CN111243688A - Old person's motion risk evaluation system - Google Patents
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Abstract
The invention provides an old people motion risk assessment system, which comprises the following information processing units; questionnaire processing unit: calculating a corresponding motion risk level by using an algorithm according to a survey result by setting a questionnaire survey; personal basic exercise intensity module: recording the daily amount of exercise of the individual; personal safety heart rate module: the corresponding calculation is carried out according to the age and the fixed value of the individual, and the exercise intensity adjustment amplitude module: carrying out corresponding suggestion on a later-stage movement plan according to the regular movement data and the adjustment amplitude recording data of each stage; personalized sports advice: the questionnaire survey processing unit, the personal basic exercise intensity module, the personal safety heart rate module and the exercise intensity adjusting amplitude module are used for carrying out corresponding data acquisition, analyzing and comparing to give suggestions.
Description
Technical Field
The invention relates to the technical field of elderly sports risk assessment, and mainly relates to an elderly sports risk assessment system.
Background
The sports for the old people is mainly performed by the old people, meets the physical characteristics of the old people, has various forms, can be adjusted according to time and place, has the direct purposes of building the body, delaying senility, preventing senile diseases and the like, and has the specific purpose of solving the problems of the health of the old people caused by aging of social population and the like.
Nowadays, the elderly often do various exercises for their health or participate in various activities.
However, since the blood pressure, blood sugar, blood fat, disease of the elderly, or whether or not an operation is performed, etc., have a certain influence on exercise, if the exercise suitable for the physical condition of the elderly cannot be performed according to the condition of the elderly, the elderly will have a certain damage to the body.
Disclosure of Invention
Technical problem
The invention provides an old people movement risk assessment system, which is used for solving the problem that certain damage is caused to the body if the old people cannot exercise according to the self condition because the blood pressure, the blood sugar, the blood fat, the disease or whether the old people perform an operation or not, and the like of the old people have certain influence on the exercise in the background technology.
Disclosure of Invention
An elderly sports risk assessment system comprises the following information processing units;
questionnaire processing unit: calculating a corresponding motion risk level by using an algorithm according to a survey result by setting a questionnaire survey;
personal basic exercise intensity module: recording the daily amount of exercise of the individual;
personal safety heart rate module: corresponding calculation is carried out according to the age and the fixed value of the individual,
the motion intensity adjusting amplitude module: carrying out corresponding suggestion on a later-stage movement plan according to the regular movement data and the adjustment amplitude recording data of each stage;
personalized sports advice: the questionnaire survey processing unit, the personal basic exercise intensity module, the personal safety heart rate module and the exercise intensity adjusting amplitude module are used for carrying out corresponding data acquisition, analyzing and comparing to give suggestions.
Further, the questionnaire survey module comprises:
personal letter input module: the block is filled with corresponding personal information at first, and then the risk level of the movement is judged according to the personal information;
questionnaire information evaluation module: by arranging the corresponding question bank, people correspondingly fill in the information in the question bank, and then exercise risks of the part are obtained according to the structure of the answer;
a motion evaluation module: the movement risk is evaluated by people moving in the corresponding time and filling the movement structure in the time according to the actual situation.
Further, the personal letter input module comprises name, gender: male/female, body weight, blood type: AX/B/O/AB, marital status, year/age of birth, identification number, contact address, emergency contact, address, standing type, and pre-retirement career;
the algorithm of this part is: the system self-defined age group is divided into 4 sections which are respectively: a.60 years old or younger, b.60-69 years old, c.70-79 years old, d.80 years old +, and defining the ages 60-69 years old, the exercise risk label is labeled: low risk; age 70-79 years, exercise risk label: medium risk, age 80 + with exercise risk label: high risk;
a basic information module: comprises (1) a history of symptoms, 1, no symptoms, 2 headache, 3 dizziness, 4 palpitation, 5 chest distress, 6 chest pain, 6 dyspnea, 7 lumbago, 8 chronic cough, 9 stiff joints, 10 polydipsia, 11 polyuria, 12 weight loss, 13 fatigue, 14 joint swelling, 15 blurred vision, 16 numbness of hands and feet, 17 urgency, 18 odynuria, 19 constipation, 21 insomnia, 22 dim eyesight, 23 tinnitus, 24 hemorrhoids, 25 other ____ (optional);
(2) disease history, 1 has no 2 hypertension, 3 diabetes, 4 osteoarthritis, 5 chronic obstructive pulmonary disease, 6 heart disease, 7 rheumatoid arthritis, 8 lumbar disc herniation, 9 osteoporosis, 10 scapulohumeral periarthritis, 11 infectious disease, 12 tumor, _____13 sleep problem, 14 has no _____,
