CN113017581A - Plastic button with health condition monitoring function - Google Patents
Plastic button with health condition monitoring function Download PDFInfo
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- CN113017581A CN113017581A CN202110250693.XA CN202110250693A CN113017581A CN 113017581 A CN113017581 A CN 113017581A CN 202110250693 A CN202110250693 A CN 202110250693A CN 113017581 A CN113017581 A CN 113017581A
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- 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
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
- A61B5/02055—Simultaneously evaluating both cardiovascular condition and temperature
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- A—HUMAN NECESSITIES
- A44—HABERDASHERY; JEWELLERY
- A44B—BUTTONS, PINS, BUCKLES, SLIDE FASTENERS, OR THE LIKE
- A44B1/00—Buttons
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- 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
- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
- A61B5/0816—Measuring devices for examining respiratory frequency
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- 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
- A61B5/1118—Determining activity level
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
- A61B5/4809—Sleep detection, i.e. determining whether a subject is asleep or not
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
- A61B5/4812—Detecting sleep stages or cycles
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
- A61B5/6804—Garments; Clothes
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- 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
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
Abstract
The invention discloses a plastic button with a health condition monitoring function, which comprises a data acquisition unit, a data monitoring unit, a data analysis unit, a health early warning unit, a data storage unit, a communication unit and a mobile phone terminal, wherein the data analysis unit and the health early warning unit are arranged to detect and analyze the air environment, so that data reference and reminding are provided for the outgoing activities of users, and after the air environment is analyzed, an intelligent button provides targeted prompt for the old users, so that the life quality of the old users is improved, and the social problems such as missing of the old users are prevented; through setting up data monitoring unit and healthy early warning unit, carry out analysis and early warning to user's vital sign and health activity state and sleep state and remind, improved old person and family member to the understanding of its health condition, improved old person's health protection and sleep quality.
Description
Technical Field
The invention relates to a plastic button, in particular to a plastic button with a health condition monitoring function.
Background
The button is a fastener used for connecting two lappets on the clothes. The original function is used for connecting the front fly of the clothes, and the front fly is gradually developed to have more artistic and decorative properties, namely individuation, besides the original function. The good button can enable the clothes to be more perfect, plays a role in drawing dragon and pointing eyes and plays a certain role in beauty.
With the increasing production technology level, various electronic devices are implanted into plastic buttons to be possible, the existing buttons basically only play a role in fastening clothes and beautifying, but do not have a function of tracking and monitoring the human body state, the function is particularly important with the increasing aging of the population, and therefore, the plastic buttons with the health condition monitoring function are provided.
Disclosure of Invention
The invention aims to provide a plastic button with a health condition monitoring function.
The technical problem solved by the invention is as follows:
(1) how to detect and analyze the air environment by arranging a data analysis unit and a health early warning unit so as to provide data reference and reminding for the outgoing activities of users and solve the problem that the environment is not analyzed and the users are pertinently prompted in the prior art by intelligent bracelets and intelligent buttons;
(2) how to analyze and prewarn and remind the vital sign and the physical activity state and the sleep state of a user by setting a data monitoring unit and a health prewarning unit solves the problem that the prior art is difficult to carry out targeted caution suggestion on the real-time physical state, the motion state and the sleep state of the elderly.
The purpose of the invention can be realized by the following technical scheme: a plastic button with a health condition monitoring function comprises a data acquisition unit, a data monitoring unit, a data analysis unit, a health early warning unit, a data storage unit, a communication unit and a mobile phone terminal;
the data acquisition unit is used for acquiring environmental data and position data and sending the environmental data and the position data to the data analysis unit, the environmental data comprises environmental temperature data, environmental humidity data and dust concentration data, the position data represents position coordinates of the plastic button body on a regional map, the data acquisition unit is also used for acquiring user data and transmitting the user data to the data storage unit for storage, the user data comprises user gender, user age, user residence coordinates and family member contact modes, and the data storage unit is prestored with map data;
the data analysis unit is used for analyzing the environment and the position of the user and transmitting the obtained environment comfort level index, dust concentration index and abnormal activity signal to the health early warning unit;
the data monitoring unit is used for monitoring the activity state of vital signs of a user in real time, obtaining a body temperature abnormal signal, an activity reminding signal, a movement time adjusting signal and a respiration heartbeat abnormal signal and sending the body temperature abnormal signal, the activity reminding signal, the movement time adjusting signal and the respiration heartbeat abnormal signal to the health early warning unit, the data monitoring unit is further used for monitoring the sleep state of the user in real time and sending an obtained sleep index to the health early warning unit, and the health early warning unit identifies and processes the received signals and data.
