CN113842129A - Method for monitoring human body state abnormity - Google Patents
Method for monitoring human body state abnormity Download PDFInfo
- Publication number
- CN113842129A CN113842129A CN202111158870.8A CN202111158870A CN113842129A CN 113842129 A CN113842129 A CN 113842129A CN 202111158870 A CN202111158870 A CN 202111158870A CN 113842129 A CN113842129 A CN 113842129A
- Authority
- CN
- China
- Prior art keywords
- heart rate
- alarm threshold
- value
- human body
- state
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
Images
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
- A61B5/02438—Detecting, measuring or recording pulse rate or heart rate with portable devices, e.g. worn by the patient
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Medical Informatics (AREA)
- Physiology (AREA)
- Physics & Mathematics (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Cardiology (AREA)
- Dentistry (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The invention belongs to the technical field of intelligent monitoring, and particularly relates to a method for monitoring abnormal human body state, wherein a heart rate upper limit alarm threshold value and a heart rate lower limit alarm threshold value are established in a health database according to age, height, weight, gender and human body state; determining the current state of the monitored personnel according to the triaxial acceleration sensor to realize the monitoring of the motion state; and then, based on the determined state, determining an alarm threshold value, and comparing the actually monitored heart rate value with the alarm threshold value, thereby realizing the monitoring of the abnormity of the monitored personnel under different states, ages and new characters and with different heights and weights.
Description
Technical Field
The invention belongs to the technical field of intelligent monitoring, and particularly relates to a method for monitoring human body state abnormity.
Background
The heart rate is the number of beats per minute of the human heart, and in human parameter detection, the heart rate is a very important index and provides reference for medical diagnosis. Meanwhile, the heart rate can also be used as an objective evaluation index of the physiological load of the human body, and is widely applied to various aspects of fitness exercise and competitive sports training.
At present, heart rate monitoring can remind the sportsman to regularly carry out the motion in body-building application, records the motion process of sportsman in the motion process, if: the starting and stopping time, the movement route, the movement amplitude curve, the heat value of possible combustion and the like optimize the exercise process of the sportsman.
Then, the existing heart rate monitoring is applied to fitness, the safety condition of the sportsman is not monitored in real time, the abnormal condition of the sportsman cannot be monitored, and the sportsman is possibly trapped in a dangerous condition.
Disclosure of Invention
The invention discloses a method for monitoring human body state abnormity, which aims to solve the problem that the abnormal condition of a sportsman cannot be monitored in the background technology, so that the sportsman is in danger.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows:
a method for monitoring human body state abnormity is applied to an intelligent terminal worn on a human body, and comprises the following steps:
step 1: establishing a heart rate upper limit alarm threshold value and a heart rate lower limit alarm threshold value in a health database according to the age, the height, the weight, the sex and the human body state;
step 2: detecting the current human body state based on a three-axis acceleration sensor of the intelligent terminal;
and step 3: calling a heart rate upper limit alarm threshold value and a heart rate lower limit holding threshold value corresponding to the corresponding human body state in the health database based on the actually detected human body state in the step 2 and the age, height, weight and sex of the monitored person;
and 4, step 4: monitoring the heart rate of the human body in real time based on a heart rate sensor, and comparing the heart rate with the upper heart rate limit alarm threshold value and the lower heart rate limit alarm threshold value called in the step 3; if the real-time monitored human heart rate is smaller than the lower heart rate alarm threshold or larger than the upper heart rate alarm threshold, alarming and executing the step 5; if the real-time monitored human body heart rate is larger than the lower heart rate alarm threshold and smaller than the upper heart rate alarm threshold, no alarm operation is performed;
and 5: the wearing end asks for help based on a remote communication protocol; and loading the current positioning information in the distress information based on the positioning module.
