TWI722803B - A method for step length estimation and pulmonary function prediction with a six-minute walking test - Google Patents

Abstract

This invention includes a data inputting step, a six-minute walking step, a known total walking distance calculating step, an unknown total walking distance calculating step, and a pulmonary function predicting step. It has an integral structure that contains a predicting unit, a step counting unit, and timer. A user can input the data of gender, age, height and weight. Then, this user can take a six-minute walk. After which, the step counting unit can obtain the data of total steps. The predicting unit can calculate the step length and total walking distance. Finally, the estimated value of the forced vital capacity (FVC) and the estimated value of forced exhale volume in one second (FEV₁) can be calculated by the predicting unit. This invention can allow the user to conduct a pulmonary function prediction outside of a hospital. No matter the total walking distance after taking a six-minute walk is known or not, it still works for prediction. In addition, the pulmonary function prediction can be done when the user takes a walking exercise.

Description

A method for estimating stride length and lung function by six-minute walking exercise

The present invention relates to a method for estimating stride length and pulmonary function by six-minute walking exercise, especially a method that allows users to perform pulmonary function evaluation outside the hospital, regardless of whether the total distance of six-minute walking exercise is known or not. Prediction, and walking exercise can also be used to evaluate lung function after exercise.

Traditionally, people with respiratory diseases undergo pulmonary function tests, such as forced vital capacity (FVC) and forced exhale volume in one second (FEV ₁ ), and they need to go to the hospital. It is very inconvenient to perform an inspection. In addition, post-exercise lung function can be used as an indicator of post-exercise pulmonary ventilation, but in hospitals, lung function tests are mostly performed at rest, which is less able to reflect the limitations of post-exercise. In addition, the current walking exercise is mainly based on step counting, but for items that need to be measured by distance, a positioning reference point is required to perform; this is quite inconvenient for people with chest diseases who need to use walking exercise to rehabilitate.

In view of this, it is necessary to develop a technology that can solve the above-mentioned conventional shortcomings.

The purpose of the present invention is to provide a method for estimating stride length and pulmonary function by six-minute walking exercise, which allows users to perform pulmonary function evaluation outside the hospital, regardless of whether the total distance of six-minute walking exercise is known or not. Predictable, and walking exercise can also be used for post-exercise lung function assessment and other advantages. In particular, the problem to be solved by the present invention is that people with respiratory diseases undergoing lung function test items such as forced vital capacity and forced exhalation for one second, which need to go to the hospital for the test, which is very inconvenient. In addition, lung function after exercise can be used as an indicator of lung ventilation after exercise. Can check, less able to reflect the limited state after exercise. In addition, the current walking exercise is mainly based on step counting, but for items that need to be measured by distance, a positioning reference point is required to perform; this is quite inconvenient for people with chest diseases who need to use walking exercise to rehabilitate.

The technical means to solve the above problems is to provide a method for estimating the pace and lung function of the six-minute walking exercise, which includes: 1. Steps of inputting data: prepare an estimation unit, a pedometer unit and a timing unit in advance. The estimation unit has an input interface and a display interface; input a user's height (H), Weight (W), gender (G) and age (A); among them, the unit of height (H) is centimeters, the unit of weight (W) is kilograms, and the gender (G) is selected from male and female 1. The unit of the age (A) is years; the pedometer unit and the timing unit are both set in the estimation unit; 2. Steps for six-minute walking exercise: After carrying the estimating unit for six-minute walking exercise, it obtains a total number of steps (B); if the total distance (S) after six-minute walking exercise is known, proceed to the following step 3 ; Otherwise, proceed to the following step four; three. Steps for calculating the known total distance: Step distance (D) is calculated by the following formula (1): (Formula 1) Step distance (D) = total distance (S)/total number of steps (B); 4. Steps for calculating the step distance of the unknown total distance: The step distance (D) is calculated by one of the following formulas (2), (3), (4), (5) and formula (6): If gender (G ) Is male, and 20≦age(A)<25, then use formula (2) to calculate: (Formula 2) FEV ₁ pred=-6.1181+0.0519*height(H)+0.0636*age(A); if gender ( G) is male, and 25≦age(A)<99, then use formula (3) to calculate: (Formula 3) FEV ₁ pred=-6.5147+0.0665*height(H)-0.0292*age(A); if gender (G) is female, and 20≦age(A)<25, then use formula (4) to calculate: (Formula 4) FEV ₁ pred=-1.8210+0.0332*height(H)-0.0190*age(A); if Gender (G) is female, and 25≦age (A)<99, then use formula (3) to calculate: (Formula 5) FEV ₁ pred=2.6539+0.0143*height(H)-0.0397*age(A); where , FEV ₁ pred is the predicted value of forced exhalation for one second, in liters; then use the following formula (6) to calculate the step distance (D): (Formula 6) step distance (D)=0.289+0.153*FEV ₁ pred; then the total distance (S) can be calculated by the following formula (7): (formula 7) total distance (S) = step distance (D) * total number of steps (B); five. Pulmonary function estimation steps: Carry out the following formula (8) and formula (9) calculation: (Formula 8) FVC estimated value = -4.249 + 2.255 * step distance (D) + 0.031 * height (H); (Formula 9) FEV ₁ Estimated value=-0.453+0.002*total distance+0.020*weight (W); among them, the estimated value of FVC is the estimated value of forced vital capacity after exercise; the estimated value of FEV _{1 is the} estimated value of forced exhalation for one second after exercise.

