A smart elderly care data remote transmission method and humanoid elderly care robot

Abstract

The present invention relates to the field of data processing technology, and specifically to a smart elderly care data remote transmission method and a humanoid elderly care robot, including: obtaining the heart rate data sequence to be transmitted, the current blood oxygen data sequence, the historical heart rate data sequence and the historical blood oxygen data sequence of the elderly, obtaining suspected abnormal heart rate data, obtaining the comparative heart rate data and the initial health reflection degree of each suspected abnormal heart rate data, obtaining the relevant blood oxygen data of each suspected abnormal heart rate data, obtaining the initial health reflection degree of the relevant blood oxygen data of each suspected abnormal heart rate data, obtaining the final health reflection degree of each suspected abnormal heart rate data, and obtaining data for priority transmission. The present invention aims to solve the problem that when the heart rate data of the elderly with health problems is preferentially transmitted, the normal heart rate data during some exercise processes will be preferentially transmitted.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a method for remotely transmitting smart elderly care data and a humanoid elderly care robot. Background Art

[0002] With the increasing aging of society, smart elderly care has become a global focus. It aims to improve the quality of life of the elderly through high-tech means and provide more convenient and safe elderly care services. Against this backdrop, the combination of remote data transmission technology and humanoid elderly care robots has brought a new solution to the field of smart elderly care.

[0003] The core of smart elderly care data remote transmission methods lies in transmitting collected physical data from the elderly. This allows medical staff to monitor their health in real time, respond to emergencies promptly, and develop personalized care plans for them. However, in real life, due to network bandwidth constraints, signal strength, and the energy consumption of humanoid elderly care robots, as well as the need to collect multiple dimensions of physical data each time, remote network transmission of data is prohibitively large, placing stringent network requirements. Therefore, to provide more timely medical assistance and understand the health status of the elderly, data transmission should prioritize data indicating abnormal health conditions. When obtaining heart rate data that indicates an attack of a heart disease, such as coronary artery disease, existing methods consider heart rate data outside a certain range to be abnormal. However, heart rate data also rises during exercise, thus misinterpreting exercise heart rate data as indicating an attack of a heart disease, such as coronary artery disease. Summary of the Invention

[0004] The present invention provides a smart elderly care data remote transmission method and a humanoid elderly care robot to solve the existing problems.

[0005] The present invention provides a method for remotely transmitting smart elderly care data and a humanoid elderly care robot using the following technical solutions:

[0006] The present invention proposes a method for remote transmission of smart elderly care data, which includes the following steps:

[0007] Obtain the elderly person's heart rate data sequence to be transmitted, current blood oxygen data sequence, historical heart rate data sequence, and historical blood oxygen data sequence to obtain suspected abnormal heart rate data; the data in the elderly person's heart rate data sequence to be transmitted, current blood oxygen data sequence, historical heart rate data sequence, and historical blood oxygen data sequence each correspond to a collection day and a specific collection time;

[0008] According to the specific collection time of each suspected abnormal heart rate data and the historical heart rate data, the comparative heart rate data of each suspected abnormal heart rate data is obtained; according to the distribution of the heart rate data to be transmitted around each suspected abnormal heart rate data and the distribution of the historical heart rate data around the comparative heart rate data of each suspected abnormal heart rate data, the initial health reflection degree of each suspected abnormal heart rate data is obtained;

[0009] Based on the distribution of the heart rate data to be transmitted around each suspected abnormal heart rate data and the distribution of the current blood oxygen data around each current blood oxygen data, the relevant blood oxygen data of each suspected abnormal heart rate data is obtained, and then the initial health reflectivity of the relevant blood oxygen data of each suspected abnormal heart rate data is obtained; based on the initial health reflectivity of each suspected abnormal heart rate data, the difference and distribution of the initial health reflectivity of each suspected abnormal heart rate data and the initial health reflectivity of its relevant blood oxygen data, the final health reflectivity of each suspected abnormal heart rate data is obtained, and then the data for priority transmission is obtained.

[0010] The specific method of obtaining the suspected abnormal heart rate data includes:

[0011] Preset abnormal threshold , the heart rate data sequence to be transmitted is greater than the abnormal threshold The heart rate data to be transmitted is recorded as suspected abnormal heart rate data.

