WO2018170718A1 - 基于智能穿戴设备的健康提醒方法及系统 - Google Patents
基于智能穿戴设备的健康提醒方法及系统 Download PDFInfo
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- the present invention relates to the field of communications technologies, and in particular, to a health alerting method and system based on smart wearable devices.
- portable smart wearable devices such as smart bracelets realize real-time collection of physiological information such as ECG, pulse and other target information, as well as posture and position of the target through the application of multi-parameter motion detection system. Analyze the data and make reasonable feedback and suggestions on the user's health.
- the smart wearable device has only a monitoring effect when monitoring the user's sleep condition, and has no practical effect. After collecting the user's exercise data, the user was not given sufficient physical reminders. For example, effective stimulation is performed when the user snoring, the user's posture is changed to stop snoring, or the user is given a certain physical reminder when the user's sleep quality is poor, forcing the user to change sleep habits and the like.
- the main object of the present invention is to solve the technical problem that the smart wearable device in the prior art cannot provide an effective comprehensive reminder when monitoring the health of the user.
- the present invention provides a health alerting method based on a smart wearable device, the method comprising:
- the smart wearable device continuously monitors the peripheral audio input, records the audio monitored each time, saves the audio and sends the audio to the mobile terminal;
- the mobile terminal determines whether the audio is a preset type of audio, and if so, analyzes the audio to confirm an audio decibel;
- the mobile terminal sends a preset instruction to the smart wearable device to instruct the smart wearable device to issue a pulse wave to physically remind the user.
- the method further comprises: the smart wearable device further continuously monitoring the user's daily motion to obtain daily motion data, and transmitting the motion data to the mobile terminal; the mobile terminal receiving and processing the motion Data is used to determine the amount of movement of the user, and the amount of exercise and the user's physical fitness information are sent to the cloud to determine whether the amount of exercise on the day is up to standard; if the target is not met, the mobile terminal prompts the user to perform a motion reminder setting, and sends the motion reminder setting to The smart wearable device instructs the smart wearable device to issue physical interference at the first preset time to prompt the user to exercise.
- the method further includes: in the night mode, the smart wearable device further continuously monitors pulse information within a preset time period of the user at different time intervals, where the pulse information includes a pulse frequency and a pulse strength; When the pulse information meets the first preset condition for the first time, the first time corresponding to the pulse information is recorded as the deep sleep start time; wherein the first preset condition is that the pulse frequency is not greater than the first preset frequency And the pulse strength is not greater than the first preset strength; after the first time, when the pulse frequency is greater than the second preset frequency and the pulse strength is greater than the second preset strength, recording the pulse information correspondingly
- the second moment is a deep sleep end time; the smart wearable device sends the deep sleep start time and end time to the mobile terminal; the mobile terminal calculates deep sleep according to the deep sleep start time and the end time Duration and record.
- the method further includes: the mobile terminal sends the deep sleep duration transmission and the amount of motion on the day to the cloud to determine the sleep quality of the day; if the sleep quality is not up to standard, the mobile terminal prompts the user to sleep. And reminding the setting, sending the sleep reminder setting to the smart wearable device to instruct the smart wearable device to issue physical interference at the second preset time to prompt the user to take a break.
- the method further includes: the mobile terminal receiving the physical energy information input by the user and saving.
- the present invention further provides a smart wearable device-based health reminding system, including a smart wearable device and a mobile terminal, wherein
- the smart wearable device includes:
- a monitoring module configured to continuously monitor peripheral audio input in the night mode, record each monitored audio, and save the audio;
- a transmission module configured to send the audio to the mobile terminal
- the reminding module is configured to issue a pulse wave to physically remind the user when receiving the preset instruction
- the mobile terminal includes:
- a pick-up module for receiving the audio
- An analysis module configured to determine whether the audio is a preset type of audio, and if yes, analyze the audio to confirm an audio decibel;
- an indication module configured to send a preset instruction to the smart wearable device when the audio decibel exceeds a preset value.
- the monitoring module is further configured to continuously monitor the daily movement of the user to obtain daily motion data;
- the transmission module is further configured to send the motion data to the mobile terminal;
- the reminding module is further configured to After receiving the motion reminder setting, physical interference is sent at the first preset time to prompt the user to perform motion;
- the pick-up module is further configured to receive and process the motion data to determine a user motion amount, and send the motion amount and the user fitness information to
- the cloud is configured to determine whether the amount of exercise is up to standard on the day;
- the indication module is further configured to prompt the user to perform a motion reminder setting when the amount of exercise is not up to standard, and send the motion reminder setting to the smart wearable device.
- the smart wearable device further includes a recording module; the monitoring module is further configured to continuously monitor pulse information within a preset time period of the user at different times in a nighttime mode, the pulse information including a pulse frequency And a pulse intensity; the recording module is configured to record, when the pulse information meets the first preset condition for the first time, the first time corresponding to the pulse information is a deep sleep start time; wherein the first preset condition The recording frequency is not greater than the first preset frequency and the pulse strength is not greater than the first preset strength; the recording module is further configured to: when the first time is, when the pulse frequency is greater than the second preset Recording, when the pulse intensity is greater than the second preset intensity, recording the pulse information corresponding time as a deep sleep end time; the transmitting module is further configured to send the deep sleep start time and end time to the mobile a terminal; the mobile terminal further includes a calculation module; the shuttle module is further configured to receive the deep sleep start time and an end time; Long record time and get deep sleep deep sleep is calculated based
- the shuttle module is further configured to send the deep sleep duration transmission and the motion amount on the day to the cloud to determine the sleep quality of the day;
- the indication module is further configured to remind the user to perform a sleep reminder when the sleep quality is not up to standard And setting, and sending the sleep reminder setting to the smart wearable device;
- the reminding module is further configured to issue physical interference at the second preset time to prompt the user to take a break after receiving the sleep reminder setting.
- the mobile terminal further includes an input module, configured to receive the physical energy information input by the user and save the information.
- the smart wearable device-based health reminding method and system continuously monitors peripheral audio input in the night mode, records each monitored audio, saves the audio and sends the audio to the mobile terminal; Determining, by the terminal, whether the audio is a preset type of audio, and if yes, analyzing the audio to confirm an audio decibel; when the audio decibel exceeds a preset value, the mobile terminal sends a preset instruction to the smart wearable device to Instructing the smart wearable device to emit a pulse wave to physically alert the user.
- the mobile terminal can complete the corresponding judgment and send a pulse wave to the smart wearable device to confirm the user's snoring to realize the physical reminder to the user, thereby realizing the function of the snoring device.
- the purpose of effective reminders is to complete the corresponding judgment and send a pulse wave to the smart wearable device to confirm the user's snoring to realize the physical reminder to the user, thereby realizing the function of the snoring device.
- FIG. 1 is a schematic flowchart of a smart wear device-based health reminding method according to a first embodiment of the present invention
- FIG. 2 is another schematic flowchart of a smart wear device-based health reminding method according to a second embodiment of the present invention
- FIG. 3 is another schematic flowchart of a smart wear device-based health reminding method according to a third embodiment of the present invention.
- FIG. 4 is a schematic diagram of functional modules of a smart wearable device-based health reminding system according to a fourth embodiment of the present invention.
- FIG. 5 is a schematic diagram of another functional module of a smart wearable device-based health reminding system according to a sixth embodiment of the present invention.
- FIG. 1 is a schematic flowchart of a smart wear device-based health reminding method provided by a first embodiment.
- the method includes:
- Step S10 in the night mode, the smart wearable device continuously monitors the peripheral audio input, records each monitored audio, saves the audio, and sends the audio to the mobile terminal;
- smart wearable devices can work in different modes.
- the basic mode is enabled by default in the power-on state, in which the smart wearable device continuously monitors the user's motion information, including pulse, motion track and time.
- the smart wearable device when the smart wearable device can also work in the night mode, in the night mode, the smart wearable device continuously monitors the input of the peripheral audio, records the monitored audio and saves each time, thereby realizing the audio information. collect.
- a snoring when a user snoring.
- the user can set the time when the smart wearable device enters the night mode.
- the smart wearable device can automatically enter the night mode at 10 o'clock every night.
- the night mode is automatically turned off at 6 in the morning.
- the user can set the frequency at which the smart wearable device collects audio information, for example, recording 3 seconds of audio every 60 seconds.
- the smart wearable device sends the audio to the mobile terminal in time for each audio recorded.
- the user can implement various setting functions for the smart wearable device through the mobile terminal. Further, after the mobile terminal wirelessly connects to the smart wearable device, the user can install through the mobile terminal.
- the management application of the smart wearable device performs corresponding setting, and the mobile terminal transmits the user settings to the smart wearable device to complete the setting.
- the mobile terminal also collects various kinds of motion information and audio information through the smart device to obtain data to analyze the user's sleep state and exercise state.
- Step S20 the mobile terminal determines whether the audio is a preset type audio; if not, proceeds to step S10; if yes, proceeds to step S21.
- step S21 the audio is analyzed to confirm the audio decibel.
