Sleep apnea syndrome treatment system, information processing device, information processing method, and program

Abstract

To provide a sleep apnea syndrome treatment system, an information processing apparatus, an information processing method, and a program that can propose an appropriate method for treating the sleep apnea syndrome for every patient without requiring a large-scale system.SOLUTION: A sleep apnea syndrome treatment system according to one aspect of the present invention comprises an information processing apparatus and a stimulus application device. The information processing apparatus comprises: a biological information acquisition unit that acquires biological information including at least one of the oxygen saturation and respiratory rate of a user; a determination unit that determines a breathing state of the user on the basis of the biological information; and a decision unit that decides, through machine learning, a stimulus according to the biological information and the breathing state of the user and to be applied to the user. The decision unit decides a type, timing, and intensity of the stimulus, and the stimulus application device applies the stimulus to the user on the basis of the type, timing, and intensity of the stimulus.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a sleep apnea syndrome treatment system, an information processing device, an information processing method, and a program. [Background technology]

[0002] It is estimated that there are approximately 900 million people worldwide suffering from sleep apnea syndrome (SAS), with approximately 400 million suffering from severe SAS. In Japan, the number of SAS patients is estimated to be approximately 22 million, with approximately 9.4 million suffering from severe SAS. Patients with SAS are treated with at least one of the following therapies, depending on the severity: medication, mouthpiece therapy, CPAP (Continuous Positive Airway Pressure), or surgery. CPAP is a treatment method that continuously delivers air to the user's airway through a mask worn by the user.

[0003] Treatment using a mouthpiece or CPAP involves attaching a treatment device to areas that are likely to cause discomfort to the user, so some users may end up removing the treatment device.

[0004] In order to alleviate such discomfort, for example, Patent Document 1 discloses a sleep apnea treatment device including a stimulation device configured to provide stimulation to a subject, and a controller including a circuit configured to receive a plurality of sounds produced by the subject, convert the sounds into a plurality of received sound signals, obtain snoring sound information from the received sound signals, calculate an impact of the snoring sound produced by the subject based on the snoring sound information, and cause the stimulation device to provide the stimulation to the subject when the impact is higher than a threshold value.

[0005] Patent Document 2 also discloses a biometric information processing device that includes a biometric information acquisition unit that acquires biometric information of a subject, a prediction unit that predicts the occurrence of symptoms when the subject is asleep by inputting the biometric information of the subject when asleep into a trained model that predicts the occurrence of the symptoms when the subject is asleep based on the biometric information of the subject, and an intervention unit that performs preventive intervention on the subject when the occurrence of the symptoms is predicted by the prediction unit. [Prior art documents] [Patent documents]

[0006] [Patent Document 1] Special Publication No. 2022-509989 [Patent Document 2] Japanese Patent Application Laid-Open No. 2023-3299 Summary of the Invention [Problem to be solved by the invention]

[0007] However, the technology described in Patent Document 1 basically determines the patient's condition based on the sound of snoring, and requires an ultra-wideband Doppler radar system to detect the patient's apnea, which results in a large-scale system configuration.

[0008] Furthermore, Patent Document 2 discloses applying various biological stimuli to a subject and adjusting the degree of the stimuli, but does not disclose which type of stimuli applied to the subject is effective for the subject.

[0009] The present invention has been made in consideration of the above circumstances, and aims to provide a sleep apnea syndrome treatment system, an information processing device, an information processing method, and a program that can propose an appropriate treatment for sleep apnea syndrome for each patient without requiring a large-scale system. [Means for solving the problem]

[0010] [1] A sleep apnea syndrome treatment system according to one aspect of the present invention comprises an information processing device and a stimulation device, wherein the information processing device comprises a biometric information acquisition unit that acquires biometric information including at least one of a user's oxygen saturation and respiratory rate, a determination unit that determines the user's respiratory state based on the biometric information, and a decision unit that determines a stimulation to be provided to the user based on the biometric information and the user's respiratory state through machine learning, wherein the decision unit determines the type, timing, and strength of the stimulation, and the stimulation device provides the stimulation to the user based on the type, timing, and strength of the stimulation. [2] The sleep apnea syndrome treatment system described in [1] above may further include a medical support device connected to a plurality of the information processing devices, and the medical support device may include a decision unit that determines the type, timing, and strength of the stimulation to be applied to each user based on a plurality of pieces of biometric information, information regarding the respiratory condition, and the type, timing, and strength of the stimulation acquired for each of the information processing devices.

