CN112690781A - Sedentary reminding and health monitoring system based on multiple sensors - Google Patents
Sedentary reminding and health monitoring system based on multiple sensors Download PDFInfo
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Abstract
The invention relates to a sedentary reminding and health monitoring system based on multiple sensors, and belongs to the technical field of information acquisition and health monitoring and control. The device comprises a control panel, a sensor module, a main control center module, an information preprocessing module, an APP module, a sitting posture correction module, a relay and a power supply module; the power supply module supplies power to the sensor module and the main control center module; the user sets up through control panel and reminds the content, carries out health monitoring to the user through multiple sensor, compresses and keeps in the data that the sensor module acquireed through information preprocessing module, and the key center module draws static, dynamic information and corrects and verify, gives information transmission and reminds and display module reminds, corrects for the position of sitting correction module to use and the health condition suggestion of user through high in the clouds database module storage. The system can enable the user to comprehensively monitor and correct the body condition of the user, and the obtained information is more accurate and more intelligent and personalized.
Description
Technical Field
The invention relates to a sedentary reminding and health monitoring system based on multiple sensors, and belongs to the technical field of information acquisition and health monitoring and control.
Background
With the transformation and upgrading of economic development of China, the occupation distribution in the society is continuously updated, work and study increasingly occupy the time of people, and correspondingly, the proportion of people who live on a desk to the population increases year by year. The stresses experienced by various parts of the body, such as the spine, back, hips and legs, are naturally different in different sitting postures. People are difficult to maintain a healthy sitting posture all the time when sitting for a long time, and if the people are in an unfavorable sitting posture for a long time, the probability of pathological changes caused by injuries of the eyes, the cervical vertebra, the lumbar vertebra and other parts of the human body is very high. The study of the sitting posture correction system has important significance for helping people keep healthy sitting postures in daily work and study, thereby developing good sitting posture habits, maintaining physical and mental health and preventing diseases.
Although people design various comfortable seats beneficial to health based on the sitting posture theory, whether the sitting posture is healthy is the key point of the problem, and if good habits are not developed from childhood, people can easily fall into bad sitting postures or do not leave the seats for a long time after being put into work and study. Therefore, the intelligent seat capable of autonomously reminding the user to correct the sitting posture is designed, the sitting posture of the user and the sitting posture maintaining time duration are detected in real time, the prompt is given to the user when needed, the current state is displayed, and the user is reminded to correct the bad sitting posture or leave the seat to move the muscle and joint of the body, so that the research is very necessary and meets the market demand. At present, two methods are mainly adopted in the real-time monitoring and research work of sitting postures at home and abroad: and recording the dynamic posture of the user by using a camera instrument, identifying the characteristics of the user from the video stream, and judging the sitting posture by using different algorithms, or obtaining human body information by using a sensor to judge the sitting posture.
Disclosure of Invention
The invention aims to provide a sedentary reminding and health monitoring system based on multiple sensors, aiming at the technical current situations that the existing health monitoring system cannot realize dynamic reminding, has missing detection and is low in monitoring precision.
The core idea of the invention is as follows: the power supply module supplies power to the sensor module and the main control center module through the relay; the user sets up through control panel and reminds the content, carries out health monitoring to the user through multiple sensor, compresses and temporarily store the data that the sensor module acquireed through information preprocessing module, draws static, dynamic information and corrects and verify through information post-processing module at the key center module, gives information transmission and reminds and display module reminds, corrects for the position of sitting correction module to use and the health condition suggestion of user through high in the clouds database module storage.
