CN115068897B - Remote rehabilitation auxiliary monitoring system based on Internet - Google Patents

Remote rehabilitation auxiliary monitoring system based on Internet Download PDF

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CN115068897B
CN115068897B CN202210677904.2A CN202210677904A CN115068897B CN 115068897 B CN115068897 B CN 115068897B CN 202210677904 A CN202210677904 A CN 202210677904A CN 115068897 B CN115068897 B CN 115068897B
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CN115068897A (en
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王纪栋
尚利静
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Rongyu Technology Shenzhen Co ltd
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    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63BAPPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B23/00Exercising apparatus specially adapted for particular parts of the body
    • A63B23/035Exercising apparatus specially adapted for particular parts of the body for limbs, i.e. upper or lower limbs, e.g. simultaneously
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63BAPPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B24/00Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
    • A63B24/0087Electric or electronic controls for exercising apparatus of groups A63B21/00 - A63B23/00, e.g. controlling load
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/67ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation

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Abstract

The invention discloses an internet-based remote rehabilitation auxiliary monitoring system.A user uploads rehabilitation targets to a collection unit by means of diseases, then automatically collects all rehabilitation strategies corresponding to the rehabilitation targets, and then screens the rehabilitation strategies by means of a plan determination unit, wherein the screening processes are used for screening the rehabilitation plans, and the adaptation values Pi and the total rehabilitation time Fi are obtained again by means of age difference values Ci between the corresponding targets and the collected cases; processing the three by means of a related algorithm, selecting a rehabilitation plan suitable for a rehabilitation target, listing a recommended plan group, and then determining by a manager or an attending doctor to determine a good rehabilitation plan; then, the rehabilitation plan of the user is monitored in real time, the height condition of the user is monitored in real time, whether abnormal conditions exist or not is determined, and when the abnormal conditions exist, accompanying personnel are automatically warned to remind in time; the invention is simple, effective and easy to use.

Description

Remote rehabilitation auxiliary monitoring system based on Internet
Technical Field
The invention relates to the technical field of remote rehabilitation assistance, in particular to an internet-based remote rehabilitation auxiliary monitoring system.
Background
The patent with publication number CN104258539A discloses an old people rehabilitation and monitoring system based on virtual reality and limb action interaction, which comprises a virtual scene subsystem, a limb action acquisition device, a man-machine interaction subsystem, a health monitoring subsystem, a processor, a protection subsystem and an auxiliary training subsystem. The invention adopts a virtual reality technology and an action recognition technology, utilizes a rehabilitation training protection device and an auxiliary training device, combines organically, aims at the requirement of the limb action training of the old, achieves the aims of the exercise and the rehabilitation training of the old through an action game, simultaneously provides warning and health monitoring when the old falls down or has an accident, avoids training weariness during the exercise and the rehabilitation training of the old, and realizes the safety protection of the old.
However, the patent does not give any relevant hint for the specification of a rehabilitation plan, and at the same time, how to supervise the abnormal situation of the supervised rehabilitation target lacks an effective way, and a solution is provided based on the lack of the effective way.
