CN116999035B - Portable remote monitoring terminal and remote monitoring system - Google Patents
Portable remote monitoring terminal and remote monitoring system Download PDFInfo
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- A61B5/6802—Sensor mounted on worn items
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- 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
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Abstract
The invention discloses a portable remote monitoring terminal and a remote monitoring system, and particularly relates to the field of monitoring equipment. Comparing the efficiency quantization coefficient with a quality classification threshold to generate signals with different wearing effects so as to perform timely intervention and wristband adjustment, thereby improving the reliability of the monitor and the user satisfaction; and secondly, under the same data acquisition condition, physiological data before and after wristband adjustment is analyzed, an adjustment result coefficient is calculated to determine the influence of wristband adjustment on data quality, and an improvement signal is generated by analyzing and comparing the data, so that the user can be helped to clearly determine the cause of the problem, the use effect of the monitor is improved, the user experience and the confidence are improved, and meanwhile, the accuracy and the reliability of monitoring data are ensured, so that the efficiency of health monitoring is improved.
Description
Technical Field
The invention relates to the field of monitoring equipment, in particular to a portable remote monitoring terminal and a remote monitoring system.
Background
The wrist monitor is a small portable device worn on the wrist for remote monitoring and recording of physiological parameters and activity data of a user. It generally includes heart rate monitoring, blood pressure monitoring, sleep monitoring, exercise tracking, etc., and can be used to track health, activity level and sleep quality in real time and provide data analysis to help users manage health and lifestyle. The role of the wrist monitor includes providing health data, exercise guidance, sleep assessment, and connection to a smart phone or computer, enabling the user to better understand and improve his health and lifestyle.
The wrist type monitor consists of a wrist strap and an equipment main body, and the tightness degree of the wrist strap is important in the use process. If the wrist strap is too loose, the physiological data acquisition failure and the data acquisition effect are possibly reduced, even the continuous acquisition is interrupted, the useless data is overloaded, frequent alarm sounds interfere with users, the power consumption is increased sharply, and the endurance time is greatly reduced. On the other hand, if the wrist strap is too tightly regulated, the wrist is pressed, the pulse perception of the sensor is affected, the physiological data measurement is inaccurate, meanwhile, discomfort and trace are also caused, and the user experience is affected. In addition, wrist sweat or water stain may reduce the friction force between the monitor and the wrist, easily cause relative movement, and further reduce the physiological data acquisition effect. Thus, properly adjusting the tightness of the wristband is critical to the performance and user experience of the wrist monitor. However, the tightness of the existing wrist strap is mainly adjusted by a user, and the tightness is mainly adjusted by the user for comfort, so that the tightness or the tightness can be possibly too tight or too loose, and the monitoring data of the monitor can be influenced.
In order to solve the above problems, a technical solution is now provided.
Disclosure of Invention
In order to overcome the defects in the prior art, the embodiment of the invention provides that the index of the interruption degree and the wristband pressure out-of-range degree is comprehensively collected and monitored to obtain the application efficiency quantization coefficient, and the application efficiency quantization coefficient is used for evaluating the binding effect of a user and a monitor. The coefficient is compared to a quality classification threshold to generate a different wear effect signal, such as a low wear effect signal, triggering wristband adjustment. Flexibly and actively adjusting the tightness of the wrist strap, ensuring high-quality physiological data acquisition and keeping the wearing comfort of a user; in addition, physiological data are compared front and back under the same data condition, and an adjustment result coefficient is calculated, so that objective evaluation is provided, the user is helped to identify the problem cause, the use effect of the monitor is improved, the data accuracy and the user satisfaction are improved, and the health monitoring efficiency is enhanced, so that the problems in the background technology are solved.
