A training method for preventing falls in elderly stroke patients

Abstract

The present invention provides a training method for preventing elderly stroke patients from falling, and relates to the technical field of rehabilitation training for stroke patients, wherein the patient is subjected to balance training, and data of the patient in balance training is collected at the same time; the patient is subjected to gait training, and data of the patient in gait training is collected; the patient is subjected to leg strength training, and the actual strength training weight and target training weight of the patient in the leg strength training process are collected. The method combines the preset standing time and the maximum shaking angle to calculate the balance score of the patient's th balance training, and calculates the gait score and the leg strength training score, obtains the fall risk index of the th training and the comprehensive training score of the th training, and finally calculates the intensity level of the th training based on the comprehensive training score of the th training, thereby providing an objective data basis for rehabilitation training.

Description

Technical Field

[0001] The invention relates to the technical field of rehabilitation training for stroke patients, and in particular to a training method for preventing elderly stroke patients from falling. Background Art

[0002] Stroke is also known as "stroke" or "cerebrovascular accident". It is an acute cerebrovascular disease, a group of diseases caused by sudden rupture of brain blood vessels or blood vessel blockage that prevents blood from flowing into the brain, causing local brain tissue damage, including ischemic and hemorrhagic strokes. The incidence of ischemic stroke is higher than that of hemorrhagic stroke, accounting for 60% to 70% of the total number of strokes. Occlusion or stenosis of the internal carotid artery and vertebral artery can cause ischemic stroke, which mostly occurs in people over 40 years old, more often in men than in women, and can cause death in severe cases.

[0003] Currently, stroke patients usually receive training on lower limb strength and body stability during their later rehabilitation treatment to prevent falls. However, the results of the training are usually based on the subjective judgment of the patient or doctor, and there is no reasonable training method to prevent falls. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a training method for preventing falls in elderly stroke patients, which has the advantages of quantifying each training and providing data indicators for the next training, thereby solving the above-mentioned technical problems.

[0005] To achieve the above object, the present invention provides the following technical solution: a training method for preventing elderly stroke patients from falling, comprising the following steps:

[0006] Step 1: Perform balance training on the patient and collect the patient's balance training data, including standing time and sway angle, and calculate the patient's first balance training data based on the preset standing time and maximum sway angle. Balance score for balance training ;

[0007] Step 2: Perform gait training on the patient and collect the patient's gait training data, including actual step length, target step length, and step lengths of the left and right feet respectively, and calculate the patient's first step length. Gait scores after gait training ;

[0008] Step 3: Perform leg strength training on the patient, collect the patient's actual strength training weight and target training weight during the leg strength training, and calculate the patient's first Leg strength training score for each leg strength training session ;

[0009] Step 4: Based on the balance score, gait score and leg strength training score obtained in steps 1 to 3, calculate the The fall risk index of the first training session and the The comprehensive training score of the training session;

[0010] Step 5: Based on The comprehensive training score of the training is calculated to get the The intensity level of the training session.

[0011] As a preferred technical solution of the present invention, the specific expressions of the standing time and shaking angle collected in step 1 are as follows:

[0012] ;

[0013] in, Indicates that the patient The dataset for balanced training is Indicates that the patient The standing time of balance training, Respectively represent patients The first shaking angle of the balance training, ... Balance training for the first time The shaking angle, ..., the patient's Balance training for the first time Secondary shaking angle.

[0014] As a preferred technical solution of the present invention, the specific calculation expression for calculating the balance score in step 1 is as follows:

[0015] ;

[0016] in, Indicates that the patient The balance score of the balance training was Indicates the preset standing time. Indicates the maximum shaking angle, Indicates that the patient The maximum value of all shaking angles during balance training. Indicates that the patient The standing time of balance training, Indicates the magnification factor.