Disclosure of Invention
The invention aims to provide a remote rehabilitation auxiliary monitoring system based on the Internet;
the purpose of the invention can be realized by the following technical scheme:
an Internet-based remote rehabilitation auxiliary monitoring system comprises
The disease direction collection unit is used for uploading rehabilitation targets to a user, wherein the rehabilitation targets are the sex, the age and the illness state of the corresponding patient and the content needing to be recovered, and after the rehabilitation targets are input into the user, the disease direction collection unit automatically collects all rehabilitation strategies corresponding to the rehabilitation targets, and the rehabilitation strategies comprise rehabilitation plans, audience year values, audience sex and total rehabilitation time; the rehabilitation plan is an exercise or rest plan required by rehabilitation, the audience year value is the age of the corresponding rehabilitation target, and the audience gender is the gender of the audience corresponding to the rehabilitation strategy; the disease direction collection unit is used for transmitting all rehabilitation strategies and rehabilitation targets to the plan determination unit, the plan determination unit is used for screening the rehabilitation strategies, and the screening processing mode is as follows:
the method comprises the following steps: acquiring all rehabilitation strategies, and carrying out numerical value calibration, wherein the specific mode of the numerical value calibration is as follows:
acquiring all rehabilitation plans in a rehabilitation strategy, and marking the rehabilitation plans as Ki, wherein i =1.. N;
then obtain audience year value, according to audience age and the recovered target get the age, obtain the difference between the two ages automatically, mark it as age difference Ci, i =1.. N, later carry out adaptation value according to audience sex and recovered target and mark, specifically do:
acquiring the gender of the audience and the gender of the rehabilitation target, matching, marking the matching value as 1 if the gender of the audience and the gender of the rehabilitation target are consistent, otherwise marking the matching value as 0, and marking all the matching values as Pi, i =1.. N;
then when the total rehabilitation time in the rehabilitation strategy is acquired, marking the total rehabilitation time as Fi, i =1.. N;
ki. Ci, fi and Pi are in one-to-one correspondence, and n is a positive integer;
step two: then, calculating a proper value Hi of the rehabilitation plan Ki according to Ci, fi and Pi, wherein the specific calculation formula is as follows:
Figure DEST_PATH_IMAGE001
in the formula, 0.31, 0.36 and 0.33 are all preset weights and are used for reflecting the importance of different factors, wherein alpha is a preset calibration value, and alpha is more than 1;
step three: then obtaining the suitable values Hi of all the rehabilitation plans Ki, sequencing the rehabilitation plans Ki according to the sequence from Hi to Hi, marking the rehabilitation plans Ki ranked in the first three as recommended plans, and marking all the recommended plans as recommended plan groups;
the plan determining unit is used for transmitting the recommended plan group and the accompanying information to the visual direction analyzing unit, and the visual direction analyzing unit receives the recommended plan group and the accompanying information transmitted by the plan determining unit;
and the view direction analysis unit is used for a doctor or other appointed personnel to select one recommendation plan from the recommendation plan group, modify the recommendation plan into a final plan and mark the finally determined plan as an approval plan, wherein the approval plan comprises corresponding items and time.
Further, the system also comprises a personnel collecting unit;
the person collecting unit is used for acquiring all accompanying persons existing in the target object, wherein the accompanying persons comprise family members of patients and auxiliary rehabilitation nurses, and all the accompanying persons and accompanying time thereof are marked as accompanying information; the person collecting unit is used for transmitting the accompanying information to the person planning and dividing unit, and the person planning and dividing unit is used for transmitting the accompanying information to the plan determining unit.
Further, the device also comprises a visual direction acquisition unit;
the system comprises a visual direction acquisition unit, a visual direction analysis unit and a visual direction analysis unit, wherein the visual direction acquisition unit comprises camera equipment arranged in a ward and is used for acquiring a real-time image in the ward and transmitting the real-time image to the visual direction analysis unit;
the visual direction analysis unit receives the real-time image transmitted by the visual direction acquisition unit and performs visual line analysis on the real-time image, wherein the visual line analysis specifically comprises the following steps:
the method comprises the following steps: acquiring a rehabilitation target and a verification plan;
step two: then, the rehabilitation target is supervised to exercise according to an approved plan, and if the rehabilitation target does not exercise, the user is automatically reminded;
step three: carrying out abnormity monitoring on the rehabilitation target, wherein the abnormity monitoring is carried out in a specific mode as follows:
s1: obtaining a conventional height of a rehabilitation target, and obtaining an allowed range formed by a range from a middle limit value to an upper limit height Bs;
s2: then, monitoring the height of the rehabilitation target in real time, and marking the height as the real-time height;
s3: when the real-time height is not in the allowed range, generating a preliminary early warning signal, and if the real-time height is not recovered to the allowed range within the T2 time, generating a warning signal;
the visual direction analysis unit is used for transmitting the warning signal and the accompanying information to the processor through the abnormity receiving unit, the processor is used for strongly reminding the unit, and the strongly reminding unit reminds the current accompanying person to process the abnormal condition in time according to the accompanying information.
