CN112494011A - Method and system for monitoring human health index - Google Patents
Method and system for monitoring human health index Download PDFInfo
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- CN112494011A CN112494011A CN202011345766.5A CN202011345766A CN112494011A CN 112494011 A CN112494011 A CN 112494011A CN 202011345766 A CN202011345766 A CN 202011345766A CN 112494011 A CN112494011 A CN 112494011A
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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
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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
- A61B5/1112—Global tracking of patients, e.g. by using GPS
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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
- A61B5/1123—Discriminating type of movement, e.g. walking or running
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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
- A61B5/1126—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb using a particular sensing technique
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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
- A61B5/68—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
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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
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7221—Determining signal validity, reliability or quality
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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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- 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
- A61B5/7465—Arrangements for interactive communication between patient and care services, e.g. by using a telephone network
- A61B5/747—Arrangements for interactive communication between patient and care services, e.g. by using a telephone network in case of emergency, i.e. alerting emergency services
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2560/00—Constructional details of operational features of apparatus; Accessories for medical measuring apparatus
- A61B2560/02—Operational features
- A61B2560/0242—Operational features adapted to measure environmental factors, e.g. temperature, pollution
Abstract
The application relates to a method and a system for monitoring human health indexes, which are applied to wearable equipment and belong to the technical field of health monitoring. The method comprises the following steps: acquiring health index data in real time, wherein the health index data carries an acquisition time identifier; receiving satellite signals in real time, decoding and operating the satellite signals, generating human body position information carrying receiving time identification and generating human body speed information carrying the receiving time identification; and displaying the health index data, the human body position information and the human body speed information at any moment. The method and the device solve the technical problems that human health monitoring indexes lack pertinence and have low reference value.
Description
Technical Field
The application relates to the technical field of health monitoring, in particular to a method and a system for monitoring human health indexes.
Background
With the arrival of the big data era and the rapid development of wearable devices, more and more wearable devices are used for monitoring various physiological signals of a user, including human health indicators such as electrocardiogram, blood pressure, blood oxygen saturation, respiratory rate and the like, and are read by a wearer or medical care personnel, but the health condition of the wearer is analyzed and judged only from the value or data change trend of the physiological data, so that the acquired physiological data lacks pertinence, and particularly, a group with special requirements on patients with chronic diseases or athletes and the like can even cause misjudgment to a certain degree.
Disclosure of Invention
In order to solve the technical problems that human health monitoring indexes lack of pertinence and have low reference value, the application provides a method and a system for monitoring human health indexes.
In a first aspect, the present application provides a method for monitoring a human health indicator, which is applied to a wearable device, and the method includes:
acquiring health index data in real time, wherein the health index data carries an acquisition time identifier;
receiving satellite signals in real time, decoding and operating the satellite signals, generating human body position information carrying receiving time identification and generating human body speed information carrying the receiving time identification;
and displaying the health index data, the human body position information and the human body speed information at any moment.
Optionally, the method further comprises:
extracting health index data in any time period;
generating a health indicator data set over the time period;
identifying a human motion pattern over the time period;
correlating the human motion pattern over the period of time with the health indicator dataset.
Optionally, the identifying the human motion pattern within the time period includes:
extracting the human body speed data in the time period;
acquiring the speed variation of the human body speed data in the time period;
and identifying the motion mode corresponding to the speed variation according to the preset corresponding relation between the speed variation and the human motion mode.
Optionally, the method for obtaining the preset corresponding relationship between the speed variation and the human body motion mode includes:
pre-establishing a mathematical model of the speed variation and the human motion mode;
inputting the current speed variation into the mathematical model;
and generating the human motion model corresponding to the current speed variation.
Optionally, the identifying the human motion pattern in the time period further includes:
acquiring an acceleration value in any time period;
and identifying the human motion mode in the time period according to the preset corresponding relation between the human motion mode and the acceleration value in any time period.