The invention has further technical improvements that: the specific steps of the data analysis unit for analyzing the environment and the position are as follows:
step S21: acquiring environmental data, marking the environmental temperature data in the environmental data as HW, marking the environmental humidity data as HS, marking the dust concentration data as FC, acquiring position data and marking coordinates of the position data as (a, b);
step S22: substituting the environmental temperature data and the environmental humidity data into a calculation formula
Obtaining an environmental comfort index SZ, wherein alpha represents an environmental temperature influence factor, beta represents an environmental humidity influence factor, and both alpha and beta are preset values;
step S23: a dust concentration standard critical value is preset in the data analysis unit, difference calculation is carried out on the dust concentration standard critical value and the dust concentration data to obtain concentration difference data, and ratio calculation is carried out on the concentration difference data and the dust concentration standard critical value to obtain a dust concentration index;
step S24: the method comprises the steps of extracting map data from a data storage unit, marking a corresponding position in the map data according to the position data, extracting user data from the data storage unit, marking a corresponding position in the map data according to coordinates of a place where a user resides in the map data, connecting two marked positions in the map data by a line, calculating the actual distance between the two points according to a scale, presetting an early warning distance in a data analysis unit, judging that the activity range of the user is normal when the actual distance is smaller than the early warning distance, carrying out no processing, starting a timer when the actual distance is larger than or equal to the early warning distance, generating timing data, judging that the activity range of the user is abnormal when the timing data exceeds a preset time limit value, and generating an abnormal activity signal.
The invention has further technical improvements that: the data monitoring unit carries out real-time monitoring on the activity state of the user and comprises the following specific steps:
step S31: the method comprises the steps that temperature data of the body surface of a user are obtained through a temperature sensor, the heartbeat rate of the user is obtained through a sensing electrode, the respiratory frequency of the user is obtained through measuring the chest fluctuation times of the user, and sitting time data of the user in a sitting posture state and movement time data of the user in movement are obtained through a three-dimensional movement sensor;
step S32: a normal temperature threshold value is preset in the data monitoring unit, the temperature data of the body surface of the user is compared with the normal temperature threshold value, when the temperature data of the body surface of the user is within the normal temperature threshold value, the body temperature of the user is judged to be normal, no processing is performed, and the step S34 is entered; when the temperature data of the body surface of the user exceeds the normal temperature threshold value, judging that the body temperature of the user is abnormal, and entering step S33;
step S33: the method comprises the following steps of obtaining height data and moving distance data of a plastic button body through a three-dimensional motion sensor, establishing a virtual plane rectangular coordinate system, taking the moving distance data as a horizontal coordinate, taking the height data of the plastic button body as a vertical coordinate, marking points represented by each group of horizontal coordinates and vertical coordinates in the virtual plane rectangular coordinate system, then connecting the points by a smooth curve, obtaining values of all wave crests and wave troughs in the curve, solving the average value of difference values between the wave crests and the wave troughs, marking the average value as a peak-to-valley difference average value, simultaneously calculating the distance between the wave crests and the wave troughs, calculating the distance between the wave troughs and the wave troughs, solving a total average value, marking the total average value as a distance frequency average value, and according to a calculation formula: the motion intensity is a peak-to-valley difference mean value + b distance frequency mean value, wherein a and b respectively represent motion influence factors in the vertical direction and the horizontal direction, the difference value between the user body surface temperature data and the human body standard temperature is calculated, whether the motion intensity is matched with the temperature difference value or not is judged according to a motion intensity-temperature rise comparison table, if the matching is successful, no processing is carried out, the matching is failed, and a body temperature abnormal signal is generated;