- the mobile terminal After the mobile terminal receives the audio sent by the smart wearable device, in order to avoid mis-collection, for example, collecting other noises in the environment, the mobile terminal needs to determine whether the audio is a click.
- the mobile terminal analyzes the voiceprint feature of the audio and compares it with the pre-stored human voice voiceprint feature. If the similarity exceeds the preset, the audio is considered to be the user's click. At this time, the mobile terminal amplifies the audio signal to better determine the sound size of the audio and determine its audio decibel.
- step S30 when the audio decibel exceeds a preset value, the mobile terminal sends a preset instruction to the smart wearable device to instruct the smart wearable device to issue a pulse wave to physically remind the user.
- the mobile terminal sends a preset instruction to the smart wearable device, and after receiving the preset instruction, the smart wearer outputs a pulse for a period of time to the user's skin through the pulse generating device, and the stimulus will make the user Reflex behavior, such as changing the sleeping position for muscle reflex, or reflexing tightening of the chin, thereby preventing the user from breathing with the mouth, achieving the purpose of reducing or suppressing the snoring, and achieving an effective physical reminder.
- the mobile terminal can send the preset instruction to the smart wearable device after three consecutive audio decibels exceed the preset value to avoid misjudgment or accidental phenomenon.
- the mobile terminal can continue to maintain the monitoring state without any prompt.
- the smart wearable device-based health reminding method provided by the embodiment, the smart wearable device continuously monitors peripheral audio input in the night mode, records each monitored audio, saves the audio, and sends the audio to the mobile terminal; Determining whether the audio is a preset type of audio, and if so, analyzing the audio to confirm an audio decibel; when the audio decibel exceeds a preset value, the mobile terminal sends a preset instruction to the smart wearable device to indicate The smart wearable device sends a pulse wave to physically alert the user.
- the mobile terminal can complete the corresponding judgment and send a pulse wave to the smart wearable device to confirm the user's snoring to realize the physical reminder to the user, thereby realizing the function of the snoring device.
- the purpose of effective reminders is to complete the corresponding judgment and send a pulse wave to the smart wearable device to confirm the user's snoring to realize the physical reminder to the user, thereby realizing the function of the snoring device.
- FIG. 2 is another schematic flowchart of a smart wear device-based health reminding method according to a second embodiment of the present invention. Based on the health reminding method described in the first embodiment, in the embodiment, the method is different from the method in the first embodiment only in that the method further includes:
- Step S40 the smart wearable device further continuously monitors the daily movement of the user to obtain daily exercise data, and sends the motion data to the mobile terminal;
- the basic mode is enabled by default when the smart device is powered on.
- the smart wear device continuously monitors the user's motion information, including the pulse, the motion track, and the time, and stores the data in real time to obtain the user's daily exercise data.
- the motion data is sent to the mobile terminal via a wireless connection.
- Step S50 the mobile terminal receives and processes the motion data to determine a user motion amount, and sends the motion amount and user fitness information to the cloud to determine whether the exercise amount meets the standard on the day;
- the mobile terminal calculates the amount of exercise of the user on the day according to the preset formula, for example, the number of steps of the calorie or the movement, and sends the exercise amount to the cloud together with the user's physical fitness information.
- the relationship curve or corresponding relationship between the user's physical energy and the amount of exercise recorded in the cloud server database determines whether the user's daily exercise amount is up to standard, and feeds the judgment result back to the mobile terminal. It can be understood that calculating the amount of exercise according to the user's motion data is one of the conventional calculations in the current smart wear field, and thus will not be described or illustrated in detail herein.
- the user physical energy information mainly refers to basic physical information of the user, including but not limited to gender, age, weight, etc., which may be input by the user on the mobile terminal, or may be prompted by the mobile terminal to input the user, and the user inputs After the above information, the mobile terminal saves the user's fitness information. It can be understood that the user physical information can change over time, and the user can update the information as needed.
- step S60 if the target is not met, the mobile terminal prompts the user to perform a motion reminder setting, and sends the motion reminder setting to the smart wearable device to instruct the smart wearable device to issue physical interference at the first preset time to prompt The user performs the exercise.
- the mobile terminal may prompt the user to perform the motion reminder setting by ringing or vibrating. Or, when the mobile terminal is not in the lock screen state, the setting interface and the prompt box are directly popped up, prompting the user to perform the motion reminding setting on the current interface.
- the mobile terminal may prompt the user to set the time for starting the exercise on the next day, such as the first preset time, and the length of the second day of exercise, wherein the length of time must be greater than the current exercise time.
- the smart wearable device After the user sets the mobile terminal to send the motion reminder setting to the smart wearable device, when the first preset time arrives the next day, the smart wearable device will send a pulse wave to stimulate the user to form physical interference, prompting the user to perform motion. If the first preset time arrives and the user does not detect the motion (if the user motion necessarily detects the motion information), the smart wearable device will continuously send a pulse wave to interfere with the user, and the direct user manually stops the reminder function or the user. Start exercising.
- the smart wearable device-based health reminding method collects user motion data through the smart wearable device, calculates the exercise amount by the mobile terminal, and reminds the user to set when the exercise amount is not up to standard, so that the smart wearable device continues Physical interference alerts the user to exercise. Therefore, in addition to the stop function, the smart wearable device realizes the purpose of monitoring the user's movement status and performing physical reminding, and realizes comprehensive monitoring and reminding.
- FIG. 3 is another schematic flowchart of a smart wear device-based health reminding method according to a third embodiment of the present invention. Based on the health reminding method described in the second embodiment, another health reminding method is further proposed in the embodiment. The method is different from the method in the first embodiment only in that the method further includes:
- Step S70 The smart wearable device continuously monitors pulse information within a preset time period of the user at different time intervals in a nighttime mode, where the pulse information includes a pulse frequency and a pulse strength;
- the pulse information of the user at a preset time interval can be monitored at preset time intervals, for example, the user pulse is monitored every 5 minutes. Information, monitoring time is 5s.
- the pulse information includes a pulse rate and a pulse intensity.
- Step S80 when the pulse information meets the first preset condition for the first time, the first moment corresponding to the pulse information is recorded as a deep sleep start time;
- Step S90 after the first time, when the pulse frequency is greater than the second preset frequency and the pulse intensity is greater than the second preset intensity, recording the second time corresponding to the pulse information as the deep sleep end time;
- the pulse frequency is not greater than the first preset frequency and the pulse strength is not greater than the first preset strength (here may be set as the first preset condition)
- the user is considered to have entered the depth at this time.
- the pulse frequency is greater than the second preset frequency and the pulse strength is greater than the second preset intensity (here may be set as the second preset condition)
- the user may be considered to have not entered the deep sleep state or has already The deep sleep state is released. Therefore, when the pulse frequency is not greater than the first preset frequency for the first time and the pulse intensity is not greater than the first preset intensity, the user is considered to enter the deep sleep state, and the pulse information corresponds to the first The moment is the deep sleep start time.
- step S80 that is, continuously continues to monitor the pulse information within the preset time period of the user at different time intervals, if the detected pulse information is maintained at a certain time. If the range is constant, that is, the first preset condition is still satisfied, it is determined that the user is still in a deep sleep state. Until the pulse information changes to meet the second preset condition, that is, when the pulse frequency is greater than the second preset frequency and the pulse intensity is greater than the second preset intensity, it may be determined that the user has released the deep sleep state, and the pulse information corresponds to The second moment is the end time of deep sleep. Obviously, the second moment must be later than the first moment.
- Step S100 the smart wearable device sends the deep sleep start time and end time to the mobile terminal;
- Step S110 the mobile terminal calculates and records the deep sleep duration according to the deep sleep start time and the end time.
- the smart wearable device After recording the deep sleep start time and the end time, the smart wearable device sends the time to the mobile terminal. After receiving the mobile terminal, the deep sleep start time and the end time are recorded, and the end time is subtracted from the start time, thereby calculating the duration of the deep sleep and recording.
- the mobile terminal records the sleep state of the user every night, and can present it to the user in a graphical manner so that the user can understand the quality of his sleep and adjust the sleep habit according to the quality of sleep.
- the user is provided with sleep quality monitoring data, so that the user can better understand his or her sleep state, thereby further adjusting the sleep habits, thereby obtaining healthy sleep habits.
- the method may further comprise the following steps:
- Step S120 the mobile terminal sends the deep sleep duration transmission and the amount of motion on the day to the cloud to determine the sleep quality of the day;
- Step S130 If the sleep quality is not up to standard, the mobile terminal prompts the user to perform a sleep reminder setting, and sends the sleep reminder setting to the smart wearable device to instruct the smart wearable device to issue physical interference at the second preset time. Prompt the user to take a break.
- the cloud database stores a correspondence between different motion amounts and an optimal deep sleep duration
- the mobile terminal can calculate the calculated deep sleep duration and the motion data detected by the smart wear in the device basic mode.
- the amount of exercise is sent to the cloud, and the cloud determines the quality of sleep on that day. For example, if the ratio of the actual deep sleep duration (ie, the calculated deep sleep duration) to the optimal deep sleep duration is 0.9-1.1, the sleep quality is considered to be excellent; if the ratio of the actual deep sleep duration to the optimal deep sleep duration is For 0.7-0.9, the quality of sleep is considered to be better, and so on.