Further, the conventional height specific obtaining manner in step S1 is:
s101: setting a non-exploration area, wherein the height of the rehabilitation target is not acquired in the area, and the non-exploration area is preset by a manager, and specifically is a sickbed or a seat and other positions;
s102: then acquiring the maximum heights of the rehabilitation targets for nearly two days every T1 time; marking it as a target high value, resulting in all target heights Bj, j =1.. M; t1 is a preset time value; m is a positive integer;
s103: then acquiring the highest value of Bj, and marking the highest value as the upper limit height Bs;
s104: then obtaining the average value of Bj, and marking the average value as P; calculating the dispersion value W of the Bj by using a formula, wherein the specific calculation formula is as follows:
Figure 593223DEST_PATH_IMAGE002
in the formula, | x | refers to an absolute value of the obtained numerical value in the parentheses;
s105: when the W value is less than or equal to X1, generating a reasonable signal, otherwise, performing the step S106 for processing;
s106: sequentially selecting the Bj values according to the mode of the values from large to small, processing the values according to the mode of the steps S104-S106 again when each value is selected until a reasonable signal is generated, calculating the average value of the residual Bj when the reasonable signal is generated, and marking the average value as a middle limit value;
s107: the range from the middle limit value to the upper limit height Bs is marked as an allowed range.
Further, the processor is used for stamping a time stamp on the warning signal and transmitting the warning signal to the storage unit, and the storage unit receives the warning signal with the time stamp transmitted by the processor and stores the warning signal in real time.
Further, the device also comprises a management unit;
the management unit is in communication connection with the processor and is used for recording all preset values.
The invention has the beneficial effects that:
according to the method, the user uploads the rehabilitation targets to the collection unit by virtue of diseases, then all rehabilitation strategies corresponding to the rehabilitation targets are automatically collected, the rehabilitation strategies are screened by virtue of the plan determination unit again, the rehabilitation plans are screened by virtue of the screening, and the adaptive value Pi and the total rehabilitation time Fi are obtained again by virtue of the age difference Ci between the corresponding targets and the collected cases; processing the three by means of a related algorithm, selecting a rehabilitation plan suitable for a rehabilitation target, listing a recommended plan group, and then determining by a manager or an attending doctor to determine a good rehabilitation plan;
then, the rehabilitation plan of the user is monitored in real time, the height condition of the user is monitored in real time, whether abnormal conditions exist or not is determined, and when the abnormal conditions exist, accompanying personnel are automatically warned to remind in time; the invention is simple, effective and easy to use.
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The invention will be further described with reference to the accompanying drawings.
Fig. 1 is a schematic view of the overall structure of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious 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, the present invention relates to an internet-based remote rehabilitation assistant monitoring system, which comprises
The system comprises a person collection unit, a person collection unit and a management unit, wherein the person collection unit is used for acquiring all accompanying persons existing in a target object, the accompanying persons comprise family members of patients and auxiliary rehabilitation nurses, and all accompanying persons and accompanying time thereof are marked as accompanying information; the personnel collecting unit is used for transmitting the accompanying information to the personnel planning and dividing unit, and the personnel planning and dividing unit is used for transmitting the accompanying information to the plan determining unit;
the rehabilitation strategy acquisition unit is used for automatically acquiring all rehabilitation strategies corresponding to the rehabilitation targets after the rehabilitation targets are input by the user, and the rehabilitation strategies comprise rehabilitation plans, audience year values, audience sexes and total rehabilitation time; the rehabilitation plan is an exercise or rest plan required by rehabilitation, the audience year value is the age of the corresponding rehabilitation target, and the audience gender is the gender of the audience corresponding to the rehabilitation strategy; the disease direction collection unit is used for transmitting all rehabilitation strategies and rehabilitation targets to the plan determination unit, the plan determination unit is used for screening the rehabilitation strategies, and the screening processing mode is as follows:
the method comprises the following steps: acquiring all rehabilitation strategies, and carrying out numerical value calibration, wherein the specific mode of the numerical value calibration is as follows:
acquiring all rehabilitation plans in a rehabilitation strategy, and marking the rehabilitation plans as Ki, wherein i =1.. N;
then, acquiring an audience age value, automatically acquiring the age difference between the audience age and the rehabilitation target according to the age of the audience and the age of the rehabilitation target, marking the age difference as an age difference value Ci, i =1.. N, and then calibrating an adaptive value according to the gender of the audience and the rehabilitation target, wherein the method specifically comprises the following steps:
acquiring the gender of the audience and the gender of the rehabilitation target, matching, marking the matching value as 1 if the gender of the audience and the gender of the rehabilitation target are consistent, otherwise marking the matching value as 0, and marking all the matching values as Pi, i =1.. N;
when a total rehabilitation in the rehabilitation strategy is obtained later, the total rehabilitation strategy is marked as Fi, i =1.. N;
ki. Ci, fi and Pi are in one-to-one correspondence, and n is a positive integer;
step two: then, calculating a proper value Hi of the rehabilitation plan Ki according to Ci, fi and Pi, wherein the specific calculation formula is as follows:
Figure 107381DEST_PATH_IMAGE001
in the formula, 0.31, 0.36 and 0.33 are all preset weights and are used for reflecting the importance of different factors, wherein alpha is a preset calibration value, and alpha is more than 1;
step three: then obtaining the suitable values Hi of all the rehabilitation plans Ki, sequencing the rehabilitation plans Ki according to the sequence from Hi to Hi, marking the rehabilitation plans Ki ranked in the first three as recommended plans, and marking all the recommended plans as recommended plan groups;
the plan determining unit is used for transmitting the recommended plan group and the accompanying information to the visual direction analyzing unit, and the visual direction analyzing unit receives the recommended plan group and the accompanying information transmitted by the plan determining unit;
the view direction analysis unit is used for a doctor or other appointed personnel to select a recommendation plan from the recommendation plan group, modify the recommendation plan into a final plan, and mark the finally determined plan as an approval plan, wherein the approval plan comprises corresponding items and time;
the system also comprises a visual direction acquisition unit, wherein the visual direction acquisition unit comprises camera equipment arranged in the ward and is used for acquiring a real-time image in the ward and transmitting the real-time image to a visual direction analysis unit;
the visual direction analysis unit receives the real-time image transmitted by the visual direction acquisition unit and performs visual line analysis on the real-time image, wherein the visual line analysis specifically comprises the following steps:
the method comprises the following steps: acquiring a rehabilitation target and a verification plan;
step two: then, the rehabilitation target is supervised to exercise according to a approved plan, and if the rehabilitation target does not exercise, the rehabilitation target is automatically reminded;
step three: carrying out abnormity monitoring on the rehabilitation target, wherein the abnormity monitoring is carried out in a specific mode as follows:
s1: obtaining the conventional height of the rehabilitation target, wherein the specific obtaining mode of the conventional height is as follows:
s101: setting a non-exploration area, wherein the height of the rehabilitation target is not acquired in the area, and the non-exploration area is preset by a manager, and specifically is a sickbed or a seat and other positions;
s102: then, acquiring the highest height of the rehabilitation target for nearly two days every T1 time, wherein the height is the height from the hair to the sole of the foot of the user, and converting the height according to the mode between the pixel point and the distance; marking it as a target high value, resulting in all target heights Bj, j =1.. M; t1 is a preset time value; m is a positive integer;
s103: then acquiring the highest value of Bj, and marking the highest value as the upper limit height Bs;
s104: then obtaining the average value of Bj, and marking the average value as P; calculating the dispersion value W of the Bj by using a formula, wherein the specific calculation formula is as follows:
Figure 237011DEST_PATH_IMAGE002
in the formula, | x | refers to an absolute value of the obtained numerical value in the parentheses;
s105: when the W value is less than or equal to X1, generating a reasonable signal, otherwise, performing the step S106 for processing;