step S34: a sedentary reminding time and a continuous activity time threshold are preset in the data monitoring unit, when the sedentary time data of the user in the sitting posture keeping state is less than the sedentary reminding time, no processing is carried out, and when the sedentary time data of the user in the sitting posture keeping state is more than or equal to the sedentary reminding time, the user is judged to be inactive for a long time, and an activity reminding signal is generated; when the exercise time data of the user keeping exercise is in the continuous activity time threshold value, judging that the activity time is proper and not processing any treatment, and when the exercise time data of the user keeping exercise is not in the continuous activity time threshold value, judging that the activity time is improper and generating an exercise time adjusting signal;
step S35: the method comprises the steps that a respiratory frequency normal threshold and a heartbeat rate normal threshold are preset in a data monitoring unit, the respiratory frequency and the heartbeat rate of a user monitored every five minutes are averaged to obtain a respiratory frequency mean value and a heartbeat rate mean value respectively, when the respiratory frequency mean value and the heartbeat rate mean value are respectively in the respiratory frequency normal threshold and the heartbeat rate normal threshold, the working state of the heart and lung organs of the user is judged to be stable, no processing is carried out, and when the respiratory frequency mean value or the heartbeat rate mean value is not in the respiratory frequency normal threshold or the heartbeat rate normal threshold, the working state of the heart and lung organs of the user is judged to be unstable, and a respiratory heartbeat abnormal signal is generated.
The invention has further technical improvements that: the data monitoring unit carries out real-time monitoring on the sleep state of the user, and the specific steps are as follows:
step S41: acquiring snore decibel values, deep sleep time, shallow sleep time and body turning times of a user in a sleeping state, marking the snore decibel values as HBi, marking the deep sleep data as SS, marking the shallow sleep data as QS and marking the body turning times as FS, wherein i represents the number of the snoring times, and is a positive integer;
step S42: calculating the average value of snore decibel values, marking the average value as snore decibel average value HBs, and substituting the snore decibel values, deep sleep time, shallow sleep time and body turning times into a calculation formula together:
and obtaining a sleep index KZ, wherein x, y and z respectively represent snore influence factors, deep sleep conversion factors and turnover frequency influence factors and are preset values.
The invention has further technical improvements that: the specific steps of the health early warning unit for identifying and processing the signals and the data are as follows:
step S51: when the environmental comfort index and the dust concentration data are both within the preset threshold range, judging that the air environment is suitable for the user to carry out outdoor activities without any treatment, when the environmental comfort index is not within the preset threshold range, generating a voice alarm prompt to remind the user to add or reduce clothes, and when the dust concentration data is not within the preset threshold range, generating a voice alarm prompt to remind the user to wear a mask to go out of the door;
step S52: when the abnormal activity signal is identified, acquiring the contact way of the family member from the data storage unit, and sending the coordinate position of the plastic button body to the mobile phone terminal of the family member through the communication unit;
step S53: when the abnormal body temperature signal and the abnormal breathing heartbeat signal are identified, the user is prompted to seek medical advice in time through voice, and the abnormal body temperature signal or the abnormal breathing heartbeat signal is sent to the mobile phone terminal of the family member through the communication unit;
step S54: when the activity reminding signal is identified, the voice prompts the user to perform appropriate activity, and when the motion time adjusting signal is identified, the voice prompts the user to move moderately;
step S55: when the sleep index is received, the sleep index is matched with the sleep grade coefficient, the sleep grade coefficient corresponds to a good grade, a good grade and a poor grade respectively, when the sleep index corresponds to the good grade or the good grade, no processing is carried out, and when the sleep index corresponds to the poor grade, the light music is automatically played in a sleep time period of the user, so that the sleep quality of the user is improved.