- the cloud determines the quality of sleep on the day and feeds back to the mobile terminal.
- the user can set the compliance standard according to the need, for example, the ratio of the actual deep sleep duration to the optimal deep sleep duration is 0.6 or more, or the sleep quality is better than the standard.
- the mobile terminal may prompt the user to perform a sleep reminder setting and notify the smart wearable device through the pop-up window, for example, setting the sleep time to be longer, setting the sleep time.
- a second preset time is used as the new sleep reminder time.
- the smart wearable device After receiving the sleep reminder setting, when the second preset time arrives, the smart wearable device continuously sends a pulse wave to form a physical interference to the user to prompt the user to rest until the user is detected to enter a sleep state, for example, detecting A change in the user's posture is detected, or the user manually turns off the reminder function.
- the smart wearable device-based health reminding method collects sleep data and motion data through the smart wearable device, thereby determining the sleep quality of the user, and issuing physical interference by the smart wearable device when the sleep quality is poor. Remind users to rest, compared to traditional message reminders and other ways to effectively remind users to improve sleep habits, promote healthy sleep, make health reminders more comprehensive, and better user experience.
- the fourth embodiment of the present invention further provides a health alerting system based on the smart wearable device, and the smart wearable device based on the smart wearable device is implemented by the health alert system.
- FIG. 4 is a schematic diagram of functional modules of a smart wearable device-based health reminding system according to an embodiment of the present invention.
- the system 1 includes a smart wearable device 10 and a mobile terminal 20, and the smart wearable device 10 includes a monitoring module 101, a transmission module 102, and a reminder module 103.
- the mobile terminal 20 includes a pick-up module 201 and analyzes Module 202 and indication module 203, wherein
- the monitoring module 101 is configured to continuously monitor peripheral audio input in the night mode, record each monitored audio, and save the audio;
- a transmitting module 102 configured to send the audio to the mobile terminal
- smart wearable devices can work in different modes.
- the basic mode is enabled by default in the power-on state, in which the monitoring module 101 will continuously monitor the user's motion information, including pulse, motion track and time.
- the monitoring module 101 when the smart wearable device can also work in the night mode, in the night mode, the monitoring module 101 continuously monitors the input of the peripheral audio, records the monitored audio and saves each time, thereby realizing the audio information. collect.
- a snoring when a user snoring.
- the user can set the time when the smart wearable device enters the night mode. For example, if the user sleeps from 10:00 pm to 6:00 am, the smart wearable device can automatically enter the night mode at 10 o'clock every night.
- the night mode is automatically turned off at 6 in the morning. Further, the user can set the frequency at which the monitoring module 101 collects audio information, for example, recording 3 seconds of audio every 60 seconds. The monitoring module 101 completes an audio every time the recording is completed, and the transmission module 102 transmits the audio to the mobile terminal in time.
- the user can implement various setting functions for the smart wearable device through the mobile terminal. Further, after the mobile terminal wirelessly connects to the smart wearable device, the user can install through the mobile terminal.
- the management application of the smart wearable device performs corresponding setting, and the mobile terminal transmits the user settings to the smart wearable device to complete the setting.
- the mobile terminal also collects various kinds of motion information and audio information through the smart device to obtain data to analyze the user's sleep state and exercise state.
- the pick-up module 201 is configured to receive the audio
- the analyzing module 202 is configured to determine whether the audio is a preset type of audio, and if yes, analyze the audio to confirm an audio decibel;
- the analysis module 202 also needs to determine whether the audio is a click.
- the analysis module 202 analyzes the voiceprint features of the audio and compares them with pre-stored human voice voiceprint features. If the similarity exceeds the preset, the audio is considered to be a user click. At this time, the analysis module 201 amplifies the audio signal to better determine the sound size of the audio and determine its audio decibel.
- the indicating module 203 is configured to send a preset instruction to the smart wearable device when the audio decibel exceeds a preset value
- the reminding module 103 is configured to issue a pulse wave to physically remind the user when receiving the preset instruction.
- the instruction module 203 sends a preset instruction to the smart wearable device, and after receiving the preset instruction, the reminder module 103 of the smart wearable device outputs a pulse for a period of time to the user's skin through its own pulse generating device.
- the stimulus will cause the user to have a reflective behavior, such as changing the sleeping position for muscle reflex, or reflexive tightening of the lower jaw, thereby preventing the user from breathing with the mouth, achieving the purpose of reducing or suppressing the snoring, and realizing an effective physical reminder.
- the indication module 203 can send the preset instruction to the smart wearable device after three consecutive audio decibels exceed the preset value to avoid misjudgment or accidental phenomenon.
- the indication module 203 can continue to maintain the monitoring state without any prompt.
- the monitoring module continuously monitors peripheral audio input in the night mode, records each monitored audio, saves the audio, and is sent by the transmission module to the mobile terminal; the analysis module Determining whether the audio is a preset type of audio, and if so, analyzing the audio to confirm an audio decibel; the indicating module sending a preset instruction to the smart wearable device to indicate the reminding module when the audio decibel exceeds a preset value A pulsed wave is sent to physically alert the user.
- the mobile terminal can complete the corresponding judgment and send a pulse wave to the smart wearable device to confirm the user's snoring to realize the physical reminder to the user, thereby realizing the function of the snoring device.
- the purpose of effective reminders is to complete the corresponding judgment and send a pulse wave to the smart wearable device to confirm the user's snoring to realize the physical reminder to the user, thereby realizing the function of the snoring device.
- Another smart wear device based health reminding system in the fifth embodiment of the present invention is different from the health reminding system provided in the fourth embodiment only in:
- the monitoring module 101 is further configured to continuously monitor the daily movement of the user to obtain daily exercise data;
- the transmission module 102 is further configured to send the motion data to the mobile terminal;
- the basic mode is enabled by default when the smart device is powered on.
- the monitoring module 101 continuously monitors the user's motion information, including the pulse, the motion track, and the time, and stores the data in real time to obtain the user's daily motion data.
- Module 102 then transmits the motion data to the mobile terminal over a wireless connection.
- the pick-up module 201 is further configured to receive and process the motion data to determine a user movement amount, and send the exercise amount and user fitness information to the cloud to determine whether the exercise amount is up to standard on the day;
- the pick-up module 201 calculates the amount of exercise of the user on the day according to the preset formula, for example, the number of steps of the calorie or the movement, and sends the exercise amount to the cloud together with the user's physical fitness information.
- the relationship curve or corresponding relationship between the user's physical energy and the amount of exercise recorded in the cloud server database determines whether the user's daily exercise amount is up to standard, and the judgment result is fed back to the mobile terminal. It can be understood that calculating the amount of exercise according to the user's motion data is one of the conventional calculations in the current smart wear field, and thus will not be described or illustrated in detail herein.
- the mobile terminal further includes an input module 204.
- the user physical information mainly refers to the basic information of the user's body, including but not limited to gender, age, weight, etc., which may be input by the user on the mobile terminal, or may be prompted by the mobile terminal to input the user.
- the input module 204 receives and saves the user's fitness information. It can be understood that the user physical information can change over time, and the user can update the information as needed.
- the indicating module 203 is further configured to remind the user to perform a motion reminding setting when the amount of motion is not up to standard, and send the motion reminding setting to the smart wearable device;
- the reminding module 103 is further configured to issue physical interference at the first preset time after receiving the motion reminding setting to prompt the user to perform the motion;
- the indication module 203 may prompt the user to perform the motion reminder setting by using a ringing tone or a vibration. Or, when the mobile terminal is not in the lock screen state, the setting interface and the prompt box are directly popped up, prompting the user to perform the motion reminding setting on the current interface.
- the indication module 203 may prompt the user to set the time when the second day starts to move, such as the first preset time, and the length of the second day of exercise, wherein the length of time must be greater than the current exercise time. After the user is set, the instruction module 203 sends the motion reminder setting to the smart wearable device.
- the reminder module 103 When the first preset time arrives the next day, the reminder module 103 will send a pulse wave to stimulate the user to form physical interference, prompting the user. Exercise. If the first preset time arrives and the user does not detect the motion (if the user motion necessarily detects the motion information), the reminding module 103 will continuously send a pulse wave to interfere with the user, and the direct user manually stops the reminder function or the user. Start exercising.
- the health reminding system collects user motion data through the smart wearable device, calculates the exercise amount by the mobile terminal, and reminds the user to set when the exercise amount is not up to standard, so that the smart wearable device reminds the user through continuous physical interference. motion. Therefore, in addition to the stop function, the smart wearable device realizes the purpose of monitoring the user's movement status and performing physical reminding, and realizes comprehensive monitoring and reminding.
- FIG. 5 is a schematic diagram of functional modules of a health reminding system according to a sixth embodiment of the present invention.
- the health reminding system is different from the health reminding system provided in the fifth embodiment only in that the smart wearable device further includes a recording module 104, and the mobile terminal further includes a computing module 205, wherein ,
- the monitoring module 101 is further configured to: in the night mode, the smart wearable device further continuously monitors pulse information within a preset time period of the user at different time intervals, where the pulse information includes a pulse frequency and a pulse strength;
- the monitoring module 101 can monitor the pulse information within a preset time period of the user at different time intervals in addition to continuously monitoring the peripheral audio input, for example, monitoring every 5 minutes.
