CN115517663A

CN115517663A - Method and system for multi-dimensional evaluation of falling risk of people

Info

Publication number: CN115517663A
Application number: CN202211133730.XA
Authority: CN
Inventors: 刘素敏; 许明明; 刘群; 刘兴玲; 张俊峰; 刘齐芬; 陈凤莲; 黎月娥
Original assignee: Dongguan Songshanhu Central Hospital Dongguan Shilong People's Hospital Dongguan Third People's Hospital Dongguan Cardiovascular Disease Research Institute
Current assignee: Dongguan Songshanhu Central Hospital Dongguan Shilong People's Hospital Dongguan Third People's Hospital Dongguan Cardiovascular Disease Research Institute
Priority date: 2022-09-15
Filing date: 2022-09-15
Publication date: 2022-12-27

Abstract

The invention discloses a method and a system for multi-dimensionally evaluating falling risks of people, wherein the method comprises the following steps: acquiring the times of a person to be detected continuously completing sitting-up actions on a seat within a preset time period to obtain a first parameter value; acquiring the time for a person to be tested to come and go a preset distance after standing up from the seat and sit down to obtain a second parameter value; cumulatively recording the holding time of the person to be tested in a plurality of preset characteristic actions to obtain a third parameter value; carrying out data processing on the first parameter value, the second parameter value and the third parameter value through a falling risk judgment model so as to output a falling risk; by the method, the physical condition of the person to be measured is evaluated from three different dimensions respectively, and the three measured parameter values are processed through the intelligent model, so that the falling risk is given quickly, the accuracy of falling risk evaluation is effectively improved, and in the evaluation process, no special requirements are required on experience and skill of an evaluator, so that the consistency of evaluation results is effectively ensured.

Description

Method and system for multi-dimensionally evaluating falling risk of person

Technical Field

The invention relates to the technical field of health assessment, in particular to a method and a system for multi-dimensionally assessing a falling risk of a person.

Background

For the elderly, accidental falls can cause serious physical injury and even become the leading cause of death. Except for objective environmental factors, the reason why the old people easily fall down generally comes from the physical conditions of the old people, especially some recessive reasons, and the old people cannot be accurately judged through medical instruments. Therefore, nowadays, in general, the fall risk in the next year is clinically evaluated in a periodic evaluation manner, and when the evaluated fall risk is relatively high, an intervention measure can be taken in time to prevent the occurrence of a fall accident. However, for the current evaluation strategy, the fall risk of the elderly is generally evaluated only from a single dimension, and in the evaluation process, a professional physician needs to participate and rely on the experience of the physician to give an evaluation result, so that the evaluation result is not only low in referenceability, but also high in requirement on the level of an evaluator, and is inconvenient to popularize widely.

Disclosure of Invention

The invention aims to provide a method and a system for evaluating the falling risk of a person to be measured from multiple dimensions, and the method and the system for evaluating the falling risk of the person to be measured from multiple dimensions improve the consistency of evaluation results.

In order to achieve the above object, the present invention discloses a method for multidimensional assessment of a fall risk of a person, comprising;

acquiring the number of times of a person to be tested continuously completing sitting-up actions on the seat within a preset time period to obtain a first parameter value;

acquiring the time for a person to be tested to come and go a preset distance after standing up from the seat and sit down to obtain a second parameter value;

providing a plurality of groups of characteristic actions which represent standing balance of a person and have different difficulty coefficients respectively;

starting from the characteristic action with low difficulty coefficient, when the person to be tested makes the current characteristic action, cumulatively recording the holding time of the person to be tested in the characteristic action to obtain a third parameter value;

and performing data processing on the first parameter value, the second parameter value and the third parameter value through a falling risk judgment model to output a falling risk.

Preferably, the method for processing parameter data by the fall risk judging model comprises:

when the first parameter value is less than a first threshold, or the second parameter value is greater than a second threshold, or the third parameter value is less than a third threshold, outputting a first value representing a higher risk of falling;

when the first parameter value is greater than or equal to a first threshold value, and the second parameter value is less than or equal to a second threshold value, and the third parameter value is greater than or equal to a third threshold value, outputting a second value representing a lower risk of falling.

Preferably, the characteristic actions include standing with the feet with a first difficulty factor side-by-side, standing with the feet with a second difficulty factor offset front to back, standing with the feet with a third difficulty factor side-by-side, and standing with the feet with a fourth difficulty factor alternating with one foot.

Preferably, a first pressure sensor is arranged on the supporting seat surface of the seat, and whether the person to be measured leaves the supporting seat surface of the seat is judged through the feedback of the first pressure sensor;

the seat is also provided with an armrest, and the armrest is provided with a second pressure sensor; and in the process of acquiring the first parameter value, when the feedback of the second pressure sensor exceeds a preset value, stopping the detection of the current item, and taking the number of times of finishing the sitting-up action recorded currently as the first parameter value.