According to the invention, a heart rate upper limit alarm threshold value and a heart rate lower limit alarm threshold value are established in a health database according to age, height, weight, sex and human body state; determining the current state of the monitored personnel according to the triaxial acceleration sensor to realize the monitoring of the motion state; and then, based on the determined state, determining an alarm threshold value, and comparing the actually monitored heart rate value with the alarm threshold value, thereby realizing the monitoring of the abnormity of the monitored personnel under different states, ages and new characters and with different heights and weights.
Preferably, the step 2 comprises the following steps:
step 2.1: acquiring three axial acceleration values of a triaxial acceleration sensor, and calculating a total acceleration value of the three axial acceleration values to obtain a sampling data curve of the total acceleration value;
step 2.2: sequentially performing first-order low-pass filtering processing and a plurality of times of moving average filtering processing on the sampled data curve of the combined acceleration value;
step 2.3: determining a step-counting peak in a sampling data curve of the combined acceleration value by adopting a peak value detection method, and then performing data analysis;
step 2.4: and judging whether the preset state condition is met or not so as to judge the current state of the human body.
Preferably, the setting of the upper heart rate threshold and the lower heart rate threshold includes the following steps:
step 1.1: in the initial state, respectively determining the upper limit and the lower limit of the normal heart rate of each combination according to different combinations of age, height, weight, sex and human body state, and storing the determined upper limit and the determined lower limit of the normal heart rate into a health database to be used as an upper alarm threshold and a lower alarm threshold of the heart rate;
step 1.2: setting a historical database for storing historical data, and setting historical data access rules in the intelligent terminal;
step 1.3: and the intelligent terminal calls historical data in the historical database based on the access rule and is used for updating the upper heart rate limit alarm threshold value and the lower heart rate limit alarm threshold value in the health database.
Preferably, the updating steps of the heart rate upper limit alarm threshold and the heart rate lower limit alarm threshold in step 1.3 are as follows:
step 1.31: acquiring a heart rate upper limit alarm threshold value and a heart rate lower limit alarm threshold value corresponding to the current state of the human body in a health database based on the current state of the human body detected in the step 1;
step 1.32: comparing the lowest heart rate value of the historical data in the historical database with a heart rate lower limit alarm threshold, and if the lowest heart rate value is lower than the heart rate lower limit alarm threshold and the lowest heart rate value is marked as a normal heart rate in the intelligent terminal, taking the lowest heart rate value as a new heart rate lower limit alarm threshold; if the lowest heart rate value is higher than the lower heart rate limit alarm threshold value, taking the normal lowest heart rate as the lower heart rate limit alarm threshold value;
step 1.33: comparing the highest heart rate value with the highest normal heart rate value in the historical data, and if the highest heart rate value is lower than the highest normal heart rate value, taking the highest normal heart rate value as an upper alarm threshold of the heart rate; if the highest heart rate value is higher than the highest normal heart rate and the highest heart rate value is marked as the normal heart rate in the system, the highest heart rate value in the historical data is used as the upper alarm threshold value of the heart rate.
The invention effectively avoids the false alarm caused by the constitution difference by continuously updating the alarm threshold value.
Preferably, the labeling of the normal heart rate in step 1.32 and step 1.33 is performed as follows:
when the monitored minimum heart rate value is lower than the normal minimum heart rate value, alarming, when the monitored personnel think that the alarm is invalid, declaring, if the declaration is successful, selecting the current alarm as an invalid alarm, and marking the minimum heart rate value corresponding to the alarm as the normal heart rate;
and when the monitored personnel think that the alarm is invalid and declare the successful current alarm as an invalid alarm, marking the highest heart rate value corresponding to the alarm as a normal heart rate.
Preferably, the steps described are as follows:
after the monitored person selects to declare an invalid alarm, the system is communicated with a medical system based on a wireless network module, and related heart examination information is retrieved according to the identity information of the monitored person; and declaring success after the checking information is determined to be normal.
When the alarm is given, the alarm can be declared through the inspection report, so that a wearer can actively inspect after an abnormal condition is found, and the missing of an optimal treatment period is avoided.
Preferably, the human body state includes a sleep state, a leisure state and a sport state;
the sleep state is determined based on a triaxial acceleration sensor and a time module;
the leisure state and the sport state are determined based on a three-axis acceleration sensor.