[0017] As a preferred technical solution of the present invention, the specific expressions for collecting the actual stride length, the target stride length, and the stride lengths taken by the left and right feet in step 2 are as follows:

[0018] ;

[0019] in, Indicates that the patient The data set for gait training is Respectively represent patients The length of the left foot in the first gait training, ... The first gait training The left foot length, ..., the patient's The first gait training The next left step is long, Respectively represent patients The length of the first right step in the gait training, ... The first gait training The length of the right foot, ..., the patient's The first gait training The next right step is long, Indicates that the patient The actual stride length of each gait training session.

[0020] As a preferred technical solution of the present invention, the specific expression for calculating the gait score in step 2 is as follows:

[0021] ;

[0022] in, Indicates that the patient Gait scores after gait training, Indicates that the patient The actual stride length of the gait training session, represents the target step length, represents the magnification factor, Indicates that the patient The first gait training The absolute value of the difference in length between the left and right steps, Express The absolute values ​​of the differences are summed.

[0023] As a preferred technical solution of the present invention, the expression for collecting the actual strength training weight and target training weight of the patient during the leg strength training in step 3 is as follows:

[0024] ;

[0025] in, Indicates that the patient A data set of leg strength training. Indicates that the patient The weight of the leg strength training, Indicates that the patient Target training weight for leg strength training.

[0026] As a preferred technical solution of the present invention, the expression for calculating the leg strength training score in step 3 is as follows:

[0027] ;

[0028] in, Indicates that the patient The leg strength training score for each leg strength training session is Indicates that the patient The weight of the leg strength training, Indicates that the patient The target training weight for leg strength training is: Indicates the magnification factor.

[0029] As a preferred technical solution of the present invention, the step 4 is calculated to obtain the The expression of the comprehensive training score of training is as follows:

[0030] ;

[0031] in, Indicates that the patient The comprehensive training score of the training session, Indicates that the patient The balance score of the balance training was Indicates that the patient Gait scores after gait training, Indicates that the patient The leg strength training score for each leg strength training session.

[0032] As a preferred technical solution of the present invention, the step 4 is calculated to obtain the The expression of the fall risk index for each training session is as follows:

[0033] ;

[0034] in, Indicates The fall risk index of each training session, represents the magnification factor, Indicates that the patient The comprehensive training score of the training session.

[0035] As a preferred technical solution of the present invention, the step 5 is based on The comprehensive training score of the training is calculated to get the The expression for the intensity level of a training session is as follows:

[0036] ;

[0037] in, Indicates that the patient The comprehensive training score of the training session, Indicates that the patient The comprehensive training score of the training session, Indicates The intensity level of the training session, Indicates The intensity level of the training session.

[0038] Compared with the prior art, the present invention provides a training method for preventing elderly stroke patients from falling, which has the following beneficial effects:

[0039] The present invention calculates the patient's first Balance scores of balance training and gait scores and leg strength training score , get the The fall risk index of the first training session and the The comprehensive training score of the training is finally based on the The comprehensive training score of the training is calculated to get the The intensity level of each training session can be determined, thereby providing an objective data basis for rehabilitation training. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 It is a schematic diagram of the process of the present invention. DETAILED DESCRIPTION

[0041] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0042] See also Figure 1 , a training method for preventing falls in elderly stroke patients, comprising the following steps:

[0043] Step 1: Perform balance training on the patient and collect the patient's balance training data, including standing time and sway angle, and calculate the patient's first balance training data based on the preset standing time and maximum sway angle. Balance score for balance training ;

[0044] The specific expressions of the standing time and shaking angle collected in step 1 are as follows:

[0045] ;

[0046] in, Indicates that the patient The dataset for balanced training is Indicates that the patient The standing time of balance training, Respectively represent patients The first shaking angle of the balance training, ... Balance training for the first time The shaking angle, ..., the patient's Balance training for the first time The specific calculation expression for the balance score calculated in step 1 is as follows:

[0047] ;

[0048] in, Indicates that the patient The balance score of the balance training was Indicates the preset standing time. Indicates the maximum shaking angle, Indicates that the patient The maximum value of all shaking angles during balance training. Indicates that the patient The standing time of balance training, Indicates the magnification factor.