Preferably, the method for obtaining the second parameter value includes:

a first test pad with a preset length is arranged in front of the seat, the first test pad provides a reciprocating walking channel for a person to be tested, a plurality of third pressure sensors are arranged on the first test pad, the third pressure sensors are uniformly distributed on the first test pad in a lattice shape, and a position coordinate point is marked for each third pressure sensor; and recording the starting time point and the ending time point of the person to be tested on the first test mat according to the feedback of the first pressure sensor on the seat and the feedback of the third pressure sensors on the first test mat so as to obtain the second parameter value, generating current gait information data of the person to be tested according to the feedback of the third pressure sensors and the position coordinate point of the third pressure sensors, and processing the gait information according to a gait disorder model so as to obtain the gait disorder condition data of the person to be tested.

Preferably, the method for obtaining the third parameter value includes:

providing a second test pad, wherein a fourth pressure sensor and a station mark corresponding to each characteristic action are arranged on the second test pad;

recording the starting time and the ending time of each characteristic action through the feedback of the fourth pressure sensor, or obtaining the holding time;

for any current characteristic action, if the retention time is smaller than a preset value, stopping testing the characteristic action with higher difficulty coefficient;

and cumulatively calculating the retention time of each characteristic action currently completed by the testee to obtain the third parameter value.

The invention also discloses a system for multi-dimensionally evaluating the falling risk of a person, which comprises the following components:

the first parameter acquisition module is used for acquiring a first parameter value, wherein the first parameter value is the frequency of the person to be measured continuously completing the sitting-up action on the seat within a preset time period;

the second parameter acquisition module is used for acquiring a second parameter value, wherein the second parameter value is the time for a person to be measured to come and go a preset distance after the person to be measured stands up from the seat and sit down;

the third parameter acquisition module is used for acquiring a third parameter value, wherein the third parameter value is the accumulated holding time of the person to be detected in a plurality of groups of characteristic actions, and the plurality of groups of characteristic actions embody the standing balance of the person and respectively have different difficulty coefficients;

a fall risk determination model for performing data processing on the first parameter value, the second parameter value, and the third parameter value to output a fall risk.

Preferably, the fall risk judgment model is provided with a first judgment module, a second judgment module, a third judgment module and a confirmation module;

the first judging module is used for judging the sizes of the first parameter value and the first threshold value;

the second judging module is used for judging the size of the second parameter value and a second threshold value;

the third judging module is configured to judge the magnitude of the third parameter value and a third threshold;

the recognition module is configured to output a first value representing a higher fall risk according to feedback of any one of the first determination module, the second determination module, and the third determination module; and the number of the first and second groups,

and outputting a second value representing a lower falling risk according to the common feedback of the first judging module, the second judging module and the third judging module.

Preferably, a first pressure sensor is arranged on the supporting seat surface of the seat, and whether the person to be measured leaves the supporting seat surface of the seat is judged through the feedback of the first pressure sensor; the seat is further provided with an armrest, and a second pressure sensor is arranged on the armrest.

Preferably, the test device further comprises a first test pad for obtaining a second parameter value and a second test pad for obtaining the third parameter value; the first test pad provides a reciprocating walking channel for a person to be tested, a plurality of third pressure sensors are arranged on the first test pad, the third pressure sensors are uniformly distributed on the first test pad in a lattice shape, and a position coordinate point is marked for each third pressure sensor; and a fourth pressure sensor and a station mark corresponding to each characteristic action are arranged on the second test pad.

Compared with the prior art, according to the technical scheme, a first parameter value reflecting the sitting up ability of the person to be tested is obtained through the sitting up test, a second parameter value reflecting the walking ability of the person to be tested is obtained through the walking test, a third parameter value reflecting the balancing ability of the person to be tested is obtained through the multi-stage balancing test, and the three parameter values are processed through the falling risk judgment model so as to output the falling risk of the current person to be tested; therefore, according to the technical scheme, the physical conditions of the person to be measured are evaluated from three different dimensions respectively, the three measured parameter values are processed through the intelligent model, the falling risk is given quickly, the accuracy of falling risk evaluation is effectively improved, and in the evaluation process, no special requirements are required on experience and skills of an evaluator, so that the consistency of evaluation results is effectively ensured.

Drawings

Fig. 1 is a flowchart of a method for multi-dimensionally assessing a fall risk of a person according to an embodiment of the present invention.

Fig. 2 is a logic diagram of processing parameter data by a fall risk determination model according to an embodiment of the invention.

Fig. 3 is another logic diagram of the fall risk determination model processing parameter data according to the embodiment of the present invention.