Preferably, the access rule in step 1.2 is that the intelligent terminal needs to access the historical database at a time interval of one week to update the upper alarm threshold and the lower alarm threshold of the heart rate.
Further, if the leisure state is monitored within 4 consecutive weeks, the actually monitored lowest heart rate values are all larger than the lower limit of the normal heart rate set in the initial state in the step 1.1 and smaller than the normal heart rate set in the initial state in the step 1.1, and the normal heart rate set in the initial state is used as the lower limit of the heart rate alarm threshold.
Because some athletes have low heart rates, if the wearer is in the period of being the athlete, the updated threshold value is the lowest heart rate value of the history of the wearer as an alarm threshold value; however, if the wearer has left the athlete's position and has not exercised frequently during the departure, the wearer's actual heart rate value may return to the normal person's heart rate interval; therefore, if the heart rate is in a leisure state within 4 consecutive weeks, the actually monitored heart rate values are all larger than the lower limit of the heart rate set in the initial state in the step 1.1 and smaller than the step
1.1, if the normal heart rate state is set in the initial state, the normal heart rate state set in the initial state is used as the lower limit alarm threshold of the heart rate. The problem that athletes recovering to the heart rate interval of normal people cannot monitor the heart rate interval under the condition that the heart rate is reduced is avoided.
In summary, due to the adoption of the technical scheme, the invention has the beneficial effects that: 1. according to the invention, a heart rate upper limit alarm threshold value and a heart rate lower limit alarm threshold value are established in a health database according to age, height, weight, sex and human body state; determining the current state of the monitored personnel according to the triaxial acceleration sensor to realize the monitoring of the motion state; and then, based on the determined state, determining an alarm threshold value, and comparing the actually monitored heart rate value with the alarm threshold value, thereby realizing the monitoring of the abnormity of the monitored personnel under different states, ages and new characters and with different heights and weights.
2. According to the invention, based on the heart rate value monitored at any moment, if the heart rate value which is not in the range of the normal heart rate value is annotated as the value of the normal heart rate, the normal heart rate value is taken as the heart rate alarm threshold value, so that the false alarm caused by the same condition in the later period is avoided.
3. By adopting the invention, the problem that the athlete recovering to the heart rate interval of a normal person can not monitor the heart rate interval when the heart rate is reduced is effectively avoided.
Drawings
The invention will now be described, by way of example, with reference to the accompanying drawings, in which:
FIG. 1 is a schematic diagram of the system of the present invention;
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments. The components of embodiments of the present application, generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.
Referring to FIG. 1, a preferred embodiment of the present invention will be described in detail; a
A method for monitoring human body state abnormity is applied to an intelligent terminal worn on a human body, and comprises the following steps:
step 1: establishing a heart rate upper limit alarm threshold value and a heart rate lower limit alarm threshold value in a health database according to the age, the height, the weight, the sex and the human body state;
the setting of the upper heart rate threshold and the lower heart rate threshold comprises the following steps:
step 1.1: in the initial state, respectively determining the upper limit and the lower limit of the normal heart rate of each combination according to different combinations of age, height, weight, sex and human body state, and storing the determined upper limit and the determined lower limit of the normal heart rate into a health database to be used as an upper alarm threshold and a lower alarm threshold of the heart rate;
step 1.2: setting a historical database for storing historical data, and setting historical data access rules in the intelligent terminal;
step 1.3: and the intelligent terminal calls historical data in the historical database based on the access rule and is used for updating the upper heart rate limit alarm threshold value and the lower heart rate limit alarm threshold value in the health database.