[0011] [3] In addition, an information processing device according to another aspect of the present invention is an information processing device used in the treatment of sleep apnea syndrome, and includes: a biometric information acquisition unit that acquires biometric information including at least one of a user's oxygen saturation and respiratory rate; a determination unit that determines the user's respiratory state based on the biometric information; and a decision unit that determines, through machine learning, a stimulus to be given to the user in accordance with the biometric information and the user's respiratory state, and the decision unit determines the type, timing, and strength of the stimulus.

[0012] [4] Furthermore, an information processing method according to yet another aspect of the present invention is an information processing method used in the treatment of sleep apnea syndrome, and includes a biometric information acquisition step of acquiring biometric information including at least one of a user's oxygen saturation and respiratory rate, a determination step of determining the user's respiratory state based on the biometric information, and a decision step of determining, by machine learning, a stimulus to be given to the user in accordance with the biometric information and the user's respiratory state, wherein the decision step determines the type, timing, and strength of the stimulus.

[0013] [5] Furthermore, a program according to yet another aspect of the present invention causes a computer to function as an information processing device used in the treatment of sleep apnea syndrome, the information processing device comprising: a biometric information acquisition unit that acquires biometric information including at least one of a user's oxygen saturation and respiratory rate; a determination unit that determines the user's respiratory state based on the biometric information; and a decision unit that determines, through machine learning, a stimulus to be given to the user in accordance with the biometric information and the user's respiratory state, wherein the decision unit determines the type, timing, and strength of the stimulus. [Effects of the Invention]

[0014] According to an embodiment of the present invention, it is possible to propose an appropriate treatment method for sleep apnea syndrome for each patient without requiring a large-scale system. [Brief explanation of the drawings]

[0015] [Figure 1] 1 is a block diagram of a sleep apnea syndrome treatment system according to an embodiment of the present invention. [Figure 2] FIG. 2 is a block diagram showing an example of a functional configuration of the information processing device according to the embodiment. [Figure 3] FIG. 2 is a block diagram showing an example of a functional configuration of the stimulus applying device according to the embodiment. [Figure 4] 10 is a flowchart showing an example of a processing flow of the sleep apnea syndrome treatment system according to the embodiment. [Figure 5] 1 is a block diagram of a sleep apnea syndrome treatment system according to an embodiment of the present invention. [Figure 6] FIG. 2 is a block diagram showing an example of a functional configuration of the medical support device according to the embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0016] Hereinafter, embodiments of the present invention will be described with reference to the drawings. In this specification and the drawings, components having substantially the same functional configurations are designated by the same reference numerals, and redundant description will be omitted.

[0017] <Sleep Apnea Syndrome Treatment System 1> A sleep apnea syndrome treatment system according to one embodiment of the present invention will be described with reference to Figures 1 to 3. Figure 1 is a block diagram of a sleep apnea syndrome treatment system according to one embodiment of the present invention. Figure 2 is a block diagram showing an example of the functional configuration of an information processing device in the same embodiment. Figure 3 is a block diagram showing an example of the functional configuration of a stimulating device in the same embodiment. The sleep apnea syndrome treatment system 1 includes an information processing device 10 and a stimulating device 20.

[0018] [Information processing device 10] The information processing device 10 according to this embodiment includes a biometric information acquisition unit 110 that acquires biometric information of a user, a determination unit 120 that determines the user's respiratory state based on the biometric information, and a decision unit 130 that determines a stimulus according to the biometric information and the user's respiratory state through machine learning. Furthermore, as shown in FIG. 2, the information processing device 10 may include, for example, an instruction unit 140, a storage unit 150, a control unit 160, a communication unit 170, and a display unit 180. The information processing device 10 is realized, for example, by a wearable device, such as a smartwatch.

