during sleep and biometric information detected during sleep. The biometric information may include heart rate information and heart rate variability information.
According to an example embodiment, the sleep state information may include a total sleep time, sleep stage-related information, or information related to the at least one sleep cycle. The sleep stage-related information may include a first sleep stage indicating an awakening during sleep, a second sleep stage indicating light non-rapid-eye-movement (REM) sleep, a third sleep stage indicating deep non-REM sleep, and a fourth sleep stage indicating REM sleep.
According to an example embodiment, the designated condition information may include designated evaluation conditions including a table stored in the memory. The evaluation conditions may include at least one of a time of a third sleep stage in a first sleep cycle, a rate of the third sleep stage in a total sleep time, a number of sleep cycles in the total sleep time, the total sleep time, a time of the first sleep cycle, an awake time in a first sleep stage, a time of movement after sleep onset (WASO) in the first sleep stage, a rate of the movement after sleep onset (WASO) in the total sleep time, an awake time in the first sleep cycle, or an awake rate in the total sleep time.
According to an example embodiment, each of the evaluation conditions may include reference elements to which designated scores are mapped. The at least one processor may be configured to: obtain evaluation values for evaluating the sleep quality, individually corresponding to the evaluation conditions, from the sleep state information, obtain scores of the evaluation values based on the reference elements included in each evaluation condition, and calculate a sleep score, as the result information, using the obtained scores.
According to an example embodiment, the result information may include at least one of a sleep score, the analyzed sleep state information, history information for the sleep, sleep stage-related information, and sleep cycle-related information.
According to an example embodiment, the at least one processor may be configured to: receive the sleep-related information from an external electronic device through the communication module, and transmit the result information to the external electronic device through the communication module.
According to an example embodiment, the at least one processor may be configured to: identify the user's sleep onset based on the user's movement information, obtain the user's movement information during the user's sleep time based on the sleep onset being confirmed after a designated time, identify the user's sleep offset based on the user's movement information obtained during the sleep time, and evaluate the sleep quality based on the sleep offset being confirmed after a designated time.
According to an example embodiment, the at least one processor may be configured to identify a next sleep onset based on the user's movement information obtained during the user's wake-up time based on the sleep offset being confirmed after the designated time.
Referring to
In operation 403, the electronic device may analyze the user's sleep state based on the obtained sleep-related information and may obtain sleep state information by analyzing the sleep state. Sleep state information may include, for example, and without limitation, sleep onset and sleep offset times, total sleep time (e.g. the user's total sleep duration during the night), information related to sleep stages (e.g. sleep curve (hypnogram) and/or sleep time per sleep phase), and information related to at least one sleep cycle. The sleep stages may, for example, be divided into a first sleep stage (awake), a second sleep stage (light, non-REM (N1 and N2)), a third sleep stage (deep, non-REM (N3)), and a fourth sleep stage (REM) as illustrated in
Upon analyzing the user's sleep state in operation 403, the electronic device may classify the sleep stages according to the user's sleep based on the user's movement information and biometric information (e.g., heart rate (HR) information and/or heart rate variability (HRV) information) detected using at least one sensor. For example, the electronic device may calculate a heart rate variability (HRV) measurement value based on an electrocardiogram (ECG) and may obtain a heart rate variability (HRV) result value by frequency tracking so as to estimate heart rate variability. The electronic device may obtain sleep state information by analyzing changes in the classified sleep stages. In normal sleep, non-REM sleep, such as in the second and third sleep stages, occurs, and REM sleep may then occur.
In operation 405, the electronic device may identify at least one sleep cycle based on the changes in the classified sleep stages. For example, the electronic device may identify at least one sleep cycle for the total sleep time according to the user's sleep state analysis and obtain information related to the identified at least one sleep cycle. As the information related to the at least one sleep cycle, the electronic device may identify at least one of, e.g., the number of sleep cycles or the time of each sleep cycle for the total sleep time. In operation 405, as illustrated in
In operation 407, the electronic device may evaluate the sleep quality corresponding to at least one sleep cycle based on the sleep state information and designated condition information. The designated condition information is information in the form of a table including designated evaluation conditions. The designated condition information may be set by the electronic device and previously stored in the memory or may be received from an external electronic device up on request and previously stored in the memory. The designated condition information may include evaluation conditions set based on information related to the third sleep stage (deep), the total sleep time and the number of sleep cycles, and information related to the first sleep stage (wake) and movement. The evaluation conditions may include at least one of the time of the third sleep stage in a first sleep cycle, the rate of the third sleep stage in the total sleep time, the number of sleep cycles in the total sleep time, the total sleep time, the time of the first sleep cycle, the awake time in the first sleep stage, the time of movement after sleep onset (WASO) in the first sleep stage, the rate of the movement after sleep onset (WASO) in the total sleep time, the awake time in the first sleep cycle, or the awake rate in the total sleep time. The evaluation conditions may include reference elements to which designated scores are mapped.