Fig. 4 is a perspective view of a seat according to an embodiment of the present invention.

Fig. 5 is a perspective view of the sheath according to the embodiment of the present invention.

Fig. 6 is a perspective view of a first test pad according to an embodiment of the invention.

Fig. 7 is a perspective view of a second test pad according to an embodiment of the invention.

FIG. 8 is a view of a station mark shown on the second test pad of FIG. 7.

Fig. 9 is another station mark shown on the second test pad of fig. 7.

Fig. 10 is another station mark shown on the second test pad of fig. 7.

FIG. 11 is another station mark shown on the second test pad of FIG. 7.

Fig. 12 is a block diagram of a system for multi-dimensionally evaluating a fall risk of a person according to an embodiment of the present invention.

Fig. 13 is a schematic structural diagram of a fall risk determination model in an embodiment of the invention.

Detailed Description

In order to explain technical contents, structural features, and objects and effects of the present invention in detail, the following detailed description is given with reference to the accompanying drawings in conjunction with the embodiments.

The embodiment discloses a method for evaluating the falling risk of a person in multiple dimensions, which is used for evaluating the current falling risk degree of the person to be tested, particularly evaluating the elderly and patients who are treated by rehabilitation therapy, and taking a targeted countermeasure for the person to be tested according to an evaluation result to avoid falling accidents. As shown in fig. 1 and 4, the method includes the steps of:

and SA: providing a seat 1 for providing a sitting posture for a person to be tested, and acquiring the number n of times that the person to be tested continuously finishes sitting up on the seat 1 in a preset time period so as to obtain a first parameter value.

SB: and acquiring the time t1 for the person to be tested to come and go a preset distance after standing up from the seat 1 and sit down so as to obtain a second parameter value.

SC: and providing a plurality of groups of characteristic actions which represent the standing balance of the person and have different difficulty coefficients respectively, starting from the characteristic action with a low difficulty coefficient, and accumulating and recording the retention time of the person to be tested in the characteristic actions when the person to be tested makes the current characteristic action so as to obtain a third parameter value t2.

SD: and performing data processing on the first parameter value (n), the second parameter value (t 1) and the third parameter value (t 2) through a falling risk judgment model to output a falling risk. The fall risk determination model in this embodiment is a mathematical model that is created in advance and has the first parameter value (n), the second parameter value (t 1), and the third parameter value (t 2) as input parameters, and the mathematical model may be a mathematical relationship model or a network model. In addition, the specific creation mode of the fall risk judgment model belongs to the mature technology in the field, and is not described herein again.

Specifically, in the test process, a voice broadcaster can be used to instruct the testee to perform each action in order, including the start, middle, and end of the action.

For the sit-up test in the above step SA for evaluating the leg strength and endurance of the subject, the preset time is 30 seconds. At the beginning, let the person to be measured sit well in the middle of seat 1 in advance, keep the back straight, both feet are kept flat on ground, both hands are alternately placed in the opposite side shoulder in front of the chest respectively, both arms paste in the chest. After the voice broadcaster broadcasts the 'start' password, the person to be tested stands up from the seat 1, sits down after standing up completely to complete the first action once, and repeats the first action within 30s, the posture of the arm is kept unchanged as much as possible in the process, and when the preset time of 30s is up, the voice broadcaster broadcasts the 'stop' password. In addition, in the test process, whether the person to be tested completes the first action or not is automatically detected through the electronic sensor, and after the person to be tested completes the first action once, the times of completing the sitting-up action once are automatically accumulated and recorded.

For the walking test in the step SB, the movement ability of the testee is evaluated, and the testee may use walking assistance equipment (e.g., a walking frame, a walking aid, a walking stick, etc.) during the test. When beginning, let the person of awaiting measuring sit on seat 1, after the voice broadcast ware reported "start" instruction, the person of awaiting measuring stood up from seat 1 after walking to the terminal point that has the walking passageway of default distance (3 m), then turned round and return seat 1 and sit down, accomplished the second action. And when the second action is finished, recording the time taken by the person to be tested to finish the second action.