[0019] (Biometric information acquisition unit 110) The biometric information acquisition unit 110 acquires biometric information of the user. The biometric information is information related to the user's life, and examples of the biometric information include oxygen saturation, respiratory rate, body temperature, and heart rate. The biometric information acquisition unit 110 acquires at least the user's oxygen saturation. The biometric information acquisition unit 110 can acquire the biometric information at any timing. For example, the biometric information acquisition unit 110 may acquire the biometric information at a predetermined interval or at the timing of a user operation. The biometric information acquisition unit 110 preferably acquires the biometric information at short intervals. Acquiring the biometric information at short intervals allows for more accurate understanding of the transition of the user's biometric information. Furthermore, when the user receives a stimulus, it is possible to more accurately understand to what extent the sleep state changes depending on the type, timing, and intensity of the stimulus.

[0020] The oxygen saturation level is acquired by the oxygen saturation level acquisition unit 111. The oxygen saturation level acquisition unit 111 is realized by a known sensor that measures the oxygen saturation level.

[0021] The respiration rate is the number of breaths per unit time (for example, per minute) and is acquired by the respiration rate acquisition unit 112. The respiration rate can be measured, for example, by detecting the movement of the user using an acceleration sensor and a gyroscope worn by the user.

[0022] The user's body temperature and heart rate are respectively acquired by a body temperature acquisition unit 113 and a heart rate acquisition unit 114. The body temperature and heart rate may be acquired by a known method.

[0023] The biometric information acquiring unit 110 may also acquire voice information uttered by the user, such as whether or not the user is snoring, and information on the user's movements (motion information), such as whether or not the user is turning over in bed. The voice information can be acquired by a sound collecting device such as a microphone. The motion information can be acquired by an acceleration sensor and a gyroscope. The voice information and motion information are included in the biometric information.

[0024] (Judgment unit 120) The determination unit 120 determines the user's respiratory state based on the biological information. For example, the determination unit 120 sets a threshold for determining a hypopnea state and a threshold for determining an apnea state, and determines the user's respiratory state as normal when the oxygen saturation level exceeds a first threshold or the respiratory rate exceeds the first threshold during sleep. When the oxygen saturation level is equal to or lower than the first threshold or the respiratory rate is equal to or lower than the first threshold during sleep, the determination unit 120 determines the user's respiratory state as hypopnea. Furthermore, when the oxygen saturation level is equal to or lower than a second threshold lower than the first threshold or the respiratory rate is equal to or lower than a second threshold lower than the first threshold, the determination unit 120 determines the user's respiratory state as apnea. The hypopnea state refers to a state in which shallow breathing, in which ventilation is 50% or less of normal, continues for 10 seconds or more, and the apnea state refers to a state in which breathing stops for 10 seconds or more.

[0025] Furthermore, the determination unit 120 can change the first and second thresholds for the oxygen saturation level and the first and second thresholds for the respiratory rate based on biological information through machine learning. The determination unit 120 generates, for example, a trained model that predicts a respiratory state based on the user's biological information. This trained model is trained based on the user's biological information from an untrained state. Alternatively, a trained model is generated based on multiple pieces of biological information, and this trained model is further trained based on the user's biological information. Then, the user's biological information is input into this trained model to predict the respiratory state.

[0026] (Decision unit 130) The determination unit 130 determines, through machine learning, a stimulus to be given to the user according to the biometric information and the user's respiratory state. The type of stimulus may be at least one of visual, auditory, olfactory, and tactile stimuli. Specific examples of the stimulus include light, sound, vibration, temperature, smell, and airflow.

[0027] Furthermore, the determination unit 130 determines the type, timing, and strength (stimulation information) of the stimulation. Since the type of stimulation that is effective varies for each user, determining the type of stimulation according to the user can shorten the duration of the hypopnea state or the apnea state. Furthermore, determining the type of stimulation according to the user can provide a stimulation that will not wake the user up.

[0028] The determination unit 130 can determine different stimuli depending on whether the user's respiratory state is a hypopnea state or an apnea state. The determination unit 130 can determine, for example, by machine learning, the type of stimulation that is more effective in changing the respiratory state to a normal state when the user is in an apnea state. Furthermore, even if the type of stimulation is the same, the determination unit 130 can vary at least one of the timing and intensity between the hypopnea state and the apnea state.