The updating steps of the heart rate upper limit alarm threshold value and the heart rate lower limit alarm threshold value in the step 1.3 are as follows:
step 1.31: acquiring a heart rate upper limit alarm threshold value and a heart rate lower limit alarm threshold value corresponding to the current state of the human body in a health database based on the current state of the human body detected in the step 1;
step 1.32: comparing the lowest heart rate value of the historical data in the historical database with a heart rate lower limit alarm threshold, and if the lowest heart rate value is lower than the heart rate lower limit alarm threshold and the lowest heart rate value is marked as a normal heart rate in the intelligent terminal, taking the lowest heart rate value as a new heart rate lower limit alarm threshold; if the lowest heart rate value is higher than the lower heart rate limit alarm threshold value, taking the normal lowest heart rate as the lower heart rate limit alarm threshold value;
step 1.33: comparing the highest heart rate value with the highest normal heart rate value in the historical data, and if the highest heart rate value is lower than the highest normal heart rate value, taking the highest normal heart rate value as an upper alarm threshold of the heart rate; if the highest heart rate value is higher than the highest normal heart rate and the highest heart rate value is marked as the normal heart rate in the system, the highest heart rate value in the historical data is used as the upper alarm threshold value of the heart rate.
For example: normal heart rate of a normal person is between 60-100 beats/minute when not exercising; if the heart rate of the monitored person is 58 times/minute within 5 minutes; it is significantly lower than the normal heart rate; at this time, an alarm needs to be sent out; if the heart rate is marked as a normal long heart rate, no alarm is given;
if the heart rate of the monitored person is 75 times/minute within 5 minutes, the heart rate is within the interval range of the normal heart rate, and the heart rate is divided into a heart rate alarm lower limit threshold value and a heart rate alarm upper limit threshold value by 60-100 times/minute.
The labeling of the normal heart rate in step 1.32 and step 1.33 adopts the following method:
when the monitored minimum heart rate value is lower than the normal minimum heart rate value, alarming, when the monitored personnel think that the alarm is invalid, declaring, if the declaration is successful, selecting the current alarm as an invalid alarm, and marking the minimum heart rate value corresponding to the alarm as the normal heart rate;
and when the monitored personnel think that the alarm is invalid and declare the successful current alarm as an invalid alarm, marking the highest heart rate value corresponding to the alarm as a normal heart rate.
For example: when the heart rate of the monitored person is 58 times/minute and no problem is found after the heart rate is checked, stating an alarm result, uploading a check report and identifying keywords by a system; determining the alarm as an invalid alarm; heart rate is annotated 58 times/score as normal heart rate.
The following steps are described:
after the monitored person selects to declare an invalid alarm, the system is communicated with a medical system based on a wireless network module, and related heart examination information is retrieved according to the identity information of the monitored person; and declaring success after the checking information is determined to be normal.
When the alarm is given, the alarm can be declared through the inspection report, so that a wearer can actively inspect after an abnormal condition is found, and the missing of an optimal treatment period is avoided.
Because the related reports of most hospitals are transmitted to the WeChat small program at present, the intelligent terminal can obtain the inspection information of the monitored personnel only by obtaining the related information in the WeChat small program based on the wireless network module; the key fields are identified, so that whether the alarm is an invalid alarm or not is automatically determined; and it needs to be determined that the time of the relevant examination report should be later than the corresponding alarm time.
Step 2: detecting the current human body state based on a three-axis acceleration sensor of the intelligent terminal;
step 2.1: acquiring three axial acceleration values of a triaxial acceleration sensor, and calculating a total acceleration value of the three axial acceleration values to obtain a sampling data curve of the total acceleration value;
step 2.2: sequentially performing first-order low-pass filtering processing and a plurality of times of moving average filtering processing on the sampled data curve of the combined acceleration value;
step 2.3: determining a step-counting peak in a sampling data curve of the combined acceleration value by adopting a peak value detection method, and then performing data analysis;
step 2.4: and judging whether the preset state condition is met or not so as to judge the current state of the human body.
