Analysis module, analysis system, electronic device, and analysis method

Abstract

The invention provides an analysis module, an analysis system, an electronic device and an analysis method. The analysis module comprises a user sleep data extraction unit, a standard sleep data extraction unit, a sleep data analysis unit, a sleep score conversion unit and a sleep score display unit. The user sleep data extraction unit and the standard sleep data extraction unit respectively obtain user sleep data and standard sleep data. The sleep data analysis unit compares the user sleep data with the standard sleep data and generates a sleep analysis result. The sleep score conversion unit converts the sleep analysis result into a sleep index score, a sleep quality score and a sleep index graph. And the sleep score display unit displays the sleep index score, the sleep quality score and the sleep index graph. Therefore, various sleep analysis results can be evaluated and improved for the user.

Description

Technical Field

[0001] The present disclosure relates to an analysis module, an analysis system, an electronic device, and an analysis method, and particularly to an analysis module, an analysis system, and an analysis method applied to an electronic device. Background Art

[0002] Although the current wearable devices with sleep monitoring functions can help users collect their sleep data, the aforementioned wearable devices can only present the sleep data and cannot help users evaluate their own sleep quality. Therefore, a system with an analysis function needs to be used additionally. Although the aforementioned system can help users analyze the sleep data, it provides the sleep analysis results in a complex presentation manner, resulting in users being unable to clearly understand their own sleep quality. To help users quickly and accurately understand their own sleep quality, it is necessary to actively develop a method that combines rapid analysis and accurate presentation. Summary of the Invention

[0003] The analysis module, analysis system, electronic device, and analysis method provided by the present disclosure convert complex sleep data into simple sleep analysis results through the comparison and analysis functions of the analysis module, and provide users with an easy-to-understand sleep quality analysis through various display functions of the analysis module, which helps users evaluate and improve various sleep analysis results.

[0004] According to the present disclosure, an analysis module is provided, which includes a user sleep data extraction unit, a standard sleep data extraction unit, a sleep data analysis unit, a sleep score conversion unit, and a sleep score display unit. The user sleep data extraction unit is used to extract a user sleep data from a storage module. The standard sleep data extraction unit is used to extract a corresponding standard sleep data from the storage module. The sleep data analysis unit is used to compare the user sleep data with the standard sleep data and generate at least one sleep analysis result. The sleep score conversion unit is used to convert at least one sleep analysis result into at least one sleep index score, a sleep quality score, and a sleep index graph. The sleep score display unit is used to display at least one sleep index score, the sleep quality score, and the sleep index graph, and the sleep index graph is a radar chart.

[0005] According to the present disclosure, an analysis system is provided, which includes the aforementioned analysis module and a storage module. The storage module is coupled to the analysis module.

[0006] According to the present disclosure, an electronic device is provided, which includes the aforementioned analysis system.

[0007] Accordingly, the analysis module, analysis system, and electronic device provided by the present disclosure can convert complex sleep data into simple sleep analysis results through the comparison and analysis functions of the analysis module, greatly improving the analysis efficiency; through the various display functions of the analysis module, it can provide users with an easy-to-understand sleep quality analysis, which helps to enhance users' understanding of their own sleep quality; by presenting in a radar chart, it concisely shows the distribution of the advantages and disadvantages of each sleep index score, which helps users evaluate and improve each sleep analysis result.

[0008] According to the present disclosure, an analysis module is provided, which includes a user sleep data extraction unit, a standard sleep data extraction unit, a sleep data analysis unit, a sleep score conversion unit, and a sleep score display unit. The user sleep data extraction unit is used to extract a user sleep data from a storage module. The standard sleep data extraction unit is used to extract a corresponding standard sleep data from the storage module. The sleep data analysis unit is used to compare the user sleep data with the standard sleep data and generate at least three sleep analysis results. The sleep score conversion unit is used to convert at least three sleep analysis results into at least three sleep index scores, at least one sleep quality score, and a sleep index graph, and at least three sleep analysis results include at least one of slow wave force, respiratory force, falling asleep force, persistence force, and length force. The sleep score display unit is used to display at least three sleep index scores, the sleep quality score, and the sleep index graph.

[0009] According to the present disclosure, an analysis system is provided, which includes the aforementioned analysis module and a storage module. The storage module is coupled to the analysis module.

[0010] According to the present disclosure, an electronic device is provided, which includes the aforementioned analysis system.

[0011] Accordingly, the analysis module, analysis system, and electronic device provided by the present disclosure can convert complex sleep data into simple sleep analysis results through the comparison and analysis functions of the analysis module, greatly improving the analysis efficiency; through the various display functions of the analysis module, it can provide users with an easy-to-understand sleep quality analysis, which helps to enhance users' understanding of their own sleep quality; by analyzing the slow wave force, respiratory force, falling asleep force, persistence force, and length force, which are most relevant to sleep quality, it provides users with the most accurate sleep quality analysis, which helps to improve the sleep evaluation accuracy of the analysis module.

[0012] According to the present disclosure, an analysis method is provided, which includes driving an analysis module to extract user sleep data from a storage module. Driving the analysis module to extract corresponding standard sleep data from the storage module. Driving the analysis module to compare the user sleep data with the standard sleep data and generate at least one sleep analysis result. Driving the analysis module to convert at least one sleep analysis result into at least one sleep index score, a sleep quality score, and a sleep index graph. Driving the analysis module to display at least one sleep index score, the sleep quality score, and the sleep index graph, and the sleep index graph is a radar chart.