According to an embodiment, the processor 210 may obtain evaluation condition values for the user's sleep, individually corresponding to the evaluation conditions, from the sleep state information, obtain the scores of the evaluation condition values obtained based on the reference elements included in the evaluation conditions, and calculate the sleep score, as the result information, using the obtained scores.
In operation 409, the electronic device may display the result information according to the sleep quality evaluation on a display (e.g., the display module 160 of
Referring to
Graph 1601 of
Referring to
Referring to
In operation 703, the electronic device may determine whether the user's sleep starts (e.g., sleep onset) based on movement information included in the obtained sleep-related information. As a result of the identification, when the user's sleep onset is identified (“Yes” in operation 703), the electronic device may perform operation 705, otherwise (“No” in operation 703), operation 701. For example, as illustrated in
In operation 707, the electronic device may determine whether the user wakes up (e.g., sleep offset) based on the user's movement information included in the sleep-related information obtained while the user is sleeping. As a result of the identification, when the user's sleep offset is identified (“Yes” in operation 707), the electronic device may perform operation 709, otherwise (“No” in operation 707), operation 705. For example, as illustrated in
In operation 709, the electronic device may perform an operation for evaluating the sleep quality corresponding to at least one sleep cycle based on the sleep state information and designated condition information. The electronic device may calculate a sleep score, as the result information, by comparing the sleep state information and the designated condition information.
In operation 711, the electronic device may display the result information according to the sleep quality evaluation on a display (e.g., the display module 160 of
According to an embodiment, an electronic device (e.g., the electronic device 101 of
Referring to
Each of the evaluation conditions included in the designated condition information may include reference elements to which designated scores are mapped. The first evaluation condition 901 may include reference elements in which scores (e.g., −10, 10, 15, and 20) are mapped to reference times (e.g., 0 to 5 min, 5 to 30 min, 30 to 50 min, and 50 min or more), respectively, during which the third sleep state (deep sleep) is maintained in the first sleep cycle (e.g., 90 minutes). The second evaluation condition 902 may include reference elements in which scores (e.g., 0, 5, 10, and 15) are mapped to reference rates (e.g., 0 to 5%, 5 to 10%, 10 to 14%, and 15% or more), respectively, of occurrences of the third sleep stage in the total sleep time. The third evaluation condition 903 may include reference elements in which scores (e.g., −10, 5, 7.5, 10, 5, and −10) are mapped to the reference numbers (0 to 2, 3, 4, 5, 6, and 7 cycles or more), respectively, of sleep cycles occurring during the total sleep time. The fourth evaluation condition 904 may include reference elements in which scores (e.g., −10, 5, 10, 5, and −10) are mapped to reference times (0 to 6, 6 to 7, 7 to 8, 8 to 9, and 9 hours or more), respectively, into which the total sleep time is divided. The fifth evaluation condition 905 may include reference elements in which scores (e.g., 5 and 0) are mapped to reference times (80 to 120 min and the rest), respectively, into which the end times of the first cycles are divided. The sixth evaluation condition 906 may include reference elements in which scores (e.g., 10, −5, and −10) are mapped to reference times (e.g., 0 to 6 min, 6 to 16 min, and 16 min or more), respectively, during which short awakenings occur in the fourth sleep stage (REM). The seventh evaluation condition 907 may include reference elements in which scores (e.g., −2.5 and −5) are mapped to the number of times (e.g., one time and two times or more), respectively, in which movement after sleep onset (WASO) occurs in the fourth sleep stage (REM). The eighth evaluation condition 908 may include reference elements in which scores (e.g., 10, −5, and −15) are mapped to reference rates (e.g., 0 to 2%, 2 to 5%, and 5% or more), respectively, in which movement after sleep onset (WASO) occurs during the total sleep time. The ninth evaluation condition 909 may include reference elements in which scores (e.g., 5, −5, −10, and −20) are mapped to reference times (e.g., 0 to 2 min, 2 to 8 min, 8 to 40 min, and 40 min or more), respectively, during which short awakenings occur in the first sleep cycle. The tenth evaluation condition 910 may include reference elements in which scores (e.g., −5, −10, and −15) are mapped to reference rates (e.g., 3.5 to 9%, 9 to 18%, and 18% or more), respectively, during which short awakenings occur during the total sleep time.