Optionally, after the generating of the information carrying the receiving time identification human body position and the information carrying the receiving time identification human body speed, the method further includes:
identifying the category of the current human body position information, judging whether the current human body health index data is within a preset range of preset standard index data according to the category of the current human body position information, and if the current human body health index data exceeds the preset range of the standard index data, sending warning information;
the classification of the human body position information is to classify the human body position information according to an altitude numerical value, and the classification of the human body position information corresponds to a preset range of preset standard index data.
Optionally, before the acquiring health indicator data in real time, the method further comprises:
and detecting the current electric quantity of the equipment for acquiring the health index data, displaying the current electric quantity, and sending out warning information if the current electric quantity of the equipment is lower than a preset electric quantity threshold value.
Optionally, before the receiving the satellite signal in real time, the method further comprises:
and judging the intensity of the satellite signal, and if the intensity of the satellite signal is smaller than the preset intensity threshold, switching to receiving the human body position information and the human body speed information from the mobile terminal.
Optionally, the method further comprises:
setting a starting time and a terminating time, and generating a motion trail and a health index curve in a time period corresponding to the starting time and the terminating time.
In a second aspect, the present application provides a system for monitoring human health indicators, applied to a wearable device, the system comprising:
the health index data detection module is used for acquiring the health index data in real time, and the health index data carries an acquisition time identifier;
the satellite signal receiving module is used for receiving the satellite signals in real time, decoding and operating the satellite signals and generating human body position information carrying the receiving moment identification and human body speed information carrying the receiving moment identification;
and the display module is used for displaying the health index data, the human body position information and the human body speed information at any moment.
The application provides a method for monitoring human health indexes, which comprises the steps of acquiring health index data in real time, receiving and decoding satellite signals in real time, generating human body position information and human body speed data, and combining the acquired health index data with the environmental position characteristics and the human body speed data of a human body, so that a monitoring result has higher pertinence and reference value, and the reliability is higher.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
FIG. 1 is a schematic flow chart illustrating a method for monitoring human health indicators according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an application scenario of the method for monitoring human health indicators according to the embodiment of the present invention;
FIG. 3 is a schematic flow chart illustrating a method for monitoring human health indicators according to an embodiment of the present invention;
fig. 4 is a block diagram of a system for monitoring human health indicators according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all 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 application.
Fig. 1 is a schematic flow chart of a method for monitoring a human health indicator according to an embodiment of the present application. Referring to fig. 1, the method for monitoring human health index is applied to wearable devices, especially wearable medical devices, such as an electrocardiograph, a blood pressure monitor, a heart activity monitor, a blood oxygen concentration monitor, a blood glucose meter, etc. which can be attached to a body and carried about twenty-four hours.
In an embodiment of the application, a method for monitoring a human health index comprises the following steps:
step 101: acquiring health index data in real time, wherein the health index data carries an acquisition time identifier;
step 102: receiving satellite signals in real time, decoding and operating the satellite signals, generating human body position information carrying receiving time identification and generating human body speed information carrying the receiving time identification;
step 103: and displaying the health index data, the human body position information and the human body speed information at any moment.
By acquiring health index data in real time, such as data of measuring human health indexes such as electrocardio, blood pressure, heart activity, blood oxygen concentration, blood sugar and the like corresponding to the wearable medical equipment, and receiving and decoding satellite signals in real time, human body position information and human body speed data of wearing the equipment are generated, the health index data, the human body position information and the human body speed information carry acquired time marks, the human body position information is the environmental characteristics of the human body, and the human body speed information is the state information of the human body in the environment, so that the health index data at any same time, the environmental characteristics of the human body and the state information of the human body can be acquired and displayed in real time for a user to interpret and analyze, particularly for a group needing to specially monitor the health indexes, such as the elderly or athletes needing to monitor the relationship between the human body state and the health indexes, the monitoring result has more pertinence and reference value and higher reliability.
As shown in fig. 2, in the implementation of the present application, the method is applied to an electrocardiograph, and position information including longitude and latitude at any time, a human body speed, and a heart rate value corresponding to any time are displayed in real time, so that the analysis of the acquired heart rate record is more accurate and convenient on the basis, and the method has a reference value.