[0013] Thereby, the analysis method provided by the present disclosure can convert complex sleep data into simple sleep analysis results through a method that can quantify various sleep indices, greatly improving the analysis efficiency; through a method that can simply present the sleep quality, it gives users an easy-to-understand sleep quality analysis, which helps to enhance users' understanding of their own sleep quality; by presenting in a radar chart, it concisely shows the distribution of the advantages and disadvantages of each sleep index score, which helps users evaluate and improve each sleep analysis result. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 A block diagram showing an analysis system according to a first embodiment of the present disclosure;

[0015] Figure 2 Showing according to Figure 1 A block diagram of the analysis module in the first embodiment;

[0016] Figure 3 Showing according to Figure 2 A schematic diagram showing some units of the analysis module in the first embodiment displayed on the user interface;

[0017] Figure 4 Showing according to Figure 2 A schematic diagram of the user interface in the first example of the first embodiment;

[0018] Figure 5 Showing according to Figure 2 A schematic diagram of the user interface in the second example of the first embodiment;

[0019] Figure 6 Showing according to Figure 2 A schematic diagram of the sleep index graph in the third example of the first embodiment;

[0020] Figure 7 Showing according to Figure 2 A schematic diagram of the sleep index graph in the fourth example of the first embodiment;

[0021] Figure 8 Showing according to Figure 2Schematic diagram of sleep index graph in the fifth embodiment of the first embodiment;

[0022] Figure 9 Flow schematic diagram of an analysis method according to the second embodiment of the present disclosure;

[0023] Figure 10A Stereo schematic diagram of an electronic device according to the third embodiment of the present disclosure; and

[0024] Figure 10B Illustrating in accordance with Figure 10A Block diagram of the electronic device according to the third embodiment.

[0025]

Symbol description

[0026] 100, 310: Analysis system

[0027] 110: Analysis module

[0028] 111: User sleep data extraction unit

[0029] 112: Standard sleep data extraction unit

[0030] 113: Sleep data analysis unit

[0031] 114: Sleep score conversion unit

[0032] 115: Sleep score display unit

[0033] 116: Sleep interval display unit

[0034] 117: Sleep posture display unit

[0035] 118: Sleep advice display unit

[0036] 120: Access module

[0037] 200: Analysis method

[0038] 210, 220, 230, 240, 250: Steps

[0039] 300: Electronic device

[0040] 320, UI: User interface

[0041] G: Sleep index graph

[0042] IG: Sleep index score

[0043] IG1: Index number score

[0044] IG2: Index number full score

[0045] IG3: Index English Letter Score

[0046] IG4: Index Character Score

[0047] IG5: Index Percentage

[0048] P: Sleeping Posture Data

[0049] QG: Sleep Quality Score

[0050] QG1: Quality Numerical Score

[0051] QG2: Quality Numerical Full Score

[0052] QG3: Quality English Letter Score

[0053] QG4: Quality Character Score

[0054] QG5: Quality Percentage

[0055] S: Sleep Suggestion

[0056] T: Sleep Interval Detailed Implementation Manner

[0057] The present disclosure provides an analysis module, including a user sleep data extraction unit, a standard sleep data extraction unit, a sleep data analysis unit, a sleep score conversion unit, and a sleep score display unit. The user sleep data extraction unit extracts a user sleep data from a storage module. The standard sleep data extraction unit extracts a corresponding standard sleep data from the storage module. The sleep data analysis unit compares the user sleep data with the standard sleep data and generates at least one sleep analysis result. The sleep score conversion unit converts at least one sleep analysis result into at least one sleep index score, a sleep quality score, and a sleep index graph. The sleep score display unit displays at least one sleep index score, the sleep quality score, and the sleep index graph, and the sleep index graph is a radar chart. Through the comparison and analysis functions of the analysis module, the complex sleep data is converted into a simple sleep analysis result, which can greatly improve the analysis efficiency; through the various display functions of the analysis module, an easy-to-understand sleep quality analysis can be given to the user, which helps to enhance the user's understanding of their own sleep quality; by displaying in a radar chart, the advantages and disadvantages distribution of each sleep index score is concisely presented, which helps the user to evaluate and improve each sleep analysis result.

[0058] The sleep analysis result includes at least one of slow wave force, breathing force, falling asleep force, persistence force, and length force. By analyzing the slow wave force, breathing force, falling asleep force, persistence force, and length force that are most relevant to sleep quality, the most accurate sleep quality analysis is provided to the user, which helps to improve the sleep evaluation accuracy of the analysis module.

[0059] The sleep index scores are arranged around the sleep index graph. By simultaneously displaying the sleep index scores and the sleep index graph, the user does not need to view the data and the graph in multiple screens, which helps to improve the reading convenience.

[0060] The sleep score display unit displays an index numerical score. By providing a score represented by numbers, it offers a more intuitive scoring method for users who are accustomed to comparing numbers.

[0061] The sleep score display unit displays an index numerical full score, and the index numerical full score overlaps with the sleep index graph. By simultaneously displaying the index numerical full score and the sleep index graph, the user can quickly understand the advantages and disadvantages of their own various sleep analysis results on the sleep index graph.

[0062] The sleep score display unit displays a quality letter score. By providing a score represented by letters, it offers a more intuitive scoring method for users who are accustomed to comparing letters.

[0063] The sleep score display unit displays a quality numerical full score. By simultaneously displaying the user's sleep quality score and the quality numerical full score, the user can quickly understand the advantages and disadvantages of their own sleep quality.

[0064] The sleep score display unit displays an index percentage. By displaying the index percentage, the user can understand the advantages and disadvantages of their own sleep index among the data groups.

[0065] The sleep score display unit displays a quality percentage. By displaying the quality percentage, the user can understand the advantages and disadvantages of their own sleep quality among the data groups.

[0066] The analysis module also includes a sleep interval display unit. Through the sleep interval display unit, the user can quickly view their own sleep interval, which helps to improve the system convenience.

[0067] The analysis module also includes a sleeping posture display unit. Through the sleeping posture time display function, it can provide the user with the sleeping posture data during sleep, which helps the user to understand their own sleeping posture habits.

[0068] The sleep index graph is a pie chart, which is transformed from at least two sleep analysis results. The at least two sleep analysis results include the sleeping posture and sleep breathing. By simultaneously displaying the sleeping posture and sleep breathing in a pie chart, it helps the user to understand the correlation between the sleeping posture and sleep breathing, and can help the user to find the best sleeping posture to improve sleep quality.