A sedentary reminding and health monitoring system based on multiple sensors comprises a control panel, a sensor module, a main control center module, an information preprocessing module, an APP module, a sitting posture correction module, a relay and a power module;
the APP module comprises a cloud database module and a reminding and displaying module;
wherein, the control panel comprises an information input module;
the sensor module comprises an infrared sensor, a mixed distributed array film pressure sensor and a radio distance and direction measuring sensor; the information preprocessing module comprises an information compression unit and a storage unit;
the main control center module comprises a dynamic information extraction processing module, a static information extraction processing module and an information post-processing module;
the dynamic information extraction processing module comprises a blood pressure measuring and monitoring unit, a heart rate measuring and monitoring unit, a body temperature measuring and monitoring unit and a pulse measuring unit; the information post-processing module comprises an information verification unit and a correction unit;
the static information extraction processing module comprises a sedentary analysis module and a posture analysis module;
the sedentary analysis module comprises a continuous timing unit and an interruption analysis unit;
the posture analysis module comprises a sitting posture identification and analysis unit and a body forward-leaning analysis unit;
the cloud database module comprises a basic information module, a difference information module and an exchange information module;
the reminding and displaying module comprises a body temperature abnormity reminding sub-module, an excessive exercise reminding sub-module, an exercise deficiency reminder module, a blood pressure abnormity reminding sub-module, a heart rate abnormity reminding sub-module, a diet advising sub-module and a sedentary electric shock reminding sub-module;
the sitting posture correction module corrects the sitting posture of the user through vibration;
the main control center module is connected with the APP module and a user control terminal comprising a control panel in a local area network/metropolitan area network/Bluetooth/radio station/autonomous network mode; the user control terminal comprises an information input module and a reminding and displaying module in the App module;
the connection relationship of each module and unit in the health monitoring system is as follows:
the main control center module is respectively connected with the sensor module, the relay, the information preprocessing module, the sitting posture correction module and the App module; the control panel is connected with the information and preprocessing module, and the static information extraction processing module is connected with the sitting posture correction module; the information preprocessing and storing unit is connected with the sensor module; the main control center module is connected with the APP module; the main control center module is connected with the user control terminal; the static information extraction processing module in the main control center module is connected with the sitting posture correction module; the static information extraction processing module and the dynamic information extraction processing module in the main control center module are connected with the information verification unit, and the blood pressure measurement and monitoring unit, the heart rate measurement and monitoring unit, the body temperature measurement and monitoring unit and the pulse measurement unit in the dynamic information extraction processing module are connected with the correction unit.
The control panel receives a body data range and a reminding mode input by a user so as to more accurately remind the user when the user uses the body data range and the reminding mode; the sensor module measures various body data of a user through various sensors; the information preprocessing module preprocesses data transmitted by the sensor and transmits the data to the main control center module; the main control center module processes the transmitted data to obtain the analysis of the corresponding physical condition; the dynamic information extraction processing module analyzes and compares the dynamic information of blood pressure, heart rate, body temperature and pulse, and performs mutual correction through the correction unit; the static information extraction processing module analyzes whether the sitting is sedentary or not and whether the posture is correct or not; after receiving the non-ideal analysis result, the information verification module confirms whether the analysis result is correct again, and after determining that the analysis result is correct, the information verification module transmits the result to the APP module; the APP module reminds the user through the APP, long-term storage and monitoring are conducted on the analysis result so as to achieve the purpose of long-term comprehensive analysis, and articles and videos of health science are recommended to the user through the communication information module.
Advantageous effects
Compared with the existing health monitoring system, the sedentary reminding and health monitoring system based on the multiple sensors provided by the invention has the following beneficial effects:
1. the system applies sensors such as hybrid distributed sensors, infrared sensors, radio direction finding sensors and the like and preprocessing, so that the health monitoring is more accurate, convenient and fast, and the functions are more complete;
2. the system introduces a correction unit and an information verification unit, mutual correction between conclusions is carried out on the obtained conclusions, and secondary detection is carried out on the non-ideal conclusion, so that the user can comprehensively monitor and correct the self body condition by means of the measures, and the obtained information is more accurate;
3. the system is connected with the mobile phone through the APP module, so that a better reminding effect can be achieved, and the cloud database module is introduced to continuously analyze the user condition for a long time;
4. the system enables a user to input the body condition threshold value and the reminding mode by himself through the control panel, so that the system is more intelligent and personalized.