As shown in fig. 3, in an embodiment of the present application, the method for monitoring a human health indicator further includes:
step 104: extracting health index data in any time period;
step 105: generating a health indicator data set for the time period;
step 106: identifying a human motion pattern within the time period;
step 107: the human motion pattern over the time period is associated with a health indicator data set.
By associating the health index data set with the motion pattern of the human body in the time period for acquiring the health index data set, the user can analyze the change state of the human body health index under a certain motion pattern, for example, how the heart rate changes under the running state, judge whether the change is abnormal or not, and use the change as a reference in medical treatment or exercise training and outdoor exercises, thereby having a specific individual scheme for treating or training and outdoor exercises.
In an embodiment of the application, identifying a human motion pattern over a period of time includes:
step 108: extracting the human body speed data in a time period;
step 109: acquiring the speed variation of the human body speed data in a time period;
step 110: and identifying the motion mode corresponding to the speed variation according to the preset corresponding relation between the speed variation and the human motion mode.
In an embodiment of the application, a method for obtaining a preset corresponding relationship between a speed variation and a human motion mode includes:
pre-establishing a mathematical model of speed variation and a human motion mode;
inputting the current speed variation into a mathematical model;
and generating a human motion model corresponding to the current speed variation.
In an embodiment of the present application, identifying a human motion pattern over a period of time further comprises:
acquiring an acceleration value in any time period;
and identifying the human body motion mode in any time period according to the corresponding relation between the preset human body motion mode and the acceleration value in any time period.
In an embodiment of the application, a motion mode of the wearable device user, for example, a mode of running at a constant speed, running at an accelerated speed, jumping, or being still, is identified by obtaining a speed parameter or an acceleration parameter of motion biomechanics and a corresponding relationship between a preset speed variation and a human motion mode.
In the embodiment of the application, the piezoresistive triaxial acceleration sensor can be used for acquiring the motion acceleration of the wearable device user, the acceleration value can reflect the motion intensity of the wearable device user, the corresponding relation between the motion intensity and the energy consumption is acquired through experiments or empirical data, and the corresponding relation between the acceleration value and the motion mode is acquired because different energy consumptions correspond to different motion modes.
In an embodiment of the present application, after generating the human body position information and the human body velocity information, the method further includes:
identifying the category of the current human body position information, judging whether the current human body health index data is within a preset range of preset standard index data according to the category of the current human body position information, and if the current human body health index data exceeds the preset range of the standard index data, sending out warning information;
the classification of the human body position information is to classify the human body position information according to the altitude numerical value, and the classification of the human body position information corresponds to the preset range of the preset standard index data.
In the embodiment of the application, the position information is classified according to an altitude value, for example, the altitude is 1 type above 3000 m, when the current position of the user of the wearable device at the altitude of 4000 m is identified, at this time, the monitored heart rate value corresponds to the preset range of the standard index data of the 1 type position, if the monitored heart rate value exceeds the preset range of the standard index data, a warning is sent out, which is particularly important for people who love outdoor sports, for example, in a plateau area or a mountain climbing process, the user receives the warning to remind to have a rest in time, and the occurrence of adverse consequences is avoided; or in the embodiment of the application, the warning information is transmitted to the medical care personnel through the wireless network, so that the rescue time of the bad state is greatly shortened.
In an embodiment of the present application, before acquiring the health indicator data in real time, the method further includes:
and detecting the current electric quantity of the equipment for acquiring the health index data, displaying the current electric quantity, and sending out warning information if the current electric quantity of the equipment is lower than a preset electric quantity threshold value.
In the embodiment of this application, the use scene is outdoor many, wears above-mentioned equipment for a long time moreover, and is just more important to the monitoring of equipment electric quantity, avoids appearing because the electric quantity leads to shutting down and influence the collection of data excessively.