[0012] The specific method of obtaining the comparative heart rate data of each suspected abnormal heart rate data according to the specific collection time of each suspected abnormal heart rate data and the historical heart rate data includes:

[0013] Combine the historical heart rate data of the elderly with the The historical heart rate data with the same specific collection time as the suspected abnormal heart rate data is recorded as Compare the heart rate data of suspected abnormal heart rate data.

[0014] The initial health reflection degree of each suspected abnormal heart rate data is obtained based on the distribution of the heart rate data to be transmitted around each suspected abnormal heart rate data and the distribution of the historical heart rate data around the comparative heart rate data of each suspected abnormal heart rate data, including the specific method of:

[0015] In the heart rate data sequence to be transmitted, The specific collection time of the suspected abnormal heart rate data is closest to data, recorded as Control heart rate data of suspected abnormal heart rate data; among them, Indicates the number of preset control heart rate data;

[0016] Get the The specific calculation formula for the heart rate change rate of suspected abnormal heart rate data is as follows:

[0017]

[0018] Where, Indicates the The heart rate change rate of suspected abnormal heart rate data, Indicates the number of control heart rate data, Indicates the The value of suspected abnormal heart rate data, Indicates the The first data of suspected abnormal heart rate The value of the control heart rate data, represents the absolute value function;

[0019] Get the Compare the suspected abnormal heart rate data with the comparison heart rate data of several control heart rate data to obtain the first The heart rate change rate of the compared heart rate data of suspected abnormal heart rate data;

[0020] According to The heart rate change rate of the suspected abnormal heart rate data and the heart rate change rate of the comparison heart rate data are obtained. The initial health reflection of suspected abnormal heart rate data.

[0021] According to the The heart rate change rate of the suspected abnormal heart rate data and the heart rate change rate of the comparison heart rate data are obtained. The initial health reflection of suspected abnormal heart rate data includes the following specific methods:

[0022]

[0023] Where, Indicates the The initial health reflection of suspected abnormal heart rate data, Indicates the The number of heart rate data for comparison with suspected abnormal heart rate data, Indicates the The heart rate change rate of suspected abnormal heart rate data, Indicates the The first data of suspected abnormal heart rate The heart rate change rate of the compared heart rate data, represents the absolute value function, is an exponential function with a natural constant as its base.

[0024] The method of obtaining the blood oxygen data related to each suspected abnormal heart rate data according to the distribution of the heart rate data to be transmitted around each suspected abnormal heart rate data and the distribution of the current blood oxygen data around each current blood oxygen data includes:

[0025] In the heart rate data sequence to be transmitted, the data before any suspected abnormal heart rate data and closest to the specific collection time of the suspected abnormal heart rate data The heart rate data is recorded as the heart rate comparison data of the suspected abnormal heart rate data;

[0026] In the blood oxygen data sequence to be transmitted, the data before any blood oxygen data and closest to the specific collection time of the blood oxygen data The heart rate data is recorded as the blood oxygen comparison data of the blood oxygen data;

[0027] Combine the current blood oxygen data sequence with the The current blood oxygen data with the same specific collection time as the suspected abnormal heart rate data is recorded as Reference data of suspected abnormal heart rate data;

[0028] Get the The specific calculation formula for the blood oxygen data related to suspected abnormal heart rate data is as follows:

[0029]

[0030] Where, Indicates the The lag of suspected abnormal heart rate data is The response rate, Indicates the The value of suspected abnormal heart rate data, Indicates the The first data of suspected abnormal heart rate The value of the heart rate comparison data, Indicates the number of The first data after the reference data of suspected abnormal heart rate data Current blood oxygen data, Indicates the number of The first data after the reference data of suspected abnormal heart rate data The current blood oxygen data The value of the blood oxygen comparison data, Indicates the number of comparison data. represents the absolute value function, Indicates the preset maximum number of lags, is an exponential function with a natural constant as its base;

[0031] Will The maximum value of The value of The hysteresis value of suspected abnormal heart rate data ;

[0032] In the current blood oxygen data sequence, The first data after the reference data of suspected abnormal heart rate data The current blood oxygen data is recorded as The blood oxygen data related to suspected abnormal heart rate data.

[0033] The specific method for obtaining the initial health reflection degree of the blood oxygen data related to each suspected abnormal heart rate data includes:

[0034] According to the specific collection time of the blood oxygen data related to each suspected abnormal heart rate data and the distribution of the surrounding current blood oxygen data, as well as the specific collection time and distribution of the historical blood oxygen data, the initial health reflection degree of the blood oxygen data related to each suspected abnormal heart rate data is obtained.