s106: sequentially selecting the Bj values according to the mode of the values from large to small, processing the values according to the mode of the steps S104-S106 again when each value is selected until a reasonable signal is generated, calculating the average value of the residual Bj when the reasonable signal is generated, and marking the average value as a middle limit value;
s107: marking the range from the middle limit value to the upper limit height Bs as an allowed range;
s2: then, monitoring the height of the rehabilitation target in real time, and marking the height as the real-time height;
s3: when the real-time height is not in the allowed range, generating a preliminary early warning signal, and if the real-time height is not recovered to the allowed range within the T2 time, generating a warning signal;
the visual direction analysis unit is used for transmitting the warning signal and the accompanying information to the processor through the abnormity receiving unit, the processor is used for reminding a current attendant to deal with the abnormal condition in time through the strong reminding unit, and the strong reminding unit reminds the current attendant to deal with the abnormal condition in time according to the accompanying information;
the processor is used for stamping a time stamp on the warning signal and transmitting the warning signal to the storage unit, and the storage unit receives the warning signal with the time stamp transmitted by the processor and stores the warning signal in real time;
the management unit is in communication connection with the processor and is used for recording all preset values.
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. A remote rehabilitation auxiliary monitoring system based on the Internet is characterized by comprising
The disease direction collection unit is used for uploading rehabilitation targets to a user, wherein the rehabilitation targets are the sex, the age, the illness state and the content needing to be recovered of the corresponding patient, and after the rehabilitation targets are input into the user, the disease direction collection unit automatically collects all rehabilitation strategies corresponding to the rehabilitation targets, and the rehabilitation strategies comprise rehabilitation plans, audience year values, audience sex and total rehabilitation time; the rehabilitation plan is an exercise or rest plan required by rehabilitation, the audience year value is the age of the corresponding rehabilitation target, and the audience gender is the gender of the audience corresponding to the rehabilitation strategy; the disease direction collection unit is used for transmitting all rehabilitation strategies and rehabilitation targets to the plan determination unit, the plan determination unit is used for screening the rehabilitation strategies, and the screening treatment is specifically as follows:
the method comprises the following steps: acquiring all rehabilitation strategies, and carrying out numerical value calibration, wherein the specific mode of the numerical value calibration is as follows:
acquiring all rehabilitation plans in the rehabilitation strategy, and marking the rehabilitation plans as Ki, i =1, 8230n;
then obtain audience age value, according to audience age and recovered standard's age, obtain the age difference of the two automatically, mark it as age difference Ci, i =1 \8230n, later according to audience sex and recovered standard carry out the calibration of adaptation value, specifically do:
acquiring the gender of an audience and the gender of a rehabilitation target, matching, marking the matching value to be 1 if the gender of the audience and the gender of the rehabilitation target are consistent, otherwise marking the matching value to be 0, and marking all the matching values to be Pi, i =1 \ 8230n;
then, when the total rehabilitation in the rehabilitation strategy is obtained, the total rehabilitation is marked as Fi, i =1 \ 8230n;
ki. Ci, fi and Pi are in one-to-one correspondence, and n is a positive integer;
step two: then, calculating a proper value Hi of the rehabilitation plan Ki according to Ci, fi and Pi, wherein the specific calculation formula is as follows:
Figure QLYQS_1
in the formula, 0.31, 0.36 and 0.33 are all preset weights and are used for reflecting the importance of different factors, wherein alpha is a preset calibration value, and alpha is more than 1;
step three: then, acquiring the suitable values Hi of all the rehabilitation plans Ki, sequencing the rehabilitation plans Ki according to the sequence from Hi to Hi, marking the rehabilitation plans Ki ranked in the first three as recommendation plans, and marking all the recommendation plans as recommendation plan groups;
the plan determining unit is used for transmitting the recommended plan group and the accompanying information to the visual direction analyzing unit, and the visual direction analyzing unit receives the recommended plan group and the accompanying information transmitted by the plan determining unit;