Referring to
The electronic device may evaluate the quality of sleep for each designated evaluation condition included in the designated condition information.
For example, if the evaluation condition is a condition for total sleep, and the analyzed total sleep time is less than a first reference time (e.g., 360 minutes), the electronic device may evaluate it as insufficient sleep (lack) and, if the analyzed total sleep time corresponds to a second reference time (e.g., 360 minutes to 540 minutes), the electronic device may evaluate it as good sleep (good). If the analyzed total sleep time corresponds to a third reference time (e.g., 540 minutes to 1,440 minutes), the electronic device may evaluate it as over sleep in excess of proper sleep time (over).
For example, if the evaluation condition is a condition for sleep cycles in the total sleep time, and the number of analyzed sleep cycles is less than or equal to a first reference number (e.g., 2), the electronic device may evaluate it as insufficient sleep (lack) and, if the analyzed number of sleep cycles corresponds to a second reference number (e.g., 2 to 6 times), the electronic device may evaluate it as good sleep (good). If the analyzed number of sleep cycles corresponds to a third reference number (e.g., 7 to 15 times), the electronic device may evaluate it as over sleep (over).
For example, if the evaluation condition is a condition for the wake rate in the total sleep time, and the analyzed wake rate is less than a first reference rate (e.g., 1%), the electronic device may evaluate it as insufficient sleep (lack) and, if the analyzed wake rate corresponds to a second reference rate (e.g., 1% to 30%), the electronic device may evaluate it as good sleep (good). If the analyzed wake ratio corresponds to a third reference rate (e.g., 30% to 50%), the electronic device may evaluate it as over sleep in excess of a proper sleep time.
For example, if the evaluation condition is a condition for the rate of the third sleep stage in the total sleep time (deep sleep rate), and the analyzed rate is less than a first reference rate (e.g., 40%), the electronic device may evaluate it as insufficient sleep (lack) and, if the analyzed rate corresponds to a second reference rate (e.g., 40% to 100%), the electronic device may evaluate it as good sleep (good).
For example, if the evaluation condition is a condition for the wake rate in the fourth sleep stage (REM), and the analyzed wake rate is less than a first reference rate (e.g., 60%), the electronic device may evaluate it as insufficient sleep (lack) and, if the analyzed wake rate corresponds to a second reference rate (e.g., 60% to 100%), the electronic device may evaluate it as good sleep (good).
Referring to
Referring to
According to an embodiment, the electronic device may display, on the execution screen 1100 of
According to an embodiment, the electronic device may analyze the user's sleep state information and result information according to sleep quality evaluation and, if the user's sleep quality is evaluated as not good, analyze factors that may influence the quality of sleep based on various information (e.g., the user's situation information, medical information, environment information, or other additional information) and provide a plan to enhance the quality of sleep based on the analyzed factors.
Referring to
According to an embodiment, the electronic device 201 (e.g., the electronic device 201 of
According to an embodiment, if the user's sleep is maintained before the electronic device 201 is taken off, the electronic device 201 may perform sleep quality evaluation based on the sleep-related information obtained until immediately before it is taken off. When taken off, the electronic device 201 may transmit a signal for the takeoff to the external electronic device 101. Thus, the external electronic device 101 may identify the user's wakeup and perform sleep quality evaluation based on the sleep-related information obtained until immediately before it is taken off.
According to an example embodiment, a method for operating an electronic device (e.g., the electronic device 101 of
According to an example embodiment, the method may further comprise: controlling a display of the electronic device to display the result information according to the evaluation of the sleep quality. The result information may include at least one of a sleep score, the analyzed sleep state information, history information for the sleep, sleep stage-related information, and sleep cycle-related information.