The above-mentioned objects and advantages of the present invention can be easily understood from the detailed description of the selected embodiments and the accompanying drawings.

Hereinafter, the present invention will be described in detail with the following examples and drawings:

S1: Steps to input data

S2: Perform a six-minute walking exercise step

S3: Step distance calculation steps for known total distance

S4: Steps for calculating step distance of unknown total distance

S5: Steps to estimate lung function

10: Estimation unit

11: Input interface

12: Display interface

20: Pedometer unit

30: Timing unit

L1: the first line segment

L2: second line segment

L3: The third line segment

L4: The fourth line segment

L5: The fifth line segment

L6: The sixth line segment

L7: The seventh line segment

Figure 1 is a flowchart of the present invention

Figure 2 is a schematic diagram of the device of the present invention

Figure 3 is a scatter diagram of the corresponding relationship between the predicted step distance and the actual step distance of the present invention

Figure 4 is a scatter diagram of the corresponding relationship between predicted FVC and actual FVC of the present invention

Figure 5 is a scatter diagram of the corresponding relationship between _{predicted FEV 1} and actual FEV _{1 of the present invention}

Referring to Figures 1 and 2, the present invention is a method for estimating the pace and lung function of a six-minute walking exercise, which includes:

One. Input data step S1: Prepare an estimation unit 10, a pedometer unit 20, and a timing unit 30 in advance, and the estimation unit 10 has an input interface 11 and a display interface 12. Use the input interface 11 to input the height (H), weight (W), gender (G), and age (A) of a user to the estimation unit 10; wherein the unit of the height (H) is centimeters, and the weight ( The unit of W) is kilograms, and the gender (G) is selected from one of male and female; the unit of age (A) is years. The pedometer unit 20 and the timing unit 30 are both provided in the estimation unit 10.

two. Perform six-minute walking exercise step S2: After carrying the estimating unit 10 for six-minute walking exercise, it obtains a total number of steps (B); if the total distance (S) after six-minute walking exercise is known, perform the following Step three; otherwise, proceed to step four below.

three. Step S3 for calculating the step distance of the known total distance: Step distance (D) is calculated by the following formula (1): (Formula 1) step distance (D) = total distance (S)/total number of steps (B).

four. Step S4 of step distance calculation of unknown total distance: Step distance (D) is calculated by one of the following formulas (2), (3), (4), (5) and formula (6): If gender ( G) is male and 20≦age(A)<25, then it is calculated by formula (2): (Formula 2) FEV ₁ pred=-6.1181+0.0519*height(H)+0.0636*age(A).

If gender (G) is male, and 25≦age (A)<99, use formula (3) to calculate: (Formula 3) FEV ₁ pred=-6.5147+0.0665*height(H)-0.0292*age(A) .

If gender (G) is female, and 20≦age (A)<25, use formula (4) to calculate: (Formula 4) FEV ₁ pred=-1.8210+0.0332*height(H)-0.0190*age(A) .