In an embodiment of the present application, before receiving the satellite signal in real time, the method further includes:
and judging the intensity of the satellite signal, and switching to receive the human body position information and the human body speed information from the mobile terminal if the intensity of the satellite signal is smaller than a preset intensity threshold value.
In the embodiment of the application, a plurality of satellite signals from a GPS, lonas Glonass, beidou, Galileo, and the like are received, a satellite signal strength threshold is preset when the satellite signals are not received or have low strength indoors, for example, in a body yard and stadium in a high-rise forest environment, and if the detected satellite strength signal is smaller than the preset threshold, the human body position information and the human body speed information are received through a mobile terminal of a user, where the mobile terminal of the user includes a mobile phone, a tablet computer, and the like.
In an embodiment of the present application, the method further includes: setting a starting time and a stopping time, generating a motion track and a health index curve in a time period corresponding to the starting time and the stopping time, visually displaying monitoring data information and environmental information in the corresponding time period of a user as shown in fig. 2, and setting any time period needing to be analyzed or interpreted, thereby increasing the practicability and flexibility of the human health index monitoring method.
In an embodiment of the present application, a system for monitoring a human health indicator is provided, which is applied to a wearable device, and the system includes:
the health data detection module 310 is configured to obtain health index data in real time, where the health index data carries an obtaining time identifier;
the satellite signal receiving module 320 is configured to receive a satellite signal in real time, decode and calculate the satellite signal, and generate human body position information and human body velocity information carrying a receiving time identifier;
the display module 330 is configured to display the health index data, the human body position information, and the human body speed information at any time.
In the embodiment of the present application, the health data detection module 310 is an electrocardiographic detection module, a blood pressure detection module, a cardiac activity detection module, a blood oxygen concentration detection module, a blood sugar detection module, or the like; the satellite signal receiving module 320 is a GNSS module, and generates human body position information and human body velocity information carrying the receiving time identifier.
In an embodiment of the application, the system further includes an identification module, configured to identify a motion pattern of the human body and identify a category of the current human body position information.
In an embodiment of the application, the identifying module is configured to identify a motion pattern of a human body, and includes:
extracting the human body speed data in a time period;
acquiring the speed variation of the human body speed data in a time period;
and identifying the motion mode corresponding to the speed variation according to the preset corresponding relation between the speed variation and the human motion mode.
Or, in an embodiment of the present application, the recognizing module is configured to recognize a motion pattern of a human body, and includes:
acquiring an acceleration value in any time period through an acceleration sensor;
and identifying the human body motion mode in any time period according to the corresponding relation between the preset human body motion mode and the acceleration value in any time period.
In an embodiment of the application, the identifying module is configured to identify a category of current human body position information, and includes: the classification of the human body position information is to classify the human body position information according to the altitude numerical value, and the classification of the human body position information corresponds to the preset range of the preset standard index data.
In an embodiment of the application, the system further includes a control module, configured to associate a human motion pattern in any time period with the health indicator data set; and the control module is used for judging whether the current human health index data is within a preset range of preset standard index data according to the current human position information category, and sending out warning information if the current human health index data exceeds the preset range of the standard index data.
In an embodiment of the application, the control module is further configured to determine strength of the satellite signal, and switch to receive the human body position information and the human body velocity information from the mobile terminal if the strength of the satellite signal is smaller than a preset strength threshold.
In an embodiment of the application, the control module is further configured to generate a motion trajectory and a health index curve within a time period corresponding to the start time and the end time according to the set start time and the set end time.
In an embodiment of the present application, the display module 330 is further configured to display the motion trajectory and the health index curve in the time period.
It should be understood that at least a portion of the steps in fig. 1 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternating with other steps or at least a portion of the sub-steps or stages of other steps.
It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The foregoing are merely exemplary embodiments of the present invention, which enable those skilled in the art to understand or practice the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A method for monitoring human health indexes is applied to wearable equipment, and the method comprises the following steps:
acquiring health index data in real time, wherein the health index data carries an acquisition time identifier;
receiving satellite signals in real time, decoding and operating the satellite signals, generating human body position information carrying receiving time identification and generating human body speed information carrying the receiving time identification;
and displaying the health index data, the human body position information and the human body speed information at any moment.