According to an example embodiment, the first sleep cycle may include a sleep cycle first identified after the user's sleep onset is identified. The sleep-related information may include movement information for the user detected during sleep and biometric information detected during sleep. The biometric information may include heart rate information and heart rate variability information.
According to an example embodiment, the sleep state information may include a total sleep time, sleep stage-related information, or information related to the at least one sleep cycle, wherein the sleep stage-related information includes a first sleep stage indicating an awakening during sleep, a second sleep stage indicating light non-rapid-eye-movement (REM) sleep, a third sleep stage indicating deep non-REM sleep, and a fourth sleep stage indicating REM sleep.
According to an example embodiment, the designated condition information may include designated evaluation conditions and is in a form of a table stored in the memory of the electronic device. The evaluation conditions may include at least one of a time of a third sleep stage in a first sleep cycle, a rate of the third sleep stage in a total sleep time, a number of sleep cycles in the total sleep time, the total sleep time, a time of the first sleep cycle, an awake time in a first sleep stage, a time of movement after sleep onset (WASO) in the first sleep stage, a rate of the movement after sleep onset (WASO) in the total sleep time, an awake time in the first sleep cycle, or an awake rate in the total sleep time.
According to an example embodiment, the evaluation conditions may include reference elements to which designated scores are mapped. The method may further comprise obtaining evaluation values for evaluating the sleep quality, individually corresponding to the evaluation conditions, from the sleep state information, obtaining scores of the evaluation values based on the reference elements included in each evaluation condition, and calculating a sleep score, as the result information, using the obtained scores.
According to an example embodiment, the method may further comprise receiving the sleep-related information from an external electronic device through a communication module of the electronic device, and transmitting the result information to the external electronic device through the communication module.
According to an example embodiment, the method may further comprise identifying the user's sleep onset based on the user's movement information, obtaining the user's movement information during the user's sleep time based on the sleep onset being confirmed after a designated time, and identifying the user's sleep offset based on the user's movement information obtained during the sleep time. Evaluating the sleep quality may be performed when the sleep offset is confirmed after a designated time.
According to an example embodiment, the method may further comprise identifying a next sleep onset based on the user's movement information obtained during the user's wake-up time based on the sleep offset being confirmed after the designated time.
The computer-readable storage medium may include a hardware device, such as hard discs, floppy discs, and magnetic tapes (e.g., a magnetic tape), optical media such as compact disc ROMs (CD-ROMs) and digital versatile discs (DVDs), magneto-optical media such as floptical disks, ROMs, RAMs, flash memories, and/or the like. Examples of the program commands may include not only machine language codes but also high-level language codes which are executable by various computing means using an interpreter, for example a code generated by a compiler or a code executable by an interpreter. The aforementioned hardware devices may be configured to operate as one or more software modules to carry out exemplary embodiments of the disclosure, and vice versa.
According to an example embodiment, there is provided a non-transitory computer-readable recording medium storing a program which, when executed by a processor of an electronic device configures the electronic device to: obtain sleep-related information using at least one sensor while a user is sleeping, analyze the user's sleep state based on the sleep-related information, identify at least one sleep cycle based on sleep state information obtained by analysis of the sleep state, evaluate a sleep quality corresponding to a first sleep cycle among at least one sleep cycle based on the sleep state information and designated condition information, obtain result information based on the evaluation of the sleep quality, and store the result information in a memory of the electronic device.
The various example embodiments disclosed herein are provided for description and understanding of the disclosed technology and does not limit the scope of the disclosure. Accordingly, the scope of the disclosure should be interpreted as including all changes or various embodiments based on the technical spirit of the disclosure.
The electronic device according to various embodiments may be one of various types of electronic devices. The electronic devices may include, for example, a portable communication device (e.g., a smart phone), a computer device, a portable multimedia device, a portable medical device, a camera, a wearable device, a home appliance, or the like. According to an embodiment of the disclosure, the electronic devices are not limited to those described above.