- One user pulse information, the monitoring duration is 5s.
- the pulse information includes a pulse rate and a pulse intensity.
- the recording module 104 is configured to record, when the pulse information meets the first preset condition for the first time, a first moment corresponding to the pulse information as a deep sleep start time;
- the recording module 104 is further configured to: after the first time, when the pulse frequency is greater than the second preset frequency and the pulse strength is greater than the second preset intensity, recording the second time corresponding to the pulse information as the depth End of sleep time;
- the pulse frequency is not greater than the first preset frequency and the pulse strength is not greater than the first preset strength (here may be set as the first preset condition)
- the user is considered to have entered the depth at this time.
- the pulse frequency is greater than the second preset frequency and the pulse strength is greater than the second preset intensity (here may be set as the second preset condition)
- the user may be considered to have not entered the deep sleep state or has already The deep sleep state is released. Therefore, when the pulse frequency is not greater than the first preset frequency for the first time and the pulse intensity is not greater than the first preset intensity, the user is considered to enter the deep sleep state, and the pulse information corresponds to the first The moment is the deep sleep start time.
- the smart monitoring module 101 continues to continuously monitor the pulse information within the preset time period of the user at different time intervals, and if the detected pulse information is maintained within a certain range, That is, the first preset condition is still satisfied, and it is determined that the user is still in a deep sleep state.
- the pulse information changes to meet the second preset condition that is, when the pulse frequency is greater than the second preset frequency and the pulse intensity is greater than the second preset intensity, it may be determined that the user has released the deep sleep state, and the pulse information corresponds to The second moment is the end time of deep sleep. Obviously, the second moment must be later than the first moment.
- the transmission module 102 is further configured to send the deep sleep start time and end time to the mobile terminal;
- the pick-up module 201 is further configured to receive the deep sleep start time and an end time;
- the calculation module 205 is further configured to calculate and record the deep sleep duration according to the deep sleep start time and the end time.
- the transmission module 102 sends the time to the mobile terminal.
- the calculation module 205 records the deep sleep start time and the end time, and subtracts the start time from the end time, thereby calculating the duration of the deep sleep and recording.
- the calculation module 205 records the sleep state of the user every night, and can present it to the user in a graphical manner so that the user can understand his or her sleep quality and adjust the sleep habit according to the quality of sleep.
- the user is provided with sleep quality monitoring data, so that the user can better understand his or her sleep state, thereby further adjusting the sleep habits, thereby obtaining healthy sleep habits.
- the shuttle module 201 is further configured to send the deep sleep duration transmission and the amount of exercise on the day to the cloud to determine the sleep quality of the day;
- the indicating module 203 is further configured to remind the user to perform a sleep reminding setting when the sleep quality is not up to standard, and send the sleep reminding setting to the smart wearable device;
- the reminding module 103 is further configured to issue physical interference at the second preset time after receiving the sleep reminder setting to prompt the user to take a break.
- the cloud database stores a correspondence between different motion amounts and an optimal deep sleep duration
- the shuttle module 201 can calculate the calculated deep sleep duration and the motion data detected by the monitoring module 101 in the device basic mode.