Compared with the prior art, the invention has the beneficial effects that:
1. when the intelligent button is used, the data acquisition unit acquires environmental data and position data and sends the environmental data and the position data to the data analysis unit, the data acquisition unit also acquires user data and transmits the user data to the data storage unit for storage, the map data is prestored in the data storage unit, the data analysis unit analyzes the environment and the position of a user and transmits the obtained environmental comfort index, dust concentration index and abnormal activity signals to the health early warning unit, and the data analysis unit and the health early warning unit are arranged to detect and analyze the air environment so as to provide data reference and prompt for the outgoing activities of the user, so that the intelligent button provides targeted prompt for the old user after analyzing the air environment, the life quality of the old user is improved, and social problems such as missing of the old user and the like are prevented.
2. The data monitoring unit carries out real-time monitoring on the activity state of the vital signs of the user, a body temperature abnormal signal, an activity reminding signal, a movement time adjusting signal and a respiration heartbeat abnormal signal are sent to the health early warning unit, the data monitoring unit also carries out real-time monitoring on the sleep state of the user and sends the obtained sleep index to the health early warning unit, the health early warning unit carries out recognition processing on the received signals and data, the data monitoring unit and the health early warning unit are arranged, the vital signs, the body activity state and the sleep state of the user are analyzed and early warned, the understanding of the old and family members on the body condition of the old and the quality of sleep are improved, and the body protection and the sleep quality of the old are improved.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a block diagram of the system of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood 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.
Referring to fig. 1, a plastic button with health condition monitoring function includes a data acquisition unit, a data monitoring unit, a data analysis unit, a health early warning unit, a data storage unit, a communication unit and a mobile phone terminal;
the data acquisition unit is used for acquiring environmental data and position data and sending the environmental data and the position data to the data analysis unit, the environmental data comprises environmental temperature data, environmental humidity data and dust concentration data, the position data represents position coordinates of the plastic button body on a regional map, the data acquisition unit is also used for acquiring user data and transmitting the user data to the data storage unit for storage, the user data comprises user gender, user age, user residence coordinates and family member contact modes, and the data storage unit is prestored with map data;
the data analysis unit is used for analyzing the environment and the position of the user and transmitting the obtained environment comfort level index, dust concentration index and abnormal activity signal to the health early warning unit;
the data monitoring unit is used for monitoring the activity state of vital signs of a user in real time, obtaining a body temperature abnormal signal, an activity reminding signal, a movement time adjusting signal and a respiration heartbeat abnormal signal and sending the body temperature abnormal signal, the activity reminding signal, the movement time adjusting signal and the respiration heartbeat abnormal signal to the health early warning unit, the data monitoring unit is further used for monitoring the sleep state of the user in real time and sending an obtained sleep index to the health early warning unit, and the health early warning unit identifies and processes the received signals and data.
The specific steps of the data analysis unit for analyzing the environment and the position are as follows:
step S21: acquiring environmental data, marking the environmental temperature data in the environmental data as HW, marking the environmental humidity data as HS, marking the dust concentration data as FC, acquiring position data and marking coordinates of the position data as (a, b);
step S22: substituting the environmental temperature data and the environmental humidity data into a calculation formula
Obtaining an environmental comfort index SZ, wherein alpha represents an environmental temperature influence factor, beta represents an environmental humidity influence factor, and both alpha and beta are preset values;
step S23: a dust concentration standard critical value is preset in the data analysis unit, difference calculation is carried out on the dust concentration standard critical value and the dust concentration data to obtain concentration difference data, and ratio calculation is carried out on the concentration difference data and the dust concentration standard critical value to obtain a dust concentration index;
step S24: the method comprises the steps of extracting map data from a data storage unit, marking a corresponding position in the map data according to the position data, extracting user data from the data storage unit, marking a corresponding position in the map data according to coordinates of a place where a user resides in the map data, connecting two marked positions in the map data by a line, calculating the actual distance between the two points according to a scale, presetting an early warning distance in a data analysis unit, judging that the activity range of the user is normal when the actual distance is smaller than the early warning distance, carrying out no processing, starting a timer when the actual distance is larger than or equal to the early warning distance, generating timing data, judging that the activity range of the user is abnormal when the timing data exceeds a preset time limit value, and generating an abnormal activity signal.