[0029] The determination unit 130 generates a trained model that predicts the respiratory state based on, for example, at least one of the user's biological information and stimulation information. This trained model is trained from an untrained state based on the user's biological information and stimulation information. Alternatively, a trained model is generated based on multiple pieces of biological information and stimulation information, and this trained model is further trained based on the user's biological information and stimulation information. The user's biological information and stimulation information are then input into this trained trained model to predict the respiratory state. Information related to the user's body (body-related information) may also be used in this training. Examples of body-related information include the user's date of birth, gender, height, weight, chronic illnesses, medical history, etc.

[0030] The type, timing and strength of stimulation are determined by machine learning, allowing for more effective improvement of hypopnea or apnea.

[0031] In the above, the determination unit 130 classifies the respiratory state into a normal state, a hypopnea state, and an apnea state and determines the stimulus to be given to the user, but the respiratory state of the user may be further subdivided and the stimulus to be given to the user may be determined for each subdivided category. The classification of the respiratory state may be performed based on biological information.

[0032] (Instruction section 140) The instruction unit 140 transmits the stimulation information via the communication unit 170. In the sleep apnea syndrome treatment system 1 according to this embodiment, the instruction unit 140 transmits the stimulation information to the stimulation device 20 via the communication unit 170.

[0033] (Storage unit 150) The storage unit 150 stores biometric information, stimulation information, body-related information, respiratory state information (respiratory state information), and programs for various controls performed by the control unit 160. The storage unit 150 may also store information associated with the biometric information, such as the date and time when the biometric information was acquired, location information, or weather information.

[0034] (control unit 160) The control unit 160 has a function of controlling the overall operation of the information processing device 10. The control unit 160 is realized, for example, by causing a CPU (Central Processing Unit) provided as hardware in the information processing device 10 to execute a program.

[0035] (Communication unit 170) The communication unit 170 has a function of transmitting and receiving various information to and from the stimulus imparting device 20 and an external information processing device. For example, the communication unit 170 can transmit stimulus information to the stimulus imparting device 20 via the network NW. The communication unit 170 can also transmit biological information, stimulus information, respiratory state information, body-related information, and the like to other information processing devices via the network NW.

[0036] (Display section 180) The display unit 180 has a function of displaying at least one of the biological information, stimulation information, respiratory state information, and body-related information. For example, the display unit 180 may display at least one item of the biological information and the respiratory state information for each acquisition timing, or may display a plurality of these items as a table. The display unit 180 may also display the progress of at least one item of the biological information, the respiratory state information, and the stimulation information as a graph. The display unit 180 may also display the average value, maximum value, and minimum value of each piece of biological information, or may display the time or number of times that the oxygen saturation or respiratory rate fell below a predetermined threshold. The display unit 180 is realized, for example, by a display.

[0037] [Stimulation device 20] The stimulus imparting device 20 is a device capable of imparting a stimulus according to each type of stimulus, and is, for example, a light-emitting device, an audio output device, a vibration device, an air-conditioning device, or an aroma device. It is preferable to provide a plurality of stimulus imparting devices 20 in order to impart different types of stimuli to the user. Naturally, the stimulus imparting device 20 may be a device capable of imparting a plurality of different types of stimuli to the user. As shown in FIG. 3 , the stimulus imparting device 20 includes an output unit 210, a control unit 220, and a communication unit 230. The stimulus imparting device 20 may also include a memory unit 240 and a display unit 250.

[0038] (output unit 210) The output section 210 outputs a stimulus based on the stimulus information received from the information processing device 10. The output section 210 outputs the stimulus at a timing and strength controlled by the control section 220 based on the stimulus information.

[0039] (control unit 220) The control unit 220 has a function of controlling the overall operation of the stimulus application device 20. The control unit 220 is realized, for example, by causing a CPU provided as hardware in the stimulus application device 20 to execute a program.

[0040] (Communication unit 230) The communication unit 230 has a function of transmitting and receiving various information to and from the information processing device 10 and an external information processing device. For example, the communication unit 230 receives stimulation information transmitted by the information processing device 10 via a network.