- the amount of exercise on the day is sent to the cloud, and the cloud determines the quality of sleep on that day. For example, if the ratio of the actual deep sleep duration (ie, the calculated deep sleep duration) to the optimal deep sleep duration is 0.9-1.1, the sleep quality is considered to be excellent; if the ratio of the actual deep sleep duration to the optimal deep sleep duration is For 0.7-0.9, the quality of sleep is considered to be better, and so on.
- the cloud determines the quality of sleep on the day and feeds back to the mobile terminal.
- the user can set the compliance standard according to the need, for example, the ratio of the actual deep sleep duration to the optimal deep sleep duration is 0.6 or more, or the sleep quality is better than the standard.
- the user may prompt the user to perform a sleep reminder setting and notify the smart wearable device by the pop-up window, for example, setting the sleep time to be longer, Set a second preset time as the new sleep reminder time.
- the reminder module 103 After receiving the sleep reminder setting, when the second preset time arrives, the reminder module 103 continuously sends a pulse wave to form a physical interference to the user to prompt the user to rest until the user is detected to enter a sleep state, for example, detecting A change in the user's posture is detected, or the user manually turns off the reminder function.
- the smart wearable device-based health reminding system collects sleep data and motion data through the smart wearable device, thereby determining the sleep quality of the user, and issuing physical interference by the smart wearable device when the sleep quality is poor. Remind users to rest, compared to traditional message reminders and other ways to effectively remind users to improve sleep habits, promote healthy sleep, make health reminders more comprehensive, and better user experience.
Landscapes
- Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)
- Telephone Function (AREA)
Abstract
一种基于智能穿戴设备的健康提醒方法，包括：夜间模式下智能穿戴设备持续监测周边音频输入，录制每次监测到的音频，保存所述音频并发送至移动终端（S10）；移动终端判断所述音频是否为预设类型音频（S20），若是，则分析所述音频以确认音频分贝（S30）；当所述音频分贝超过预设值时，所述移动终端向所述智能穿戴设备发送预设指令以指示所述智能穿戴设备发出脉冲电波对用户进行物理提醒（S40）。还公开了一种健康提醒系统。该健康提醒方法和系统由智能穿戴设备（10）收集到声音时，可以由移动终端（20）完成相应的判断并在确认用户打鼾时由智能穿戴设备（10）发出脉冲电波以实现对用户的物理提醒，实现了止鼾器的功能，同时达到了有效提醒的目的。
Description
技术领域
本发明涉及通讯技术领域，尤其涉及一种基于智能穿戴设备的健康提醒方法及系统。
背景技术
现如今，智能手环等便携式智能穿戴设备通过应用多参数运动检测系统，实现了对用户生活及具体活动时的心电、脉搏等生理信息以及目标的姿态、位置等运动信息的实时采集，通过对数据的分析，对用户的健康状况进行合理的反馈和建议。但是，目前智能穿戴设备在在监测使用者的睡眠情况时，仅仅起到了监控的作用没有实际的功效。而在收集使用者运动数据后，也没能给予使用者充分的物理提醒。例如，在使用者打鼾的时候进行有效的刺激，使使用者的姿势发生变化从而停止打鼾，或者在用户睡眠质量较差时给予用户一定的物理提醒而强制用户更改睡眠习惯等。
发明内容
本发明的主要目的在于解决现有技术中的智能穿戴设备监测用户健康时无法给予有效全面提醒的技术问题。
为实现上述目的，本发明提供一种基于智能穿戴设备的健康提醒方法，所述方法包括：
夜间模式下智能穿戴设备持续监测周边音频输入，录制每次监测到的音频，保存所述音频并发送至移动终端；
移动终端判断所述音频是否为预设类型音频，若是，则分析所述音频以确认音频分贝；
当所述音频分贝超过预设值时，所述移动终端向所述智能穿戴设备发送预设指令以指示所述智能穿戴设备发出脉冲电波对用户进行物理提醒。
优选地，所述方法还包括：所述智能穿戴设备还持续监测用户每天的运动以得到每天的运动数据，将所述运动数据发送至所述移动终端；所述移动终端接收并处理所述运动数据以确定用户运动量，将所述运动量和用户体能信息发送至云端以判断当天所述运动量是否达标；若未达标，则所述移动终端提醒用户进行运动提醒设置，将所述运动提醒设置发送至智能穿戴设备以指示智能穿戴设备在第一预设时间发出物理干扰以提示用户进行运动。
优选地，所述方法还包括：夜间模式下所述智能穿戴设备还以预设时间间隔持续监测用户在不同时刻预设时长内的脉搏信息，所述脉搏信息包括脉搏频率和脉搏强度；当所述脉搏信息首次满足第一预设条件时，记录所述脉搏信息对应的第一时刻为深度睡眠起始时间；其中，所述第一预设条件为所述脉搏频率不大于第一预设频率且所述脉搏强度不大于第一预设强度；所述第一时刻后，当所述脉搏频率大于第二预设频率且所述脉搏强度大于第二预设强度时，记录所述脉搏信息对应的第二时刻为深度睡眠结束时间；所述智能穿戴设备将所述深度睡眠起始时间和结束时间发送至所述移动终端；所述移动终端依据深度睡眠起始时间和结束时间计算得到深度睡眠时长并记录。
优选地，所述方法还包括：所述移动终端将所述深度睡眠时长发送及当天所述运动量发送至云端以判断当天睡眠质量；若当天睡眠质量不达标，则所述移动终端提醒用户进行睡眠提醒设置，将所述睡眠提醒设置发送至智能穿戴设备以指示所述智能穿戴设备在第二预设时间发出物理干扰以提示用户进行休息。
优选地，所述方法还包括：所述移动终端接收用户输入的体能信息并保存。
此外，为实现上述目的，本发明还提供一种基于智能穿戴设备的健康提醒系统，包括智能穿戴设备和移动终端，其中；
所述智能穿戴设备包括：
监测模块，用于在夜间模式下智能穿戴设备持续监测周边音频输入，录制每次监测到的音频，保存所述音频；
传输模块，用于将所述音频发送至所述移动终端；
提醒模块，用于当接收到预设指令时发出脉冲电波对用户进行物理提醒；
所述移动终端包括：
接送模块，用于接收所述音频；
分析模块，用于判断所述音频是否为预设类型音频，若是，则分析所述音频以确认音频分贝；
指示模块，用于当所述音频分贝超过预设值时，发送预设指令至所述智能穿戴设备。
优选地，所述监测模块还用于持续监测用户每天的运动以得到每天的运动数据；所述传输模块还用于将所述运动数据发送至所述移动终端；所述提醒模块还用于在接收到运动提醒设置后在第一预设时间发出物理干扰以提示用户进行运动；所述接送模块还用于接收并处理所述运动数据以确定用户运动量，将所述运动量和用户体能信息发送至云端以判断当天所述运动量是否达标；所述指示模块还用于在所述运动量未达标时提醒用户进行运动提醒设置，并将所述运动提醒设置发送至所述智能穿戴设备。
优选地，所述智能穿戴设备还包括记录模块；所述监测模块还用于在夜间模式下以预设时间间隔持续监测用户在不同时刻预设时长内的脉搏信息，所述脉搏信息包括脉搏频率和脉搏强度；所述记录模块用于当所述脉搏信息首次满足第一预设条件时，记录所述脉搏信息对应的第一时刻为深度睡眠起始时间；其中，所述第一预设条件为所述脉搏频率不大于第一预设频率且所述脉搏强度不大于第一预设强度；所述记录模块还用于在所述第一时刻后，当所述脉搏频率大于第二预设频率且所述脉搏强度大于第二预设强度时，记录所述脉搏信息对应时刻为深度睡眠结束时间；所述传输模块还用于将所述深度睡眠起始时间和结束时间发送至所述移动终端；所述移动终端还包括计算模块；所述接送模块还用于接收所述深度睡眠起始时间和结束时间；所述计算模块用于依据深度睡眠起始时间和结束时间计算得到深度睡眠时长并记录。