(3) the BMI automatically leads the information recorded in the module into the corresponding way and judges whether the information is more than 30,
BMI = weight (kg) ÷ height (m);
(4) family history, family heart disease or cardiac surgery history-yes/no;
(5) smoking history, smoking or quitting smoking is less than 6 months or smoking a second hand for a long time-yes/no;
(6) medicine, whether medicine is taken or not, 1 antibiotic medicine, 2 hypertension medicine, 3 diabetes medicine, 4 pain relieving medicine, 5 other medicine (medicine name) _________
(7) Dietary habits, 1. meat and vegetable balance 2 meat and vegetable basis 3 vegetable basis 4 halophilic 5 oleophilic 6 sacchariphilic _________
(8) The operation history, 1 has no 2, namely the time ____ of the name 1 ____/the time ____ of the name 2 ____;
(9) 2 of the trauma history 1, namely the time ____ of the name 1 ____/the time ____ of the name 2____
The questionnaire algorithm is: each filled question answers 0, 1, cumulatively, and there is a health risk, and the exercise risk label is labeled: low risk;
there are two or more health risks, and the exercise risk label is labeled: medium risk;
a risk factor module: the risk factors are located as: (1) extremely high risk, (2) high risk, (3) medium risk, (4) low risk,
the corresponding evaluation criteria are: extremely high risk: two or more diseases or 1 disease + age above 80 years, high risk: 1 disease or medium risk over age 80 years: age 70-79 or health risk exists in two or more ages 60-69 and there is one or more health risk, low risk: age 60-69 years or a health risk.
Further, the questionnaire information evaluation module comprises a plurality of basic questions and supplementary questions;
the partial algorithm is as follows: all basic questions are answered no: direct entry motion assessment module
Q8 in the basic topic is: and (5) finishing the questionnaire, and outputting a conclusion: please consult doctor (motion not suggested)
The q1-7 answer in the basic topic is: continue to do the question.
Further, the motion estimation module includes:
(1) cardiopulmonary capacity: the content is as follows: six minute walk test case, case: completing filling form-engine association index: walking distance 2. incomplete (termination test condition) filling form;
questionnaire algorithm: 1. the finished label is normal, the distance is obtained, and the mets 2 is calculated, the unfinished test population is abnormal and is marked as extremely high risk and unusual movement;
(2) flexibility: the content is as follows: self-test questionnaire/joint mobility measurements, conditions: which joint(s) are restricted in their activity from the following options: A) a shoulder joint; B) an elbow joint; C) a wrist joint; D) a hip joint; E) a knee joint; F) an ankle joint; G) the joint-free movement is limited;
the algorithm is as follows: 1. selecting G, wherein the label is normal, the stretching training has no difference, 2, selecting A-F, wherein the label is abnormal, corresponding stretching movement of related muscle joints is performed aiming at the option, the upper limb A.B.C. is limited to perform corresponding upper limb stretching movement, the lower limb D.E.F. is limited to perform corresponding lower limb stretching movement, and the trunk stretching is performed;
(3) balancing: the content is as follows: self-test questionnaire/balance ability test table, case: q1. whether a fall has occurred in the last 1 year, yes/no; q2. self-evaluate balance ability, good/bad;
the algorithm is as follows: question 1 answers no and question 2 answers well, with the label normal; in other cases, the label is abnormal, and a lower limb muscle strength training is needed.
Further, the motion intensity adjustment amplitude module includes: (1) judging whether the person is in the store, wherein the blood pressure and heart rate data before and after the person is in the store;
1. when the last arrival time exceeds one week, amplitude = 0;
2. on average, 4 times per week to store, and the last time to store within one week, the amplitude = [ (current date-last exercise recommended date)/7 ] is rounded by 10%3, otherwise, the amplitude = 0;
(2) each time the movement data is recorded.
Compared with the prior art, the invention has the following beneficial effects:
according to the invention, after the basic information is input, the conditions of the old are judged according to the corresponding options, and meanwhile, the motion mode is recommended according to various indexes of the old, so that the private customization effect is realized.
Drawings
FIG. 1 is a schematic diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment provides an old people motion risk assessment system, which comprises the following information processing units;
questionnaire processing unit: calculating a corresponding motion risk level by using an algorithm according to a survey result by setting a questionnaire survey;
personal basic exercise intensity module: recording the daily amount of exercise of the individual;
personal safety heart rate module: corresponding calculation is carried out according to the age and the fixed value of the individual,
the motion intensity adjusting amplitude module: carrying out corresponding suggestion on a later-stage movement plan according to the regular movement data and the adjustment amplitude recording data of each stage;
personalized sports advice: the questionnaire survey processing unit, the personal basic exercise intensity module, the personal safety heart rate module and the exercise intensity adjusting amplitude module are used for carrying out corresponding data acquisition, analyzing and comparing to give suggestions.