[0035] The method of obtaining the final health reflectivity of each suspected abnormal heart rate data according to the initial health reflectivity of each suspected abnormal heart rate data and the difference and distribution between the initial health reflectivity of each suspected abnormal heart rate data and the initial health reflectivity of its related blood oxygen data includes:

[0036]

[0037] Where, Indicates the The final health reflection of suspected abnormal heart rate data, Indicates the number of suspected abnormal heart rate data. Indicates the The initial health reflection of suspected abnormal heart rate data, Indicates the The initial health reflection of the blood oxygen data related to the suspected abnormal heart rate data, Indicates the The initial health reflection of suspected abnormal heart rate data, Indicates the The initial health reflection of the blood oxygen data related to the suspected abnormal heart rate data, represents the absolute value function, is an exponential function with a natural constant as its base.

[0038] The specific method of obtaining the data for priority transmission includes:

[0039] Preset responsiveness threshold , the final health reflection is less than the reflection threshold The suspected abnormal heart rate data is recorded as the data to be transmitted first.

[0040] The present invention also provides a humanoid elderly care robot, comprising:

[0041] Data acquisition module, data detection module, data transmission module; the data acquisition module is used to obtain the heart rate data and blood oxygen data of the elderly through the smart bracelet, the data detection module obtains abnormal heart rate data by calling a computer program to implement a method for remote transmission of smart elderly care data, and the data transmission module is used to transmit the heart rate data.

[0042] The beneficial effects of the technical solution of the present invention are as follows: in the process of obtaining the heart rate data for priority transmission, the present invention makes the heart rate data at the same time of each day relatively close based on the fact that the elderly person's life is relatively regular, and obtains the initial health reflection degree of each suspected abnormal heart rate data according to the distribution of data around the historical heart rate data with the same collection time as each suspected abnormal heart rate data, so that the initial health reflection degree of each suspected abnormal heart rate data reflects the degree of conformity with the relatively regular characteristics of the elderly person's life; according to the influence of heart rate data on blood oxygen data during human exercise, makes a heart rate data relatively close to some features of the blood oxygen data affected by it, and obtains the relevant blood oxygen value of each suspected abnormal heart rate data according to the distribution of data around each suspected abnormal heart rate data and the distribution of data around each blood oxygen data. According to the method, the data changes around each suspected abnormal heart rate data and its related blood oxygen data are relatively similar; according to the characteristic that the degree of influence of heart rate on blood oxygen does not change significantly when a person is exercising, the final reflectivity of each suspected abnormal heart rate data is obtained by the difference in the initial reflectivity of each suspected abnormal heart rate data and its related blood oxygen data, and the difference in the initial reflectivity of other suspected abnormal heart rate data and their related blood oxygen data, so that the final health reflectivity of the heart rate data collected during exercise and the heart rate data of the elderly when a heart disease such as coronary heart disease attacks has a relatively obvious difference, which solves the problem of identifying the heart rate data during exercise as the heart rate data of the elderly when a heart disease such as coronary heart disease attacks when the heart rate data of the elderly when a heart disease such as coronary heart disease attacks is obtained directly based on the numerical value of the heart rate data. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0044] Figure 1 This is a flowchart of the steps of a remote transmission method for smart elderly care data of the present invention. DETAILED DESCRIPTION

[0045] To further illustrate the technical means and effects of the present invention to achieve the intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, describes in detail the specific implementation, structure, features, and effects of a method for remotely transmitting data for the elderly and a humanoid elderly care robot proposed in accordance with the present invention. In the following description, different references to "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, specific features, structures, or characteristics of one or more embodiments may be combined in any suitable form.

[0046] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0047] The following describes in detail a method for remotely transmitting smart elderly care data and a specific solution of a humanoid elderly care robot provided by the present invention in conjunction with the accompanying drawings.

[0048] See also Figure 1 , which shows a flowchart of a method for remote transmission of smart elderly care data provided by one embodiment of the present invention, the method comprising the following steps:

[0049] Step S001: Obtain the heart rate data sequence to be transmitted, the current blood oxygen data sequence, the historical heart rate data sequence and the historical blood oxygen data sequence of the elderly person to obtain suspected abnormal heart rate data.

[0050] This embodiment is mainly intended to solve the problem of which heart rate data to transmit first when transmitting the heart rate data of the elderly, thereby obtaining multiple data sequences of the elderly.