The data monitoring unit carries out real-time monitoring on the activity state of the user and comprises the following specific steps:
step S31: the method comprises the steps that temperature data of the body surface of a user are obtained through a temperature sensor, the heartbeat rate of the user is obtained through a sensing electrode, the respiratory frequency of the user is obtained through measuring the chest fluctuation times of the user, and sitting time data of the user in a sitting posture state and movement time data of the user in movement are obtained through a three-dimensional movement sensor;
step S32: a normal temperature threshold value is preset in the data monitoring unit, the temperature data of the body surface of the user is compared with the normal temperature threshold value, when the temperature data of the body surface of the user is within the normal temperature threshold value, the body temperature of the user is judged to be normal, no processing is performed, and the step S34 is entered; when the temperature data of the body surface of the user exceeds the normal temperature threshold value, judging that the body temperature of the user is abnormal, and entering step S33;
step S33: the method comprises the following steps of obtaining height data and moving distance data of a plastic button body through a three-dimensional motion sensor, establishing a virtual plane rectangular coordinate system, taking the moving distance data as a horizontal coordinate, taking the height data of the plastic button body as a vertical coordinate, marking points represented by each group of horizontal coordinates and vertical coordinates in the virtual plane rectangular coordinate system, then connecting the points by a smooth curve, obtaining values of all wave crests and wave troughs in the curve, solving the average value of difference values between the wave crests and the wave troughs, marking the average value as a peak-to-valley difference average value, simultaneously calculating the distance between the wave crests and the wave troughs, calculating the distance between the wave troughs and the wave troughs, solving a total average value, marking the total average value as a distance frequency average value, and according to a calculation formula: the motion intensity is a peak-to-valley difference mean value + b distance frequency mean value, wherein a and b respectively represent motion influence factors in the vertical direction and the horizontal direction, the difference value between the user body surface temperature data and the human body standard temperature is calculated, whether the motion intensity is matched with the temperature difference value or not is judged according to a motion intensity-temperature rise comparison table, if the matching is successful, no processing is carried out, the matching is failed, and a body temperature abnormal signal is generated;
step S34: a sedentary reminding time and a continuous activity time threshold are preset in the data monitoring unit, when the sedentary time data of the user in the sitting posture keeping state is less than the sedentary reminding time, no processing is carried out, and when the sedentary time data of the user in the sitting posture keeping state is more than or equal to the sedentary reminding time, the user is judged to be inactive for a long time, and an activity reminding signal is generated; when the exercise time data of the user keeping exercise is in the continuous activity time threshold value, judging that the activity time is proper and not processing any treatment, and when the exercise time data of the user keeping exercise is not in the continuous activity time threshold value, judging that the activity time is improper and generating an exercise time adjusting signal;
step S35: the method comprises the steps that a respiratory frequency normal threshold and a heartbeat rate normal threshold are preset in a data monitoring unit, the respiratory frequency and the heartbeat rate of a user monitored every five minutes are averaged to obtain a respiratory frequency mean value and a heartbeat rate mean value respectively, when the respiratory frequency mean value and the heartbeat rate mean value are respectively in the respiratory frequency normal threshold and the heartbeat rate normal threshold, the working state of the heart and lung organs of the user is judged to be stable, no processing is carried out, and when the respiratory frequency mean value or the heartbeat rate mean value is not in the respiratory frequency normal threshold or the heartbeat rate normal threshold, the working state of the heart and lung organs of the user is judged to be unstable, and a respiratory heartbeat abnormal signal is generated.
The invention has further technical improvements that: the data monitoring unit carries out real-time monitoring on the sleep state of the user, and the specific steps are as follows:
step S41: acquiring snore decibel values, deep sleep time, shallow sleep time and body turning times of a user in a sleeping state, marking the snore decibel values as HBi, marking the deep sleep data as SS, marking the shallow sleep data as QS and marking the body turning times as FS, wherein i represents the number of the snoring times, and is a positive integer;
step S42: average value of snore decibel valueAnd marking the average value HBs as snore decibel mean value HBs, and substituting the snore decibel value, deep sleep time, shallow sleep time and body turn-over times into a calculation formula together:
and obtaining a sleep index KZ, wherein x, y and z respectively represent snore influence factors, deep sleep conversion factors and turnover frequency influence factors and are preset values.