[0041] (Storage unit 240) The storage section 240 stores stimulation information and programs that the control section 220 uses to perform various controls.

[0042] (Display section 250) The display unit 250 has a function of displaying the intensity of the stimulus. The display unit 250 is realized by, for example, a display.

[0043] <Processing flow> The functional configuration of the sleep apnea syndrome treatment system 1 according to this embodiment has been described above. Next, the processing flow according to this embodiment will be described with reference to Fig. 4. Fig. 4 is a flowchart showing an example of the processing flow according to this embodiment.

[0044] The biometric information acquisition unit 110 acquires biometric information of the user (step S101). Next, the determination unit 120 determines whether the user's respiratory state is an apnea state based on the biometric information (step S103). If the user's respiratory state is determined to be an apnea state (step S103 / YES), the decision unit 130 determines a stimulus to be given to the user and transmits the stimulus information to the instruction unit 140 (step S105). Next, the instruction unit 140 transmits the stimulus information to the stimulus application device 20 (step S107). Having received the stimulus information, the stimulus application device 20 applies a stimulus to the user based on the stimulus information. After step S107, the process is repeated from step S101.

[0045] If it is determined that the user's respiratory state is not an apnea state (step S103 / NO), it is determined whether or not the user is in a hypopnea state (step S104). If it is determined that the user's respiratory state is a hypopnea state (step S104 / YES), steps S105 and S107 are performed. The stimulation device 20 that has received the stimulation information stimulates the user based on the stimulation information. After step S107, the process is repeated from step S101.

[0046] If it is determined that the user's respiratory state is an apneic state, the process is repeated from step S101.

[0047] By repeating steps S101 to S107, an appropriate stimulus is given to each patient, and the patient can escape from the hypopnea state or the apnea state.

[0048] According to the sleep apnea syndrome treatment system of this embodiment, a stimulus to be given to a user is determined by machine learning based on biometric information. The stimulus can avoid an apnea state. Furthermore, even if an apnea state occurs, the state can be escaped. Because biometric information differs for each user and also differs depending on the user's condition even for the same user, it is possible to provide an appropriate stimulus for each user to avoid or escape from an apnea state.

[0049] For users, the reduction in hypopnea and apnea episodes leads to improved daytime performance and fewer complications, and medical costs are reduced due to reduced medication, CPAP, and surgical procedures.

[0050] Furthermore, the information processing device according to this embodiment can be realized by a wearable device, such as a smartwatch, and therefore causes less discomfort than CPAP or a mouthpiece, allowing for continuous use.

[0051] <Second embodiment> As shown in FIG. 5, a sleep apnea syndrome treatment system 1A according to the present disclosure preferably includes a plurality of sleep apnea syndrome treatment systems 1 and a plurality of medical support devices 30. The functions of the sleep apnea syndrome treatment system 1 are the same as those in the first embodiment except that the sleep apnea syndrome treatment system 1 can communicate with the medical support device 30 via a network NW, and therefore detailed description thereof will be omitted here. However, one sleep apnea syndrome treatment system 1 is used by one user. Therefore, a plurality of sleep apnea syndrome treatment systems 1 can communicate with the medical support device 30 via the network NW, the number of which corresponds to the number of users. Furthermore, the biometric information, body-related information, and stimulation information for each user can be anonymized and transmitted to the medical support device 30.

[0052] The medical support device 30 is a device used by medical personnel. For example, as shown in FIG. 6, the medical support device 30 can include a biological information acquisition unit 310, a determination unit 320, a decision unit 330, an instruction unit 340, a storage unit 350, a control unit 360, a communication unit 370, and a display unit 380. These functions are basically the same as the respective functions in the information processing device 10. However, the medical support device 30 differs from the information processing device 10 in that it can receive biological information and stimulation information from multiple information processing devices 10. In addition, the decision unit 330 can receive biological information and stimulation information from multiple information processing devices 10. to Based on the acquired multiple pieces of biological information, respiratory information, and the type, timing, and strength of the stimulation, the type, timing, and strength of the stimulation to be applied to each user can be determined.

[0053] According to the sleep apnea syndrome treatment system 1 equipped with the medical support device 30, the stimulation to be given to each user can be determined by machine learning from a large amount of combined information consisting of each user's biometric information, body-related information, stimulation information, etc., making it possible to give more appropriate stimulation to each user.