[0051] Specifically, the blood oxygen data and heart rate data of the elderly are obtained through the smart bracelet, and the heart rate data sequence to be transmitted and the current blood oxygen data sequence of the elderly are obtained. The collection time of the heart rate data to be transmitted and the current blood oxygen data is days, and the collection frequency is Times / second. The collection time preset in this embodiment is , , is described using this as an example, and other values ​​can be set in other implementations.

[0052] Furthermore, the historical heart rate data and historical blood oxygen data collected within 180 days before the heart rate data to be transmitted are obtained to obtain the historical heart rate data and historical blood oxygen data of the elderly. Among them, the collection frequency of the historical heart rate data and historical blood oxygen data is also The blood oxygen data, current heart rate data, historical blood oxygen data, and historical heart rate data to be transmitted all correspond to a collection day and a specific collection time. The data collection day refers to the day the data was collected, and the data collection time refers to the hour, minute, and second within a day when the data was collected.

[0053] Furthermore, the abnormal threshold is preset , the heart rate data sequence to be transmitted is greater than the abnormal threshold The heart rate data to be transmitted is recorded as suspected abnormal heart rate data. The abnormal threshold value preset in this embodiment is , is described using this as an example, and other values ​​can be set in other implementations.

[0054] Step S002: Obtain comparative heart rate data for each suspected abnormal heart rate data based on the specific collection time of each suspected abnormal heart rate data and the historical heart rate data; obtain the initial health reflection degree of each suspected abnormal heart rate data based on the distribution of the heart rate data to be transmitted around each suspected abnormal heart rate data and the distribution of the historical heart rate data around the comparative heart rate data of each suspected abnormal heart rate data.

[0055] It should be noted that, since the lives of the elderly are relatively regular, they do the same things at fixed time periods every day. For example, they get up at fixed time periods every day and exercise at fixed time periods every day. As a result, the heart rate data of the elderly at the same specific collection time on different days are relatively similar. Therefore, the initial health reflectivity of each suspected abnormal heart rate data is obtained by comparing the suspected abnormal heart rate data with the historical heart rate data at the same specific collection time of the suspected abnormal heart rate data.

[0056] Specifically, the heart rate data sequence to be transmitted will be The specific collection time of the suspected abnormal heart rate data is closest to data, recorded as Compare the historical heart rate data of the elderly with the control heart rate data of the suspected abnormal heart rate data. The historical heart rate data with the same specific collection time as the suspected abnormal heart rate data is recorded as The number of comparison heart rate data of suspected abnormal heart rate data is preset in this embodiment. , is described using this as an example, and other values ​​can be set in other implementations.

[0057] Further, get the The specific calculation formula for the heart rate change rate of suspected abnormal heart rate data is as follows:

[0058]

[0059] Where, Indicates the The heart rate change rate of suspected abnormal heart rate data, Indicates the number of control heart rate data, Indicates the The value of suspected abnormal heart rate data, Indicates the The first data of suspected abnormal heart rate The value of the control heart rate data, represents the absolute value function.

[0060] What needs to be explained is that The larger the value, the The difference between the suspected abnormal heart rate data and the surrounding heart rate data is large, which further illustrates that the The faster the change of heart rate data at the collection time corresponding to the suspected abnormal heart rate data.

[0061] Further, get the Compare the suspected abnormal heart rate data with the comparison heart rate data of several control heart rate data to obtain the first The heart rate change rate of the compared heart rate data of the suspected abnormal heart rate data.

[0062] Further, get the The specific calculation formula for the initial health reflection degree of suspected abnormal heart rate data is as follows:

[0063]

[0064] Where, Indicates the The initial health reflection of suspected abnormal heart rate data, Indicates the The number of heart rate data for comparison with suspected abnormal heart rate data, Indicates the The heart rate change rate of suspected abnormal heart rate data, Indicates the The first data of suspected abnormal heart rate The heart rate change rate of the compared heart rate data, represents the absolute value function, is an exponential function with a natural constant as the base. Model to present inverse proportional relationship and normalization processing, As the input of the model, the implementer can set the inverse proportional function and normalization function according to the actual situation.

[0065] What needs to be explained is that The smaller the value, the The difference between the heart rate change rate of the suspected abnormal heart rate data and the heart rate change rate of the historical heart rate data with the same specific collection time is small, which further illustrates that the The stronger the similarity between a suspected abnormal heart rate data and its historical heart rate data with the same specific collection time, the higher the similarity between the suspected abnormal heart rate data and the historical heart rate data with the same specific collection time. The more likely the suspected abnormal heart rate data is the heart rate data collected when the elderly person was in relatively good health.