In order to achieve the above purpose, the present invention provides the following technical solutions:
the portable remote monitoring system comprises an abnormality acquisition unit, an abnormality definition unit, an analysis and adjustment unit, a feedback summarization unit and an abnormality definition unit;
the abnormality acquisition unit is used for acquiring abnormality information and pressure information when the monitor is used and sending the abnormality information and the pressure information to the clear abnormality unit;
the clear abnormal unit is used for comprehensively analyzing and calculating the abnormal information and the pressure information to obtain an application efficiency quantization coefficient, and sending the application efficiency quantization coefficient to the analysis and adjustment unit;
the analysis and adjustment unit is used for analyzing the application efficiency quantization coefficients to generate different wearing effect signals, wherein the different wearing effect signals comprise a high wearing effect signal and a low wearing effect signal, the wrist strap is correspondingly adjusted based on the different wearing effect signals, and the different wearing effect signals are sent to the feedback summarizing unit;
the feedback summarizing unit is used for analyzing and processing the same physiological data before and after the wristband tightness adjusting motor is driven under the condition of obtaining the low-level wearing effect signal to obtain an adjusting result coefficient, and sending the adjusting result coefficient to the definite factor unit;
the explicit factor unit is used for comparing the adjustment result coefficient with the significant threshold value, and generating an improvement signal and a closing adjustment signal according to the comparison result.
In a preferred embodiment, the operation of the anomaly acquisition unit includes the following:
the parameters comprise abnormal information and pressure information, wherein the abnormal information comprises a monitoring interruption degree index, and the pressure information comprises a wrist strap pressure out-of-range degree index.
In a preferred embodiment, the acquisition logic for monitoring the interruption degree index is:
step S111, recording data related to the monitoring process, including data loss rate, monitoring time, interruption frequency and data continuity in the monitoring time period;
the data loss rate refers to the proportion of monitoring interruptions that occur during monitoring by the monitor;
the monitoring time refers to the total duration of the monitoring time period;
the interrupt frequency refers to the number of times of monitoring interrupt in the monitoring time period;
data continuity = valid data point/(valid data point + number of interrupted data points) for measuring an indicator of monitoring continuity;
step S112, calculating the index of the interruption degree of monitoring and the calculation formulaThe formula is:；
in the method, in the process of the invention,to monitor the interruption degree index>Data loss rate, data continuity, monitoring time and interruption frequency, respectively.
In a preferred embodiment, the wristband pressure out of range index acquisition logic is:
step S121, collecting wristband pressure data during a monitoring period, calculating a comparison result between each data point and a stability threshold range, if the data point is no longer within the stability threshold range, outputting the data point, otherwise, not outputting, counting all the output data points, marking as abnormal data points and constructing an abnormal data set, wherein a plurality of pressure data points are arranged in the abnormal data set, and the abnormal data set is expressed as:；
counting all non-output data points, marking the non-output data points as qualified data points and constructing a qualified data set, wherein the qualified data set is provided with a plurality of pressure data points, and the representation is as follows:；
step S122, recording all qualified data points, calculating the mean value and standard deviation of the qualified data points, wherein the mean value of the qualified data points is marked asStandard deviation of qualified data points is marked +.>；
Step S123, for each qualified data point, calculating the ratio of the mean value to the standard deviation of the qualified data point, expressed as：/>；
Step S124, allThe values are averaged to obtain a fraction of the range internal fluctuation degree index:
；
wherein IDF represents an internal fluctuation degree index, k represents a serial number of the qualified data points, and M represents the total number of the qualified data points;
step S125, for each pair of abnormal data points, calculating the ratio of the absolute difference to the standard difference between each other, expressed as；
The calculation formula is as follows:；
in the method, in the process of the invention,represents standard deviation->And->Representing qualified data points +.>Qualified data point->；
Step S126, for allThe values are averaged to obtain a fraction of the external overstep fluctuation degree index, expressed as +.>；
The calculation formula is as follows:；
step S127, calculating a wristband pressure out-of-range degree index, with a calculation formula:
；
wherein WBPI represents the wrist strap pressure out-of-range degree index, and H1 represents the abnormal data point duty ratio threshold; if it isIn section->Y is assigned a 1, otherwise it is assigned a 0.
In a preferred embodiment, the operation of the explicit exception unit comprises the following:
the monitoring interruption degree index and the wrist strap pressure out-of-limit degree index are comprehensively calculated to obtain an application efficiency quantization coefficient, wherein the calculation formula is as follows:;
in the method, in the process of the invention,representing the application efficacy quantization factor,/->Monitoring interruption degree index, wristband pressure out of range degree index, +.>Proportional coefficients of the monitoring interruption degree index and the wristband pressure out-of-range degree index are respectively, and +.>Are all greater than 0.