[0069] The sleep index graph is a curve graph, which is transformed from at least one sleep analysis result. At least one sleep analysis result includes the number of turns or the number of times getting out of bed. By showing the sleep analysis result of the number of turns through the curve graph, it can help the user understand the suitability of the bedding and contribute to the user's improvement of sleep quality by selecting bedding; by showing the sleep analysis result of the number of times getting out of bed through the curve graph, it can help the user understand the degree of frequent urination.

[0070] The analysis module further includes a sleep advice display unit. Through the sleep advice function, it can give the user directions for improving sleep quality and contribute to assisting the user in enhancing sleep quality.

[0071] Each technical feature in the analysis module of the above disclosure content can be combined and configured to achieve the corresponding effects.

[0072] The analysis module described in this disclosure refers to a unit with data extraction, comparison, and analysis functions in a processor, microprocessor, central processing unit (CPU), mobile device processor, cloud processor, or other electronic computing processors.

[0073] The sleep data described in this disclosure refers to measurable data related to sleep. Sleep data includes the duration of deep sleep, sleep duration, time in bed, number of breathing events, time to enter light sleep, number of times getting out of bed, blood oxygen concentration, sleeping position, sleeping position time, number of turns, heart rate, blood pressure, electrocardiogram rhythm, etc. The analysis module can extract at least one sleep data item, at least two sleep data items, at least three sleep data items, at least four sleep data items, at least five sleep data items, at least six sleep data items, at least seven sleep data items, at least eight sleep data items, at least nine sleep data items, and at least ten sleep data items.

[0074] The user sleep data extraction unit described in this disclosure can extract at least one user sleep data item, at least two user sleep data items, at least three user sleep data items, at least four user sleep data items, at least five user sleep data items, at least six user sleep data items, at least seven user sleep data items, at least eight user sleep data items, at least nine user sleep data items, or at least ten user sleep data items from the access module. User sleep data refers to the sleep data of a specific user, usually obtained by measuring with a sleep monitoring instrument.

[0075] The standard sleep data extraction unit described in this disclosure can extract at least one item of standard sleep data, at least two items of standard sleep data, at least three items of standard sleep data, at least four items of standard sleep data, at least five items of standard sleep data, at least six items of standard sleep data, at least seven items of standard sleep data, at least eight items of standard sleep data, at least nine items of standard sleep data, or at least ten items of standard sleep data from the access module. Standard sleep data refers to sleep data used as a comparison standard, and standard sleep data is usually obtained from research results. Standard sleep data will vary depending on factors such as the user's age and gender. For example: If the user is a 35-year-old male, the standard sleep data can be the optimal sleep data for men aged 30 to 39 provided by a sleep research institution; if the user is a 40-year-old female, the standard sleep data can be the optimal sleep data for women aged 40 to 49 provided by a sleep research institution; if the user is an 11-year-old male, the standard sleep data can be the optimal sleep data for boys aged 7 to 11 provided by a sleep research institution; if the user is an 18-year-old female, the standard sleep data can be the optimal sleep data for girls aged 12 to 18 provided by a sleep research institution.

[0076] The sleep data analysis unit described in this disclosure can compare the user's sleep data with the standard sleep data and generate a sleep analysis result.

[0077] The sleep analysis result described in this disclosure is the result of analyzing and comparing the user's sleep data with the standard sleep data; among them, the sleep analysis result can also be replaced by the term "sleep power". Each sleep analysis result can be selected from slow wave power, respiratory power, falling asleep power, persistence power, or length power. Each sleep analysis result can also be selected from deep sleep duration, sleep duration, time in bed, number of respiratory events, time to first light sleep, number of times getting out of bed, blood oxygen concentration, sleeping position, sleeping position time, number of turns, heart rate, blood pressure, or electrocardiogram rhythm, etc.

[0078] The slow wave power described in this disclosure is obtained by calculating the proportion of deep sleep duration in the sleep duration and is a sleep index for evaluating the quality of deep sleep. The slow wave power calculation formula is as follows: deep sleep duration / sleep duration; where the deep sleep duration is the total duration of the deep sleep period marked by the electrocardiogram signal. Slow wave power can also be replaced by terms such as slow wave ratio and slow wave sleep.

[0079] The respiratory power described in this disclosure is obtained by calculating the proportion of the number of respiratory events in the sleep duration and is a sleep index for evaluating respiratory disorders. The respiratory power calculation formula is as follows: number of respiratory events / sleep duration; where a respiratory event is an abnormal breathing condition such as apnea or a change in respiratory rate. Respiratory power can also be replaced by terms such as sleep breathing and respiratory sleep.

[0080] The falling asleep ability described in this disclosure is obtained by calculating the time to enter light sleep for the first time, and it is a sleep indicator for evaluating sleep disorders; among them, the time to enter light sleep for the first time refers to how long it takes to fall asleep after going to bed. The falling asleep ability can also be replaced by terms such as falling asleep capacity and falling asleep speed.

[0081] The persistence ability described in this disclosure is obtained by calculating the ratio of sleep duration to time in bed and subtracting the number of times getting out of bed, and it is a sleep indicator for evaluating the problem of easy waking. The formula for calculating the persistence ability is as follows: sleep duration / time in bed - the number of times getting out of bed; among them, the time in bed is the total time from when the user lies in bed to getting up and getting out of bed. The persistence ability can also be replaced by terms such as sleep persistence and continuous sleep.

[0082] The length ability described in this disclosure is obtained by calculating the time in bed, and it is a sleep indicator for evaluating whether the sleep is sufficient. The length ability can also be replaced by terms such as sleep length and total sleep length.

[0083] The sleep score conversion unit described in this disclosure can convert the sleep analysis results into sleep indicator scores, sleep quality scores, and sleep indicator graphs.