[0054] <Hardware configuration> The information processing device 10, the stimulation device 20, and the medical support device 30 may be equipped with a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), an internal bus, an input / output interface, a display device, an input device, an audio output unit, a storage device, a drive, a network interface, and an external interface.

[0055] The CPU functions as an arithmetic processing unit and a control unit, and controls the overall operation of the information processing device 10, the stimulation device 20, and the medical support device 30 in accordance with various programs. The CPU works in cooperation with the ROM, RAM, and software described below to realize the functions of the control units 160, 220, and 360.

[0056] The ROM stores the programs used by the CPU, calculation parameters, etc. The RAM temporarily stores the programs used by the CPU during execution, as well as parameters that change as appropriate during execution.

[0057] The CPU, ROM, and RAM are interconnected by an internal bus, and are further connected via an input / output interface to a display device, an input device, an audio output unit, a storage device, a drive, a network interface, and an external interface, which will be described later.

[0058] The display device is an example of the display unit 180, 250, 380 according to this embodiment, and is a display device such as a CRT display device, a liquid crystal display (LCD), or an OLED device, which converts video data into video and outputs the video. The input device may be composed of a mouse, a keyboard, a touch panel, buttons, a microphone, a sensor, a switch, a control circuit, etc. The audio output unit is an audio output device such as a speaker or headphones, which converts audio data into audio and outputs the audio.

[0059] The storage device is a data storage device configured as an example of the storage units 150, 240, and 350 according to this embodiment. The storage device may include a storage medium, a recording device that records data on the storage medium, a reading device that reads data from the storage medium, and a deleting device that deletes data recorded on the storage medium. The storage device may be configured, for example, as an HDD (Hard Disk Drive) or an SSD (Solid Storage Drive), or as a memory with equivalent functions. This storage device drives the storage and stores programs executed by the CPU or various data.

[0060] A drive is a reader / writer for storage media, and can be built-in or external. The drive reads information stored on a removable storage medium, such as a magnetic disk, optical disk, magneto-optical disk, or semiconductor memory, and outputs the information to RAM. The drive can also write information to removable storage media.

[0061] The network interface is a communication interface configured with devices for connecting to a communication network such as the Internet, etc. The network interface may be a communication device compatible with a wired LAN (Local Area Network) or a wireless LAN, or may be a wired communication device that performs wired communication.

[0062] The external interface is a connection interface consisting of connection ports for connecting external devices, such as a USB (Universal Serial Bus) port, an IEEE1394 port, a SCSI (Small Computer System Interface) port, an RS-232C port, or an optical audio terminal.

[0063] The information processing system according to this embodiment has been described above. However, the technical scope of the present invention is not limited to the above embodiment, and various modifications can be made without departing from the spirit of the present invention.

[0064] For example, although three stimulating devices 20A, 20B, and 20C are shown in Fig. 1, the number of stimulating devices may be one or two, or may be four or more. When each stimulating device outputs one type of stimulus, it is preferable that the sleep apnea syndrome treatment system includes a plurality of stimulating devices, since different types of stimuli can be provided to the user.

[0065] 2, the instruction unit 140 included in the information processing device 10 transmits the stimulus information to the stimulus applying device 20. However, another information processing device connected to the same network NW as the information processing device 10 and the stimulus applying device 20 may transmit the stimulus information to the stimulus applying device 20. Examples of the other information processing device include a smart remote control for operating the stimulus applying device, a smart speaker, etc.

[0066] Furthermore, in the above embodiment, as shown in FIG. 4, the respiratory condition is determined in the order of whether or not the patient is in an apnea state, and whether or not the patient is in a hypopnea state. However, this order is not limited to this, and the determination may be performed in the order of whether or not the patient is in a hypopnea state, and whether or not the patient is in an apnea state.