In a preferred embodiment, the operation of the analysis adjustment unit comprises the following:
comparing the application efficiency quantization coefficient with the quality classification threshold, and generating a high wearing effect signal if the application efficiency quantization coefficient is smaller than the quality classification threshold;
if the application efficiency quantization coefficient is greater than or equal to the quality classification threshold, a low-level wearing effect signal is generated, a wristband adjustment early warning prompt is sent out, and the wristband tightness adjusting motor is driven to actively rotate the telescopic fine adjustment wristband.
In a preferred embodiment, the operation of the feedback summary unit comprises the following:
step S311, under the condition of obtaining the low wearing effect signal, obtaining the latest monitored multiple physiological data before and after the wristband tightness adjusting motor is driven, marking the latest monitored multiple physiological data before the wristband tightness adjusting motor is driven as n1, marking the latest monitored multiple physiological data after the wristband tightness adjusting motor is driven as n2, wherein n1 and n2 are the same physiological data and the data quantity is the same;
step S312, calculating the average value of the two sets of dataAnd->；
Step S313, calculating standard deviations of two sets of data respectively, i.eAnd->；
Step S314, calculating an adjustment result coefficient, wherein the calculation formula is as follows:
;
wherein T is the adjustment result coefficient,represents the aggregate standard deviation of the two sets of data, +.>Representing degrees of freedom.
In a preferred embodiment, the operation of the explicit factor unit comprises the following:
comparing the adjustment degree coefficient with the significant threshold, and generating an improvement signal if the adjustment degree coefficient is greater than or equal to the significant threshold; if the adjustment degree coefficient is smaller than the significant threshold, a closing adjustment signal is generated, and the wristband is not adjusted any more.
In a preferred embodiment, a portable telemonitoring terminal comprises a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the portable telemonitoring system when executing the computer program.
The portable remote monitoring terminal and the remote monitoring system have the technical effects and advantages that:
1. the method comprises the steps of obtaining an application efficiency quantization coefficient through comprehensive calculation by collecting and monitoring an interruption degree index and a wrist strap pressure out-of-limit degree index, comparing the application efficiency quantization coefficient with a quality classification threshold value by using the application efficiency quantization coefficient to analyze the binding effect between a user and a monitor, generating different wearing effect signals according to the comparison result, sending out wrist strap adjustment early warning prompts after obtaining low wearing effect signals, and driving a wrist strap tightness adjusting motor to actively rotate a telescopic fine adjustment wrist strap until the wrist strap pressure is within a wrist strap pressure threshold value and the application efficiency quantization coefficient is not more than the quality classification threshold value; furthermore, intervention adjustment can be actively performed in real time according to the state of the user using the monitor, so that the monitor can accurately collect physiological data of the user with high quality and simultaneously keep wearing comfort of the user, thereby improving data acquisition quality and wearing experience, and being beneficial to improving reliability and satisfaction of the monitor;
2. under the same data acquisition condition, respectively acquiring the same physiological data before and after the wristband is adjusted by the motor, and calculating an adjustment result coefficient to determine whether the wristband adjustment has obvious influence on the data quality; furthermore, an objective evaluation method is provided, so that not only is the dependence of subjective judgment reduced, but also an improvement signal or a closing adjustment signal is generated through data analysis and comparison to assist a user in specifying the root cause of the problem, so that the use effect of the monitor is improved, the user experience and the confidence are improved, the accuracy and the reliability of monitoring data are ensured, and the efficiency of health monitoring is improved.