[0066] At this point, the initial health reflection level of each suspected abnormal heart rate data is obtained.

[0067] Step S003: Based on the distribution of the heart rate data to be transmitted around each suspected abnormal heart rate data and the distribution of the current blood oxygen data around each current blood oxygen data, the relevant blood oxygen data of each suspected abnormal heart rate data is obtained, and then the initial health reflectivity of the relevant blood oxygen data of each suspected abnormal heart rate data is obtained; based on the initial health reflectivity of each suspected abnormal heart rate data, the difference and distribution between the initial health reflectivity of each suspected abnormal heart rate data and the initial health reflectivity of its relevant blood oxygen data, the final health reflectivity of each suspected abnormal heart rate data is obtained, and then the data for priority transmission is obtained.

[0068] It should be noted that although the lives of elderly people are extremely regular, in reality, it is unlikely that they will do the same things in exactly the same time period. For example, under normal circumstances, elderly people exercise between 9 and 10 o'clock in the morning, but in some cases, they start exercising around 9 o'clock, such as 8:59, and end exercising around 10 o'clock, such as 9:58. As a result, some of the heart rate data collected during the elderly person's exercise will have certain differences from the historical heart rate data collected at the same specific time. As a result, some of the heart rate data collected during the elderly person's exercise will have an initial health reflection degree that is closer to some of the heart rate data collected during the elderly person's coronary heart disease or other heart disease attack. When directly obtaining the heart rate data of the elderly person during the coronary heart disease or other heart disease attack through threshold segmentation, some of the heart rate data collected during the elderly person's exercise will be mistakenly identified as heart rate data during the heart disease attack. Therefore, the initial health reflection degree of each suspected abnormal heart rate data is corrected.

[0069] It's also important to note that the various physiological indicators of the human body influence each other. For example, during exercise, the intense activity consumes a large amount of energy, accelerating metabolism. To meet this energy demand, the respiratory rate and heart rate increase. This increased heart rate increases the heart's oxygen uptake and delivery per unit time, thereby increasing the oxygen content in the blood. In other words, the heart rate affects blood oxygen. Therefore, based on the correlation between heart rate and blood oxygen, the initial health response of each suspected abnormal heart rate data point is corrected.

[0070] It should be further explained that when correcting the initial health relevance of each suspected abnormal heart rate data, if a person's exercise state is advanced during the day, for example, under normal circumstances, the elderly person starts exercising at 9:00, but one day the elderly person exercises at 8:59, the elderly person's heart rate data collected around 8:59 will be significantly different from the heart rate data collected at the same specific time on other days, resulting in the heart rate data collected around 8:59 having a lower initial health relevance. Because the elderly person's heart rate data collected at 8:59 differs significantly from the heart rate data collected at the same specific time on other days, the blood oxygen content affected by the heart rate data collected around 8:59 is significantly different from the blood oxygen content collected at the same specific time on other days, resulting in the blood oxygen data affected by the heart rate data at 8:59 having a lower initial health relevance. In other words, the initial health relevance of the elderly person's heart rate data collected during exercise is either the same or the same as the initial health relevance of the blood oxygen data affected by the heart rate data. Because the impact of a senior citizen's heart rate on blood oxygen levels doesn't change significantly during exercise, the difference between the initial health relevance of a single heart rate data point collected during exercise and the blood oxygen levels affected by that heart rate data is relatively close to the difference between the initial health relevance of another heart rate data point collected during exercise and the blood oxygen levels affected by that heart rate data. Therefore, the initial health relevance of each suspected abnormal heart rate data point is adjusted based on the initial health relevance of each suspected abnormal heart rate data point and the initial health relevance of the data point affected by the suspected abnormal heart rate data.

[0071] It should be further explained that when obtaining the blood oxygen data affected by each suspected abnormal heart rate data, since the blood oxygen data is affected by the heart rate data, the change rate of the abnormal heart rate data is closer to the change rate of the blood oxygen data affected by it. Therefore, based on the difference between each abnormal heart rate and the surrounding heart rate data, and the difference between each blood oxygen data and the surrounding heart rate data, the blood oxygen data affected by each suspected abnormal heart rate data is obtained, and the final health reflection degree of each suspected abnormal heart rate data is obtained.