For the balance test in the above step SC, the static balance capability of the testee is evaluated. Four groups of characteristic actions are arranged in the embodiment and respectively correspond to four standing postures, and the difficulty coefficient is increased one by one, so that the test process comprises four stages. Specifically, the four characteristic actions are respectively: as shown in fig. 8, a characteristic action a with a first difficulty coefficient at the first stage requires that two feet of a person to be measured stand close to each other in parallel; as shown in fig. 9, the characteristic action b with the second difficulty coefficient in the second stage requires that the two feet of the person to be measured stand in a front-back staggered manner, that is, the instep of one foot is next to the big toe of the other foot; as shown in fig. 10, at the third stage, a characteristic action c with a second difficulty coefficient is required, where the two feet of the person to be measured are placed in line next to each other, that is, one foot is placed in front of the other foot, and the heel of the front foot is next to the toe of the back foot; referring to fig. 11, a characteristic action d with a fourth difficulty coefficient at the fourth stage requires the subject to stand with one foot on the left and right feet alternately. In the four-stage balance test process, after the testee makes corresponding characteristic actions according to the requirements, timing is started, when the preset standard time (such as 10 s) is kept, the testee is prompted to stop, then the next stage of characteristic actions is started, and the keeping time of the characteristic actions is accumulated and recorded in the next stage. In addition, because the difficulty coefficient of the characteristic action in the four stages is gradually increased, for any characteristic action, if the protection time of the testee does not meet the standard time, the holding time of the testee under the action is recorded, and the testee is prompted to finish the four-stage balance test, namely the test of the characteristic action with higher difficulty coefficient in the next stage is not started any more. For example, in the first stage, the testee keeps 10s in the characteristic action a, the testee is prompted to perform the test of the characteristic action b in the second stage, when the testee only keeps 8s in the characteristic action b, the keeping time of the testee is recorded as 18s, that is, the third parameter value is 18s, and the testee is reminded to end the current four-stage balance test.

Based on the assessment method, a first parameter value reflecting the sitting up ability of the person to be tested is obtained through a sitting up test, a second parameter value reflecting the walking ability of the person to be tested is obtained through a walking test, a third parameter value reflecting the balancing ability of the person to be tested is obtained through a multi-stage balancing test, and the three parameter values are processed through a falling risk judgment model so as to output the falling risk of the current person to be tested. Therefore, the evaluation method evaluates the physical condition of the person to be evaluated from three different dimensions respectively, and processes the three measured parameter values through the intelligent model, so that the falling risk is given quickly, the accuracy of the falling risk evaluation is effectively improved, and in the evaluation process, no special requirements are required on the experience and skill of an evaluator, so that the consistency of the evaluation result is effectively ensured.

Optionally, a specific method for processing parameter data by the fall risk judgment model includes:

as shown in fig. 2, the first value representing a higher risk of falling is output when the first parameter value is smaller than the first threshold value, or the second parameter value is larger than the second threshold value, or the third parameter value is smaller than the third threshold value. That is, when any one of the first parameter value, the second parameter value and the third parameter value indicates that the current person to be tested has a high fall risk, the first value is output.

As in fig. 3, when the first parameter value is greater than or equal to the first threshold value, the second parameter value is less than or equal to the second threshold value, and the third parameter value is greater than or equal to the third threshold value, a second value representing a lower risk of falling is output. That is, when each of the first parameter value, the second parameter value, and the third parameter value indicates that the current person under test is at a lower risk of falling, the second value is output.

In addition, in this embodiment, the expression form of the first value and the second value is not limited, and may be a numerical type or a symbolic type, for example.

Specifically, as shown in table 1 below, testees of different age stages and different sexes apply different first thresholds within a 30s period.

TABLE 1

Further, during actual measurement, the steps SA, SB, and SC may be repeated to obtain multiple sets of test data, and the first parameter value, the second parameter value, and the third parameter value in the multiple sets of test data are sorted respectively. Then, the largest one of the plurality of first parameter values is set as an analysis target, the smallest one of the plurality of second parameter values is set as an analysis target, and the largest one of the plurality of third parameter values is set as an analysis target.

Alternatively, as shown in fig. 4, a first pressure sensor (not shown) is disposed on the supporting seat surface 11 of the seat 1, and whether the person to be measured leaves the supporting seat surface 11 of the seat 1 is determined through feedback of the first pressure sensor. Therefore, in the sitting-up test in the step SA, when the person to be tested sits on the seat 1, the pressure value fed back by the first pressure sensor exceeds the preset value, and after the person to be tested stands up, the pressure value fed back by the first pressure sensor returns to be below the preset value, so that in the actual measurement process, whether the person to be tested leaves the supporting seat surface 11 of the seat 1 can be detected according to the comparison between the magnitude of the pressure value fed back by the first pressure sensor and the preset value. Further, the time may be plotted on the abscissa and the data fed back from the first pressure sensor may be plotted on the ordinate to form a pressure change curve, which is a wavy line formed by a plurality of continuously connected "U" shapes, and the number of times of the sitting-up action (n) may be sequentially counted from 0 second to 30 seconds based on the number of "U" shapes of the pressure change curve.

Further, as shown in fig. 4 and 5, the seat 1 is further provided with an armrest 10, and the armrest 10 is provided with a second pressure sensor 13. Specifically, a sheath 12 detachably connected to the armrest 10 is provided, and the second pressure sensor 13 is mounted on the sheath 12. In this embodiment, the sheath 12 is a C-shaped clamp, which is convenient to disassemble and assemble.