The specific steps of the health early warning unit for identifying and processing the signals and the data are as follows:
step S51: when the environmental comfort index and the dust concentration data are both within the preset threshold range, judging that the air environment is suitable for the user to carry out outdoor activities without any treatment, when the environmental comfort index is not within the preset threshold range, generating a voice alarm prompt to remind the user to add or reduce clothes, and when the dust concentration data is not within the preset threshold range, generating a voice alarm prompt to remind the user to wear a mask to go out of the door;
step S52: when the abnormal activity signal is identified, acquiring the contact way of the family member from the data storage unit, and sending the coordinate position of the plastic button body to the mobile phone terminal of the family member through the communication unit;
step S53: when the abnormal body temperature signal and the abnormal breathing heartbeat signal are identified, the user is prompted to seek medical advice in time through voice, and the abnormal body temperature signal or the abnormal breathing heartbeat signal is sent to the mobile phone terminal of the family member through the communication unit;
step S54: when the activity reminding signal is identified, the voice prompts the user to perform appropriate activity, and when the motion time adjusting signal is identified, the voice prompts the user to move moderately;
step S55: when the sleep index is received, the sleep index is matched with the sleep grade coefficient, the sleep grade coefficient corresponds to a good grade, a good grade and a poor grade respectively, when the sleep index corresponds to the good grade or the good grade, no processing is carried out, and when the sleep index corresponds to the poor grade, the light music is automatically played in a sleep time period of the user, so that the sleep quality of the user is improved.
The working principle is as follows: when the intelligent early warning device is used, firstly, a data acquisition unit acquires environmental data and position data and sends the environmental data and the position data to a data analysis unit, the data acquisition unit also acquires user data and transmits the user data to a data storage unit for storage, map data are prestored in the data storage unit, the data analysis unit analyzes the environment and the position of a user, and an obtained environmental comfort index, a dust concentration index and an abnormal activity signal are transmitted to a health early warning unit; the data monitoring unit monitors the activity state of vital signs of a user in real time, sends obtained abnormal body temperature signals, activity reminding signals, movement time adjusting signals and abnormal respiration and heartbeat signals to the health early warning unit, monitors the sleep state of the user in real time, sends obtained sleep indexes to the health early warning unit, and the health early warning unit identifies and processes the received signals and data.
In the description of the present invention, it is to be understood that the terms "upper", "lower", "left", "right", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are only for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation and a specific orientation configuration and operation, and thus, should not be construed as limiting the present invention. Furthermore, "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless otherwise specified.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and the like are to be construed broadly and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be directly connected or indirectly connected through an intermediate member, or they may be connected through two or more elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
While one embodiment of the present invention has been described in detail, the description is only a preferred embodiment of the present invention and should not be taken as limiting the scope of the invention. All equivalent changes and modifications made within the scope of the present invention shall fall within the scope of the present invention.
Claims (5)
1. The utility model provides a plastics button with health status monitor function which characterized in that: the system comprises a data acquisition unit, a data monitoring unit, a data analysis unit, a health early warning unit, a data storage unit, a communication unit and a mobile phone terminal;
the data acquisition unit is used for acquiring environmental data and position data and sending the environmental data and the position data to the data analysis unit, the environmental data comprises environmental temperature data, environmental humidity data and dust concentration data, the position data represents position coordinates of the plastic button body on a regional map, the data acquisition unit is also used for acquiring user data and transmitting the user data to the data storage unit for storage, the user data comprises user gender, user age, user residence coordinates and family member contact modes, and the data storage unit is prestored with map data;
the data analysis unit is used for analyzing the environment and the position of the user and transmitting the obtained environment comfort level index, dust concentration index and abnormal activity signal to the health early warning unit;
the data monitoring unit is used for monitoring the activity state of vital signs of a user in real time, obtaining a body temperature abnormal signal, an activity reminding signal, a movement time adjusting signal and a respiration heartbeat abnormal signal and sending the body temperature abnormal signal, the activity reminding signal, the movement time adjusting signal and the respiration heartbeat abnormal signal to the health early warning unit, the data monitoring unit is further used for monitoring the sleep state of the user in real time and sending an obtained sleep index to the health early warning unit, and the health early warning unit identifies and processes the received signals and data.