优选地，所述接送模块还用于将所述深度睡眠时长发送及当天所述运动量发送至云端以判断当天睡眠质量；所述指示模块还用于在当天睡眠质量未达标时提醒用户进行睡眠提醒设置，并将所述睡眠提醒设置发送至所述智能穿戴设备；所述提醒模块还用于在接收到所述睡眠提醒设置后在第二预设时间发出物理干扰以提示用户进行休息。
优选地，所述移动终端还包括输入模块，用于接收用户输入的体能信息并保存。
本发明实施例所提供的基于智能穿戴设备的健康提醒方法及系统，智能穿戴设备在夜间模式下持续监测周边音频输入，录制每次监测到的音频，保存所述音频并发送至移动终端；移动终端判断所述音频是否为预设类型音频，若是，则分析所述音频以确认音频分贝；当所述音频分贝超过预设值时，所述移动终端向所述智能穿戴设备发送预设指令以指示所述智能穿戴设备发出脉冲电波对用户进行物理提醒。由此，智能穿戴设备在收集到声音时，可以由移动终端完成相应的判断并在确认用户打鼾时由智能穿戴设备发出脉冲电波以实现对用户的物理提醒，实现了止鼾器的功能，达到了有效提醒的目的。
附图说明
图1为本发明第一实施例提供的基于智能穿戴设备的健康提醒方法的流程示意图；
图2为本发明第二实施例中提供的基于智能穿戴设备的健康提醒方法的另一流程示意图；
图3为本发明第三实施例中提供的基于智能穿戴设备的健康提醒方法的另一流程示意图；
图4为本发明第四实施例中提供的基于智能穿戴设备的健康提醒系统的功能模块示意图；
图5为本发明第六实施例中提供的基于智能穿戴设备的健康提醒系统的另一功能模块示意图。
本发明目的的实现、功能特点及优点将结合实施例，参照附图做进一步说明。
具体实施方式
以下结合说明书附图对本发明的优选实施例进行说明，应当理解，此处所描述的优选实施例仅用于说明和解释本发明，并不用于限定本发明，并且在不冲突的情况下，本发明中的实施例及实施例中的特征可以相互组合。
本发明提供一种基于智能穿戴设备的健康提醒方法。参照图1，图1为第一实施例提供的基于智能穿戴设备的健康提醒方法的流程示意图。在本实施例中，所述方法包括：
步骤S10，夜间模式下智能穿戴设备持续监测周边音频输入，录制每次监测到的音频，保存所述音频并发送至移动终端；
具体的，智能穿戴设备可以工作在不同的模式。例如，开机状态下默认开启基本模式，该模式下智能穿戴设备将持续监测用户的运动信息，包括脉搏，运动轨迹和时间等。同时，在本实施例中，智能穿戴设备还可以工作在夜间模式时，夜间模式中，智能穿戴设备将持续监测周边音频的输入，录制每次监测到的音频并保存，由此实现音频信息的收集。例如，用户打鼾时的打鼾声。优选地，用户可以设定智能穿戴设备进入夜间模式的时间，例如，用户若惯常睡眠时间为晚上10点至早上6点，则可以设定智能穿戴设备于每晚10点自动进入夜间模式，每天早上6点自动关闭夜间模式。进一步的，用户可以设定智能穿戴设备收集音频信息的频率，例如，每隔60s开始录制3s的音频。智能穿戴设备每录制完成一个音频，则及时将该音频发送至移动终端。
可以理解的是，在本发明各实施例中，用户可以通过移动终端实现对智能穿戴设备的各种设定功能，更进一步的，移动终端无线连接智能穿戴设备后，用户可以通过移动终端上安装的智能穿戴设备的管理应用进行相应的设定，移动终端将用户各项设定传输至智能穿戴设备以完成设定。移动终端也通过智能设备收集各种运动信息以及音频信息，以得到数据分析用户睡眠状况及运动状况。
步骤S20，所述移动终端判断所述音频是否为预设类型音频；若否，则转入步骤S10；若是，则转入步骤S21。
步骤S21，分析所述音频以确认音频分贝。
具体的，移动终端接收到智能穿戴设备发送的音频后，为避免误收集，例如，收集到环境中可能的其他杂音等，移动终端还需判断该音频是否为鼾声。移动终端分析该音频的声纹特征并将其与预先存储的人类鼾声声纹特征对比，若相似度超过预设，则认为该音频是用户鼾声。此时，移动终端将该音频进行信号放大以便更好的判断该音频的声音大小，确定其音频分贝。
步骤S30，当所述音频分贝超过预设值时，所述移动终端向所述智能穿戴设备发送预设指令以指示所述智能穿戴设备发出脉冲电波对用户进行物理提醒。
具体的，若该音频分贝超过预设值，例如65分贝，则说明用户睡眠时鼾声过大，需要刺激用户使其改变睡眠姿势以便改善或停止打鼾。此时，移动终端向智能穿戴设备发送一预设指令，智能穿戴接收到该预设指令后，通过自身的脉冲发生装置输出一持续一段时间的脉冲刺激到用户的皮肤上，该刺激将使用户产生反射行为，例如为肌肉反射而变换睡姿，或下颚反射性收紧，由此使用户不再用嘴呼吸，达到降低或抑制鼾声的目的，实现了有效的物理提醒。优选的，移动终端可以在连续三个音频分贝超过预设值后，才向智能穿戴设备发送该预设指令，以避免误判或偶然现象。
可以理解的是，当音频分贝并未超过预设值时，则认为此时用户睡眠正常，并无不健康的行为，因此，移动终端可不做任何提示，智能穿戴设备可继续保持监测状态。
本实施例所提供的基于智能穿戴设备的健康提醒方法，智能穿戴设备在夜间模式下持续监测周边音频输入，录制每次监测到的音频，保存所述音频并发送至移动终端；所述移动终端判断所述音频是否为预设类型音频，若是，则分析所述音频以确认音频分贝；当所述音频分贝超过预设值时，所述移动终端向所述智能穿戴设备发送预设指令以指示所述智能穿戴设备发出脉冲电波对用户进行物理提醒。由此，智能穿戴设备在收集到声音时，可以由移动终端完成相应的判断并在确认用户打鼾时由智能穿戴设备发出脉冲电波以实现对用户的物理提醒，实现了止鼾器的功能，达到了有效提醒的目的。
参照图2，图2为本发明第二实施例中提供的基于智能穿戴设备的健康提醒方法的另一流程示意图。基于第一实施例所述的健康提醒方法，在本实施例中，所述方法与第一实施例中所提方法的区别仅在于，所述方法还包括：
步骤S40，所述智能穿戴设备还持续监测用户每天的运动以得到每天的运动数据，将所述运动数据发送至所述移动终端；
具体的，如上所述，智能设备开机状态下默认开启基本模式，该模式下智能穿戴设备下将持续监测用户的运动信息，包括脉搏，运动轨迹和时间等，实时存储以得到用户每天运动数据，并将运动数据通过无线连接发送至移动终端。
步骤S50，所述移动终端接收并处理所述运动数据以确定用户运动量，将所述运动量和用户体能信息发送至云端以判断当天所述运动量是否达标；
具体的，移动终端接收到用户当天运动数据后，依据预设公式计算用户当天的运动量，例如，消耗的卡里路或运动的步数等，将该运动量和用户体能信息一起发送至云端，由云端服务器数据库中记录的用户体能与运动量的关系曲线或对应关系判断用户当天运动量是否达标，并将判断结果反馈回移动终端。可以理解的是，依据用户运动数据计算运动量是当前智能穿戴领域的常规计算之一，故此处不做详细描述和说明。
优选地，此处，用户体能信息主要是指用户的身体基本信息，包括但不限于性别，年龄，体重等，可以由用户自行在移动终端上输入，也可以由移动终端提示用户输入，用户输入上述信息后，移动终端保存作为用户体能信息。可以理解的是，用户体能信息可以随时间变化，用户可以依据需要更新该信息。
步骤S60，若未达标，则所述移动终端提醒用户进行运动提醒设置，将所述运动提醒设置发送至所述智能穿戴设备以指示所述智能穿戴设备在第一预设时间发出物理干扰以提示用户进行运动。
具体的，若云端反馈的结果为用户当天运动量不达标，则移动终端可以通过铃声或震动等方式提示用户进行运动提醒设置。或者，在移动终端未处于锁屏状态时直接弹出设置界面和提示框，提示用户在当前界面上进行运动提醒设置。详细的，移动终端可以提示用户设定第二天开始运动的时间例如第一预设时间，以及第二天运动的时间长度，其中，该时间长度必须大于当天运动时间。用户设定完毕后，移动终端将所述运动提醒设置发送至智能穿戴设备，则当第二天第一预设时间到达时，智能穿戴设备将发出脉冲电波刺激用户以形成物理干扰，提示用户进行运动。若第一预设时间到达而未侦测到用户进行运动（若用户运动则必然侦测到运动信息），则智能穿戴设备将持续发出脉冲电波以干扰用户，直接用户手动停止该提醒功能或用户开始运动。
本实施例所提供的基于智能穿戴设备的健康提醒方法，通过智能穿戴设备收集用户运动数据，由移动终端进行运动量的计算，并在运动量不达标时提醒用户进行设置，以使智能穿戴设备通过持续物理干扰提醒用户进行运动。由此，智能穿戴设备除止鼾功能外，还实现了监测用户运动状况并进行物理提醒的目的，实现了全面的监测及提醒。
参照图3，图3为本发明第三实施例中提供的基于智能穿戴设备的健康提醒方法的另一流程示意图。基于第二实施例所述的健康提醒方法，在本实施例中进一步提出另一种健康提醒方法，所述方法与第一实施例中所提方法的区别仅在于，所述方法还包括：
步骤S70，夜间模式下所述智能穿戴设备还以预设时间间隔持续监测用户在不同时刻预设时长内的脉搏信息，所述脉搏信息包括脉搏频率和脉搏强度；
如上所述，当智能穿戴设备工作在夜间模式，除了持续监测周边音频输入，还可以以预设时间间隔监测用户在不同时刻预设时长内的脉搏信息，例如，每隔5分钟监测一次用户脉搏信息，监测时长为5s。此处，脉搏信息包括脉搏频率和脉搏强度。
步骤S80，当所述脉搏信息首次满足第一预设条件时，记录所述脉搏信息对应的第一时刻为深度睡眠起始时间；
步骤S90，所述第一时刻后，当所述脉搏频率大于第二预设频率且所述脉搏强度大于第二预设强度时，记录所述脉搏信息对应的第二时刻为深度睡眠结束时间；
具体的，测得脉搏信息后，若脉搏频率不大于第一预设频率且脉搏强度不大于第一预设强度（此处可设为第一预设条件），则认为此时用户已经进入深度睡眠状态，若脉搏频率大于第二预设频率且所述脉搏强度大于第二预设强度（此处可设为第二预设条件），则可以认为用户此时仍未进入深度睡眠状态或已经解除深度睡眠状态，因此，当脉搏频率第一次不大于第一预设频率且此时脉搏强度不大于第一预设强度，则认为是用户开始进入深度睡眠状态，该脉搏信息对应的第一时刻即为深度睡眠起始时间。此后，即在第一时刻之后，智能穿戴设备继续步骤S80，即继续以预设时间间隔持续监测用户在不同时刻预设时长内的脉搏信息，若每次侦测到的脉搏信息仍维持在一定范围内恒定，即依旧满足第一预设条件，则判定用户仍处于深度睡眠状态。直至脉搏信息变化到满足第二预设条件时，即脉搏频率大于第二预设频率且脉搏强度大于第二预设强度时，则可以判定用户已经解除了深度睡眠状态，此次脉搏信息对应的第二时刻即为深度睡眠的结束时间，很明显的，第二时刻必然晚于第一时刻。