[0049] Step 2: Perform gait training on the patient and collect the patient's gait training data, including actual step length, target step length, and step lengths of the left and right feet respectively, and calculate the patient's first step length. Gait scores after gait training , the specific expressions for collecting the actual step length, target step length, and the step lengths taken by the left and right feet in step 2 are as follows:

[0050] ;

[0051] in, Indicates that the patient The data set for gait training is Respectively represent patients The length of the left foot in the first gait training, ... The first gait training The left foot length, ..., the patient's The first gait training The next left step is long, Respectively represent patients The length of the first right step in the gait training, ... The first gait training The length of the right foot, ..., the patient's The first gait training The next right step is long, Indicates that the patient The actual step length of the gait training is the distance between the left foot and the right foot after the two feet are in the same parallel position. The right step length refers to the distance between the right foot and the left foot after the two feet are in the same parallel position. The specific expression of the gait score calculated in step 2 is as follows:

[0052] ;

[0053] in, Indicates that the patient Gait scores after gait training, Indicates that the patient The actual stride length of the gait training session, represents the target step length, represents the magnification factor, Indicates that the patient The first gait training The absolute value of the difference in length between the left and right steps, Express The absolute values ​​of the differences are summed.

[0054] Step 3: Perform leg strength training on the patient, collect the patient's actual strength training weight and target training weight during the leg strength training, and calculate the patient's first Leg strength training score for each leg strength training session , the expressions for collecting the actual strength training weight and target training weight of the patient during leg strength training in step 3 are as follows:

[0055] ;

[0056] in, Indicates that the patient A data set of leg strength training. Indicates that the patient The weight of the leg strength training, Indicates that the patient The target training weight for leg strength training is 100 times. The expression for calculating the leg strength training score in step 3 is as follows:

[0057] ;

[0058] in, Indicates that the patient The leg strength training score for each leg strength training session is Indicates that the patient The weight of the leg strength training, Indicates that the patient The target training weight for leg strength training is: Indicates the magnification factor.

[0059] Step 4: Based on the balance score, gait score and leg strength training score obtained in steps 1 to 3, calculate the The fall risk index of the first training session and the The comprehensive training score of the training is calculated in step 4. The expression of the comprehensive training score of training is as follows:

[0060] ;

[0061] in, Indicates that the patient The comprehensive training score of the training session, Indicates that the patient The balance score of the balance training was Indicates that the patient Gait scores after gait training, Indicates that the patient The leg strength training score for the first leg strength training is calculated in step 4. The expression of the fall risk index for each training session is as follows:

[0062] ;

[0063] in, Indicates The fall risk index of each training session, represents the magnification factor, Indicates that the patient The comprehensive training score of the training session.

[0064] Step 5: Based on The comprehensive training score of the training is calculated to get the The intensity level of the training session is based on The comprehensive training score of the training is calculated to get the The expression for the intensity level of a training session is as follows:

[0065] ;

[0066] in, Indicates that the patient The comprehensive training score of the training session, Indicates that the patient The comprehensive training score of the training session, Indicates The intensity level of the training session, Indicates The intensity level of the training session.

[0067] Example 1: During this training process , , , , in step 1, the patient The dataset for balanced training At this time, the patient Balance score for balance training , in step 2, the patient Dataset for gait training , patient no. Gait scores after gait training , in step 3, the patient Dataset of leg strength training ;Patient No. Leg strength training score for each leg strength training session , patient no. The overall training score of the training session , No. Fall risk index per training session The higher the risk index here, the higher the risk of falling.

[0068] Example 2: During this training process , , , , in step 1, the patient The dataset for balanced training At this time, the patient Balance score for balance training , in step 2, the patient Dataset for gait training , patient no. Gait scores after gait training , in step 3, the patient Dataset of leg strength training , patient no. Leg strength training score for each leg strength training session , patient no. The overall training score of the training session , No. Fall risk index per training session The higher the risk index is, the higher the risk of falling is. The patient's first Balance scores of balance training and gait scores and leg strength training score , get the The fall risk index of the first training session and the The comprehensive training score of the training can be finally based on the The comprehensive training score of the training is calculated to get the The intensity level of each training session can be determined, thereby providing an objective data basis for rehabilitation training.