Drawings
FIG. 1 is a block diagram of a multi-sensor based sedentary reminder and health monitoring system of the present invention;
FIG. 2 is a schematic diagram of a basic version of a system for sedentary reminder only in accordance with an embodiment of the present invention;
FIG. 3 is a schematic diagram of pressures collected by distributed sensors when a multi-sensor based sedentary reminder and health monitoring system of the present invention is implemented;
FIG. 4 is a flow chart of the operation of a multi-sensor based sedentary reminder and health monitoring system of the present invention for sedentary reminding;
FIG. 5 is a flowchart of the operation of the posture analysis module of the multi-sensor based sedentary reminder and health monitoring system of the present invention;
FIG. 6 is a flowchart of the dynamic information extraction processing module in the multi-sensor based sedentary reminder and health monitoring system of the present invention;
FIG. 7 is a flowchart illustrating the operation of the APP module in the multi-sensor based sedentary reminder and health monitoring system according to the present invention.
Detailed Description
The present invention will be described in detail with reference to the drawings and examples, but the invention is not limited to the embodiments.
Example 1
This example illustrates the configuration of the system of the present invention to a college student to monitor the sitting posture and health condition of the student. When the system is implemented, as shown in fig. 1 and 2, wherein fig. 1 is a luxury version of the module configuration, which can monitor various health conditions; fig. 2 is a basic version, mainly for sitting posture monitoring and correction.
As can be seen from fig. 1, the system includes a sensor module, a power supply module, a main control center module, an information preprocessing module, an App module, and a control panel. In specific implementation, the information input module and the reminding and displaying module in the App module are both positioned at the user control terminal. The distributed array film pressure sensor in the sensor module is laid on the seat to obtain the pressure distribution applied on the seat by the body of the student, and then the body shape data is obtained through radio distance measurement and direction finding, and the sensor module also comprises an acquisition circuit consisting of a decoupling circuit, a multi-path analog switch circuit and an interface circuit; the information compression unit of the information preprocessing unit compresses acquired information, data are stored through the storage unit, the storage is achieved through an SD card in serial communication with a main control center module (STM32 single chip microcomputer), data are sent to the main control center module through the information transmission module (corresponding to the Bluetooth module of the basic version in the figure 2), sedentary analysis and posture analysis are achieved in the static information extraction processing module, and during specific implementation, a classifier is built for recognition and prompting after characteristics are extracted. The dynamic information and the static information extracted by the multiple sensors are comprehensively processed by the information post-processing module and output to the reminding and displaying module to carry out all-around health reminding on the user.
When the health monitoring system is implemented, in consideration of the health monitoring needs of students and the cost reduction needs, most students can bear the cost of purchasing the monitoring system, and the sensor module in the monitoring system of the basic version is shown in fig. 2, which only includes distributed sensors, and specifically includes: array sensor, pressure sensor 1 and pressure sensor 2. The pressure sensor 1 and the pressure sensor 2 are positioned beside the mandible and at two positions of the wrist, and the heart rate and the pulse are obtained by measuring the period of the pressure values at the two positions. The array sensors are distributed in the cushion and are uniformly or non-uniformly distributed in specific implementation; the uniformly distributed array sensor adopts a 52 x 44 matrix flexible resistance sensor or an RX-M3232L large-format distributed flexible film pressure sensor. The array sensors which are not uniformly distributed are designed at the part with larger pressure, and low-density sensors are distributed; and arranging a high-density sensor at a part with smaller pressure to meet the requirement of fine measurement. According to the existing results, the density range of the low-density sensor is 1/10 cm2To 5 pieces/10 cm2(ii) a The density of the high-density sensor is greater than 10/10cm2(ii) a Specifically, as shown in FIG. 3, a high density sensor is arranged in the dotted line frame, and the density is 10/10cm2The solid line frame is a low-density sensor with the density less than 10/10cm2. Sedentary reminderThe flow of (2) is shown in FIG. 4.