步骤S100，所述智能穿戴设备将所述深度睡眠起始时间和结束时间发送至所述移动终端；
步骤S110，所述移动终端依据深度睡眠起始时间和结束时间计算得到深度睡眠时长并记录。
具体的，记录到深度睡眠起始时间和结束时间后，智能穿戴设备将上述时间发送给移动终端。移动终端接收后，记录深度睡眠起始时间和结束时间，将结束时间减去起始时间，由此计算得到深度睡眠的时长并记录。移动终端记录每晚用户的睡眠状况，并可以以图表的方式呈现给用户，以便用户了解自己睡眠质量并依据睡眠质量自行调整睡眠习惯。
由此，通过实时监测用户的脉搏信息以判断用户睡眠质量，从而为用户提供睡眠质量监测数据，使用户可以更好的了解自己的睡眠状况，从而进一步调整睡眠习惯，由此得到健康的睡眠习惯。
为了使睡眠监测更具意义以及更好的提醒用户的自己的健康状况，在得到深度睡眠时长后，所述方法还可包括以下步骤：
步骤S120，所述移动终端将所述深度睡眠时长发送及当天所述运动量发送至云端以判断当天睡眠质量；
步骤S130，若当天睡眠质量不达标，则所述移动终端提醒用户进行睡眠提醒设置，将所述睡眠提醒设置发送至智能穿戴设备以指示所述智能穿戴设备在第二预设时间发出物理干扰以提示用户进行休息。
具体的，云端数据库中保存有不同运动量与最佳深度睡眠时长的对应关系，移动终端可以将计算得到的深度睡眠时长以及由智能穿戴在设备基本模式下侦测得到的运动数据计算而来的当天运动量发送至云端，由云端判断当天的睡眠质量。例如，若实际深度睡眠时长（即计算得到的深度睡眠时长）与最佳深度睡眠时长之比为0.9-1.1，则认为睡眠质量为极好；若实际深度睡眠时长与最佳深度睡眠时长之比为0.7-0.9，则认为睡眠质量为较好，以此类推。云端确定当天睡眠质量并反馈给移动终端。用户可以依据需要设定达标标准，例如，实际深度睡眠时长与最佳深度睡眠时长之比为0.6以上为达标，或睡眠质量为较好以上为达标。移动终端接收到当天睡眠质量后，若确定不达标，则可以通过弹窗提示用户进行睡眠提醒设置并将该睡眠提醒设置通知到智能穿戴设备，例如，将睡眠时间设定得更长，设定一第二预设时间作为新的睡眠提醒时间。接收到该睡眠提醒设置后，当第二预设时间一到，智能穿戴设备就会持续发出脉冲电波，对用户形成物理干扰以提示用户进行休息，直至侦测到用户进入睡眠状态，例如，侦测到用户姿势发生变化，或者用户手动关闭提醒功能。
本实施例所提供的基于智能穿戴设备的健康提醒方法，通过智能穿戴设备收集睡眠数据以及运动数据，由此结合判断用户的睡眠质量，并在睡眠质量较差时由智能穿戴设备发出物理干扰以提醒用户休息，相比于传统的消息提醒等方式更能有效提醒用户改善睡眠习惯，促进健康睡眠，使健康提醒更为全面，用户体验更好。
本发明第四实施例进一步提供一种基于智能穿戴设备的健康提醒系统，上述基于智能穿戴设备的健康提醒方法通过所述健康提醒系统实现。请参照图4，图4为本实施例提供的基于智能穿戴设备的健康提醒系统的功能模块示意图。在本实施例中，所述系统1包括智能穿戴设备10和移动终端20，所述智能穿戴设备10包括监测模块101、传输模块102以及提醒模块103，所述移动终端20包括接送模块201、分析模块202以及指示模块203，其中，
监测模块101，用于在夜间模式下智能穿戴设备持续监测周边音频输入，录制每次监测到的音频，保存所述音频；
传输模块102，用于将所述音频并发送至移动终端；
具体的，智能穿戴设备可以工作在不同的模式。例如，开机状态下默认开启基本模式，该模式下监测模块101将持续监测用户的运动信息，包括脉搏，运动轨迹和时间等。同时，在本实施例中，智能穿戴设备还可以工作在夜间模式时，夜间模式中，监测模块101将持续监测周边音频的输入，录制每次监测到的音频并保存，由此实现音频信息的收集。例如，用户打鼾时的打鼾声。优选地，用户可以设定智能穿戴设备进入夜间模式的时间，例如，用户若惯常睡眠时间为晚上10点至早上6点，则可以设定智能穿戴设备于每晚10点自动进入夜间模式，每天早上6点自动关闭夜间模式。进一步的，用户可以设定监测模块101收集音频信息的频率，例如，每隔60s开始录制3s的音频。监测模块101每录制完成一个音频，传输模块102则及时将该音频发送至移动终端。
可以理解的是，在本发明各实施例中，用户可以通过移动终端实现对智能穿戴设备的各种设定功能，更进一步的，移动终端无线连接智能穿戴设备后，用户可以通过移动终端上安装的智能穿戴设备的管理应用进行相应的设定，移动终端的将用户各项设定传输至智能穿戴设备以完成设定。移动终端也通过智能设备收集各种运动信息以及音频信息，以得到数据分析用户睡眠状况及运动状况。
接送模块201，用于接收所述音频；
分析模块202，用于判断所述音频是否为预设类型音频，若是，则分析所述音频以确认音频分贝；
具体的，接送模块201接收到智能穿戴设备发送的音频后，为避免误收集，例如，收集到环境中可能的其他杂音等，分析模块202还需判断该音频是否为鼾声。分析模块202分析该音频的声纹特征并将其与预先存储的人类鼾声声纹特征对比，若相似度超过预设，则认为该音频是用户鼾声。此时，分析模块201将该音频进行信号放大以便更好的判断该音频的声音大小，确定其音频分贝。
指示模块203，用于当所述音频分贝超过预设值时，发送预设指令至所述智能穿戴设备；
提醒模块103，用于当接收到所述预设指令时发出脉冲电波对用户进行物理提醒。
具体的，若该音频分贝超过预设值，例如65分贝，则说明用户睡眠时鼾声过大，需要刺激用户使其改变睡眠姿势以便改善或停止打鼾。此时，指示模块203向智能穿戴设备发送一预设指令，智能穿戴设备的提醒模块103接收到该预设指令后，通过自身的脉冲发生装置输出一持续一段时间的脉冲刺激到用户的皮肤上，该刺激将使用户产生反射行为，例如为肌肉反射而变换睡姿，或者下颚反射性收紧，由此使用户不再用嘴呼吸，达到降低或抑制鼾声的目的，实现了有效的物理提醒。优选的，指示模块203可以在连续三个音频分贝超过预设值后，才向智能穿戴设备发送该预设指令，以避免误判或偶然现象。
可以理解的是，当音频分贝并未超过预设值时，则认为此时用户睡眠正常，并无不健康的行为，因此，指示模块203可不做任何提示，智能穿戴设备可继续保持监测状态。
本实施例所提供的基于智能穿戴设备的健康提醒系统，监测模块在夜间模式下持续监测周边音频输入，录制每次监测到的音频，保存所述音频并由传输模块发送至移动终端；分析模块判断所述音频是否为预设类型音频，若是，则分析所述音频以确认音频分贝；指示模块当所述音频分贝超过预设值时，向所述智能穿戴设备发送预设指令以指示提醒模块发出脉冲电波对用户进行物理提醒。由此，智能穿戴设备在收集到声音时，可以由移动终端完成相应的判断并在确认用户打鼾时由智能穿戴设备发出脉冲电波以实现对用户的物理提醒，实现了止鼾器的功能，达到了有效提醒的目的。
本发明第五实施例中进一步另一种基于智能穿戴设备的健康提醒系统。基于第四实施例所提供的基于智能穿戴设备的健康提醒系统，在本实施例中，所述系统与第四实施例中所提供的健康提醒系统的区别仅在于：
监测模块101还用于持续监测用户每天的运动以得到每天的运动数据；
传输模块102还用于将所述运动数据发送至所述移动终端；
具体的，如上所述，智能设备开机状态下默认开启基本模式，该模式下监测模块101将持续监测用户的运动信息，包括脉搏，运动轨迹和时间等，实时存储以得到用户每天运动数据，传输模块102再将运动数据通过无线连接发送至移动终端。
接送模块201还用于接收并处理所述运动数据以确定用户运动量，将所述运动量和用户体能信息发送至云端以判断当天所述运动量是否达标；
具体的，接送模块201接收到用户当天运动数据后，依据预设公式计算用户当天的运动量，例如，消耗的卡里路或运动的步数等，将该运动量和用户体能信息一起发送至云端，由云端服务器数据库中记录的用户体能与运动量的关系曲线或对应关系判断用户当天运动量是否达标，并将判断结果反馈回移动终端。可以理解的是，依据用户运动数据计算运动量是当前智能穿戴领域的常规计算之一，故此处不做详细描述和说明。
优选地，移动终端还包括一输入模块204。此处，用户体能信息主要是指用户的身体基本信息，包括但不限于性别，年龄，体重等，可以由用户自行在移动终端上输入，也可以由移动终端提示用户输入，用户输入上述信息后，输入模块204接收并保存作为用户体能信息。可以理解的是，用户体能信息可以随时间变化，用户可以依据需要更新该信息。
指示模块203还用于在所述运动量未达标时提醒用户进行运动提醒设置，将所述运动提醒设置发送至所述智能穿戴设备；
提醒模块103还用于在接收到运动提醒设置后在第一预设时间发出物理干扰以提示用户进行运动；
具体的，若云端反馈的结果为用户当天运动量不达标，则指示模块203可以通过铃声或震动等方式提示用户进行运动提醒设置。或者，在移动终端未处于锁屏状态时直接弹出设置界面和提示框，提示用户在当前界面上进行运动提醒设置。详细的，指示模块203可以提示用户设定第二天开始运动的时间例如第一预设时间，以及第二天运动的时间长度，其中，该时间长度必须大于当天运动时间。用户设定完毕后，指示模块203将所述运动提醒设置发送至智能穿戴设备，则当第二天第一预设时间到达时，提醒模块103将发出脉冲电波刺激用户以形成物理干扰，提示用户进行运动。若第一预设时间到达而未侦测到用户进行运动（若用户运动则必然侦测到运动信息），则提醒模块103将持续发出脉冲电波以干扰用户，直接用户手动停止该提醒功能或用户开始运动。
本实施例所提供的健康提醒系统，通过智能穿戴设备收集用户运动数据，由移动终端进行运动量的计算，并在运动量不达标时提醒用户进行设置，以使智能穿戴设备通过持续物理干扰提醒用户进行运动。由此，智能穿戴设备除止鼾功能外，还实现了监测用户运动状况并进行物理提醒的目的，实现了全面的监测及提醒。