[0072] Specifically, in the heart rate data sequence to be transmitted, the data before any suspected abnormal heart rate data and closest to the specific collection time of the suspected abnormal heart rate data is transmitted. The heart rate data is recorded as the heart rate comparison data of the suspected abnormal heart rate data. In the blood oxygen data sequence to be transmitted, the data before any blood oxygen data and closest to the specific collection time of the blood oxygen data is recorded as the heart rate comparison data of the suspected abnormal heart rate data. Heart rate data is recorded as the blood oxygen comparison data of the blood oxygen data. Among them, the number of comparison data preset in this example is , is described as an example, and other implementations may be set to other values. Among them, if the heart rate data before a suspected abnormal heart rate data is insufficient Then, select from the historical heart rate data that is closest to the collection day of the abnormal heart rate data, several historical heart rate data with the largest difference from the specific collection time of the abnormal heart rate data, so that each suspected abnormal heart rate data has If the blood oxygen data sequence to be transmitted is insufficient, By using the above method, the blood oxygen comparison data of the blood oxygen data is obtained.

[0073] Furthermore, the current blood oxygen data sequence is compared with the first The current blood oxygen data with the same specific collection time as the suspected abnormal heart rate data is recorded as Reference data of suspected abnormal heart rate data.

[0074] Furthermore, the specific calculation formula for obtaining the relevant blood oxygen data for each suspected abnormal heart rate data is as follows:

[0075]

[0076] Where, Indicates the The lag of suspected abnormal heart rate data is The response rate, Indicates the The value of suspected abnormal heart rate data, Indicates the The first data of suspected abnormal heart rate The value of the heart rate comparison data, Indicates the number of The first data after the reference data of suspected abnormal heart rate data Current blood oxygen data, Indicates the number of The first data after the reference data of suspected abnormal heart rate data The current blood oxygen data The value of the blood oxygen comparison data, Indicates the number of comparison data. represents the absolute value function, Indicates the longest lag number, is an exponential function with a natural constant as the base. Model to present inverse proportional relationship and normalization processing, The input of the model can be set by the implementer according to the actual situation. , is described using this as an example, and other values ​​can be set in other implementations.

[0077] What needs to be explained is that Indicates the The ratio of a suspected abnormal heart rate data to its previous multiple heart rate data reflects the The degree of change in suspected abnormal heart rate data; It indicates the ratio of a blood oxygen data to its previous blood oxygen data, reflecting the degree of change of a blood oxygen data; The smaller the value is, the more likely it is that the abnormal heart rate data and blood oxygen data have changed. The blood oxygen data affected by the suspected abnormal heart rate data is more likely to be collected after the specific collection time. Blood oxygen data.

[0078] Further, The maximum value of The value of The hysteresis value of suspected abnormal heart rate data . In the current blood oxygen data sequence, The first data after the reference data of suspected abnormal heart rate data The current blood oxygen data is recorded as The blood oxygen data related to each suspected abnormal heart rate data is collected. The initial health reflection degree of the blood oxygen data related to each suspected abnormal heart rate data is obtained based on the specific collection time of the blood oxygen data related to each suspected abnormal heart rate data, the distribution of the surrounding current blood oxygen data, and the specific collection time and distribution of the historical blood oxygen data.

[0079] Furthermore, the specific calculation formula for obtaining the final health reflection degree of each suspected abnormal heart rate data is as follows:

[0080]

[0081] Where, Indicates the The final health reflection of suspected abnormal heart rate data, Indicates the number of suspected abnormal heart rate data. Indicates the The initial health reflection of suspected abnormal heart rate data, Indicates the The initial health reflection of the blood oxygen data related to the suspected abnormal heart rate data, Indicates the The initial health reflection of suspected abnormal heart rate data, Indicates the The initial health reflection of the blood oxygen data related to the suspected abnormal heart rate data, represents the absolute value function, is an exponential function with a natural constant as the base. Model to present inverse proportional relationship and normalization processing, As the input of the model, the implementer can set the inverse proportional function and normalization function according to the actual situation.

[0082] What needs to be explained is that The smaller the value, the The more the initial health reflection of the suspected abnormal heart rate data and the blood oxygen data affected by it conforms to the characteristics that the initial health reflection of the heart rate data collected during the elderly person's exercise and the blood oxygen data affected by the heart rate data are the same or the same. The greater the possibility that the suspected abnormal heart rate data is the heart rate data collected during the elderly person's exercise; The smaller the value, the The closer the difference between the initial health reflection of the suspected abnormal heart rate data and the blood oxygen data affected by it is to the difference between the initial health reflection of other suspected abnormal heart rate data and the blood oxygen data affected by it, the more it conforms to the characteristic that the degree of influence of the heart rate on the blood oxygen of the elderly during exercise will not change significantly, that is, the first The greater the possibility that the suspected abnormal heart rate data is the heart rate data collected during the elderly person's exercise.