If gender (G) is female, and 25≦age (A)<99, then use formula (3) to calculate: (Formula 5) FEV ₁ pred=2.6539+0.0143*height (H)-0.0397*age (A).

Among them, FEV ₁ pred is the predicted value of forced expiration in one second, in liters; more specifically, the aforementioned predicted value of forced expiration in one second refers to the predicted value of forced expiration in one second for healthy Asian adults value.

Then use the following formula (6) to calculate the step distance (D): (Equation 6) step distance (D)=0.289+0.153*FEV ₁ pred; then use the following formula (7) to calculate the total distance (S): ( Formula 7) Total distance (S) = Step distance (D) (First select the data corresponding to one of formulas (2), (3), (4), (5), and then calculate by formula (6)) *Total number of steps (B).

Fives. Pulmonary function estimation step S5: Carry out the following formula (8) and formula (9) calculations: (Formula 8) FVC estimated value = -4.249 + 2.255 * step distance (D) + 0.031 * height (H).

(Equation 9) FEV ₁ estimated value = -0.453+0.002*total distance+0.020*weight (W).

Among them, the estimated value of FVC is the estimated value of forced vital capacity after exercise.

The _{estimated value of FEV 1 is the} estimated value of forced exhalation for one second after exercise.

In practice, the estimation unit 10 can be a wrist fixed and portable structure.

The input interface 11 can be a touch-sensitive interface, and is fixed on the wrist with a portable structure.

The display interface 12 can be a touch-sensitive screen, and is provided in the wrist fixed portable structure in conjunction with the input interface 11.

The unit of this step (D) is meters.

The research and development process of the present invention includes the following stages:

[1] Variable extraction. A total of 60 people with respiratory diseases were first collected. Physiological data included six-minute walking distance, number of steps, lung function before and after exercise, as well as parameters such as maximum heartbeat and minimum blood oxygen. Randomly divide them into an observation group and a validation group of 30 each. Taking the distance of each step and lung function as the dependent variables, respectively, the relevant variables with moderate or higher levels are extracted as shown in Table 1.

[2] Establishment and validation of the estimation module. The observation group established an estimation model and compared it with the known values of the other 30 confirmed groups. Develop the step distance prediction and compare it with the physiological data of other people with respiratory diseases. Then develop lung function estimates (FVC and FEV ₁ ), and compare them with the physiological data of people with other respiratory diseases.

Regarding the prediction of the step distance, refer to Figure 3. The first line segment L1 represents the average and standard deviation (Diff) of the module developed in this case (corresponding to the 4 different conditions of the aforementioned formula (1)) = -0.68±9.7.

The second line segment L2 represents the first conventional prediction method, and its formula: step distance = height-100 (cm); its mean and standard deviation (Diff) = -2.47 ± 9.4.

The third line segment L3 represents the second conventional prediction method. If the user is a female, the formula is: step distance = height X 0.413 (cm). If you are a male, the formula is: step distance = height X 0.415; its average and standard deviation (Diff) = 2.74 ± 11.5.

Therefore, it can be proved that the accuracy of the step distance estimation method in this case is relatively high.

For FVC prediction, refer to Figure 4, where: the fourth line segment L4 represents the module developed in this case (corresponding to the aforementioned formula (2)), and its average and standard deviation (Diff)=0.17±0.7.

The fifth line segment L5 represents the conventional FVC prediction method, and its average and standard deviation (Diff) = -0.60±0.8.

Therefore, it can be proved that the accuracy of the FVC estimation method in this case is relatively high.

Regarding the prediction of FEV ₁ , refer to Figure 5, where: the sixth line segment L6 represents the average and standard deviation (Diff) of the module developed in this case (ie the aforementioned formula (3)) = 0.05±0.5.

The seventh line segment L7 represents the conventional FEV ₁ prediction method, and its average and standard deviation (Diff)=-0.72±0.6.

Therefore, it can be proved that _{the accuracy of the FEV 1} estimation method in this case is relatively high.

Further, cite the following three practical calculation examples: Example 1: Assuming a male, a height of 175 cm (H), a 23-year-old (A) and a weight of 70 kg (W), after the six-minute walking exercise is completed, when the total is known Distance: The pedometer unit 20 obtains a total number of steps of 623 steps, and the total distance is 288 (hypothetical) meters (it can be calculated by any device capable of calculating travel distance, such as GPS).