[0084] The sleep score display unit described in this disclosure can display sleep indicator scores, sleep quality scores, and sleep indicator graphs, and the sleep indicator scores and sleep quality scores can be arbitrarily selected and arbitrarily arranged around the sleep indicator graph or overlapped on the sleep indicator graph.

[0085] The sleep indicator score described in this disclosure refers to the score converted from the sleep analysis results, which can represent the quality of a single sleep analysis result; the sleep indicator score can be converted from slow wave force, breathing force, falling asleep ability, persistence ability, and length ability; the sleep indicator score can include indicator digital score, indicator digital full score, indicator English letter score, indicator text score, and indicator percentage.

[0086] The indicator digital score described in this disclosure can be an integer number or a non-integer number between 0 - 1, 0 - 10, 0 - 100, 0 - 500, or 0 - 1000, and the size of the number is used as the standard for quality; the upper limit of the indicator digital score is the indicator digital full score, and the indicator digital full score can be 1, 5, 10, 20, 30, 50, 100, 200, 500, or 1000; when the scoring method of the sleep indicator score is a number, the indicator digital score and the indicator digital full score can be displayed simultaneously. For example: the display of the indicator digital score and the indicator digital full score can be 0.1 / 1, 4.1 / 5, 8.9 / 10, and 11.1 / 20.

[0087] The alphabetic scoring of the indicators described in this disclosure may include English letters such as A, B, C, D, E, F, G, H, I, J, K, L, M, N, O, P, Q, R, S, T, U, V, W, X, Y, or Z, and the advantages and disadvantages represented by the English letters are customized. For example, the full score of the alphabetic scoring of the indicator can be A, the full score of the alphabetic scoring of the indicator can be A+, the full score of the alphabetic scoring of the indicator can be S, the full score of the alphabetic scoring of the indicator can be S+, the full score of the alphabetic scoring of the indicator can be SS, the full score of the alphabetic scoring of the indicator can be SSS, and the full score of the alphabetic scoring of the indicator can be L.

[0088] The text scoring of the indicators described in this disclosure may include words such as excellent, good, fine, poor, bad, not good, good, not good, extreme, or best, and the full score is obtained by combining the customized words. For example, the full score of the text scoring of the indicator can be extremely good, extremely excellent, best, optimal, excellent, or good.

[0089] The indicator percentage described in this disclosure is obtained by comparing the sleep analysis results of the user with those of the data group, and refers to the proportion of the advantages and disadvantages of a single sleep analysis result in the data group. For example, an indicator percentage of 80% means that the user's sleep analysis results are better than 80% of other users in the data group; the data group of the indicator percentage can be screened according to conditions such as age, gender, occupation, race, region, and country; the indicator percentage can be obtained by comparing the analysis results of slow wave force, breathing force, falling asleep force, persistence force, and length force.

[0090] The sleep quality scoring described in this disclosure refers to the scoring converted from multiple sleep analysis results, which can represent the comprehensive advantages and disadvantages of multiple sleep analysis results. The sleep quality scoring can be converted from at least one sleep analysis result, at least two sleep analysis results, at least three sleep analysis results, at least four sleep analysis results, at least five sleep analysis results, at least six sleep analysis results, at least seven sleep analysis results, at least eight sleep analysis results, at least nine sleep analysis results, or at least ten sleep analysis results; the multiple sleep analysis results converted into the sleep quality scoring can be selected from at least one of slow wave force, breathing force, falling asleep force, persistence force, and length force. The sleep quality scoring can include quality numerical scoring, quality numerical full score, quality alphabetic scoring, quality text scoring, and quality percentage.

[0091] The quality digital score described in this disclosure can be an integer or non-integer number between 0 and 1, 0 and 10, 0 and 100, 0 and 500, or 0 and 1000, with the size of the number as the criterion for good or bad; the upper limit of the quality digital score is the full score of the quality digital score, and the full score of the quality digital score can be 1, 5, 10, 20, 30, 50, 100, 200, 500, or 1000; when the scoring method of the sleep quality score is a number, the quality digital score and the full score of the quality digital score can be displayed simultaneously. For example, the quality digital score and the full score of the quality digital score can be displayed as 0.1 / 1, 4.1 / 5, 8.9 / 10, and 11.1 / 20.

[0092] The quality English letter score described in this disclosure can include English letters such as A, B, C, D, E, F, G, H, I, J, K, L, M, N, O, P, Q, R, S, T, U, V, W, X, Y, Z, etc., and the advantages and disadvantages represented by the English letters are customized. For example, the full score of the quality score in English letters can be A, the full score of the quality score in English letters can be A+, the full score of the quality score in English letters can be S, the full score of the quality score in English letters can be S+, the full score of the quality score in English letters can be SS, the full score of the quality score in English letters can be SSS, and the full score of the quality score in English letters can be L.

[0093] The quality text score described in this disclosure can include words such as excellent, good, fine, poor, bad, not good, good, not good, extremely, or most, etc., and the full score after customizing the text combination. For example, the full score of the quality text can be extremely good, extremely excellent, best, optimal, excellent, or good.

[0094] The quality percentage described in this disclosure is obtained by comparing the sleep analysis results of multiple users with the sleep analysis results of the data group, and refers to the proportion of the advantages and disadvantages of sleep quality in the data group. For example, the quality percentage is 80%, indicating that the sleep quality of the user is better than 80% of other users in the data group; the data group of the quality percentage can be screened according to conditions such as age, gender, occupation, race, region, and country; the quality percentage can be obtained by comparing at least one sleep analysis result, at least two sleep analysis results, at least three sleep analysis results, at least four sleep analysis results, at least five sleep analysis results, at least six sleep analysis results, at least seven sleep analysis results, at least eight sleep analysis results, at least nine sleep analysis results, or at least ten sleep analysis results; the multiple sleep analysis results for the quality percentage comparison can be selected from at least one, at least two, at least three, or at least four of slow wave force, respiratory force, falling asleep force, persistence force, and length force.