Drawings
Fig. 1 is a schematic structural diagram of a portable telemonitoring terminal and a telemonitoring system according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
FIG. 1 shows a portable telemonitoring system according to the present invention, comprising an abnormality acquisition unit, an abnormality determination unit, an analysis adjustment unit, a feedback summarization unit and an abnormality determination unit;
the abnormality acquisition unit is used for acquiring abnormality information and pressure information when the monitor is used and sending the abnormality information and the pressure information to the clear abnormality unit;
the clear abnormal unit is used for comprehensively analyzing and calculating the abnormal information and the pressure information to obtain an application efficiency quantization coefficient, and sending the application efficiency quantization coefficient to the analysis and adjustment unit;
the analysis and adjustment unit is used for analyzing the application efficiency quantization coefficients to generate different wearing effect signals, wherein the different wearing effect signals comprise a high wearing effect signal and a low wearing effect signal, the wrist strap is correspondingly adjusted based on the different wearing effect signals, and the different wearing effect signals are sent to the feedback summarizing unit;
the feedback summarizing unit is used for analyzing and processing the same physiological data before and after the wristband tightness adjusting motor is driven under the condition of obtaining the low-level wearing effect signal to obtain an adjusting result coefficient, and sending the adjusting result coefficient to the definite factor unit;
the explicit factor unit is used for comparing the adjustment result coefficient with the significant threshold value, and generating an improvement signal and a closing adjustment signal according to the comparison result.
The operation process of the abnormality acquisition unit includes the following:
the parameters comprise abnormal information and pressure information, wherein the abnormal information comprises a monitoring interruption degree index, and the pressure information comprises a wrist strap pressure out-of-range degree index.
When the monitor monitors physiological data, if the data acquisition is frequently interrupted, this may indicate a problem during the wearing of the monitor by the user. It is therefore highly necessary and reasonable to collect a monitoring disruption index, as it can provide important information about the performance of the monitoring device and the wearing of the user. By periodically monitoring the interruption degree, potential user wearing problems can be identified early, and the continuity and accuracy of data are ensured. Such an index helps to assess the representativeness of the parameters acquired over the period, helps to more reliably assess the health of the user, and ultimately provides better health care. This index is significant in both monitoring device design and user training, helping to improve the effectiveness and reliability of physiological data acquisition.
The acquisition logic for monitoring the interruption degree index is as follows:
step S111, recording data related to the monitoring process, including data loss rate, monitoring time, interruption frequency and data continuity in the monitoring time period;
the data loss rate refers to the proportion of monitoring interruptions that occur during monitoring by the monitor;
the monitoring time refers to the total duration of the monitoring time period;
the interrupt frequency refers to the number of times of monitoring interrupt in the monitoring time period;
data continuity = valid data point/(valid data point + number of interrupted data points) for measuring an indicator of monitoring continuity;
step S112, calculating a monitoring interruption degree index, wherein the calculation formula is as follows:；
in the method, in the process of the invention,to monitor the interruption degree index>Data loss rate, data continuity, monitoring time and interruption frequency, respectively.
The monitoring interruption degree index is used for evaluating the continuity and reliability of monitoring data of the monitor, the larger the monitoring interruption degree index is, the higher the interruption degree of the monitoring data is, the worse the continuity is, the lower the integrity of the data is, and on the contrary, the smaller the monitoring interruption degree index is, the lower the interruption degree of the monitoring data is, the better the continuity is, and the higher the integrity of the data is.
The tightness of the wristband is of critical importance when the monitor monitors the user. Firstly, the physiological data acquisition accuracy of the monitor is directly affected by the proper tightness degree of the wrist strap. If the wristband is too loose or too tight, it may result in inaccurate or unreliable data acquisition, thereby affecting the health monitoring results. Thus, ensuring proper adjustment of the wristband is critical to obtaining accurate physiological data.
Second, the tightness of the wristband is also closely related to the comfort and experience of the user. If the wristband is too tight, it may cause discomfort, tracking, or unwilling to wear the monitor, thereby reducing the sustainability of the monitoring. In contrast, the proper tightness degree of the wrist strap can improve the comfort level of a user and the enthusiasm for wearing the monitor;
in addition, the data acquisition for a long time is facilitated, in addition, the volume and the weight of the monitor are relatively heavy and large, unlike a common watch, so that the wrist strap is easy to loose or loose in lock catch in the process of accompanying the movement of a user, the binding wearing effect is easy to be poor because the skin of the user sweats and slips, the tightness between the wrist strap and the user is flexibly and actively adjusted according to the using state of the user, and the using effect of the monitor is ensured.