2. The plastic button with health condition monitoring function as claimed in claim 1, wherein the data analysis unit analyzes the environment and the location by the following specific steps:
step S21: acquiring environmental data, marking the environmental temperature data in the environmental data as HW, marking the environmental humidity data as HS, marking the dust concentration data as FC, acquiring position data and marking coordinates of the position data as (a, b);
step S22: substituting the environmental temperature data and the environmental humidity data into a calculation formula
Obtaining an environmental comfort index SZ, wherein alpha represents an environmental temperature influence factor, beta represents an environmental humidity influence factor, and both alpha and beta are preset values;
step S23: a dust concentration standard critical value is preset in the data analysis unit, difference calculation is carried out on the dust concentration standard critical value and the dust concentration data to obtain concentration difference data, and ratio calculation is carried out on the concentration difference data and the dust concentration standard critical value to obtain a dust concentration index;
step S24: the method comprises the steps of extracting map data from a data storage unit, marking a corresponding position in the map data according to the position data, extracting user data from the data storage unit, marking a corresponding position in the map data according to coordinates of a place where a user resides in the map data, connecting two marked positions in the map data by a line, calculating the actual distance between the two points according to a scale, presetting an early warning distance in a data analysis unit, judging that the activity range of the user is normal when the actual distance is smaller than the early warning distance, carrying out no processing, starting a timer when the actual distance is larger than or equal to the early warning distance, generating timing data, judging that the activity range of the user is abnormal when the timing data exceeds a preset time limit value, and generating an abnormal activity signal.
3. The plastic button with health condition monitoring function according to claim 1, wherein the data monitoring unit performs real-time monitoring on the activity state of the user by the following specific steps:
step S31: the method comprises the steps that temperature data of the body surface of a user are obtained through a temperature sensor, the heartbeat rate of the user is obtained through a sensing electrode, the respiratory frequency of the user is obtained through measuring the chest fluctuation times of the user, and sitting time data of the user in a sitting posture state and movement time data of the user in movement are obtained through a three-dimensional movement sensor;
step S32: a normal temperature threshold value is preset in the data monitoring unit, the temperature data of the body surface of the user is compared with the normal temperature threshold value, when the temperature data of the body surface of the user is within the normal temperature threshold value, the body temperature of the user is judged to be normal, no processing is performed, and the step S34 is entered; when the temperature data of the body surface of the user exceeds the normal temperature threshold value, judging that the body temperature of the user is abnormal, and entering step S33;
step S33: the method comprises the following steps of obtaining height data and moving distance data of a plastic button body through a three-dimensional motion sensor, establishing a virtual plane rectangular coordinate system, taking the moving distance data as a horizontal coordinate, taking the height data of the plastic button body as a vertical coordinate, marking points represented by each group of horizontal coordinates and vertical coordinates in the virtual plane rectangular coordinate system, then connecting the points by a smooth curve, obtaining values of all wave crests and wave troughs in the curve, solving the average value of difference values between the wave crests and the wave troughs, marking the average value as a peak-to-valley difference average value, simultaneously calculating the distance between the wave crests and the wave troughs, calculating the distance between the wave troughs and the wave troughs, solving a total average value, marking the total average value as a distance frequency average value, and according to a calculation formula: the motion intensity is a peak-to-valley difference mean value + b distance frequency mean value, wherein a and b respectively represent motion influence factors in the vertical direction and the horizontal direction, the difference value between the user body surface temperature data and the human body standard temperature is calculated, whether the motion intensity is matched with the temperature difference value or not is judged according to a motion intensity-temperature rise comparison table, if the matching is successful, no processing is carried out, the matching is failed, and a body temperature abnormal signal is generated;