the view direction analysis unit is used for selecting a recommendation plan from the recommendation plan group by a doctor or other designated personnel, modifying the recommendation plan into a final plan, marking the final plan as an approval plan, and the approval plan comprises corresponding items and time;
the device also comprises a visual direction acquisition unit;
the system comprises a visual direction acquisition unit, a visual direction analysis unit and a visual direction analysis unit, wherein the visual direction acquisition unit comprises camera equipment arranged in a ward and is used for acquiring a real-time image in the ward and transmitting the real-time image to the visual direction analysis unit;
the visual direction analysis unit receives the real-time image transmitted by the visual direction acquisition unit and performs visual line analysis on the real-time image, wherein the visual line analysis specifically comprises the following steps:
step 1): acquiring a rehabilitation target and a verification plan;
step 2): then, the rehabilitation target is supervised to exercise according to a approved plan, and if the rehabilitation target does not exercise, the rehabilitation target is automatically reminded;
step 3): carrying out abnormity monitoring on the rehabilitation target, wherein the abnormity monitoring is carried out in a specific mode as follows:
s1: acquiring a conventional height of a rehabilitation target, and acquiring an allowed range formed by a range from a middle limit value to an upper limit height Bs;
s2: then, the height of the rehabilitation target is monitored in real time and marked as the real-time height;
s3: when the real-time height is not in the allowable range, generating a preliminary early warning signal, and if the real-time height is not recovered to the allowable range within T2 time, generating a warning signal;
the visual direction analysis unit is used for transmitting the warning signal and the accompanying information to the processor through the abnormity receiving unit, the processor is used for strongly reminding the unit, and the strongly reminding unit reminds the current accompanying person to process the abnormal condition in time according to the accompanying information.
2. The internet-based remote rehabilitation assistant monitoring system according to claim 1, further comprising a people collecting unit;
the person collecting unit is used for acquiring all accompanying persons existing in the target object, wherein the accompanying persons comprise family members of patients and auxiliary rehabilitation nurses, and all the accompanying persons and accompanying time thereof are marked as accompanying information; the person collecting unit is used for transmitting the accompanying information to the person planning and dividing unit, and the person planning and dividing unit is used for transmitting the accompanying information to the plan determining unit.
3. The internet-based remote rehabilitation assistant monitoring system according to claim 1, wherein the general height specific acquisition manner in step S1 is as follows:
s101: setting a non-exploration area, wherein the height of the rehabilitation target is not acquired in the area, and the non-exploration area is preset by a manager, and is specifically a sickbed or a chair;
s102: then acquiring the highest height of the rehabilitation target for two days every T1 time; marking the height as a target height value to obtain all target heights Bj, j =1 \ 8230m; t1 is a preset time value; m is a positive integer;
s103: then acquiring the highest value of Bj, and marking the highest value as the upper limit height Bs;
s104: then acquiring the mean value of the Bj, and marking the mean value as P; calculating the dispersion value W of the Bj by using a formula, wherein the specific calculation formula is as follows:
Figure QLYQS_2
in the formula, | x | refers to an absolute value of the obtained numerical value in the parentheses;
s105: when the W value is less than or equal to X1, generating a reasonable signal, otherwise, performing the step S106 for processing;
s106: sequentially selecting the Bj values according to the mode of the values from large to small, processing the values according to the mode of the steps S104-S106 again when each value is selected until a reasonable signal is generated, calculating the average value of the residual Bj when the reasonable signal is generated, and marking the average value as a middle limit value;
s107: the range from the middle limit value to the upper limit height Bs is marked as an allowed range.
4. The internet-based remote rehabilitation assistant monitoring system of claim 1, wherein the processor is configured to timestamp the alarm signal and transmit the timestamp to the storage unit, and the storage unit receives the timestamp-carrying alarm signal transmitted by the processor and stores the timestamp-carrying alarm signal in real time.
5. The internet-based remote rehabilitation assistant monitoring system according to claim 1, further comprising a management unit;
the management unit is in communication connection with the processor and is used for recording all preset numerical values.
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