In the process of obtaining the first parameter value by performing the walking test, when the feedback of the second pressure sensor 13 exceeds the preset value, the detection of the current item is stopped, the sitting-up action is invalid, and the currently recorded times of completing the sitting-up action is taken as the first parameter value. In this embodiment, when the pressure value fed back by the second pressure sensor 13 exceeds the preset value, it indicates that the person to be measured does not have the ability to autonomously complete the sitting up by holding the armrest 10 with the hand, and stops the continuation of the current sitting up test, and uses the currently recorded number of times of the effective sitting up action as the first parameter value. Specifically, in the test process, when the first pressure sensor detects that the person to be tested completes the sitting-up action, the pressure value fed back by the second pressure sensor 13 is used for judging whether the current sitting-up action is effective. For convenient recording, the time is still taken as the abscissa, the pressure data fed back by the second sensor on the handrail 10 is taken as the ordinate, a pressure change curve is drawn, and if the person to be measured does not support the handrail 10 to stand up by means of arm strength, the pressure change curve is a horizontal straight line; if the person to be tested props the handrail 10 to stand up by means of arm strength, then the pressure change curve is the curve of falling "V" of corresponding time, and in the test process, if the pressure change curve appears falling "V" shape in 30 seconds, then stop the test immediately, the voice broadcast ware reports the password of "stopping", and this time of the action of sitting up is invalid.

Further, as shown in fig. 4 and fig. 6, the method for obtaining the second parameter value includes:

the first test pad 2 with the preset length is arranged in front of the seat 1, the first test pad 2 provides a reciprocating walking channel for a person to be tested, the first test pad 2 is provided with a plurality of third pressure sensors 20, the third pressure sensors 20 are uniformly distributed on the first test pad 2 in a dot matrix shape, and position coordinate points are marked for each third pressure sensor 20. And recording the starting time point and the ending time point of the person to be tested on the first test mat 2 according to the feedback of the first pressure sensor on the seat 1 and the feedback of the plurality of third pressure sensors 20 on the first test mat 2 to obtain a second parameter value, generating gait information data of the current person to be tested according to the feedback of the third pressure sensors 20 and the position coordinate point of the third pressure sensors 20, and processing the gait information according to the gait disorder model to obtain the gait disorder condition data of the person to be tested.

In this embodiment, because a plurality of third pressure sensors 20 are arranged in a lattice shape on the first test pad 2, and a position coordinate point is marked for each pressure sensor, during the walking test, when the pressure value fed back by the first pressure sensor is smaller than the preset value, it indicates that the person to be tested stands up from the seat 1, the start time point is recorded, then, the walking path of the person to be tested is recorded through the pressure feedback of the third pressure sensors 20 at the start end and the tail end of the first test pad 2, when the person to be tested is judged to return to the start end of the first test pad 2 through the third pressure sensors 20, and when the person to be tested sits back to the seat 1 through the first pressure sensors, the end time point is recorded, thereby calculating the time for the person to be tested to complete the walking test, and obtaining the second parameter value. In addition, in the process that the person to be tested walks along the first test pad 2, the gait information data of the current person to be tested is generated through the pressure change of the third pressure sensors 20 at all positions, and then the gait information is processed according to the gait obstacle model to obtain the gait obstacle condition data of the person to be tested.

It should be noted that, the gait disturbance model in this embodiment is designed according to the Tinetti gait scale, and the scores of the starting condition, the long distance between the left and right footsteps, the gait symmetry, the gait continuity, the step width distance, and the walking path of the subject are determined, and the lower the score is, the more obvious the gait disturbance is.

More specifically, the specific process of processing the pressure values fed back by the third pressure sensor 20 at different positions on the first test pad 2 to obtain gait information is as follows:

firstly, acquiring and storing the pressure value of each third pressure sensor 20 on the first test pad 2 according to a time sequence;

then, based on the coordinate data of each third pressure sensor 20, a pressure change heat map (the pressure can be represented by different colors, the color depth represents the pressure value, the deeper the color, the larger the pressure value, and the lighter the color, the smaller the pressure value) which changes with time is drawn, and based on all the pressure change heat maps of each third pressure sensor 20 when the person to be tested walks on the first test pad 2, the starting time of the person to be tested when the person to be tested walks on the first test pad 2 is obtained through calculation and analysis. The starting time is a maintaining time in which the pressure value is greater than the preset value according to the feedback of the third pressure sensor 20, if the starting time is greater than or equal to the preset value, for example, 3s, it can be determined that the current person to be tested is in doubt when starting, and a first state value (for example, 0) representing starting state information is obtained, and if the starting time is less than the preset value, it can be determined that the current person to be tested is not in doubt when starting, and a second state value (for example, 1) representing starting state information is obtained.