The questionnaire survey module comprises: personal letter input module: the block is filled with corresponding personal information at first, and then the risk level of the movement is judged according to the personal information;
questionnaire information evaluation module: by arranging the corresponding question bank, people correspondingly fill in the information in the question bank, and then exercise risks of the part are obtained according to the structure of the answer;
a motion evaluation module: the movement risk is evaluated by people moving in the corresponding time and filling the movement structure in the time according to the actual situation.
The personal letter input module comprises name and gender: male/female, body weight, blood type: AX/B/O/AB, marital status, year/age of birth, identification number, contact address, emergency contact, address, standing type, and pre-retirement career;
the algorithm of this part is: the system self-defined age group is divided into 4 sections which are respectively: a.60 years old or younger, b.60-69 years old, c.70-79 years old, d.80 years old +, and defining the ages 60-69 years old, the exercise risk label is labeled: low risk; age 70-79 years, exercise risk label: medium risk, age 80 + with exercise risk label: high risk;
the personal information input module has the following operation logics:
a basic information module: comprises (1) a history of symptoms, 1, no symptoms, 2 headache, 3 dizziness, 4 palpitation, 5 chest distress, 6 chest pain, 6 dyspnea, 7 lumbago, 8 chronic cough, 9 stiff joints, 10 polydipsia, 11 polyuria, 12 weight loss, 13 fatigue, 14 joint swelling, 15 blurred vision, 16 numbness of hands and feet, 17 urgency, 18 odynuria, 19 constipation, 21 insomnia, 22 dim eyesight, 23 tinnitus, 24 hemorrhoids, 25 other ____ (optional);
(2) disease history, 1 has no 2 hypertension, 3 diabetes, 4 osteoarthritis, 5 chronic obstructive pulmonary disease, 6 heart disease, 7 rheumatoid arthritis, 8 lumbar disc herniation, 9 osteoporosis, 10 scapulohumeral periarthritis, 11 infectious disease, 12 tumor, _____13 sleep problem, 14 has no _____,
(3) the BMI automatically leads the information recorded in the module into the corresponding way and judges whether the information is more than 30,
BMI = weight (kg) ÷ height (m);
(4) family history, family heart disease or cardiac surgery history-yes/no;
(5) smoking history, smoking or quitting smoking is less than 6 months or smoking a second hand for a long time-yes/no;
(6) medicine, whether medicine is taken or not, 1 antibiotic medicine, 2 hypertension medicine, 3 diabetes medicine, 4 pain relieving medicine, 5 other medicine (medicine name) _________
(7) Dietary habits, 1. meat and vegetable balance 2 meat and vegetable basis 3 vegetable basis 4 halophilic 5 oleophilic 6 sacchariphilic _________
(8) The operation history, 1 has no 2, namely the time ____ of the name 1 ____/the time ____ of the name 2 ____;
(9) 2 of the trauma history 1, namely the time ____ of the name 1 ____/the time ____ of the name 2____
The questionnaire algorithm is: each filled question answers 0, 1, cumulatively, and there is a health risk, and the exercise risk label is labeled: low risk;
there are two or more health risks, and the exercise risk label is labeled: medium risk;
a risk factor module: the risk factors are located as: (1) extremely high risk, (2) high risk, (3) medium risk, (4) low risk,
the corresponding evaluation criteria are: extremely high risk: two or more diseases or 1 disease + age above 80 years, high risk: 1 disease or medium risk over age 80 years: age 70-79 or health risk exists in two or more ages 60-69 and there is one or more health risk, low risk: age 60-69 years or a health risk.
The questionnaire information evaluation module comprises a plurality of basic questions and supplementary questions;
the partial algorithm is as follows: all basic questions are answered no: direct entry motion assessment module
Q8 in the basic topic is: and (5) finishing the questionnaire, and outputting a conclusion: please consult doctor (motion not suggested)
The q1-7 answer in the basic topic is: continue to do the question.