And step 3: calling a heart rate upper limit alarm threshold value and a heart rate lower limit holding threshold value corresponding to the corresponding human body state in the health database based on the actually detected human body state in the step 2 and the age, height, weight and sex of the monitored person;
and 4, step 4: monitoring the heart rate of the human body in real time based on a heart rate sensor, and comparing the heart rate with the upper heart rate limit alarm threshold value and the lower heart rate limit alarm threshold value called in the step 3; if the real-time monitored human heart rate is smaller than the lower heart rate alarm threshold or larger than the upper heart rate alarm threshold, alarming and executing the step 5; if the real-time monitored human body heart rate is larger than the lower heart rate alarm threshold and smaller than the upper heart rate alarm threshold, no alarm operation is performed;
and 5: the wearing end asks for help based on a remote communication protocol; and loading the current positioning information in the distress information based on the positioning module.
According to the invention, a heart rate upper limit alarm threshold value and a heart rate lower limit alarm threshold value are established in a health database according to age, height, weight, sex and human body state; determining the current state of the monitored personnel according to the triaxial acceleration sensor to realize the monitoring of the motion state; and then, based on the determined state, determining an alarm threshold value, and comparing the actually monitored heart rate value with the alarm threshold value, thereby realizing the monitoring of the abnormity of the monitored personnel under different states, ages and new characters and with different heights and weights.
The human body state comprises a sleep state, a leisure state and a motion state;
the sleep state is determined based on a triaxial acceleration sensor and a time module;
the leisure state and the sport state are determined based on a three-axis acceleration sensor.
The access rule in step 1.2 is that the intelligent terminal needs to access the historical database at the time of one week interval to update the upper alarm threshold and the lower alarm threshold of the heart rate.
If the leisure state is monitored within the continuous time of 4 weeks, the actually monitored lowest heart rate value is larger than the lower limit of the normal heart rate set in the initial state in the step 1.1 and smaller than the normal heart rate set in the initial state in the step 1.1, and the normal heart rate set in the initial state is used as the lower limit alarm threshold of the heart rate.
Because some athletes have low heart rates, if the wearer is in the period of being the athlete, the updated threshold value is the lowest heart rate value of the history of the wearer as an alarm threshold value; however, if the wearer has left the athlete's position and has not exercised frequently during the departure, the wearer's actual heart rate value may return to the normal person's heart rate interval; therefore, if the heart rate value is continuously monitored within 4 weeks and is in a leisure state, the actually monitored heart rate value is larger than the lower limit of the heart rate set in the initial state in the step 1.1 and is smaller than the normal heart rate set in the initial state in the step 1.1, and the normal heart rate set in the initial state is used as the lower limit of the heart rate alarm threshold. The problem that athletes recovering to the heart rate interval of normal people cannot monitor the heart rate interval under the condition that the heart rate is reduced is avoided.
The above-mentioned embodiments only express the specific embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for those skilled in the art, without departing from the technical idea of the present application, several changes and modifications can be made, which are all within the protection scope of the present application.
Claims (9)
1. A method for monitoring human body state abnormity is applied to an intelligent terminal worn on a human body, and comprises the following steps:
step 1: establishing a heart rate upper limit alarm threshold value and a heart rate lower limit alarm threshold value in a health database according to the age, the height, the weight, the sex and the human body state;
step 2: detecting the current human body state based on a three-axis acceleration sensor of the intelligent terminal;
and step 3: calling a heart rate upper limit alarm threshold value and a heart rate lower limit holding threshold value corresponding to the corresponding human body state in the health database based on the actually detected human body state in the step 2 and the age, height, weight and sex of the monitored person;
and 4, step 4: monitoring the heart rate of the human body in real time based on a heart rate sensor, and comparing the heart rate with the upper heart rate limit alarm threshold value and the lower heart rate limit alarm threshold value called in the step 3; if the real-time monitored human heart rate is smaller than the lower heart rate alarm threshold or larger than the upper heart rate alarm threshold, alarming and executing the step 5; if the real-time monitored human body heart rate is larger than the lower heart rate alarm threshold and smaller than the upper heart rate alarm threshold, no alarm operation is performed;
and 5: the wearing end asks for help based on a remote communication protocol; and loading the current positioning information in the distress information based on the positioning module.