Next, based on the generated pressure change heat map, the foot print distribution and the pressure magnitude of the foot print are extracted, a foot print image is generated, and the foot print image is analyzed based on an algorithm, thereby calculating gait information of the person to be measured, such as a step length (left foot and right foot), a step width (separation distance between both heels), a barycentric coordinate, gait symmetry (whether the step lengths of both feet are equal), gait continuity (whether the step is continuous with the step) and a walking path.

For the pressure change Heatmaps (Heatmaps) in the above embodiments, the data is visualized with color changes by regularly mapping the values in the data matrix of pressure values to color representations. The method comprises the steps that a plurality of pressure change heat maps can be drawn by each pressure monitoring point along with the change of time, a plurality of pressure change heat maps are integrated along with the time, foot print images can be obtained through the change of colors, various gait information can be obtained through analysis of color depths, foot print sizes, foot print distribution positions, foot print gravity center conditions and the like of a plurality of foot print images on a first test point pad, and score values are used for quantitative calculation.

The foot length calculation method comprises the following steps:

based on the plurality of foot print images, foot print pressure data display time and scale drawn above, foot print images of the left foot and the right foot are obtained by the image analyzing processor, and the length of a single foot print image is calculated based on the scale and recorded as the foot length (distinguishing the left foot from the right foot).

The step length calculation method comprises the following steps:

based on the plurality of foot print images and foot print pressure data display time and a scale drawn, calculating and analyzing the left foot heel position, the left foot toe position, the right foot heel position, the right foot toe position and the foot print relative positions of the left foot and the right foot through an image analysis processor, and calculating step data (divided into a step length of the striding foot of two feet and a step length of the standing opposite side foot of the two feet) through an algorithm; if the stride length of the left foot does not exceed the stride length of the opposite side foot, and the stride length of the right foot does not exceed the stride length of the opposite side foot, the step length score is 0; if the stride length of the left foot exceeds the step length of the opposite side foot standing, and the stride length of the right foot exceeds the step length of the opposite side foot standing, the stride length score is 1. Calculating and analyzing gait symmetry and gait continuity based on all step length data; if the step lengths of the two feet are not equal, the gaits are asymmetric, and the gaits symmetry score is 0; if the step lengths of the two feet are equal, the gaits are symmetrical, and the score of the gaits symmetry is 1.

If the horizontal distance between the left heel and the right heel is larger than the distance corresponding to the normal condition when the gait is continuous, and the gait is discontinuous or interrupted, the gait continuity score is 0; if the horizontal distance between the left heel and the right heel is less than or equal to the distance corresponding to the normal condition when the gait is continuous, the gait continuity score is 1.

The step width calculation method comprises the following steps:

based on the plurality of foot print images and foot print pressure data display time and scales drawn, calculating and analyzing the left foot heel position, the left foot toe position, the right foot heel position, the right foot toe position and the foot print relative position of the left foot and the right foot through an image processor, calculating to obtain a foot center line through an algorithm to further calculate step width data, and if the step width is greater than a corresponding normal step width distance, dividing the step width into 0; if the step width distance is less than or equal to the corresponding normal step width distance, the step width is 1.

The walking path calculation method comprises the following steps:

based on the plurality of drawn footprint images, the color depth of the footprint images, the footprint pressure data display time and the scale, the footprint images of the left foot and the right foot are obtained through the image analysis processor, so that the barycentric coordinates of the left foot and the right foot are obtained through calculation, the walking path of the user changing along with time is drawn according to the footprint barycentric coordinates, the walking path is compared with the deviation angle of the walking path corresponding to the normal condition, if the deviation angle of the corresponding walking path is larger than the normal angle, the walking path deviates to one side, the walking path is divided into 0, and otherwise, the walking path is divided into 1. If the walking path deviates from the preset angle, outputting a suggestion suggesting that the person to be tested uses the walking aid daily.

Further, as shown in fig. 7, the method for obtaining the third parameter value includes:

SC1: providing a second test pad 3, wherein a fourth pressure sensor 30 and a station mark 31 corresponding to each characteristic action are arranged on the second test pad 3;

and (2) SC2: recording the start time and the end time of each characteristic action through the feedback of the fourth pressure sensor 30, or obtaining the holding time;

SC3: for any current characteristic action, if the retention time is less than a preset value, stopping testing the characteristic action with higher difficulty coefficient;

SC4: cumulatively calculating the retention time of each feature action currently completed by the person to be measured to obtain a third parameter value

Preferably, in this embodiment, the station mark 31 is indicated by a plurality of LED indicator lamps disposed on the second test pad 3, that is, the position of the footprint corresponding to each characteristic action is indicated. Taking four sets of characteristic actions as an example, the station marks are four, and by controlling the position conversion of the lighting of the plurality of LED indicating lamps, a first mark (as shown in FIG. 8) for indicating that two feet of a person to be measured stand side by side, a second mark (as shown in FIG. 9) for indicating that the two feet of the person to be measured stand in a staggered manner front and back, a third mark (as shown in FIG. 10) for indicating that the two feet of the person to be measured stand side by side in a straight line front and back manner, and a fourth mark (as shown in FIG. 11) for indicating that the left foot and the right foot of the person to be measured stand alternately with one foot are obtained respectively.