[0095] The sleep index graph described in this disclosure refers to a graph transformed from sleep analysis results, which can indicate the advantages and disadvantages of various sleep analysis results; the sleep index graph can be a radar chart, a pie chart, a bell curve graph, a line graph, a circular graph, a pie graph, a bar graph, a horizontal bar graph, a line graph, an XY scatter plot, a surface graph, or a radial ring graph; the sleep index graph can include at least one sleep analysis result, at least two sleep analysis results, at least three sleep analysis results, at least four sleep analysis results, at least five sleep analysis results, at least six sleep analysis results, at least seven sleep analysis results, at least eight sleep analysis results, at least nine sleep analysis results, or at least ten sleep analysis results; the sleep analysis results included in the sleep index graph can be selected from at least one, at least two, at least three, or at least four of slow wave force, breathing force, falling asleep force, persistence force, and length force.

[0096] The sleep interval display unit described in this disclosure is used to display the sleep interval of the user. The sleep interval refers to the time interval from the first non-awake time to the last non-awake time. If the user has insomnia or other situations, the sleep interval takes the previous non-awake time when the user clearly no longer tries to sleep as the last non-awake time. The sleep interval is usually obtained by measuring with a sleep monitoring instrument.

[0097] The sleeping posture display unit described in this disclosure is used to display the sleeping posture time of the user. The sleeping posture time refers to the total duration of the user in various sleeping postures during the sleep interval. Various sleeping postures can include supine, left lateral position, right lateral position, prone position, and other sleeping postures. The sleeping posture time is usually obtained by measuring with a sleep monitoring instrument.

[0098] The sleep advice display unit described in this disclosure provides sleep advice according to the sleep analysis results and displays the sleep advice. The sleep advice refers to advice that helps the user improve sleep quality.

[0099] This disclosure provides an analysis system, including the aforementioned analysis module and access module, wherein the analysis module can extract the sleep data of the access module and perform comparison and analysis.

[0100] The access module described in this disclosure is composed of a database. The database can store a large amount of sleep data. The database can be a local database or a network database. Specifically, the database can be a memory, a disk drive, or a hard disk. The access module can include at least one database, at least two databases, at least three databases, at least four databases, at least five databases, at least six databases, at least seven databases, at least eight databases, at least nine databases, at least ten databases, and the access module can include up to thousands to tens of thousands of databases at most, where the databases can be the first database, the second database, the third database, the fourth database, the fifth database, the sixth database, the seventh database, the eighth database, the ninth database, and the tenth database, and so on. The memory can be a random access memory (RAM) that can store information and instructions for the analysis module to execute or other types of dynamic storage devices.

[0101] This disclosure provides an electronic device, including the aforementioned analysis system and a user interface. The electronic device provided in this disclosure can be a mobile phone, a sleep monitoring instrument, a tablet computer, a desktop computer, a notebook computer, a smart bracelet, a smart watch, and an electronic wearable device. The user interface of this disclosure can be a touch screen or a display screen.

[0102] This disclosure provides an analysis method, including driving the aforementioned analysis module to extract user sleep data from the aforementioned access module. Driving the analysis module to extract corresponding standard sleep data from the access module. Driving the analysis module to compare the user sleep data with the standard sleep data and generate a sleep analysis result. Driving the analysis module to convert the sleep analysis result into a sleep index score, a sleep quality score, and a sleep index graph. Driving the analysis module to display the sleep index score, the sleep quality score, and the sleep index graph, and the sleep index graph is a radar chart. By using a method that can quantify various sleep indexes, converting complex sleep data into a simple sleep analysis result can greatly improve the analysis efficiency; by using a method that can simply present the sleep quality, giving the user an easy-to-understand sleep quality analysis helps to enhance the user's understanding of their own sleep quality; by displaying it in a radar chart, concisely presenting the distribution of the advantages and disadvantages of each sleep index score helps the user to evaluate and improve each sleep analysis result.

[0103] According to the above embodiments, specific examples are proposed below and described in detail with the accompanying drawings.

[0104] <First Embodiment>

[0105] Please refer to Figure 1 and Figure 2 where Figure 1A block diagram showing an analysis system 100 according to a first embodiment of the present disclosure; and Figure 2 Showing according to Figure 1 A block diagram of the analysis module 110 in the first embodiment. In the first embodiment, the analysis system 100 can be mounted on an electronic device such as a computer or a mobile phone (not shown in the figure), and is signal-connected to a sleep monitoring instrument (not shown in the figure), or is mounted on the sleep monitoring instrument to obtain various physiological activity indexes (such as: heart rate, body temperature, blood pressure, sleep time, sleeping posture, and breathing rate) during the monitoring of the human body's sleep for analysis.

[0106] The analysis system 100 includes an analysis module 110 and an access module 120, and the analysis module 110 is coupled to the access module 120. The analysis module 110 includes a user sleep data extraction unit 111, a standard sleep data extraction unit 112, a sleep data analysis unit 113, a sleep score conversion unit 114, a sleep score display unit 115, a sleep interval display unit 116, a sleeping posture display unit 117, and a sleep suggestion display unit 118. The user sleep data extraction unit 111 extracts a user sleep data from the access module 120. The standard sleep data extraction unit 112 is used to extract a corresponding standard sleep data from the access module 120. In the first embodiment, the user sleep data is the sleep data of a specific user, taken from the sleep monitoring instrument; the standard sleep data is the sleep data used as a comparison standard, and the standard sleep data is taken from the sleep medicine research results.

[0107] The sleep data analysis unit 113 is used to compare the user sleep data with the standard sleep data and generate at least one sleep analysis result. The sleep score conversion unit 114 is used to convert the sleep analysis result into at least one sleep index score IG, a sleep quality score QG, and a sleep index graph G. In the first embodiment, the sleep analysis result includes at least one of slow wave force, respiratory force, falling asleep force, persistence force, and length force; the sleep index score IG is a score converted from the sleep analysis result, which can represent the quality of a single sleep analysis result; the sleep quality score QG is a score converted from multiple sleep analysis results, which can represent the comprehensive quality of multiple sleep analysis results; the sleep index graph G is a graph converted from the sleep analysis result, which can indicate the quality of each sleep analysis result.