When the system is implemented, the sensor module comprises a distributed array film pressure sensor, a decoupling circuit, a multi-path analog switch circuit and an interface circuit to form an acquisition circuit; the distributed sensor is laid on a seat to acquire pressure distribution and body shape data applied by the body of a student on the seat and all parts of the body, an information compression unit of an information preprocessing unit compresses acquired information, the data is stored through a storage unit, the storage is realized through an SD card in serial communication with a main control center module (STM32 singlechip), the data is sent to the main control center module through a Bluetooth module, sedentary analysis and body shape analysis are realized in a static information extraction processing module, and in the specific implementation, the sedentary analysis module extracts characteristics to a body shape analysis module; the posture analysis module constructs a classifier based on the characteristics output by the sedentary analysis, gives sitting posture identification and forward body inclination judgment, and outputs the sitting posture identification and forward body inclination judgment to the information post-processing module for correction and verification. The dynamic information and the static information extracted by the distributed sensor are comprehensively processed by the information post-processing module and output to the reminding and displaying module to carry out all-around health reminding on the user.
The operation process of the health monitoring system comprises the following steps:
step A: the student operates the control panel and sets various information through the information input module;
wherein, each kind of information includes: plantar pressure range, heart rate range, blood pressure range, sedentary time limit and reminding mode; all above-mentioned all kinds of information have the default of setting for, and the student carries out individualized setting according to self condition, if not revise the initial value, then the default is used to the system, and the default is:
the pressure range is 2.96 plus or minus 0.66kg/cm2；
The heart rate range is 60-100 times/min;
the blood pressure range 90mmHg < systolic pressure <140mmHg, 60mmHg < diastolic pressure <90 mmHg;
the sedentary time limit is 45min, and the reminding mode is electric shock reminding;
and B: the student wears the mixed distributed array film pressure sensor at all positions of the body and acquires data through the sensor;
data measured by the distributed array sensor is filtered from useless blank and obvious error burr information through a compression unit in the information preprocessing module, useful information is compressed and transferred to a temporary storage unit for temporary storage, and then the useful information is transmitted to a body state analysis module of a static information extraction processing module in the main control center module for analysis;
wherein, the preprocessing comprises denoising and smoothing;
and B.2, after data measured by the radio ranging lateral sensor passes through the information preprocessing module, filtering useless blank and obvious error burr information by the information compression unit, compressing and transferring useful information to the temporary storage unit for temporary storage, and transmitting the useful information to the body state analysis module of the static information extraction processing module in the main control center module for analyzing the body state, wherein the specific figure is shown in figure 5. Extracting, wherein pressure ratios at different angles are referred on the basis of the pressure borne by the naturally standing spine; pressure ratios are given at different angles: sit at the front bend-1.66; straightening the back and sitting-1.1; lazy sitting of the whole body-0.54; lean against the chair back and lean backwards to 0.34.
C, the master control center module extracts static information, and specifically comprises the following steps: the static information extraction processing module extracts static information, namely extracts characteristics of sedentariness, posture and sitting posture based on the collected sensor information, judges and gives the type of the static information, and specifically comprises the following steps:
c.1, a sitting posture identification unit in the posture analysis module judges whether the left side measurement data of the distributed array sensor is obviously larger than the right side measurement data or not, and if yes, the student sitting posture is judged to have the problem of left inclination;
significantly greater than that defined as more than 60 out of 100 results of consecutive measurements;
c.2, judging that the distance between the upper back and the system backrest is obviously greater than the distance between the lower back and the system backrest by a sitting posture identification unit in the posture analysis module, and judging that the student sitting posture is forward leaning;
step D, after the sitting posture analysis result is confirmed to be correct by the information verification unit of the information post-processing module, the sitting posture analysis result is transmitted to the APP module and the sitting posture correction module;
step E: the main control center module transmits the analysis result confirmed to be correct to the APP module and the sitting posture correction module, the APP module carries out long-term storage, recording and analysis on the analysis result through the cloud database module, and the reminding and display module reminds the students;
meanwhile, if the student sitting posture is incorrect, the sitting posture correction module reminds the student that the sitting posture is incorrect in a vibration mode;
the reminding and displaying module of the APP module can remind the student that the sitting posture of the student leans forward and inclines left through the mobile phone, the cloud database module of the APP module stores results, and long-term analysis results and health suggestions can be pushed to the student if the problem exists when the student uses the system for a plurality of times continuously;
the sitting posture correction module continuously reminds the students of adjusting sitting postures as soon as possible in a vibration mode;
the continuous reminding setting comprises an idle mode, a normal mode and an emergency mode when being implemented,
the Idle mode is suitable for reminding once in 6-10 minutes under the condition of low electric quantity;
in the normal mode, reminding once in 2-5 minutes;
the emergency mode is outdoor, and the sunlight makes the electricity sufficient; reminding once every 1 minute.