2. The method for monitoring abnormality of human body condition according to claim 1, wherein said step 2 includes the steps of:
step 2.1: acquiring three axial acceleration values of a triaxial acceleration sensor, and calculating a total acceleration value of the three axial acceleration values to obtain a sampling data curve of the total acceleration value;
step 2.2: sequentially performing first-order low-pass filtering processing and a plurality of times of moving average filtering processing on the sampled data curve of the combined acceleration value;
step 2.3: determining a step-counting peak in a sampling data curve of the combined acceleration value by adopting a peak value detection method, and then performing data analysis;
step 2.4: and judging whether the preset state condition is met or not so as to judge the current state of the human body.
3. The method for monitoring abnormality of human body condition according to claim 1, wherein the setting of said upper and lower heart rate thresholds includes the steps of:
step 1.1: in the initial state, respectively determining the upper limit and the lower limit of the normal heart rate of each combination according to different combinations of age, height, weight, sex and human body state, and storing the determined upper limit and the determined lower limit of the normal heart rate into a health database to be used as an upper alarm threshold and a lower alarm threshold of the heart rate;
step 1.2: setting a historical database for storing historical data, and setting historical data access rules in the intelligent terminal;
step 1.3: and the intelligent terminal calls historical data in the historical database based on the access rule and is used for updating the upper heart rate limit alarm threshold value and the lower heart rate limit alarm threshold value in the health database.
4. A method for monitoring abnormality of human body condition according to claim 3, wherein said updating step of upper and lower heart rate alarm thresholds in step 1.3 is as follows:
step 1.31: acquiring a heart rate upper limit alarm threshold value and a heart rate lower limit alarm threshold value corresponding to the current state of the human body in a health database based on the current state of the human body detected in the step 1;
step 1.32: comparing the lowest heart rate value of the historical data in the historical database with a heart rate lower limit alarm threshold, and if the lowest heart rate value is lower than the heart rate lower limit alarm threshold and the lowest heart rate value is marked as a normal heart rate in the intelligent terminal, taking the lowest heart rate value as a new heart rate lower limit alarm threshold; if the lowest heart rate value is higher than the lower heart rate limit alarm threshold value, taking the normal lowest heart rate as the lower heart rate limit alarm threshold value;
step 1.33: comparing the highest heart rate value with the highest normal heart rate value in the historical data, and if the highest heart rate value is lower than the highest normal heart rate value, taking the highest normal heart rate value as an upper alarm threshold of the heart rate; if the highest heart rate value is higher than the highest normal heart rate and the highest heart rate value is marked as the normal heart rate in the system, the highest heart rate value in the historical data is used as the upper alarm threshold value of the heart rate.
5. A method for monitoring abnormality of human body condition according to claim 4, characterized in that said labeling of normal heart rate in step 2.32 and step 1.33 is performed by:
when the monitored minimum heart rate value is lower than the normal minimum heart rate value, alarming, when the monitored personnel think that the alarm is invalid, declaring, if the declaration is successful, selecting the current alarm as an invalid alarm, and marking the minimum heart rate value corresponding to the alarm as the normal heart rate;
and when the monitored personnel think that the alarm is invalid and declare the successful current alarm as an invalid alarm, marking the highest heart rate value corresponding to the alarm as a normal heart rate.
6. The method for monitoring abnormality of human body condition according to claim 5, characterized by the steps of:
after the monitored person selects to declare an invalid alarm, the system is communicated with a medical system based on a wireless network module, and related heart examination information is retrieved according to the identity information of the monitored person; and declaring success after the checking information is determined to be normal.
7. The method of claim 4, wherein the human body state comprises a sleep state, a leisure state, and a sport state;
the sleep state is determined based on a triaxial acceleration sensor and a time module;
the leisure state and the sport state are determined based on a three-axis acceleration sensor.
8. The method for monitoring human body state abnormity according to claim 7, wherein the access rule in step 1.2 is that the intelligent terminal needs to access a historical database at intervals of one week to update the upper and lower heart rate alarm thresholds.