step S34: a sedentary reminding time and a continuous activity time threshold are preset in the data monitoring unit, when the sedentary time data of the user in the sitting posture keeping state is less than the sedentary reminding time, no processing is carried out, and when the sedentary time data of the user in the sitting posture keeping state is more than or equal to the sedentary reminding time, the user is judged to be inactive for a long time, and an activity reminding signal is generated; when the exercise time data of the user keeping exercise is in the continuous activity time threshold value, judging that the activity time is proper and not processing any treatment, and when the exercise time data of the user keeping exercise is not in the continuous activity time threshold value, judging that the activity time is improper and generating an exercise time adjusting signal;
step S35: the method comprises the steps that a respiratory frequency normal threshold and a heartbeat rate normal threshold are preset in a data monitoring unit, the respiratory frequency and the heartbeat rate of a user monitored every five minutes are averaged to obtain a respiratory frequency mean value and a heartbeat rate mean value respectively, when the respiratory frequency mean value and the heartbeat rate mean value are respectively in the respiratory frequency normal threshold and the heartbeat rate normal threshold, the working state of the heart and lung organs of the user is judged to be stable, no processing is carried out, and when the respiratory frequency mean value or the heartbeat rate mean value is not in the respiratory frequency normal threshold or the heartbeat rate normal threshold, the working state of the heart and lung organs of the user is judged to be unstable, and a respiratory heartbeat abnormal signal is generated.
4. The plastic button with health condition monitoring function according to claim 1, wherein the data monitoring unit performs real-time monitoring on the sleep state of the user by the following specific steps:
step S41: acquiring snore decibel values, deep sleep time, shallow sleep time and body turning times of a user in a sleeping state, marking the snore decibel values as HBi, marking the deep sleep data as SS, marking the shallow sleep data as QS and marking the body turning times as FS, wherein i represents the number of the snoring times, and is a positive integer;
step S42: calculating the average value of snore decibel values, marking the average value as snore decibel average value HBs, and substituting the snore decibel values, deep sleep time, shallow sleep time and body turning times into a calculation formula together:
and obtaining a sleep index KZ, wherein x, y and z respectively represent snore influence factors, deep sleep conversion factors and turnover frequency influence factors and are preset values.
5. The plastic button with health condition monitoring function according to claim 1, wherein the specific steps of the health early warning unit for identifying and processing the signal and data are as follows:
step S51: when the environmental comfort index and the dust concentration data are both within the preset threshold range, judging that the air environment is suitable for the user to carry out outdoor activities without any treatment, when the environmental comfort index is not within the preset threshold range, generating a voice alarm prompt to remind the user to add or reduce clothes, and when the dust concentration data is not within the preset threshold range, generating a voice alarm prompt to remind the user to wear a mask to go out of the door;
step S52: when the abnormal activity signal is identified, acquiring the contact way of the family member from the data storage unit, and sending the coordinate position of the plastic button body to the mobile phone terminal of the family member through the communication unit;
step S53: when the abnormal body temperature signal and the abnormal breathing heartbeat signal are identified, the user is prompted to seek medical advice in time through voice, and the abnormal body temperature signal or the abnormal breathing heartbeat signal is sent to the mobile phone terminal of the family member through the communication unit;
step S54: when the activity reminding signal is identified, the voice prompts the user to perform appropriate activity, and when the motion time adjusting signal is identified, the voice prompts the user to move moderately;
step S55: when the sleep index is received, the sleep index is matched with the sleep grade coefficient, the sleep grade coefficient corresponds to a good grade, a good grade and a poor grade respectively, when the sleep index corresponds to the good grade or the good grade, no processing is carried out, and when the sleep index corresponds to the poor grade, the light music is automatically played in a sleep time period of the user, so that the sleep quality of the user is improved.
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| CN202110250693.XA CN113017581A (en) | 2021-03-08 | 2021-03-08 | Plastic button with health condition monitoring function |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115590483A (en) * | 2022-10-12 | 2023-01-13 | 深圳市联代科技有限公司（Cn） | Smart phone with health measurement system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115590483A (en) * | 2022-10-12 | 2023-01-13 | 深圳市联代科技有限公司（Cn） | Smart phone with health measurement system |
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