Example 2
This example illustrates the configuration of the system of the present invention to "office workers" to monitor the overall health of such people. When the system is implemented specifically, as shown in fig. 1, the system mainly includes a sensor module, a power supply module, a main control center module, an information preprocessing module, an App module, and a control panel.
When the system is implemented specifically, a distributed array film pressure sensor in a sensor module is laid on a seat to obtain the pressure distribution applied by the body of an office worker on the seat, and then body shape data is obtained through radio ranging and direction finding; the information compression unit of the information preprocessing unit compresses acquired information, data are stored through the storage unit, particularly, the data are stored through an SD card in serial communication with a main control center module (STM32 single chip microcomputer), data are sent to the main control center module through the Bluetooth module, sedentary analysis and posture analysis are achieved in the static information extraction processing module, and during specific implementation, a classifier is built for recognition and prompting after characteristics are extracted. The dynamic information and the static information extracted by the multiple sensors are comprehensively processed by the information post-processing module and output to the reminding and displaying module to carry out all-around health reminding on the user.
During the specific implementation of health monitoring system, consider that working clan's work and rest is irregular and is liable to various diseases but want to avoid the demand of frequently going to the hospital, can all-roundly carry out health monitoring to give the warning and the suggestion in the aspect of diet and motion, the cost problem is not considered excessively to this embodiment, therefore during specific implementation, sensor module all possesses, including infrared sensor, mixed distributed's array film pressure sensor, radio range finding direction finding sensor. The main concern of the present embodiment is: accurately giving health conditions, improvement suggestions and strong reminders; the method is embodied in that accurate measurement of different units of a sensor module and mutual correction of measurement data are used to realize accurate dynamic and static monitoring results, and belongs to a high-configuration version of the health monitoring system based on multiple sensors.
The operation process of the health monitoring system comprises the following steps:
step A: the office worker operates the control panel and sets various information through the information input module;
wherein, each kind of information includes: plantar pressure range, heart rate range, blood pressure range, sedentary time limit and reminding mode; all the information has default values, and the office worker can perform personalized setting according to the condition of the office worker;
if the "office worker" does not modify the initial value, default values set by the system are used, specifically:
range of plantar pressureIs 2.96 +/-0.66 kg/cm2；
The heart rate range is 60-100 times/min;
the blood pressure range 90mmHg < systolic pressure <140mmHg, 60mmHg < diastolic pressure <90 mmHg;
the sedentary time limit is 45min, and the reminding mode is electric shock reminding;
and B: the 'office worker' wears the hybrid distributed array film pressure sensor at each part of the body and collects data through the sensor, and the method specifically comprises the following steps:
b.1, a distributed piezoelectric sensor at the wrist adopts a PL101 flexible micro-pressure sensor, and in the specific implementation, the pressure sensor is used for acquiring a pulse signal of a radial artery at the wrist of a human body, a voltage signal suitable for A/D conversion is obtained through a signal conditioning circuit, useless blank and obvious error burr information is filtered out through an information compression unit, useful information is compressed and transferred to a temporary storage unit for temporary use, and then the useful information is transmitted to a dynamic information extraction processing module in a main control center module for analysis;
wherein, the preprocessing comprises denoising and smoothing;
b.2, an infrared temperature sensor positioned on the chair back is adopted to monitor the temperature of the human body by adopting a CWG-32-600H type infrared temperature sensor in specific implementation; the measurement information is filtered by an information compression unit to remove useless blank and obvious error burr information, and the useful information is compressed and transferred to a temporary storage unit for temporary use and then transmitted to a dynamic information extraction processing module in a main control center module for analysis;
b.3 static monitoring equipment is the same as described in example 1;
and C: the master control center module extracts static information, specifically: the static information extraction processing module extracts static information, namely extracts characteristics of sedentariness, posture and sitting posture based on the collected sensor information, judges and gives the type of the static information, and specifically comprises the following steps:
c.1, a sitting posture identification unit in the posture analysis module judges whether the left side measurement data of the distributed array sensor is obviously larger than the right side measurement data or not, and if not, the 'office worker' sitting posture is judged not to have the problem of left-right inclination;
significantly greater than that defined as more than 60 out of 100 results of consecutive measurements;
c.2, judging that the distance between the upper back and the system backrest is obviously greater than the distance between the lower back and the system backrest by a sitting posture identification unit in the posture analysis module, and judging that the sitting posture of the office worker is forward;
c.3 the continuous timing unit in the sedentariness analysis module judges whether the seating time of the office worker exceeds the set range, if so, the office worker is judged to have the condition of no movement during sedentariness;
step D: the master control center module extracts dynamic information, specifically: the dynamic information extraction processing module extracts dynamic information, namely extracts pulse, blood pressure, heart rate and body temperature information based on the acquired sensor information, judges and gives dynamic information categories, and specifically comprises the following steps:
d.1, judging whether the data result measured by the pulse sensor exceeds a normal range set by the pulse measuring and monitoring unit, and if not, judging that the pulse condition of the office worker is normal;
d.2, the blood pressure measuring and monitoring unit judges whether the data result measured by the blood pressure sensor exceeds a normal range set by the blood pressure, if not, the blood pressure of the office worker is judged to be normal;
d.3, the heart rate measuring and monitoring unit judges whether the data result measured by the heart rate sensor exceeds a normal range set by the heart rate, if so, the heart rate of the office worker is judged to be abnormal;
d.4, the body temperature measuring and monitoring unit judges whether the data result measured by the heart rate sensor exceeds the normal range of the body temperature, if so, the body temperature condition of the office worker is judged to be abnormal;
step E, after the sitting posture analysis result and the sedentary analysis result are confirmed to be correct by the information verification unit of the information post-processing module, the sitting posture analysis result and the sedentary analysis result are transmitted to the APP module and the sitting posture correction module;
blood pressure, rhythm of the heart, pulse analysis result are rectified through information post processing module, and the particular case is:
the correction unit of the information post-processing module mutually corrects three kinds of information, namely blood pressure, heart rate and pulse, which are mutually related, if the heart rate information is not matched with the pulse information, the measurement time is prolonged, a next group of measurement results are waited, and finally, the heart rate situation is found to be measured wrongly, and the heart rate situation of the office worker is normal;
the information verification unit prolongs the measurement and recording time when obtaining abnormal and abnormal results, corrects the results if only one measurement error is found, and confirms that the results are correct if the results are still the results for a long time, specifically:
when the information verification unit of the information post-processing module finds that the temperature condition of the office worker is abnormal, the monitoring time is prolonged, and finally, if the temperature of the office worker is normal in the prolonged time period, the temperature of the office worker is judged to be normal again;
step F: the main control center module transmits the analysis result confirmed to be correct to the APP module and the sitting posture correction module, the APP module carries out long-term storage, recording and analysis on the analysis result through the cloud database module, and the reminding and display module reminds the office worker;
the reminding and displaying module of the APP module can remind the office worker of forward leaning, long-time sitting and normal blood pressure, heart rate and pulse conditions of the sitting posture through a mobile phone, the cloud database module of the APP module stores results, and if the office worker finds that the forward leaning and long-time sitting problems exist when the office worker continuously uses the system for several times, long-term analysis results and exercise suggestions can be pushed to the office worker;
the stored data show that the user has multiple sedentariness continuously for one month, and some five-minute exercise courses are pushed to introduce some common exercise postures capable of relieving lumbar pressure.
Example 3
This example illustrates the configuration of the system of the present invention to an elderly hypertensive patient, and mainly monitors the dynamic health status of the elderly hypertensive patient. When the system is implemented specifically, as shown in fig. 3, the system mainly includes a sensor module, a power supply module, a main control center module, an information preprocessing module, an App module, and a control panel.