[0108] Please refer to Figure 2 and Figure 3 shown, where Figure 3 Showing according to Figure 2Schematic diagram showing some units of the analysis module 110 in the first embodiment on the user interface UI. The sleep score display unit 115 is used to display the sleep index score IG, the sleep quality score QG, and the sleep index graph G. The sleep interval display unit 116 is used to display the user's own sleep interval T. The sleep posture display unit 117 is used to display the sleep posture data P of the user during sleep. The sleep advice display unit 118 is used to provide sleep advice S for the user according to the sleep analysis result and display the sleep advice S. In the first embodiment, the sleep index score IG includes an index digital score IG1, an index digital full score IG2, an index English letter score IG3, an index text score IG4, and an index percentage IG5. The sleep quality score QG includes a quality digital score QG1, a quality digital full score QG2, a quality English letter score QG3, a quality text score QG4, and a quality percentage QG5; the sleep index graph G is a radar chart. The sleep score display unit 115 can display the index digital score IG1, the index digital full score IG2, the index English letter score IG3, the index text score IG4, the index percentage IG5, the quality digital score QG1, the quality digital full score QG2, the quality English letter score QG3, the quality text score QG4, the quality percentage QG5, and the sleep index graph G on the user interface UI of an electronic device (not shown in the figure) or a sleep monitoring instrument (not shown in the figure). The sleep interval display unit 116 can display the sleep interval T on the user interface UI of an electronic device (not shown in the figure) or a sleep monitoring instrument (not shown in the figure). The sleep posture display unit 117 can display the sleep posture data P on the user interface UI of an electronic device (not shown in the figure) or a sleep monitoring instrument (not shown in the figure). The sleep advice display unit 118 can display the sleep advice S on the user interface UI of an electronic device (not shown in the figure) or a sleep monitoring instrument (not shown in the figure). It should be specially noted that the sleep interval T, the sleep posture data P, and the sleep advice S can be arbitrarily selected by the user whether to be displayed.

[0109] In the first embodiment, the sleep quality score QG is displayed at the top of the user interface UI, the sleep advice S is displayed at the bottom of the user interface UI, the sleep interval T, the sleeping posture data P, and the sleep index graph G are sequentially displayed from top to bottom between the sleep quality score QG and the sleep advice S, and the sleep index scores IG are distributed and arranged around the sleep index graph G. Specifically, the index number score IG1, the index number full score IG2, the index English letter score IG3, the index text score IG4, and the index percentage IG5 of the sleep index score IG are distributed and arranged around the sleep index graph G. In other embodiments, the distribution of the index number score IG1, the index number full score IG2, the index English letter score IG3, the index text score IG4, and the index percentage IG5 can be arbitrarily selected and arbitrarily arranged around the sleep index graph G or overlapped on the sleep index graph G.

[0110] Please refer to Figure 2 , Figure 4 and Figure 5 as shown, where Figure 4 illustrates the schematic diagram of the user interface UI in the first embodiment according to Figure 2 the first embodiment of the first implementation manner; Figure 5 illustrates the schematic diagram of the user interface UI in the second embodiment according to Figure 2 the second embodiment of the first implementation manner.

[0111] In the first embodiment of the first implementation manner, the sleep data analysis unit 113 compares the user's sleep data with the standard sleep data and generates sleep analysis results corresponding to the slow wave force, the falling asleep force, and the persistence force. The sleep score conversion unit 114 converts the sleep analysis results corresponding to the slow wave force, the falling asleep force, and the persistence force into the sleep quality score QG, the sleep index score IG, and the sleep index graph G. As Figure 4As shown, the sleep score display unit 115 displays the sleep quality score QG, the sleep index score IG, and the sleep index graph G on the user interface UI. The sleep interval display unit 116 displays the sleep interval T on the user interface UI. The sleep advice display unit 118 displays the sleep advice S on the user interface UI. Among them, the sleep quality score QG displayed by the sleep score display unit 115 includes the quality digital score QG1, the quality digital full score QG2, the quality English letter score QG3, and the quality percentage QG5. The sleep index score IG displayed by the sleep score display unit 115 includes the index digital score IG1, the index English letter score IG3, and the index percentage IG5. The sleep index graph G displayed by the sleep score display unit 115 is a radar graph corresponding to the slow wave force, the falling asleep force, and the persistence force. Among them, the index digital score IG1 overlaps on the sleep index graph G. The quality digital score QG1 and the index digital score IG1 are integer and non-integer numbers between 0 and 100, and the size of the numbers is used as the standard of good or bad. The quality digital score QG1 is 100. The quality English letter score QG3 and the index English letter score IG3 are English letters such as A+, A, A-, B+, B, B-. A+ corresponds to the quality digital score QG1 and the index digital score IG1 being between greater than 95 and less than or equal to 100. A corresponds to the quality digital score QG1 and the index digital score IG1 being between greater than 90 and less than or equal to 95. A- corresponds to the quality digital score QG1 and the index digital score IG1 being between greater than 85 and less than or equal to 90. B+ corresponds to the quality digital score QG1 and the index digital score IG1 being between greater than 80 and less than or equal to 85, and so on.