The estimation unit 10 uses the following formula (1) to calculate the step distance: formula (1): step distance=total distance/six-minute steps=288/623=0.46 meters.

Then, the estimation unit 10 can use the following formula (8) to calculate the estimated value of forced vital capacity (FVC) after exercise: formula (8): FVC estimated value=-4.249+2.255*step size+0.031*H ;=-4.249+2.255*0.46+0.031*175; =-4.249+1.04+5.425=2.22.

In addition, the estimation unit 10 can use the following formula (9) to calculate _{the estimated value of the forced exhale volume in one second (FEV 1} ): formula (9): FEV ₁ estimated value = -0.453+0.002 *Total distance +0.020*W; =-0.453+0.002*288+0.020*70; =-0.453+0.576+1.4=1.523.

Example 2: Assuming a female, 165 cm (H) tall, 22 years old (A) and weight 60 kg (W), after the six-minute walk, when the total distance is unknown: the pedometer unit 20 obtains the total number of steps 635 steps.

The estimation unit 10 uses the following formula (4) to calculate the predicted value of forced expiration in one second: Formula (4): forced expiration in one second estimate = -1.8210+0.0332*height(H)-0.0190*age (A) ); =-1.8210+0.0332*165-0.0190*33; =-1.8210+5.478-0.627; =3.03.

Next, the estimated value of the forced exhalation in one second is substituted into the formula (6): Formula (6): step distance=0.289+0.153*the estimated value of the forced exhalation in one second;=0.289+0.153*3.03;=0.289+ 0.46359; = 0.75.

When the estimation unit 10 calculates the step distance, it is substituted into formula (7): formula (7): Total distance = step distance * total number of steps; =0.75*635; =476.25.

Then, the estimation unit 10 can use the following formula (8) to calculate the estimated value of forced vital capacity (FVC): formula (8): FVC estimated value=-4.249+2.255*step size+0.031*H; = -4.249+2.255*0.75+0.031*165; =-4.249+1.69+5.115=2.556.

In addition, the estimation unit 10 can use the following formula (9) to calculate _{the estimated value of the forced exhale volume in one second (FEV 1} ): formula (9): FEV ₁ estimated value = -0.453+0.002 *Total distance +0.020*W; =-0.453+0.002*476.25+0.020*60; =-0.453+0.9525+1.2=1.7.

Example 3: Suppose a female, 150 cm (H) tall, 24 years old (A), and weight 70 kg (W), after the six-minute walk, when the total distance is unknown: the pedometer unit 20 obtains the total number of steps 521 steps.

The estimation unit 10 uses the following formula (4) to calculate the estimated value of forced exhalation in one second: formula (4): the estimated value of forced exhalation in one second = -1.8210+0.0332*height(H)-0.0190*age (A) ); = -1.8210+0.0332*150-0.0190*50; = -1.8210+4.98-0.95; =2.21.

Next, the estimated value of the forced exhalation in one second is substituted into the formula (6): Formula (6): step distance=0.289+0.153*the estimated value of the forced exhalation in one second;=0.289+0.153*2.21;=0.289+ 0.33813; = 0.63.

When the estimation unit 10 calculates the step distance, it is substituted into formula (7): formula (7): total distance=step distance*total number of steps;=0.63*521;=328.23.

Then, the estimation unit 10 can use the following formula (8) to calculate the estimated value of forced vital capacity (FVC): formula (8): FVC estimated value=-4.249+2.255*step size+0.031*H; = -4.249+2.255*0.63+0.031*150; =-4.249+1.42+4.65=1.821.

In addition, the estimation unit 10 can use the following formula (9) to calculate _{the estimated value of the forced exhale volume in one second (FEV 1} ): formula (9): FEV ₁ estimated value = -0.453+0.002 *Total distance +0.020*W; =-0.453+0.002*328.23+0.020*70; =-0.453+0.9525+1.4=0.9.

The advantages and effects of the present invention are as follows:

[1] Users can perform lung function assessment outside the hospital. In the medical field, lung function must be tested in hospitals with professional, expensive and complicated equipment, which is quite inconvenient. The present invention can be estimated from data obtained by walking for six minutes outside the hospital. Therefore, users can perform lung function assessment outside the hospital.