When the system is implemented specifically, the distributed array film pressure sensor in the sensor module is worn on the wrist of an elderly patient to acquire the pulse, blood pressure and other conditions of the elderly patient, and then body temperature information is acquired through the infrared sensor, wherein the sensor module comprises an acquisition circuit consisting of a decoupling circuit, a multi-path analog switch circuit and an interface circuit; the information compression unit of the information preprocessing unit compresses acquired information, data are stored through the storage unit, storage is achieved through an SD card in serial communication with a main control center module (STM32 single chip microcomputer), data are sent to the main control center module through the Bluetooth module, analysis of blood pressure, heart rate, pulse and body temperature is achieved in the dynamic information extraction processing module, and during specific implementation, a classifier is built for recognition and prompting after characteristics are extracted. The dynamic information and the static information extracted by the multiple sensors are comprehensively processed by the information post-processing module and output to the reminding and displaying module to carry out all-around health reminding on the user.
When the health monitoring system is implemented, the sensor module in the system only comprises the distributed array sensor in consideration of the most important requirement of the health monitoring of the old people.
The operation process of the health monitoring system specifically comprises the following steps:
step A: family members assist elderly hypertensive patients to operate the control panel, and various kinds of information are set through the information input module;
wherein, each kind of information includes: heart rate range, blood pressure range, and pulse range;
the monitoring range of the elderly hypertensive patients needs to be adjusted
The heart rate range has systolic pressure of 140 mmHg-155 mmHg and diastolic pressure of 90 mmHg-110 mmHg;
the heart rate range is 80-110 times/minute;
and B: old patient wears mixed distributed array film pressure sensor everywhere at the health and passes through sensor data collection, specifically is:
b.1, after blood pressure, pulse and other data measured by the distributed array sensor pass through an information preprocessing module, useless blank and obvious error burr information is filtered out through an information compression unit, useful information is compressed and transferred to a temporary storage unit for temporary use, and then the useful information is transmitted to a dynamic information extraction processing module in a main control center module for analysis;
b.2, after body temperature data measured by the infrared sensor passes through the information preprocessing module, useless blank and obvious error burr information is filtered by the information compression unit, and useful information is compressed and transferred to the temporary storage unit for temporary storage and is transmitted to the dynamic information extraction processing module in the main control center module for analysis; as shown in particular in fig. 6.
C, the master control center module extracts dynamic information, and specifically comprises the following steps: the dynamic information extraction processing module extracts dynamic information, namely extracts pulse, blood pressure and heart rate information based on the collected sensor information, judges and gives dynamic information categories, and specifically comprises the following steps:
the blood pressure, pulse and heart rate measuring and monitoring unit in the dynamic information extraction processing module analyzes and finds that the pulse of the old is higher than the maximum value (110 times/minute) of the set pulse range, the blood pressure value is higher than the maximum value (systolic pressure 155mmHg, diastolic pressure 110mmHg) of the set blood pressure range, and the old is judged to be at risk of the onset of the hypertension symptoms at present;
d, correcting and verifying the analyzed result by an information post-processing module, wherein the specific conditions are as follows:
if the pulse and the blood pressure of the elderly patient exceed the set range, the correction unit judges that the measurement is not matched with the information, the measurement is correct, and the measurement result is immediately transmitted to the APP module;
step E: the APP module is used for storing, recording and analyzing the analysis result for a long time through the cloud database module and reminding the elderly hypertension patients through the reminding and displaying module;
the reminding and display module of APP module can remind this old patient's family members at present that the old person has the hypertension symptom through the cell-phone to the high in the clouds database module of APP module is preserved the result, analyzes the hypertension symptom frequency of appearance scheduling problem of old person, gives advice of seeking medical advice, diet suggestion etc. and the processing flow is specifically as shown in FIG. 7.
While the foregoing is directed to the preferred embodiment of the present invention, it is not intended that the invention be limited to the embodiment and the drawings disclosed herein. Equivalents and modifications may be made without departing from the spirit of the disclosure, which is to be considered as within the scope of the invention.