[0069] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A training method for preventing elderly stroke patients from falling, characterized in that: The following steps are involved: Step 1: Perform balance training on the patient and collect the patient's balance training data, including standing time and sway angle, and calculate the patient's first balance training data based on the preset standing time and maximum sway angle. Balance score for balance training ; Step 2: Perform gait training on the patient and collect the patient's gait training data, including actual step length, target step length, and step lengths of the left and right feet respectively, and calculate the patient's first step length. Gait scores after gait training ; Step 3: Perform leg strength training on the patient, collect the patient's actual strength training weight and target training weight during the leg strength training, and calculate the patient's first Leg strength training score for each leg strength training session ; Step 4: Based on the balance score, gait score and leg strength training score obtained in steps 1 to 3, calculate the The fall risk index of the first training session and the The comprehensive training score of the training session; Step 5: Based on The comprehensive training score of the training is calculated to get the The intensity level of the training session; The specific expressions of the standing time and shaking angle collected in step 1 are as follows: ； in, Indicates that the patient The dataset for balanced training is Indicates that the patient The standing time of balance training, Respectively represent patients The first shaking angle of the balance training, ... Balance training for the first time The shaking angle, ..., the patient's Balance training for the first time Secondary shaking angle; The specific calculation expression for the balance score calculated in step 1 is as follows: ； in, Indicates the preset standing time. Indicates the maximum shaking angle, Indicates that the patient The maximum value of all shaking angles during balance training. Indicates that the patient The standing time of balance training, represents the magnification factor; The expressions for collecting the actual strength training weight and target training weight of the patient during the leg strength training in step 3 are as follows: ； in, Indicates that the patient A data set of leg strength training. Indicates that the patient The weight of the leg strength training, Indicates that the patient target training weight for leg strength training; The expression for calculating the leg strength training score in step 3 is as follows: ； The specific expressions for collecting the actual stride length, target stride length, and stride lengths taken by the left and right feet in step 2 are as follows: ； in, Indicates that the patient The data set for gait training is Respectively represent patients The length of the left foot in the first gait training, ... The first gait training The left foot length, ..., the patient's The first gait training The next left step is long, Respectively represent patients The length of the first right step of the gait training, ... The first gait training The length of the right foot, ..., the patient's The first gait training The next right step is long, Indicates that the patient The actual step length of the gait training, where the left step length refers to the distance between the left foot and the right foot after the two feet are in the same parallel position, and the right step length refers to the distance between the right foot and the left foot after the two feet are in the same parallel position; The specific expression for calculating the gait score in step 2 is as follows: ； in, represents the target step length, Indicates that the patient The first gait training The absolute value of the difference in length between the left and right steps, Express The absolute values ​​of the differences are summed.

2. A training method for preventing elderly stroke patients from falling according to claim 1, characterized in that: The fourth step is to calculate the The expression of the comprehensive training score of training is as follows: ； in, Indicates that the patient The comprehensive training score of the training session, Indicates that the patient The balance score of the balance training was Indicates that the patient Gait scores after gait training, Indicates that the patient The leg strength training score for each leg strength training session.

3. A training method for preventing elderly stroke patients from falling according to claim 2, characterized in that: The fourth step is to calculate the The expression of the fall risk index for each training session is as follows: ； in, Indicates The fall risk index of each training session, Indicates that the patient The comprehensive training score of the training session.

4. A training method for preventing elderly stroke patients from falling according to claim 3, characterized in that: In step five, based on The comprehensive training score of the training is calculated to get the The expression for the intensity level of a training session is as follows: ； in, Indicates that the patient The comprehensive training score of the training session, Indicates that the patient The comprehensive training score of the training session, Indicates The intensity level of the training session, Indicates The intensity level of the training session.

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