Therefore, it is necessary to analyze and calculate the tightness of the wristband, which helps to ensure that the monitor can provide accurate physiological data while monitoring the user, and also can improve the user experience, and enhance the usability and reliability of the monitor. Proper adjustment of this factor is an important element in ensuring monitor performance and user satisfaction.
The acquisition logic of the wristband pressure out-of-range degree index is as follows:
step S121, collecting wristband pressure data during a monitoring period, calculating a comparison result between each data point and a stability threshold range, if the data point is no longer within the stability threshold range, outputting the data point, otherwise, not outputting, counting all the output data points, marking as abnormal data points and constructing an abnormal data set, wherein a plurality of pressure data points are arranged in the abnormal data set, and the abnormal data set is expressed as:；
counting all non-output data points, marking the non-output data points as qualified data points and constructing a qualified data set, wherein the qualified data set is provided with a plurality of pressure data points, and the representation is as follows:；
step S122, recording all qualified data points, calculating the mean value and standard deviation of the qualified data points, wherein the mean value of the qualified data points is marked asStandard deviation of qualified data points is marked +.>；
Step S123, for each qualified data point, calculating the ratio of the mean value to the standard deviation of the qualified data point, expressed as：/>；
Step S124, allThe values are averaged to obtain a fraction of the range internal fluctuation degree index:
；
where IDF represents the internal fluctuation degree index, k represents the number of qualified data points, and M represents the total number of qualified data points.
Step S125, for each pair of abnormal data points, calculating the ratio of the absolute difference to the standard difference between each other, expressed as；
The calculation formula is as follows:；
in the method, in the process of the invention,represents standard deviation->And->Representing qualified data points +.>Qualified data point->；
Step S126, for allThe values are averaged to obtain a fraction of the external overstep fluctuation degree index, expressed as +.>；
The calculation formula is as follows:；
step S127, calculating a wristband pressure out-of-range degree index, with a calculation formula:
；
wherein WBPI represents the wrist strap pressure out-of-range degree index, and H1 represents the abnormal data point duty ratio threshold; if it isIn section->Y is assigned a 1, otherwise it is assigned a 0.
The wrist strap pressure out-of-range degree index is used for indicating the out-of-range degree of wrist strap pressure fluctuation during the process that a user wears the monitor; when the wrist strap pressure out-of-range degree index is smaller, the effect that the user wears the monitor is better is shown, and the wrist strap pressure in most of the time is in a stable range; when the wristband pressure out-of-range degree is large, the wristband pressure data are more than the specified part, and the wearing pressure abnormal fluctuation condition exists, so that the tightness adjusting effect of the wearing monitor by the user is poor.
The operation process of the clear abnormal unit comprises the following steps:
the monitoring interruption degree index and the wrist strap pressure out-of-limit degree index are comprehensively calculated to obtain an application efficiency quantization coefficient, wherein the calculation formula is as follows:;
in the method, in the process of the invention,representing the application efficacy quantization factor,/->Monitoring interruption degree index, wristband pressure out of range degree index, +.>Proportional coefficients of the monitoring interruption degree index and the wristband pressure out-of-range degree index are respectively, and +.>Are all greater than 0.
The application efficiency quantization coefficient is used for measuring the monitoring effect of the user when the monitor is used for acquiring physiological data, and if the application efficiency quantization coefficient is smaller, the effect that the user wears the monitor is better is indicated. This means that the wristband pressure is moderate, the monitoring data continuity is higher, the wristband pressure is adjusted to be in place when the user wears the monitor, the relative movement of the sensor of the monitor and the wrist part is smaller and more synchronous, therefore, the quality of the monitoring data is higher; conversely, if the performance quantization factor is applied more, this indicates that the user is less effective using the wearable monitor. This may mean that the wristband pressure is not adequate, the continuity of the monitored data is low, the wristband pressure is not adjusted in place while the user is wearing the monitor, the relative movement of the sensor and wrist of the monitor is large, and the data quality is poor.