It should be appreciated that various embodiments of the disclosure and the terms used therein are not intended to limit the technological features set forth herein to particular embodiments and include various changes, equivalents, or replacements for a corresponding embodiment. With regard to the description of the drawings, similar reference numerals may be used to refer to similar or related elements. It is to be understood that a singular form of a noun corresponding to an item may include one or more of the things, unless the relevant context clearly indicates otherwise. As used herein, each of such phrases as “A or B,” “at least one of A and B,” “at least one of A or B,” “A, B, or C,” “at least one of A, B, and C,” and “at least one of A, B, or C,” may include all possible combinations of the items enumerated together in a corresponding one of the phrases. As used herein, such terms as “1st” and “2nd,” or “first” and “second” may be used to simply distinguish a corresponding component from another, and does not limit the components in other aspect (e.g., importance or order). It is to be understood that if an element (e.g., a first element) is referred to, with or without the term “operatively” or “communicatively”, as “coupled with,” “coupled to,” “connected with,” or “connected to” another element (e.g., a second element), the element may be coupled with the other element directly (e.g., wiredly), wirelessly, or via a third element.
As used herein, the term “module” may include a unit implemented in hardware, software, or firmware, or any combination thereof, and may interchangeably be used with other terms, for example, “logic,” “logic block,” “part,” or “circuitry”. A module may be a single integral component, or a minimum unit or part thereof, adapted to perform one or more functions. For example, according to an embodiment, the module may be implemented in a form of an application-specific integrated circuit (ASIC).
Various embodiments as set forth herein may be implemented as software (e.g., the program 140) including one or more instructions that are stored in a storage medium (e.g., internal memory 136 or external memory 138) that is readable by a machine (e.g., the electronic device 101). For example, a processor (e.g., the processor 120) of the machine (e.g., the electronic device 101) may invoke at least one of the one or more instructions stored in the storage medium, and execute it, with or without using one or more other components under the control of the processor. This allows the machine to be operated to perform at least one function according to the at least one instruction invoked. The one or more instructions may include a code generated by a complier or a code executable by an interpreter. The machine-readable storage medium may be provided in the form of a non-transitory storage medium. Wherein, the “non-transitory” storage medium is a tangible device, and may not include a signal (e.g., an electromagnetic wave), but this term does not differentiate between where data is semi-permanently stored in the storage medium and where the data is temporarily stored in the storage medium.
According to an embodiment, a method according to various embodiments of the disclosure may be included and provided in a computer program product. The computer program products may be traded as commodities between sellers and buyers. The computer program product may be distributed in the form of a machine-readable storage medium (e.g., compact disc read only memory (CD-ROM)), or be distributed (e.g., downloaded or uploaded) online via an application store (e.g., Play Store™), or between two user devices (e.g., smart phones) directly. If distributed online, at least part of the computer program product may be temporarily generated or at least temporarily stored in the machine-readable storage medium, such as memory of the manufacturer's server, a server of the application store, or a relay server.
According to various embodiments, each component (e.g., a module or a program) of the above-described components may include a single entity or multiple entities. Some of the plurality of entities may be separately disposed in different components. According to various embodiments, one or more of the above-described components may be omitted, or one or more other components may be added. Alternatively or additionally, a plurality of components (e.g., modules or programs) may be integrated into a single component. In such a case, according to various embodiments, the integrated component may still perform one or more functions of each of the plurality of components in the same or similar manner as they are performed by a corresponding one of the plurality of components before the integration. According to various embodiments, operations performed by the module, the program, or another component may be carried out sequentially, in parallel, repeatedly, or heuristically, or one or more of the operations may be executed in a different order or omitted, or one or more other operations may be added.
As is apparent from the foregoing description, according to various embodiments, an electronic device may analyze the user's sleep state during sleep, based on sleep-related information (e.g., the user's biometric information and movement information) and evaluate the quality of sleep in a sleep cycle identified by analysis of sleep state based on designated condition information and the analyzed sleep state information, thereby rendering it possible to easily evaluate the user's sleep quality during sleep, provide information for enhancing the user's sleep quality based on the information resultant from evaluating the user's sleep quality, and prevent or predict various diseases or disorders according to the sleep state.
While the disclosure has been illustrated and described with reference to various example embodiments, it will be understood that the various example embodiments are intended to be illustrative, not limiting. It will be further understood by those skilled in the art that various changes in form and detail may be made without departing from the true spirit and full scope of the disclosure, including the appended claims and their equivalents.
| Number | Date | Country | Kind |
|---|---|---|---|
| 10-2020-0096388 | Jul 2020 | KR | national |