[0112] In the second embodiment of the first embodiment, the sleep data analysis unit 113 compares the user's sleep data with the standard sleep data and generates a sleep analysis result corresponding to the slow wave force, the breathing force, the falling asleep force, the persistence force, and the length force. The sleep score conversion unit 114 converts the sleep analysis result corresponding to the slow wave force, the breathing force, the falling asleep force, the persistence force, and the length force into the sleep quality score QG, the sleep index score IG, and the sleep index graph G. As Figure 5As shown, the sleep score display unit 115 displays the sleep quality score QG, the sleep index score IG, and the sleep index graph G on the user interface UI. The sleep interval display unit 116 displays the sleep interval T on the user interface UI. The sleep advice display unit 118 displays the sleep advice S on the user interface UI. Among them, the sleep quality score QG displayed by the sleep score display unit 115 includes the quality digital score QG1, the quality digital full score QG2, the quality English letter score QG3, and the quality percentage QG5. The sleep index score IG displayed by the sleep score display unit 115 includes the index digital score IG1, the index English letter score IG3, and the index percentage IG5. The sleep index graph G displayed by the sleep score display unit 115 is a radar graph corresponding to slow wave force, respiratory force, falling asleep force, persistence force, and length force. Among them, the index digital score IG1 overlaps on the sleep index graph G. The quality digital score QG1 and the index digital score IG1 are integer and non-integer numbers between 0 and 10, and the size of the numbers is used as the standard of superiority and inferiority. The quality digital score QG1 is 10. The quality English letter score QG3 and the index English letter score IG3 are English letters such as A+, A, A-, B+, B, B-. A+ corresponds to the quality digital score QG1 and the index digital score IG1 being between greater than 9.5 and less than or equal to 10. A corresponds to the quality digital score QG1 and the index digital score IG1 being between greater than 9.0 and less than or equal to 9.5. A- corresponds to the quality digital score QG1 and the index digital score IG1 being between greater than 8.5 and less than or equal to 9.0, and so on.

[0113] Please refer to Figure 2 、 Figure 6 、 Figure 7 and Figure 8 as shown, where Figure 6 illustrates Figure 2 a schematic diagram of the sleep index graph G in the third embodiment of the first embodiment; Figure 7 illustrates Figure 2 a schematic diagram of the sleep index graph G in the fourth embodiment of the first embodiment; Figure 8 illustrates Figure 2 a schematic diagram of the sleep index graph G in the fifth embodiment of the first embodiment.

[0114] In the third embodiment of the first embodiment, the sleep score conversion unit 114 converts the sleep analysis results corresponding to the sleeping posture and sleep breathing into the sleep index graph G, and the sleep index graph G is a pie chart. As Figure 6As shown, the sleeping postures of the user include supine, left lateral, right lateral, and prone. Each sleeping posture has a corresponding proportion during the user's sleep and a corresponding degree of smooth sleep breathing. Displaying the sleeping posture and sleep breathing simultaneously through a pie chart helps the user understand the correlation between the sleeping posture and sleep breathing and helps the user find the best sleeping posture to improve sleep quality.

[0115] In the fourth embodiment of the first embodiment, the sleep score conversion unit 114 converts the sleep analysis result corresponding to the number of turnovers into a sleep index graph G, and the sleep index graph G is a line graph. As Figure 7 shown, the x-axis of the line graph is the number of turnovers, and the y-axis is the proportion of the sleep analysis result in the data group. Different numbers of turnovers have corresponding percentages. Displaying the sleep analysis result of the number of turnovers through the line graph can help the user understand the suitability for the bedding and help the user improve sleep quality by selecting bedding.

[0116] In the fifth embodiment of the first embodiment, the sleep score conversion unit 114 converts the sleep analysis result corresponding to the number of getting out of bed into a sleep index graph G, and the sleep index graph G is a line graph. As Figure 8 shown, the x-axis of the line graph is the number of times of getting out of bed, and the y-axis is the proportion of the sleep analysis result in the data group. Different numbers of times of getting out of bed have corresponding percentages. Displaying the sleep analysis result of the number of times of getting out of bed through the line graph can help the user understand the degree of frequent urination.

[0117] Thus, through the comparison and analysis function of the analysis module 110, complex sleep data can be converted into simple sleep analysis results, which can greatly improve the analysis efficiency; through the various display functions of the analysis module 110, an easy-to-understand sleep quality analysis can be given to the user, which helps to enhance the user's understanding of their own sleep quality; by displaying the sleep index graph G as a radar graph, the advantages and disadvantages distribution of each sleep index score IG can be presented concisely, which helps the user evaluate and improve each sleep analysis result.

[0118] <Second Embodiment>

[0119] Please refer to Figure 9 as shown, Figure 9A flowchart showing an analysis method 200 according to the second embodiment of the present disclosure. The analysis method 200 includes step 210, step 220, step 230, step 240, and step 250. Step 210 includes driving the analysis module to extract user sleep data from the access module. Step 220 includes driving the analysis module to extract corresponding standard sleep data from the access module. Step 230 includes driving the analysis module to compare the user sleep data with the standard sleep data and generate a sleep analysis result. Step 240 includes driving the analysis module to convert the sleep analysis result into a sleep index score, a sleep quality score, and a sleep index graph. Step 250 includes driving the analysis module to display the sleep index score, the sleep quality score, and the sleep index graph, and the sleep index graph is a radar chart.

[0120] Specifically, the analysis system 100 of the foregoing Figure 1 first embodiment is configured to implement the analysis method 200 of the second embodiment, and is used to quantify sleep indexes according to the user's sleep condition and present the user's sleep quality. It should be noted that the analysis method 200 of the present disclosure is not limited to being implemented by the analysis system 100 of the present disclosure, and each component in the analysis system 100 can be arbitrarily integrated into various combinations to perform the functions of the analysis method 200.

[0121] Thereby, by a method that can quantify various sleep indexes, complex sleep data is converted into a simple sleep analysis result, which can greatly improve the analysis efficiency; by a method that can simply present the sleep quality, a simple and easy-to-understand sleep quality analysis is given to the user, which helps to enhance the user's understanding of their own sleep quality; by displaying in a radar chart, the advantages and disadvantages distribution of each sleep index score is concisely presented, which helps the user to evaluate and improve each sleep analysis result.