According to the method for acquiring the third parameter value, when a test is started, a person to be tested stands outside the second test pad 3, and after the voice broadcaster broadcasts the start command, the second test pad 3 sequentially displays the first mark (fig. 3), the second mark (fig. 4), the third mark (fig. 5) and the fourth mark (fig. 6). Specifically, in the first stage, when the pressure value fed back by the fourth pressure sensor 30 in the first mark area increases and exceeds the preset value, the timing is started, and when the timing reaches the standard time of 10s, the cumulative record of time is kept as 10s. Then, the mark area 31 is changed into a second mark, the second stage is entered, the person to be measured stands on the second mark according to the indication of the misplacement of feet, when the pressure value fed back by the fourth pressure sensor 30 in the second mark area is increased and exceeds the preset value, the timing is started, and when the timing reaches the standard time of 10s, the accumulated time is kept and recorded as 20s. Then, the mark area 31 is changed to a third mark, and the third stage is entered, the person to be measured stands next to the third mark in a straight line before and after the feet according to the instruction, and when the pressure value fed back by the fourth pressure sensor 30 in the third mark area increases and exceeds the preset value, the timing is started, and when the timing reaches the standard time of 10s, the cumulative record of the time is kept as 30s. And finally, the mark area 31 is changed into a fourth mark, the fourth stage is carried out, the person to be measured stands on the fourth mark by indicating the left foot and the right foot to alternate with each other, when the pressure value fed back by the fourth pressure sensor 30 in the fourth mark area is increased and exceeds the preset value, timing is started, after the timing reaches the standard time of 10s, the cumulative record of the time is kept to be 40s, and then the finally obtained third parameter value is 40s.

It should be noted that, in the process of acquiring the third parameter value, if the holding time of the first stage does not reach the standard time 10s, for example, 8s, the test of the next three stages is not performed, and the third parameter value is 8s. Similarly, if the second phase is reached and the hold time has not reached 20s, e.g. 18s, then the next two phases are not tested and the third parameter value is 18s.

Referring to fig. 4 and 12, in another preferred embodiment of the present invention, a system for multidimensional assessment of a fall risk of a person is further disclosed, which includes a seat 1, a first parameter obtaining module 40, a second parameter obtaining module 41, a third parameter obtaining module 42, and a fall risk determining model 43.

The first parameter obtaining module 40 is configured to obtain a first parameter value, where the first parameter value is a number of times that a person to be tested continuously completes a sitting-up action on the seat 1 within a preset time period.

The second parameter obtaining module 41 is configured to obtain a second parameter value, where the second parameter value is a time taken for the person to be measured to come and go a preset distance after standing up from the seat 1 and sit down.

The third parameter obtaining module 42 is configured to obtain a third parameter value, where the third parameter value is an accumulated retention time of the person to be tested in a plurality of groups of characteristic actions, and the plurality of groups of characteristic actions represent standing balance of the person and have different difficulty coefficients respectively.

The fall risk judging model 43 is configured to perform data processing on the first parameter value, the second parameter value, and the third parameter value to output a fall risk.

Further, the fall risk determination model 43 is provided with a first determination module 430, a second determination module 431, a third determination module 432, and a confirmation module 433.

The first determining module 430 is configured to determine the first parameter value and a first threshold;

the second determining module 431 is configured to determine the second parameter value and a second threshold;

the third determining module 432 is configured to determine the third parameter value and a third threshold;

the confirming module 433 is configured to output a first value representing a higher fall risk according to feedback of any one of the first determining module 430, the second determining module 431, and the third determining module 432; and the number of the first and second groups,

and outputting a second value representing a lower fall risk according to the common feedback of the first judging module 430, the second judging module 431 and the third judging module 432.

Furthermore, a first pressure sensor is arranged on the support seat surface 11 of the seat 1, and whether the person to be measured leaves the support seat surface 11 of the seat is judged through the feedback of the first pressure sensor; the seat 1 is further provided with an armrest 10, and the armrest 10 is provided with a second pressure sensor 13.