参照图5，图5为本发明第六实施例中提供的健康提醒系统的功能模块示意图。在本实施例中，所述健康提醒系统与第五实施例中所供的健康提醒系统的区别仅在于，所述智能穿戴设备还包括记录模块104，所述移动终端还包括计算模块205，其中，
监测模块101还用于夜间模式下所述智能穿戴设备还以预设时间间隔持续监测用户在不同时刻预设时长内的脉搏信息，所述脉搏信息包括脉搏频率和脉搏强度；
如上所述，当智能穿戴设备工作在夜间模式，监测模块101除了持续监测周边音频输入，还可以以预设时间间隔监测用户在不同时刻预设时长内的脉搏信息，例如，每隔5分钟监测一次用户脉搏信息，监测时长为5s。此处，脉搏信息包括脉搏频率和脉搏强度。
记录模块104用于当所述脉搏信息首次满足第一预设条件时，记录所述脉搏信息对应的第一时刻为深度睡眠起始时间；
记录模块104还用于在所述第一时刻后，当所述脉搏频率大于第二预设频率且所述脉搏强度大于第二预设强度时，记录所述脉搏信息对应的第二时刻为深度睡眠结束时间；
具体的，测得脉搏信息后，若脉搏频率不大于第一预设频率且脉搏强度不大于第一预设强度（此处可设为第一预设条件），则认为此时用户已经进入深度睡眠状态，若脉搏频率大于第二预设频率且所述脉搏强度大于第二预设强度（此处可设为第二预设条件），则可以认为用户此时仍未进入深度睡眠状态或已经解除深度睡眠状态，因此，当脉搏频率第一次不大于第一预设频率且此时脉搏强度不大于第一预设强度，则认为是用户开始进入深度睡眠状态，该脉搏信息对应的第一时刻即为深度睡眠起始时间。此后，即在第一时刻之后，智监测模块101继续以预设时间间隔持续监测用户在不同时刻预设时长内的脉搏信息，若每次侦测到的脉搏信息仍维持在一定范围内恒定，即依旧满足第一预设条件，则判定用户仍处于深度睡眠状态。直至脉搏信息变化到满足第二预设条件时，即脉搏频率大于第二预设频率且脉搏强度大于第二预设强度时，则可以判定用户已经解除了深度睡眠状态，此次脉搏信息对应的第二时刻即为深度睡眠的结束时间，很明显的，第二时刻必然晚于第一时刻。
传输模块102还用于将所述深度睡眠起始时间和结束时间发送至所述移动终端；
接送模块201还用于接收所述深度睡眠起始时间和结束时间；
计算模块205还用于依据深度睡眠起始时间和结束时间计算得到深度睡眠时长并记录。
具体的，记录模块104记录到深度睡眠起始时间和结束时间后，传输模块102将上述时间发送给移动终端。移动终端的接送模块201接收后，计算模块205记录深度睡眠起始时间和结束时间，将结束时间减去起始时间，由此计算得到深度睡眠的时长并记录。计算模块205记录每晚用户的睡眠状况，并可以以图表的方式呈现给用户，以便用户了解自己睡眠质量并依据睡眠质量自行调整睡眠习惯。
由此，通过实时监测用户的脉搏信息以判断用户睡眠质量，从而为用户提供睡眠质量监测数据，使用户可以更好的了解自己的睡眠状况，从而进一步调整睡眠习惯，由此得到健康的睡眠习惯。
为了使睡眠监测更具意义以及更好的提醒用户的自己的健康状况，在得到深度睡眠时长后，
接送模块201还用于将所述深度睡眠时长发送及当天所述运动量发送至云端以判断当天睡眠质量；
指示模块203还用于在当天睡眠质量不达标时提醒用户进行睡眠提醒设置，将所述睡眠提醒设置发送至智能穿戴设备；
提醒模块103还用于在接收到所述睡眠提醒设置后在第二预设时间发出物理干扰以提示用户进行休息。
具体的，云端数据库中保存有不同运动量与最佳深度睡眠时长的对应关系，接送模块201可以将计算得到的深度睡眠时长以及由监测模块101在设备基本模式下侦测得到的运动数据计算而来的当天运动量发送至云端，由云端判断当天的睡眠质量。例如，若实际深度睡眠时长（即计算得到的深度睡眠时长）与最佳深度睡眠时长之比为0.9-1.1，则认为睡眠质量为极好；若实际深度睡眠时长与最佳深度睡眠时长之比为0.7-0.9，则认为睡眠质量为较好，以此类推。云端确定当天睡眠质量并反馈给移动终端。用户可以依据需要设定达标标准，例如，实际深度睡眠时长与最佳深度睡眠时长之比为0.6以上为达标，或睡眠质量为较好以上为达标。接收到当天睡眠质量后，若指示模块203确定不达标，则可以通过弹窗提示用户进行睡眠提醒设置并将该睡眠提醒设置通知到智能穿戴设备，例如，将睡眠时间设定得更长，设定一第二预设时间作为新的睡眠提醒时间。接收到该睡眠提醒设置后，当第二预设时间一到，提醒模块103就会持续发出脉冲电波，对用户形成物理干扰以提示用户进行休息，直至侦测到用户进入睡眠状态，例如，侦测到用户姿势发生变化，或者用户手动关闭提醒功能。
本实施例所提供的基于智能穿戴设备的健康提醒系统，通过智能穿戴设备收集睡眠数据以及运动数据，由此结合判断用户的睡眠质量，并在睡眠质量较差时由智能穿戴设备发出物理干扰以提醒用户休息，相比于传统的消息提醒等方式更能有效提醒用户改善睡眠习惯，促进健康睡眠，使健康提醒更为全面，用户体验更好。
以上仅为本发明的优选实施例，并非因此限制本发明的专利范围，凡是利用本发明说明书及附图内容所作的等效结构或等效流程变换，或直接或间接运用在其他相关的技术领域，均同理包括在本发明的专利保护范围内。
Claims (10)
- 一种基于智能穿戴设备的健康提醒方法，其特征在于，所述方法包括：夜间模式下智能穿戴设备持续监测周边音频输入，录制每次监测到的音频，保存所述音频并发送至移动终端；所述移动终端判断所述音频是否为预设类型音频，若是，则分析所述音频以确认音频分贝；当所述音频分贝超过预设值时，所述移动终端向所述智能穿戴设备发送预设指令以指示所述智能穿戴设备发出脉冲电波对用户进行物理提醒。
- 根据权利要求1所述的健康提醒方法，其特征在于，所述方法还包括：所述智能穿戴设备还持续监测用户每天的运动以得到每天的运动数据，将所述运动数据发送至所述移动终端；所述移动终端接收并处理所述运动数据以确定用户运动量，将所述运动量和用户体能信息发送至云端以判断当天所述运动量是否达标；若未达标，则所述移动终端提醒用户进行运动提醒设置，将所述运动提醒设置发送至所述智能穿戴设备以指示所述智能穿戴设备在第一预设时间发出物理干扰以提示用户进行运动。
- 根据权利要求2所述的健康提醒方法，其特征在于，所述方法还包括：夜间模式下所述智能穿戴设备还以预设时间间隔持续监测用户在不同时刻预设时长内的脉搏信息，所述脉搏信息包括脉搏频率和脉搏强度；当所述脉搏信息首次满足第一预设条件时，记录所述脉搏信息对应的第一时刻为深度睡眠起始时间；其中，所述第一预设条件为所述脉搏频率不大于第一预设频率且所述脉搏强度不大于第一预设强度；所述第一时刻后，当所述脉搏频率大于第二预设频率且所述脉搏强度大于第二预设强度时，记录所述脉搏信息对应的第二时刻为深度睡眠结束时间；所述智能穿戴设备将所述深度睡眠起始时间和结束时间发送至所述移动终端;所述移动终端依据深度睡眠起始时间和结束时间计算得到深度睡眠时长并记录。
- 根据权利要求3所述的健康提醒方法，其特征在于，所述方法还包括：所述移动终端将所述深度睡眠时长发送及当天所述运动量发送至云端以判断当天睡眠质量；若当天睡眠质量不达标，则所述移动终端提醒用户进行睡眠提醒设置，将所述睡眠提醒设置发送至智能穿戴设备以指示所述智能穿戴设备在第二预设时间发出物理干扰以提示用户进行休息。
- 根据权利要求2所述的健康提醒方法，其特征在于，所述方法还包括：所述移动终端接收用户输入的体能信息并保存。
- 一种基于智能穿戴设备的健康提醒系统，其特征在于：所述系统包括智能穿戴设备和移动终端，其中；所述智能穿戴设备包括：监测模块，用于在夜间模式下智能穿戴设备持续监测周边音频输入，录制每次监测到的音频，保存所述音频；传输模块，用于将所述音频发送至所述移动终端；提醒模块，用于当接收到预设指令时发出脉冲电波对用户进行物理提醒；所述移动终端包括：接送模块，用于接收所述音频；分析模块，用于判断所述音频是否为预设类型音频，若是，则分析所述音频以确认音频分贝；指示模块，用于当所述音频分贝超过预设值时，发送所述预设指令至所述智能穿戴设备。
- 根据权利要求6所述的健康提醒系统，其特征在于：所述监测模块还用于持续监测用户每天的运动以得到每天的运动数据；所述传输模块还用于将所述运动数据发送至所述移动终端；所述提醒模块还用于在接收到运动提醒设置后在第一预设时间发出物理干扰以提示用户进行运动；对应的；所述接送模块还用于接收并处理所述运动数据以确定用户运动量，将所述运动量和用户体能信息发送至云端以判断当天所述运动量是否达标；所述指示模块还用于在所述运动量未达标时提醒用户进行运动提醒设置，并将所述运动提醒设置发送至所述智能穿戴设备。
- 根据权利要求7所述的健康提醒系统，其特征在于：所述智能穿戴设备还包括记录模块；所述监测模块还用于在夜间模式下以预设时间间隔持续监测用户在不同时刻预设时长内的脉搏信息，所述脉搏信息包括脉搏频率和脉搏强度；所述记录模块用于当所述脉搏信息首次满足第一预设条件时，记录所述脉搏信息对应的第一时刻为深度睡眠起始时间；其中，所述第一预设条件为所述脉搏频率不大于第一预设频率且所述脉搏强度不大于第一预设强度；所述记录模块还用于在所述第一时刻后，当所述脉搏频率大于第二预设频率且所述脉搏强度大于第二预设强度时，记录所述脉搏信息对应的第二时刻为深度睡眠结束时间；所述传输模块还用于将所述深度睡眠起始时间和结束时间发送至所述移动终端；对应的，所述移动终端还包括计算模块；所述接送模块还用于接收所述深度睡眠起始时间和结束时间；所述计算模块用于依据深度睡眠起始时间和结束时间计算得到深度睡眠时长并记录。
- 根据权利要求8所述的健康提醒系统，其特征在于：所述接送模块还用于将所述深度睡眠时长发送及当天所述运动量发送至云端以判断当天睡眠质量；所述指示模块还用于在当天睡眠质量未达标时提醒用户进行睡眠提醒设置，并将所述睡眠提醒设置发送至所述智能穿戴设备；对应的，所述提醒模块还用于在接收到所述睡眠提醒设置后在第二预设时间发出物理干扰以提示用户进行休息。
- 根据权利要求7所述的健康提醒系统，其特征在于：所述移动终端还包括输入模块，用于接收用户输入的体能信息并保存。
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