[0083] Furthermore, a preset reflection threshold , the final health reflection is less than the reflection threshold The suspected abnormal heart rate data is recorded as the data to be transmitted first. , is described using this as an example, and other values ​​can be set in other implementations.

[0084] At this point, this embodiment is completed.

[0085] The present invention also provides a humanoid elderly care robot, which includes: a data acquisition module, a data detection module, and a data transmission module; wherein the data acquisition module is used to obtain the heart rate data and blood oxygen data of the elderly through a smart bracelet, the data detection module obtains abnormal heart rate data by calling a computer program to implement the steps of a smart elderly care data remote transmission method, and the data transmission module is used to transmit the heart rate data.

[0086] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for remote transmission of smart elderly care data, characterized in that: The method comprises the following steps: Acquire the elderly person's heart rate data sequence to be transmitted, current blood oxygen data sequence, historical heart rate data sequence and historical blood oxygen data sequence to obtain suspected abnormal heart rate data; the data in the elderly person's heart rate data sequence to be transmitted, current blood oxygen data sequence, historical heart rate data sequence and historical blood oxygen data sequence all correspond to a collection day and a specific collection time; According to the specific collection time of each suspected abnormal heart rate data and the historical heart rate data, the comparative heart rate data of each suspected abnormal heart rate data is obtained; according to the distribution of the heart rate data to be transmitted around each suspected abnormal heart rate data and the distribution of the historical heart rate data around the comparative heart rate data of each suspected abnormal heart rate data, the initial health reflection degree of each suspected abnormal heart rate data is obtained; According to the distribution of the heart rate data to be transmitted around each suspected abnormal heart rate data and the distribution of the current blood oxygen data around each current blood oxygen data, the relevant blood oxygen data of each suspected abnormal heart rate data is obtained, and then the initial health reflection degree of the relevant blood oxygen data of each suspected abnormal heart rate data is obtained; according to the initial health reflection degree of each suspected abnormal heart rate data, the difference and distribution between the initial health reflection degree of each suspected abnormal heart rate data and the initial health reflection degree of its relevant blood oxygen data, the final health reflection degree of each suspected abnormal heart rate data is obtained, and then the data for priority transmission is obtained; The method for obtaining the blood oxygen data related to each suspected abnormal heart rate data includes: In the heart rate data sequence to be transmitted, the data before any suspected abnormal heart rate data and closest to the specific collection time of the suspected abnormal heart rate data is transmitted. The heart rate data is recorded as the heart rate comparison data of the suspected abnormal heart rate data; In the blood oxygen data sequence to be transmitted, the data before any blood oxygen data and closest to the specific collection time of the blood oxygen data The heart rate data is recorded as the blood oxygen comparison data of the blood oxygen data; Combine the current blood oxygen data sequence with the The current blood oxygen data with the same specific collection time as the suspected abnormal heart rate data is recorded as Reference data of suspected abnormal heart rate data; Get the The specific calculation formula for the blood oxygen data related to suspected abnormal heart rate data is as follows: In the formula, Indicates The hysteresis of suspected abnormal heart rate data is The responsiveness, Indicates The value of suspected abnormal heart rate data, Indicates The first suspected abnormal heart rate data The value of the heart rate comparison data, Indicates the number of The first reference data after the suspected abnormal heart rate data Current blood oxygen data, Indicates the number of The first reference data after the suspected abnormal heart rate data The current blood oxygen data The value of the blood oxygen comparison data, Indicates the number of comparison data. represents the absolute value function, Indicates the preset maximum number of lags, is an exponential function with a natural constant as base; Will The maximum value corresponds to The value of Hysteresis value of suspected abnormal heart rate data ; In the current blood oxygen data sequence, The first The current blood oxygen data is recorded as The blood oxygen data related to suspected abnormal heart rate data.

2. According to claim 1, a method for remote transmission of smart elderly care data is characterized in that: The specific method of obtaining the suspected abnormal heart rate data includes: Preset abnormal threshold , the heart rate data sequence to be transmitted is greater than the abnormal threshold The heart rate data to be transmitted is recorded as suspected abnormal heart rate data.