The operation process of the analysis adjustment unit comprises the following steps:
comparing the application efficiency quantization coefficient with a quality classification threshold, if the application efficiency quantization coefficient is smaller than the quality classification threshold, the binding effect between the monitor and the wrist of the user is good, the relative movement between the monitor and the wrist is in a reasonable range, the continuity of monitoring data is high, the quality of the monitoring data is higher, and a high wearing effect signal is generated;
if the application efficiency quantization coefficient is greater than or equal to the quality classification threshold, the wristband pressure adjustment is improper, the monitoring data continuity is low, the relative motion quantity of the monitor and the wrist part is large, the data quality is poor, a low-level wearing effect signal is generated, a wristband adjustment early warning prompt is sent out, the wristband tightness adjusting motor is driven to actively rotate the telescopic fine-tuning wristband until the wristband pressure is within the wristband pressure threshold, and the application efficiency quantization coefficient is not greater than the quality classification threshold.
The wrist strap tightness adjusting motor is located inside the monitor, the wrist strap is wound when the wrist strap tightness adjusting motor rotates, the wrist strap is tightened or released, the tightness of the wrist strap is adjusted, the pressure of the wrist strap can be actively adjusted, the wearing effect can be flexibly adjusted according to the use condition of a user, and the effect of improving the quality of monitoring data is achieved.
The method comprises the steps of obtaining an application efficiency quantization coefficient through comprehensive calculation by collecting and monitoring an interruption degree index and a wrist strap pressure out-of-limit degree index, comparing the application efficiency quantization coefficient with a quality classification threshold value by using the application efficiency quantization coefficient to analyze the binding effect between a user and a monitor, generating different wearing effect signals according to the comparison result, sending out wrist strap adjustment early warning prompts after obtaining low wearing effect signals, and driving a wrist strap tightness adjusting motor to actively rotate a telescopic fine adjustment wrist strap until the wrist strap pressure is within a wrist strap pressure threshold value and the application efficiency quantization coefficient is not greater than the quality classification threshold value; furthermore, intervention adjustment can be actively performed in real time according to the state of the user using the monitor, so that the monitor can accurately collect physiological data of the user with high quality and meanwhile wearing comfort of the user is kept, data acquisition quality and wearing experience are improved, and reliability and satisfaction of the monitor are improved.
When the monitor monitors user physiological data, the data quality can be affected by a number of factors, with wristband adjustment being a potentially important factor. To ensure the effectiveness and accuracy of the monitor, it must be clear whether the data quality is degraded by the wristband adjustment problem. This specificity is critical to the user because it helps the user to better understand the manner in which the monitor is used and how to obtain an effective monitoring effect.
By identifying wristband adjustment problems and taking the necessary actions, the monitor can provide more reliable physiological data, ensuring accuracy of monitoring. This helps to improve the user's confidence and satisfaction. Therefore, it is an important step in ensuring monitor function and user experience to make clear whether wristband adjustments affect data quality.
The operation process of the feedback summarizing unit comprises the following steps:
step S311, under the condition that the low wearing effect signal is obtained, the latest monitored multiple physiological data before and after the wristband tightness adjusting motor is driven are obtained, the multiple physiological data comprise at least one physiological data of blood pressure, pulse and electrocardio, the latest monitored multiple physiological data before the wristband tightness adjusting motor is driven are marked as n1, the latest monitored multiple physiological data after the wristband tightness adjusting motor is driven are marked as n2, and n1 and n2 are the same physiological data and have the same data quantity;
it is clear that when the same item of physiological data is acquired before and after motor driving, the environmental conditions and the user states of the front and rear data acquisition are ensured to be the same, for example, the environmental conditions comprise factors such as temperature, humidity, illumination and the like, so as to reduce the influence of data such as environmental change and the like; the user state includes posture, emotion, movement state, etc. to prevent the user state change from affecting the data.
Step S312, calculating the average value of the two sets of dataAnd->；
Step S313, calculating standard deviations of two sets of data respectively, i.eAnd->；
Step S314, calculating an adjustment result coefficient, wherein the calculation formula is as follows:
;
wherein T is the adjustment result coefficient,represents the aggregate standard deviation of the two sets of data, +.>Representing degrees of freedom.