2. The method of monitoring a human health indicator of claim 1, further comprising:
extracting health index data in any time period;
generating a health indicator data set over the time period;
identifying a human motion pattern over the time period;
correlating the human motion pattern over the period of time with the health indicator dataset.
3. The method of claim 2, wherein the identifying the human motion pattern over the time period comprises:
extracting the human body speed data in the time period;
acquiring the speed variation of the human body speed data in the time period;
and identifying the motion mode corresponding to the speed variation according to the preset corresponding relation between the speed variation and the human motion mode.
4. The method of monitoring human health indicators of claim 3,
the method for acquiring the preset corresponding relation between the speed variation and the human body motion mode comprises the following steps:
pre-establishing a mathematical model of the speed variation and the human motion mode;
inputting the current speed variation into the mathematical model;
and generating the human motion model corresponding to the current speed variation.
5. The method of monitoring a human health indicator of claim 2, wherein the identifying the human motion pattern over the time period further comprises:
acquiring an acceleration value in any time period;
and identifying the human motion mode in the time period according to the preset corresponding relation between the human motion mode and the acceleration value in any time period.
6. The method of claim 1, wherein after the generating the identifying the human body location information with the receiving time and the identifying the human body speed information with the receiving time, the method further comprises:
identifying the category of the current human body position information, judging whether the current human body health index data is within a preset range of preset standard index data according to the category of the current human body position information, and if the current human body health index data exceeds the preset range of the standard index data, sending warning information;
the classification of the human body position information is to classify the human body position information according to an altitude numerical value, and the classification of the human body position information corresponds to a preset range of preset standard index data.
7. The method of monitoring a human health indicator of claim 1, wherein prior to said obtaining health indicator data in real-time, the method further comprises:
and detecting the current electric quantity of the equipment for acquiring the health index data, displaying the current electric quantity, and sending out warning information if the current electric quantity of the equipment is lower than a preset electric quantity threshold value.
8. The method of monitoring a human health indicator of claim 1, wherein prior to said receiving satellite signals in real time, the method further comprises:
and judging the intensity of the satellite signal, and if the intensity of the satellite signal is smaller than the preset intensity threshold, switching to receiving the human body position information and the human body speed information from the mobile terminal.
9. A method of monitoring a human health indicator as claimed in any one of claims 1 to 8, further comprising:
setting a starting time and a terminating time, and generating a motion trail and a health index curve in a time period corresponding to the starting time and the terminating time.
10. The utility model provides a system for monitoring health index, is applied to wearable equipment, its characterized in that includes:
the health index data detection module is used for acquiring the health index data in real time, and the health index data carries an acquisition time identifier;
the satellite signal receiving module is used for receiving the satellite signals in real time, decoding and operating the satellite signals and generating human body position information carrying receiving time identification and human body speed information carrying the receiving time identification;
and the display module is used for displaying the health index data, the human body position information and the human body speed information at any moment.
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| CN202011345766.5A CN112494011A (en) | 2020-11-25 | 2020-11-25 | Method and system for monitoring human health index |
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| CN202011345766.5A CN112494011A (en) | 2020-11-25 | 2020-11-25 | Method and system for monitoring human health index |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115590505A (en) * | 2022-12-15 | 2023-01-13 | 楠楠聚智信息科技有限责任公司（Cn） | Data anomaly analysis method for intelligent motion monitoring device |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115590505A (en) * | 2022-12-15 | 2023-01-13 | 楠楠聚智信息科技有限责任公司（Cn） | Data anomaly analysis method for intelligent motion monitoring device |
| CN115590505B (en) * | 2022-12-15 | 2023-03-14 | 楠楠聚智信息科技有限责任公司 | Data anomaly analysis method for intelligent motion monitoring device |
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