Further, as shown in fig. 6 and 7, the evaluation system in the present embodiment further comprises a first test pad 2 for obtaining a second parameter value and a second test pad 3 for obtaining said third parameter value. The first test pad 2 provides a reciprocating walking channel for a person to be tested, a plurality of third pressure sensors 20 are arranged on the first test pad 2, the plurality of third pressure sensors 20 are uniformly distributed on the first test pad 2 in a lattice shape, and a position coordinate point is marked for each third pressure sensor 20; the second test pad 3 is provided with a fourth pressure sensor 30 and a station mark 31 corresponding to each of the characteristic actions.

It should be noted that the working principle and the working process of the system for evaluating a falling risk of a person in a multidimensional manner in this embodiment are described in detail in the above method for evaluating a falling risk of a person in a multidimensional manner, and are not described herein again.

The above disclosure is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the scope of the present invention, therefore, the present invention is not limited by the appended claims.

Claims

1. A method for multidimensional assessment of a fall risk of a person, comprising;

acquiring the number of times of a person to be tested continuously completing sitting-up actions on a seat within a preset time period to obtain a first parameter value;

starting from the characteristic action with low difficulty coefficient, when the object to be tested makes the current characteristic action, accumulating and recording the retention time of the object to be tested in the characteristic action to obtain a third parameter value;

2. A method for multidimensional assessment of fall risk for a person as claimed in claim 1, wherein the method for processing parameter data by the fall risk assessment model comprises:

when the first parameter value is less than a first threshold, or the second parameter value is greater than a second threshold, or the third parameter value is less than a third threshold, outputting a first value representing a higher fall risk;

3. The method for multidimensional assessment of fall risk of a person according to claim 1, wherein the characteristic actions comprise standing with two feet having a first difficulty factor in parallel, standing with two feet having a second difficulty factor offset in front and back, standing with two feet having a third difficulty factor in line in front and back, and standing with left and right feet having a fourth difficulty factor in alternating single feet.

4. The method for multidimensional assessment of fall risk of a person according to claim 1, wherein a first pressure sensor is disposed on the supporting seat surface of the seat, and whether the person to be tested leaves the supporting seat surface of the seat is determined by feedback of the first pressure sensor;

the seat is also provided with an armrest, and a second pressure sensor is arranged on the armrest; in the process of acquiring the first parameter value, when the feedback of the second pressure sensor exceeds a preset value, stopping the detection of the current item, and taking the currently recorded times of finishing the sitting-up action as the first parameter value.

5. A method for multidimensional assessment of fall risk of a person as claimed in claim 1, wherein the second parameter value is obtained by:

the seat is characterized in that a first test pad with a preset length is arranged in front of the seat, the first test pad provides a back-and-forth walking channel for a person to be tested, a plurality of third pressure sensors are arranged on the first test pad, the third pressure sensors are uniformly distributed on the first test pad in a lattice shape, and a position coordinate point is marked for each third pressure sensor; and recording the starting time point and the ending time point of the person to be tested on the first test mat according to the feedback of the first pressure sensor on the seat and the feedback of the third pressure sensors on the first test mat so as to obtain the second parameter value, generating current gait information data of the person to be tested according to the feedback of the third pressure sensors and the position coordinate point of the third pressure sensors, and processing the gait information according to a gait disorder model so as to obtain the gait disorder condition data of the person to be tested.

6. A method for multidimensional assessment of fall risk of a person as claimed in claim 1, wherein the method for obtaining the third parameter value comprises:

7. A system for multidimensional assessment of a fall risk of a person, comprising:

the second parameter acquisition module is used for acquiring a second parameter value, wherein the second parameter value is the time for the person to be tested to come and go a preset distance after standing up from the seat and sit down;

8. The system for multidimensional assessment of fall risk of a person according to claim 7, wherein the fall risk assessment model is provided with a first assessment module, a second assessment module, a third assessment module and a confirmation module;

9. The system for multidimensional assessment of fall risk of a person as claimed in claim 7, wherein a first pressure sensor is disposed on the supporting seat surface of the seat, and whether the person to be measured leaves the supporting seat surface of the seat is determined by feedback of the first pressure sensor; the seat is further provided with an armrest, and a second pressure sensor is arranged on the armrest.

10. The system for multi-dimensional assessment of fall risk of a person according to claim 7, further comprising a first test pad for obtaining a second parameter value and a second test pad for obtaining said third parameter value; the first test pad provides a reciprocating walking channel for a person to be tested, a plurality of third pressure sensors are arranged on the first test pad, the third pressure sensors are uniformly distributed on the first test pad in a dot matrix shape, and a position coordinate point is marked for each third pressure sensor; and a fourth pressure sensor and a station mark corresponding to each characteristic action are arranged on the second test pad.