The motion assessment module comprises: (1) cardiopulmonary capacity: the content is as follows: six minute walk test case, case: completing filling form-engine association index: walking distance 2. incomplete (termination test condition) filling form;
questionnaire algorithm: 1. the finished label is normal, the distance is obtained, and the mets 2 is calculated, the unfinished test population is abnormal and is marked as extremely high risk and unusual movement;
(2) flexibility: the content is as follows: self-test questionnaire/joint mobility measurements, conditions: which joint(s) are restricted in their activity from the following options: A) a shoulder joint; B) an elbow joint; C) a wrist joint; D) a hip joint; E) a knee joint; F) an ankle joint; G) the joint-free movement is limited;
the algorithm is as follows: 1. selecting G, wherein the label is normal, the stretching training has no difference, 2, selecting A-F, wherein the label is abnormal, corresponding stretching movement of related muscle joints is performed aiming at the option, the upper limb A.B.C. is limited to perform corresponding upper limb stretching movement, the lower limb D.E.F. is limited to perform corresponding lower limb stretching movement, and the trunk stretching is performed;
(3) balancing: the content is as follows: self-test questionnaire/balance ability test table, case: q1. whether a fall has occurred in the last 1 year, yes/no; q2. self-evaluate balance ability, good/bad;
the operation method table of the basic information module comprises the following steps:
the motion intensity adjustment amplitude module comprises: (1) judging whether the person is in the store, wherein the blood pressure and heart rate data before and after the person is in the store;
1. when the last arrival time exceeds one week, amplitude = 0;
2. on average, 4 times per week to store, and the last time to store within one week, the amplitude = [ (current date-last exercise recommended date)/7 ] is rounded by 10%3, otherwise, the amplitude = 0;
(2) each time the movement data is recorded.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (6)
1. An elderly sports risk assessment system comprises the following information processing units;
questionnaire processing unit: calculating a corresponding motion risk level by using an algorithm according to a survey result by setting a questionnaire survey;
personal basic exercise intensity module: recording the daily amount of exercise of the individual;
personal safety heart rate module: corresponding calculation is carried out according to the age and the fixed value of the individual,
the motion intensity adjusting amplitude module: carrying out corresponding suggestion on a later-stage movement plan according to the regular movement data and the adjustment amplitude recording data of each stage;
personalized sports advice: the questionnaire survey processing unit, the personal basic exercise intensity module, the personal safety heart rate module and the exercise intensity adjusting amplitude module are used for carrying out corresponding data acquisition, analyzing and comparing to give suggestions.
2. The system of claim 1, wherein the system comprises: the questionnaire survey module comprises:
personal letter input module: the block is filled with corresponding personal information at first, and then the risk level of the movement is judged according to the personal information;
questionnaire information evaluation module: by arranging the corresponding question bank, people correspondingly fill in the information in the question bank, and then exercise risks of the part are obtained according to the structure of the answer;
a motion evaluation module: the movement risk is evaluated by people moving in the corresponding time and filling the movement structure in the time according to the actual situation.
3. The elderly athletic risk assessment system of claim 2, wherein: the personal letter input module comprises name and gender: male/female, body weight, blood type: AX/B/O/AB, marital status, year/age of birth, identification number, contact address, emergency contact, address, standing type, and pre-retirement career;
the algorithm of this part is: the system self-defined age group is divided into 4 sections which are respectively: a.60 years old or younger, b.60-69 years old, c.70-79 years old, d.80 years old +, and defining the ages 60-69 years old, the exercise risk label is labeled: low risk; age 70-79 years, exercise risk label: medium risk, age 80 + with exercise risk label: high risk;
a basic information module: comprises (1) a history of symptoms, 1, no symptoms, 2 headache, 3 dizziness, 4 palpitation, 5 chest distress, 6 chest pain, 6 dyspnea, 7 lumbago, 8 chronic cough, 9 stiff joints, 10 polydipsia, 11 polyuria, 12 weight loss, 13 fatigue, 14 joint swelling, 15 blurred vision, 16 numbness of hands and feet, 17 urgency, 18 odynuria, 19 constipation, 21 insomnia, 22 dim eyesight, 23 tinnitus, 24 hemorrhoids, 25 other ____ (optional);
(2) disease history, 1 has no 2 hypertension, 3 diabetes, 4 osteoarthritis, 5 chronic obstructive pulmonary disease, 6 heart disease, 7 rheumatoid arthritis, 8 lumbar disc herniation, 9 osteoporosis, 10 scapulohumeral periarthritis, 11 infectious disease, 12 tumor, _____13 sleep problem, 14 has no _____,
(3) the BMI automatically leads the information recorded in the module into the corresponding way and judges whether the information is more than 30,
BMI = weight (kg) ÷ height (m);
(4) family history, family heart disease or cardiac surgery history-yes/no;
(5) smoking history, smoking or quitting smoking is less than 6 months or smoking a second hand for a long time-yes/no;
(6) medicine, whether medicine is taken or not, 1 antibiotic medicine, 2 hypertension medicine, 3 diabetes medicine, 4 pain relieving medicine, 5 other medicine (medicine name) _________
(7) Dietary habits, 1. meat and vegetable balance 2 meat and vegetable basis 3 vegetable basis 4 halophilic 5 oleophilic 6 sacchariphilic _________
(8) The operation history, 1 has no 2, namely the time ____ of the name 1 ____/the time ____ of the name 2 ____;
(9) 2 of the trauma history 1, namely the time ____ of the name 1 ____/the time ____ of the name 2____
The questionnaire algorithm is: each filled question answers 0, 1, cumulatively, and there is a health risk, and the exercise risk label is labeled: low risk;
there are two or more health risks, and the exercise risk label is labeled: medium risk;
a risk factor module: the risk factors are located as: (1) extremely high risk, (2) high risk, (3) medium risk, (4) low risk,
the corresponding evaluation criteria are: extremely high risk: two or more diseases or 1 disease + age above 80 years, high risk: 1 disease or medium risk over age 80 years: age 70-79 or health risk exists in two or more ages 60-69 and there is one or more health risk, low risk: age 60-69 years or a health risk.