The operation process of the explicit factor unit comprises the following steps:
step S315, comparing the adjustment degree coefficient with a significant threshold, if the adjustment degree coefficient is greater than or equal to the significant threshold, indicating that significant difference exists between the two groups of data after the wrist strap is adjusted, indicating that the acquisition quality effect of the physiological data is improved by properly adjusting the wrist strap, and generating an improvement signal; if the adjustment degree coefficient is smaller than the significant threshold, the tightness adjustment of the wristband does not have significant influence on the monitoring data, so that the influence caused by the wristband can be eliminated, a closing adjustment signal is generated, and the wristband is not adjusted any more.
Under the same data acquisition condition, the invention respectively acquires the same physiological data before and after the motor adjusts the wrist strap, and calculates the adjustment result coefficient to determine whether the wrist strap adjustment has obvious influence on the data quality; furthermore, an objective evaluation method is provided, so that not only is the dependence of subjective judgment reduced, but also an improvement signal or a closing adjustment signal is generated through data analysis and comparison to assist a user in specifying the root cause of the problem, so that the use effect of the monitor is improved, the user experience and the confidence are improved, the accuracy and the reliability of monitoring data are ensured, and the efficiency of health monitoring is improved.
Example 2
The portable remote monitoring terminal comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, and is characterized in that the portable remote monitoring system is realized when the processor executes the computer program.
The above formulas are all formulas with dimensionality removed and numerical calculation, the formulas are formulas with the latest real situation obtained by software simulation through collecting a large amount of data, and preset parameters and threshold selection in the formulas are set by those skilled in the art according to the actual situation.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions described in accordance with the embodiments of the present application are all or partially produced. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable devices. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more sets of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution.
It will be clear to those skilled in the art that, for convenience and brevity of description, the specific working procedures of the systems, apparatuses and units described above may refer to the corresponding procedures in the foregoing embodiments, and are not repeated here.
In the several embodiments provided in the present application, it should be understood that the disclosed system and terminal may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or a part of the technical solution, in the form of a software product stored in a storage medium, including several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a random access memory (random access memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing is merely specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes and substitutions are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Finally: the foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (2)
1. The portable remote monitoring system is characterized by comprising an abnormality acquisition unit, an abnormality definitely unit, an analysis and adjustment unit, a feedback summarization unit and an abnormality definitely factor unit;
the abnormality acquisition unit is used for acquiring abnormality information and pressure information when the monitor is used and sending the abnormality information and the pressure information to the clear abnormality unit;
the clear abnormal unit is used for comprehensively analyzing and calculating the abnormal information and the pressure information to obtain an application efficiency quantization coefficient, and sending the application efficiency quantization coefficient to the analysis and adjustment unit;
the analysis and adjustment unit is used for analyzing the application efficiency quantization coefficients to generate different wearing effect signals, wherein the different wearing effect signals comprise a high wearing effect signal and a low wearing effect signal, the wrist strap is correspondingly adjusted based on the different wearing effect signals, and the different wearing effect signals are sent to the feedback summarizing unit;
the feedback summarizing unit is used for analyzing and processing the same physiological data before and after the wristband tightness adjusting motor is driven under the condition of obtaining the low-level wearing effect signal to obtain an adjusting result coefficient, and sending the adjusting result coefficient to the definite factor unit;
the clear factor unit is used for comparing the adjustment result coefficient with the obvious threshold value and generating an improvement signal and a closing adjustment signal according to the comparison result;
the operation process of the abnormality acquisition unit includes the following:
each parameter comprises abnormal information and pressure information, the abnormal information comprises monitoring interruption degree indexes, and the pressure information comprises wristband pressure out-of-range degree indexes;
the acquisition logic for monitoring the interruption degree index is as follows:
step S111, recording data related to the monitoring process, including data loss rate, monitoring time, interruption frequency and data continuity in the monitoring time period;
the data loss rate refers to the proportion of monitoring interruptions that occur during monitoring by the monitor;