[0067] The above describes an embodiment of the present invention. Note that part or all of the sleep apnea syndrome treatment system 1 in the above-described embodiment may be realized by a computer. Furthermore, when part or all of the sleep apnea syndrome treatment system 1 is realized by a computer, a program for realizing the functions thereof may be recorded on a computer-readable recording medium, and the program recorded on the recording medium may be read into a computer system and executed. [Explanation of symbols]

[0068] 1. Sleep apnea syndrome treatment system 10. Information processing equipment 20 Stimulation device 30 Medical support equipment

Claims

1. A treatment system for sleep apnea syndrome, comprising: An information processing device and a stimulus providing device are provided, The information processing device includes: a biological information acquisition unit that acquires biological information including an oxygen saturation level and a respiratory rate of a user; a determination unit that determines a respiratory state of the user based on the biological information; a determination unit that determines a stimulus to be given to the user according to the biological information and a respiratory state of the user by machine learning, The determination unit determines the type, timing, and intensity of the stimulation; the stimulus applying device applies a stimulus to the user based on the type, timing, and intensity of the stimulus; the determination unit determines that the respiratory state of the user is a hypopnea state but not an apnea state when at least one of the following conditions is met: the oxygen saturation level during sleep of the user is equal to or less than a first threshold for determining a hypopnea state and exceeds a second threshold smaller than the first threshold for determining an apnea state; and the respiratory rate is equal to or less than the first threshold for determining a hypopnea state and exceeds a second threshold smaller than the first threshold for determining an apnea state. The stimulation device provides the stimulation to the user when the user's respiratory state is determined to be a hypopnea state that is not an apnea state.

2. further comprising a medical support device connected to the plurality of information processing devices; 2. The sleep apnea syndrome treatment system of claim 1, wherein the medical support device includes a determination unit that determines the type, timing, and strength of the stimulation to be applied to each user based on multiple pieces of biometric information, information regarding the respiratory condition, and the type, timing, and strength of the stimulation acquired for each information processing device.

3. An information processing device used in the treatment of sleep apnea syndrome, a biological information acquisition unit that acquires biological information including an oxygen saturation level and a respiratory rate of a user; a determination unit that determines a respiratory state of the user based on the biological information; a determination unit that determines a stimulus to be given to the user according to the biological information and a respiratory state of the user by machine learning, The determination unit determines the type, timing, and intensity of the stimulation; The determination unit determines that the user's respiratory state is a hypopnea state but not an apnea state when at least one of the following conditions is met: the oxygen saturation level during sleep is equal to or less than a first threshold for determining a hypopnea state and exceeds a second threshold smaller than the first threshold for determining an apnea state; and the respiratory rate is equal to or less than a first threshold for determining a hypopnea state and exceeds a second threshold smaller than the first threshold for determining an apnea state.

4. An information processing method used in the treatment of sleep apnea syndrome, comprising: a biological information acquiring step of acquiring biological information including an oxygen saturation level and a respiratory rate of a user; a determination step in which a determination unit determines a respiratory state of the user based on the biological information; a determining step of determining a stimulus to be given to the user according to the biological information and the respiratory state of the user by machine learning; In the determining step, a type, timing, and intensity of the stimulation are determined; In the determination step, the user's respiratory state is determined to be a hypopnea state but not an apnea state when at least one of the following conditions is met: the oxygen saturation level during sleep is equal to or less than a first threshold for determining a hypopnea state and exceeds a second threshold smaller than the first threshold for determining an apnea state; and the respiratory rate is equal to or less than a first threshold for determining a hypopnea state and exceeds a second threshold smaller than the first threshold for determining an apnea state.

5. Computer, An information processing device used in the treatment of sleep apnea syndrome, a biological information acquisition unit that acquires biological information including an oxygen saturation level and a respiratory rate of a user; a determination unit that determines a respiratory state of the user based on the biological information; a determination unit that determines a stimulus to be given to the user according to the biological information and a respiratory state of the user by machine learning, The determination unit determines the type, timing, and intensity of the stimulation; The determination unit determines that the user's respiratory state is a hypopnea state but not an apnea state when at least one of the following conditions is met: the oxygen saturation level during sleep is equal to or less than a first threshold for determining a hypopnea state and exceeds a second threshold smaller than the first threshold for determining an apnea state; and the respiratory rate is equal to or less than a first threshold for determining a hypopnea state and exceeds a second threshold smaller than the first threshold for determining an apnea state.

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