4. The elderly athletic risk assessment system of claim 2, wherein: the questionnaire information evaluation module comprises a plurality of basic questions and supplementary questions;
the partial algorithm is as follows: all basic questions are answered no: direct entry motion assessment module
Q8 in the basic topic is: and (5) finishing the questionnaire, and outputting a conclusion: please consult doctor (motion not suggested)
The q1-7 answer in the basic topic is: continue to do the question.
5. The elderly sports risk assessment system according to claim 4, wherein: the motion assessment module comprises:
(1) cardiopulmonary capacity: the content is as follows: six minute walk test case, case: completing filling form-engine association index: walking distance 2. incomplete (termination test condition) filling form;
questionnaire algorithm: 1. the finished label is normal, the distance is obtained, and the mets 2 is calculated, the unfinished test population is abnormal and is marked as extremely high risk and unusual movement;
(2) flexibility: the content is as follows: self-test questionnaire/joint mobility measurements, conditions: which joint(s) are restricted in their activity from the following options: A) a shoulder joint; B) an elbow joint; C) a wrist joint; D) a hip joint; E) a knee joint; F) an ankle joint; G) the joint-free movement is limited;
the algorithm is as follows: 1. selecting G, wherein the label is normal, the stretching training has no difference, 2, selecting A-F, wherein the label is abnormal, corresponding stretching movement of related muscle joints is carried out aiming at the option, the upper limb A.B.C. is limited to carry out corresponding upper limb stretching movement, the lower limb D.E.F. is limited to carry out corresponding lower limb stretching movement, and the trunk stretching is carried out;
(3) balancing: the content is as follows: self-test questionnaire/balance ability test table, case: q1. whether a fall has occurred in the last 1 year, yes/no; q2. self-evaluate balance ability, good/bad;
the algorithm is as follows: question 1 answers no and question 2 answers well, with the label normal; in other cases, the label is abnormal, and a lower limb muscle strength training is needed.
6. The elderly sports risk assessment system according to claim 4, wherein: the motion intensity adjustment amplitude module comprises: (1) judging whether the person is in the store, wherein the blood pressure and heart rate data before and after the person is in the store;
1. when the last arrival time exceeds one week, amplitude = 0;
2. on average, 4 times per week to store, and the last time to store within one week, the amplitude = [ (current date-last exercise recommended date)/7 ] is rounded by 10%3, otherwise, the amplitude = 0;
(2) each time the movement data is recorded.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010210146.4A CN111243688A (en) | 2020-03-24 | 2020-03-24 | Old person's motion risk evaluation system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010210146.4A CN111243688A (en) | 2020-03-24 | 2020-03-24 | Old person's motion risk evaluation system |
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| CN111243688A true CN111243688A (en) | 2020-06-05 |
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Cited By (2)
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| CN114373549A (en) * | 2022-03-22 | 2022-04-19 | 北京大学 | Self-adaptive exercise prescription health intervention method and system for old people |
| CN114582447A (en) * | 2022-05-05 | 2022-06-03 | 成都尚医信息科技有限公司 | Test pushing method and system |
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| CN114373549A (en) * | 2022-03-22 | 2022-04-19 | 北京大学 | Self-adaptive exercise prescription health intervention method and system for old people |
| CN114373549B (en) * | 2022-03-22 | 2022-06-10 | 北京大学 | Self-adaptive exercise prescription health intervention method and system for old people |
| CN114582447A (en) * | 2022-05-05 | 2022-06-03 | 成都尚医信息科技有限公司 | Test pushing method and system |
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