Claims (9)
1. The utility model provides a sedentary warning and health monitoring system based on multisensor which characterized in that: the device comprises a control panel, a sensor module, a main control center module, an information preprocessing module, an APP module, a sitting posture correction module, a relay and a power supply module;
the APP module comprises a cloud database module and a reminding and displaying module;
wherein, the control panel comprises an information input module;
the sensor module comprises an infrared sensor, a mixed distributed array film pressure sensor and a radio distance and direction measuring sensor; the information preprocessing module comprises an information compression unit and a storage unit;
the main control center module comprises a dynamic information extraction processing module, a static information extraction processing module and an information post-processing module;
the dynamic information extraction processing module comprises a blood pressure measuring and monitoring unit, a heart rate measuring and monitoring unit, a body temperature measuring and monitoring unit and a pulse measuring unit; the information post-processing module comprises an information verification unit and a correction unit;
the static information extraction processing module comprises a sedentary analysis module and a posture analysis module;
the sedentary analysis module comprises a continuous timing unit and an interruption analysis unit;
the posture analysis module comprises a sitting posture identification and analysis unit and a body forward-leaning analysis unit;
the cloud database module comprises a basic information module, a difference information module and an exchange information module;
the reminding and displaying module comprises a body temperature abnormity reminding sub-module, an excessive exercise reminding sub-module, an exercise deficiency reminder module, a blood pressure abnormity reminding sub-module, a heart rate abnormity reminding sub-module, a diet advising sub-module and a sedentary electric shock reminding sub-module;
the connection relationship of each module and unit in the health monitoring system is as follows:
the main control center module is respectively connected with the sensor module, the relay, the information preprocessing module, the sitting posture correction module and the App module; the control panel is connected with the information and preprocessing module, and the static information extraction processing module is connected with the sitting posture correction module; the information preprocessing and storing unit is connected with the sensor module; the main control center module is connected with the APP module; the main control center module is connected with the user control terminal; the static information extraction processing module in the main control center module is connected with the sitting posture correction module; the static information extraction processing module and the dynamic information extraction processing module in the main control center module are connected with the information verification unit, and the blood pressure measurement and monitoring unit, the heart rate measurement and monitoring unit, the body temperature measurement and monitoring unit and the pulse measurement unit in the dynamic information extraction processing module are connected with the correction unit.
2. The system of claim 1, wherein the system comprises: the sitting posture correction module corrects the sitting posture of the user through vibration.
3. The system of claim 2, wherein the system further comprises: the main control center module is connected with the APP module and the user control terminal comprising the control panel in a local area network/metropolitan area network/Bluetooth/radio station/autonomous network mode.
4. The system of claim 3, wherein the system further comprises: the user control terminal comprises an information input module and a reminding and displaying module in the App module.
5. The system of claim 4, wherein the system further comprises: the control panel receives a body data range and a reminding mode input by a user so as to more accurately remind the user when the user uses the body data range and the reminding mode; the sensor module measures various body data of the user through various kinds of sensors.
6. The system of claim 5, wherein the system further comprises: the information preprocessing module preprocesses data transmitted by the sensor and transmits the data to the main control center module; and the main control center module processes the transmitted data to obtain the analysis of the corresponding physical condition.
7. The system of claim 6, wherein the system further comprises: the dynamic information extraction processing module analyzes and compares the dynamic information of blood pressure, heart rate, body temperature and pulse, and performs mutual correction through the correction unit; the static information extraction processing module analyzes whether the sitting is sedentary or not and whether the posture is correct or not.
8. The system of claim 7, wherein the system further comprises: the function of the information verification module is to confirm whether the analysis result is correct again after receiving the non-ideal analysis result, and to transmit the result to the APP module after determining no error.
9. The system of claim 8, wherein the system further comprises: the APP module reminds the user through the APP, long-term storage and monitoring are conducted on the analysis result so as to achieve the purpose of long-term comprehensive analysis, and articles and videos of health science are recommended to the user through the communication information module.
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