3. According to claim 1, a method for remote transmission of smart elderly care data is characterized in that: The specific method of obtaining the comparative heart rate data of each suspected abnormal heart rate data according to the specific collection time of each suspected abnormal heart rate data and the historical heart rate data includes: The historical heart rate data sequence of the elderly is combined with the The historical heart rate data with the same specific collection time as the suspected abnormal heart rate data is recorded as Compare the heart rate data of suspected abnormal heart rate data.

4. According to claim 1, a method for remote transmission of smart elderly care data is characterized in that: The initial health reflection degree of each suspected abnormal heart rate data is obtained according to the distribution of the heart rate data to be transmitted around each suspected abnormal heart rate data and the distribution of the historical heart rate data around the comparison heart rate data of each suspected abnormal heart rate data, including the specific method of: The heart rate data sequence to be transmitted will be The specific collection time of the suspected abnormal heart rate data is closest to data, recorded as Control heart rate data of suspected abnormal heart rate data; among them, Indicates the number of preset control heart rate data; Get the The specific calculation formula for the heart rate change rate of suspected abnormal heart rate data is as follows: In the formula, Indicates The heart rate change rate of suspected abnormal heart rate data, Indicates the number of control heart rate data, Indicates The value of suspected abnormal heart rate data, Indicates The first suspected abnormal heart rate data The value of the control heart rate data, represents the absolute value function; Get the The comparison heart rate data of suspected abnormal heart rate data is obtained by The heart rate change rate of the compared heart rate data of suspected abnormal heart rate data; According to The heart rate change rate of the suspected abnormal heart rate data and the heart rate change rate of the comparison heart rate data are obtained. The initial health reflection of suspected abnormal heart rate data.

5. A method for remote transmission of smart elderly care data according to claim 4, characterized in that: According to the The heart rate change rate of the suspected abnormal heart rate data and the heart rate change rate of the comparison heart rate data are obtained. The initial health reflection of suspected abnormal heart rate data includes the following specific methods: In the formula, Indicates The initial health reflection of suspected abnormal heart rate data, Indicates The number of heart rate data to be compared with suspected abnormal heart rate data, Indicates The heart rate change rate of suspected abnormal heart rate data, Indicates The first suspected abnormal heart rate data The heart rate change rate of the compared heart rate data, represents the absolute value function, is an exponential function with a natural constant as its base.

6. A method for remote transmission of smart elderly care data according to claim 4, characterized in that: The specific method of obtaining the initial health reflection degree of the blood oxygen data related to each suspected abnormal heart rate data includes: According to the specific collection time of the blood oxygen data related to each suspected abnormal heart rate data and the distribution of the surrounding current blood oxygen data, as well as the specific collection time and distribution of the historical blood oxygen data, the initial health reflection degree of the blood oxygen data related to each suspected abnormal heart rate data is obtained.

7. A method for remote transmission of smart elderly care data according to claim 1, characterized in that: The method of obtaining the final health reflectivity of each suspected abnormal heart rate data according to the initial health reflectivity of each suspected abnormal heart rate data and the difference and distribution between the initial health reflectivity of each suspected abnormal heart rate data and the initial health reflectivity of its related blood oxygen data includes: In the formula, Indicates The final health reflection of suspected abnormal heart rate data, Indicates the number of suspected abnormal heart rate data. Indicates The initial health reflection of suspected abnormal heart rate data, Indicates The initial health reflection of the blood oxygen data related to the suspected abnormal heart rate data, Indicates The initial health reflection of suspected abnormal heart rate data, Indicates The initial health reflection of the blood oxygen data related to the suspected abnormal heart rate data, represents the absolute value function, is an exponential function with a natural constant as its base.

8. The method for remote transmission of smart elderly care data according to claim 1 is characterized in that: The data to be transmitted with priority includes the following specific methods: Preset responsiveness threshold , the final health reflection degree is less than the reflection degree threshold The suspected abnormal heart rate data is recorded as the data for priority transmission.

9. A humanoid elderly care robot, characterized in that: The robot comprises: Data acquisition module, data detection module, data transmission module; the data acquisition module is used to obtain the heart rate data and blood oxygen data of the elderly through a smart bracelet; the data detection module obtains abnormal heart rate data by calling a computer program to implement the steps of a smart elderly care data remote transmission method as described in any one of claims 1-8; the data transmission module is used to transmit the heart rate data.

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