[0122] <Third Embodiment>

[0123] Please refer to Figure 10A and Figure 10B as shown, wherein Figure 10A a three-dimensional schematic diagram of an electronic device 300 according to the third embodiment of the present disclosure is shown, Figure 10B showing according to Figure 10A a block schematic diagram of the electronic device 300 of the third embodiment. From Figure 10A and Figure 10BIt can be seen that the electronic device 300 of the third embodiment is a smart phone. The electronic device 300 is signal-connected to a sleep monitoring instrument (not shown in the figure) to obtain various physiological activity indexes (such as heart rate, body temperature, blood pressure, sleep time, sleeping posture and breathing rate) during the monitoring of human sleep by the sleep monitoring instrument for analysis, and simply presents the sleep quality of the user, providing the user with an easy-to-understand sleep quality analysis, which helps to enhance the user's understanding of their own sleep quality. The electronic device 300 includes an analysis system 310 and a user interface 320. In the third embodiment, the analysis system 310 is the same as the analysis system 100 in the foregoing first embodiment, and will not be described herein again; the user interface 320 is the touch screen of the smart phone, and the content displayed by the analysis system 310 on the user interface 320 is the same as the user interface UI in the foregoing first embodiment, and will not be described herein again.

[0124] Although the present disclosure has been disclosed as above in embodiments, it is not intended to limit the present disclosure. Any person skilled in the art can make various changes and modifications without departing from the spirit and scope of the present disclosure. Therefore, the protection scope of the present disclosure shall be subject to that defined by the appended claims.

Claims

1. An analysis module, characterized in that: Include: a user sleep data extraction unit, used for extracting user sleep data from an access module; a standard sleep data extraction unit, used for extracting corresponding standard sleep data from the access module; a sleep data analysis unit, used to compare the user's sleep data with the standard sleep data and generate at least one sleep analysis result; a sleep score conversion unit, configured to convert the at least one sleep analysis result into at least one sleep index score, a sleep quality score and a sleep index graph; as well as A sleep score display unit is used to display the at least one sleep index score, the sleep quality score and the sleep index graph, and the sleep index graph is a radar graph.

2. The analysis module according to claim 1, characterized in that: The at least one sleep analysis result includes at least one of slow wave force, breathing force, falling asleep force, duration force and length force.

3. The analysis module according to claim 1, characterized in that: The sleep index scores are arranged around the sleep index graph.

4. The analysis module according to claim 3, characterized in that: The sleep score display unit displays an index digital score.

5. The analysis module according to claim 4, characterized in that: The sleep score display unit displays a numerical full score of an indicator, and the numerical full score of the indicator is overlapped on the sleep indicator graph.

6. The analysis module according to claim 1, characterized in that: The sleep score display unit displays a sleep quality English letter score.

7. The analysis module according to claim 1, characterized in that: The sleep score display unit displays a quality digital full score.

8. The analysis module according to claim 1, characterized in that: The sleep score display unit displays an indicator percentage.

9. The analysis module according to claim 1, characterized in that: The sleep score display unit displays a sleep quality percentage.

10. The analysis module according to claim 1, characterized in that: The invention also comprises a sleep interval display unit.

11. The analysis module according to claim 1, characterized in that: The utility model also comprises a sleeping posture display unit.

12. The analysis module according to claim 1, characterized in that: A sleep suggestion display unit is also included.

13. An analysis system, characterized in that: Include: The analysis module as claimed in claim 1; and The access module is coupled to the analysis module.

14. An electronic device, characterized in that: Include: The analysis system of claim 13.

15. An analysis module, characterized in that: Include: a user sleep data extraction unit, used for extracting user sleep data from an access module; a standard sleep data extraction unit, used for extracting corresponding standard sleep data from the access module; a sleep data analysis unit, used to compare the user's sleep data with the standard sleep data and generate at least three sleep analysis results; a sleep score conversion unit, configured to convert the at least three sleep analysis results into at least three sleep index scores, at least one sleep quality score, and a sleep index graph, wherein the at least three sleep analysis results include at least one of slow wave force, breathing force, sleep onset force, duration force, and length force; as well as A sleep score display unit is used to display the at least three sleep index scores, the sleep quality score and the sleep index graph.

16. The analysis module according to claim 15, characterized in that: The at least three sleep index scores are overlaid on the sleep index graph.

17. The analysis module according to claim 16, characterized in that: The sleep score display unit displays an index digital score.

18. The analysis module according to claim 17, characterized in that: The sleep score display unit displays an indicator percentage.

19. The analysis module according to claim 18, characterized in that: The sleep index graph is a radar graph.

20. The analysis module according to claim 15, characterized in that: The sleep score display unit displays a quality digital full score.

21. The analysis module according to claim 20, characterized in that The sleep score display unit displays a sleep quality percentage.

22. The analysis module according to claim 21, characterized in that The sleep score display unit displays a sleep quality English letter score.

23. The analysis module according to claim 22, characterized in that The invention also comprises a sleep interval display unit.

24. The analysis module according to claim 23, characterized in that The utility model also comprises a sleeping posture display unit.

25. The analysis module according to claim 24, characterized in that The sleep index graph is a donut chart, which is transformed from at least two sleep analysis results, wherein the at least two sleep analysis results include sleeping posture and sleep breathing.

26. The analysis module according to claim 25, characterized in that The sleep index graph is a curve graph, which is transformed from at least one sleep analysis result, and the at least one sleep analysis result includes the number of turning over or getting out of bed.

27. The analysis module according to claim 26, characterized in that A sleep suggestion display unit is also included.

28. An analysis system, characterized in that Include: The analysis module of claim 15; and The access module is coupled to the analysis module.

29. An electronic device, characterized in that: Include: The analysis system of claim 28.

30. An analysis method, characterized in that Include: driving an analysis module to extract a user's sleep data from an access module; driving the analysis module to extract corresponding standard sleep data from the access module; Driving the analysis module to compare the user's sleep data with the standard sleep data and generate at least one sleep analysis result; Driving the analysis module to convert the at least one sleep analysis result into at least one sleep index score, a sleep quality score and a sleep index graph; The analysis module is driven to display the at least one sleep index score, the sleep quality score and the sleep index graph, wherein the sleep index graph is a radar graph.

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