the monitoring time refers to the total duration of the monitoring time period;
the interrupt frequency refers to the number of times of monitoring interrupt in the monitoring time period;
data continuity = valid data point/(valid data point + number of interrupted data points) for measuring an indicator of monitoring continuity;
step S112, calculating a monitoring interruption degree index, wherein the calculation formula is as follows:；
in the method, in the process of the invention,to monitor the interruption degree index>Respectively data loss rate, data continuity, monitoring time and interruption frequency;
the acquisition logic of the wristband pressure out-of-range degree index is as follows:
step S121, collecting wristband pressure data during a monitoring period, calculating a comparison result between each data point and a stability threshold range, if the data point is not within the stability threshold range, outputting the data point, otherwise, not outputting, counting all the output data points, marking as abnormal data points and constructing an abnormal data set, wherein a plurality of pressure data points are arranged in the abnormal data set, and the abnormal data set is expressed as:；
counting all non-output data points, marking the non-output data points as qualified data points and constructing a qualified data set, wherein the qualified data set is provided with a plurality of pressure data points, and the representation is as follows:；
step S122, recording all qualified data points, calculating the mean value and standard deviation of the qualified data points, wherein the mean value of the qualified data points is marked asStandard deviation of qualified data points is marked +.>；
Step S123, for each qualified data point, calculating the ratio of the mean value to the standard deviation of the qualified data point, expressed as：；
Step S124, allThe values are averaged to obtain a fraction of the range internal fluctuation degree index:
；
wherein IDF represents an internal fluctuation degree index, k represents a serial number of the qualified data points, and M represents the total number of the qualified data points;
step S125, for each pair of abnormal data points, calculating the ratio of the absolute difference to the standard difference between each other, expressed as；
The calculation formula is as follows:；
in the method, in the process of the invention,represents standard deviation->And->Representing qualified data points +.>Qualified data point->；
Step S126, for allThe values are averaged to obtain a fraction of the outside-over-range fluctuation degree index expressed as；
The calculation formula is as follows:；
step S127, calculating a wristband pressure out-of-range degree index, with a calculation formula:；
wherein WBPI represents the wrist strap pressure out-of-range degree index, and H1 represents the abnormal data point duty ratio threshold; if it isIn section->Y is assigned 1, otherwise 0;
the operation process of the clear abnormal unit comprises the following steps:
the monitoring interruption degree index and the wrist strap pressure out-of-limit degree index are comprehensively calculated to obtain an application efficiency quantization coefficient, wherein the calculation formula is as follows:;
in the method, in the process of the invention,representing the application efficacy quantization factor,/->Monitoring interruption degree index, wristband pressure out of range degree index, +.>Proportional coefficients of the monitoring interruption degree index and the wristband pressure out-of-range degree index are respectively, and +.>Are all greater than 0;
the operation process of the analysis adjustment unit comprises the following steps:
comparing the application efficiency quantization coefficient with the quality classification threshold, and generating a high wearing effect signal if the application efficiency quantization coefficient is smaller than the quality classification threshold;
if the application efficiency quantization coefficient is greater than or equal to the quality classification threshold, generating a low-level wearing effect signal, sending out a wristband adjustment early warning prompt, and driving a wristband tightness adjusting motor to actively rotate the telescopic fine adjustment wristband;
the operation process of the feedback summarizing unit comprises the following steps:
step S311, under the condition of obtaining the low wearing effect signal, obtaining the latest monitored multiple physiological data before and after the wristband tightness adjusting motor is driven, marking the latest monitored multiple physiological data before the wristband tightness adjusting motor is driven as n1, marking the latest monitored multiple physiological data after the wristband tightness adjusting motor is driven as n2, wherein n1 and n2 are the same physiological data and the data quantity is the same;
step S312, calculating the average value of the two sets of dataAnd->；
Step S313, calculating standard deviations of two sets of data respectively, i.eAnd->；
Step S314, calculating an adjustment result coefficient, wherein the calculation formula is as follows:
;
wherein T is the adjustment result coefficient,represents the aggregate standard deviation of the two sets of data,representing degrees of freedom.
2. The portable telemonitoring system according to claim 1, wherein:
the operation process of the explicit factor unit comprises the following steps:
comparing the adjustment degree coefficient with the significant threshold, and generating an improvement signal if the adjustment degree coefficient is greater than or equal to the significant threshold; if the adjustment degree coefficient is smaller than the significant threshold, a closing adjustment signal is generated, and the wristband is not adjusted any more.
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