[2] It can be predicted whether or not the total distance of a six-minute walk is known. The present invention has been developed and established relevant formulas and data in advance. After six minutes of walking (it may be a fixed route or random walking), regardless of whether the total distance is known or not, as long as the obtained data is substituted into the formula, The lung function can be estimated, which is very convenient. Therefore, it can be predicted whether or not the total distance of the six-minute walk is known.

[3] Walking rehabilitation can also be used for lung function estimation to do two things with one stone. The field-free threshold exercise of the present invention can perform lung assistance estimation based on the obtained data while walking fitness (rehabilitation or calculation) of the lower limbs. Therefore, walking rehabilitation can be used to estimate lung function at the same time.

The foregoing is only a detailed description of the present invention with a preferred embodiment, and any simple modifications and changes made to the embodiment will not depart from the spirit and scope of the present invention.

S1: Steps to input data

S2: Perform a six-minute walking exercise step

S3: Step distance calculation steps for known total distance

S4: Steps for calculating step distance of unknown total distance

S5: Steps to estimate lung function

Claims (3)

A method for estimating stride length and lung function in six minutes of walking exercise, including: 1. Steps of inputting data: prepare an estimation unit, a pedometer unit and a timing unit in advance. The estimation unit has an input interface and a display interface; input a user's height (H), Weight (W), gender (G) and age (A); among them, the unit of height (H) is centimeters, the unit of weight (W) is kilograms, and the gender (G) is selected from male and female 1. The unit of the age (A) is years; the pedometer unit and the timing unit are both set in the estimation unit; 2. Steps for six-minute walking exercise: After carrying the estimating unit for six-minute walking exercise, it obtains a total number of steps (B); if the total distance (S) after six-minute walking exercise is known, proceed to the following step 3 ; Otherwise, proceed to the following step four; three. Steps for calculating the known total distance: Step distance (D) is calculated by the following formula (1): (Formula 1) Step distance (D) = total distance (S)/total number of steps (B); 4. Steps for calculating the step distance of the unknown total distance: The step distance (D) is calculated by one of the following formulas (2), (3), (4), (5) and formula (6): If gender (G ) Is male, and 20≦age(A)<25, then use formula (2) to calculate: (Formula 2) FEV ₁ pred=-6.1181+0.0519*height(H)+0.0636*age(A); if gender ( G) is male, and 25≦age(A)<99, then use formula (3) to calculate: (Formula 3) FEV ₁ pred=-6.5147+0.0665*height(H)-0.0292*age(A); if gender (G) is female, and 20≦age(A)<25, then use formula (4) to calculate: (Formula 4) FEV ₁ pred=-1.8210+0.0332*height(H)-0.0190*age(A); if Gender (G) is female, and 25≦age (A)<99, then use formula (3) to calculate: (Formula 5) FEV ₁ pred=2.6539+0.0143*height(H)-0.0397*age(A); where , FEV ₁ pred is the predicted value of forced exhalation for one second, in liters; then use the following formula (6) to calculate the step distance (D): (Formula 6) step distance (D)=0.289+0.153*FEV ₁ pred; then the total distance (S) can be calculated by the following formula (7): (formula 7) total distance (S) = step distance (D) * total number of steps (B); five. Pulmonary function estimation steps: Carry out the following formula (8) and formula (9) calculation: (Formula 8) FVC estimated value = -4.249 + 2.255 * step distance (D) + 0.031 * height (H); (Formula 9) FEV ₁ Estimated value=-0.453+0.002*total distance+0.020*weight (W); among them, the estimated value of FVC is the estimated value of forced vital capacity after exercise; the estimated value of FEV _{1 is the} estimated value of forced exhalation for one second after exercise. The method for estimating stride length and lung function by six-minute walking movement as described in claim 1, wherein: the estimating unit is a wrist-fixed portable structure; the input interface is a touch-sensitive interface and is fixed on the wrist Portable structure; The display interface is a touch screen, and is arranged on the wrist in a fixed and portable structure in conjunction with the input interface. The method for estimating stride length and lung function by six-minute walking movement as described in claim 1, wherein the unit of stride length (D) is meters.

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