9. The method according to claim 8, wherein if the leisure state is monitored within 4 consecutive weeks, the actually monitored lowest heart rate value is greater than the lower limit of the normal heart rate set in the initial state in step 1.1 and less than the normal heart rate set in the initial state in step 1.1, and the normal heart rate set in the initial state is used as the lower limit of the heart rate alarm threshold.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111158870.8A CN113842129A (en) | 2021-09-30 | 2021-09-30 | Method for monitoring human body state abnormity |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111158870.8A CN113842129A (en) | 2021-09-30 | 2021-09-30 | Method for monitoring human body state abnormity |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113842129A true CN113842129A (en) | 2021-12-28 |
Family
ID=78977231
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111158870.8A Withdrawn CN113842129A (en) | 2021-09-30 | 2021-09-30 | Method for monitoring human body state abnormity |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113842129A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114403824A (en) * | 2022-03-16 | 2022-04-29 | 深圳市微克科技有限公司 | Intelligent wearing-based continuous heart rate index monitoring system and method |
| CN117084646A (en) * | 2023-07-02 | 2023-11-21 | 中国消防救援学院 | Training injury monitoring and early warning method and system based on electronic sensing |
| CN117653066A (en) * | 2023-11-02 | 2024-03-08 | 中国消防救援学院 | Training quality prediction method and system based on training injury analysis |
-
2021
- 2021-09-30 CN CN202111158870.8A patent/CN113842129A/en not_active Withdrawn
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114403824A (en) * | 2022-03-16 | 2022-04-29 | 深圳市微克科技有限公司 | Intelligent wearing-based continuous heart rate index monitoring system and method |
| CN117084646A (en) * | 2023-07-02 | 2023-11-21 | 中国消防救援学院 | Training injury monitoring and early warning method and system based on electronic sensing |
| CN117653066A (en) * | 2023-11-02 | 2024-03-08 | 中国消防救援学院 | Training quality prediction method and system based on training injury analysis |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113842129A (en) | Method for monitoring human body state abnormity | |
| US20160038061A1 (en) | Method for detecting falls and a fall detector | |
| US9433372B2 (en) | System method and device for providing an automated fitness test | |
| TWI528939B (en) | Method of evaluating the health and/or physical condition of a person and corresponding device and computer software package | |
| US20140324459A1 (en) | Automatic health monitoring alerts | |
| US10966616B2 (en) | Assessing system and method for characterizing resting heart rate of a subject | |
| CN106456024A (en) | Resting heart rate monitor system | |
| EP2747647A1 (en) | Monitoring system for monitoring a patient and detecting delirium of the patient | |
| US10765374B2 (en) | Methods and apparatus for adaptable presentation of sensor data | |
| US11922796B2 (en) | Predicting critical alarms | |
| CN109259743B (en) | Vital sign sensing system | |
| CN111714106B (en) | Motion state risk detection system and method | |
| JP6592633B1 (en) | Emergency call system | |
| CN116485236A (en) | Intelligent monitoring and early warning method and system for firefighter occupational training | |
| JP2021122580A (en) | Physical condition evaluation method and physical condition evaluation system | |
| JP2014092945A (en) | Physical condition determination system and physical condition determination method | |
| CN112294273A (en) | Health monitoring system and method for gymnasium bracelet | |
| JP2022019602A (en) | Biological information acquisition device, processing device, and computer program | |
| WO2011132117A1 (en) | Method and system for monitoring or assessing the cardiovascular system of a subject | |
| CN110801205A (en) | Human body data monitoring method based on Internet technology | |
| GB2512305A (en) | Apparatus and method for estimating energy expenditure | |
| JPH09173303A (en) | Health care system for golf | |
| CN116313094B (en) | Remote pet treatment detection system and method | |
| TWI790472B (en) | Arteriosclerosis Risk Assessment System | |
| CN116543524B (en) | Hook ladder firefighter training damage/sudden death risk early warning method and system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20211228 |