TWI646943B - Method for screening for muscular dysfunction through functional fitness - Google Patents

Abstract

The invention discloses a method for screening muscle spasm through functional physical fitness, which is to enable a subject to walk a predetermined distance around an object after sitting on the carrier, and when the subject sits up from the carrier, the first The sensing module generates a first sensing signal. When the subject completes the walking around the object and then sits in the first sensing module, the first sensing module ends the first sensing signal. When the computing unit receives the first sensing signal, it defines a starting time around the object walking. When receiving the end of the first sensing signal, it is defined as the end time around the object walking, and calculates the required time to walk around the object. Time, and then judge whether the time is greater than 9.1 seconds, and if the judgment result is yes, it is determined that the subject is a high-risk patient suffering from sarcopenia, and the moderate health exercise can delay the incidence of sarcopenia, thereby achieving the early stage. Screening for early prevention.

Description

Method for screening for muscular dysfunction through functional fitness

The invention relates to a method for screening muscle dysfunction through functional fitness, in particular to a technique for screening muscle dysfunction which can achieve the early prevention effect of screening.

According to the disease of skeletal muscle mass and loss of function, it can be called sarcopenia; elderly people diagnosed with sarcopenia are very likely to cause physical weakness if they have decreased activity and weight. In recent years, both sarcopenia and weakness have been regarded as symptoms of senile illness, and the mechanism of dystrophy includes age-related factors, endocrine changes, nutrition, disuse and immobility, and neurodegeneration. Products that are affected by the interaction between disease and age have multiple causes, leading to an increased mobility disorder, increased falls, disability, and even death.

Furthermore, according to the current medical system for the definition of sarcopenia can be discussed from the following three aspects:

1. Muscle mass, currently used in clinical practice is dual energy X-ray absorptionmetry (DXA); or Bio-impedance analysis (BIA). The body muscle mass is generally assessed by the skeletal muscle mass index of the limbs. The algorithm is the mass of the skeletal muscles of the limbs divided by the square of the height. If the ASM/ht2 is lower than the average standard deviation of the younger group or the lowest 20% of the study population, the cut point of the muscle mass of the muscle is defined. The former has a cut point of 6.76 kg/m2 for men and 5.28 kg/m2 for women. For men 7.09 Kg/m2, female 5.70kg/m2.

2. Muscle strength, currently the most commonly used method in clinical practice is the use of a grip to measure handgrip strength.

3. Ability to act, according to the recommendations of the EU Minisis Working Group, calculate the normal gait speed and use the short physical performance battery (SPPB), which can be used for clinical practice or research purposes. If the elderly over the age of 65 walks at a speed of less than 0.8 meters per second, the possibility of sarcopenia needs to be further examined.

In addition, the 2013 Asian Working Group for Sarcopenia (AWGS) Consensus Conference proposed a set of criteria for Asians to diagnose sarcopenia based on the EWGSOP's definition of muscle strength. The amount of muscle is measured at the male point, whether measured by DXA or BIA. 7.0 kg / m ² , but the female DXA and BIA measurement cut points are 5.4 kg / m 2 and 5.7 kg / m ² . The standard value of the gripper used for body-measuring grip strength is <26 kg for men and <18 kg for women, and the average walking speed is <0.8 m/s.

Most medical institutions are equipped with relevant medical testers and testing equipment such as DXA and BIA to detect whether elderly patients suffer from sarcopenia. Although large hospitals can generally determine whether the elderly patients have the effect of sarcopenia; however, the current establishment of medical personnel in medical institutions in Taiwan is generally insufficient, resulting in medical institutions becoming a sweatshop that seriously exploits human resources. It has seriously affected the medical quality of medical institutions.

In order to solve the above-mentioned lack of medical manpower shortage, the related art field has developed a patent such as the new type M549603 "Myozoa Ultrasonic Detection System", which is mainly based on the measurement of walking speed. Screening, the walking distance is 10 meters, but the general community or elder activity space is often not enough to set up this type of equipment, or; or It is measured by high-end muscle mass testing equipment used in medical institutions, but the equipment is expensive and difficult to carry. Therefore, it is often late in the diagnosis of myasthenia, even if it is difficult to return to the original muscle mass through proper exercise. . On the other hand, the elders of the general community will conduct a functional fitness test for half a year to measure whether the functions of their physical activities are normal. Therefore, it is a long-term tracking method for the burden of elders or communities. It is said to be the lightest. Therefore, how to develop a set of techniques for detecting muscle dysfunction that combines the detection of functional fitness to achieve early screening prevention has become a challenge and solution for the medical and medical industry. Technical issues

According to the knowledge, up to now, there has not been a patent or paper that can be combined with the functional physiology and pre-screen detection techniques, and the invention is based on the urgent needs of related industries. After continuous efforts, people and others have finally developed a set of inventions different from the above-mentioned prior art.

The main object of the present invention is to provide a method for screening for muscular dysfunction through functional fitness, mainly by combining functional fitness and pre-screening detection, so that patients with high risk of dystrophy can borrow Moderate healthy exercise can delay the incidence of sarcopenia, and even restore the original muscle mass, thus achieving the early prevention effect of the early screening. The technical means adopted for achieving the main purpose of the present invention is to enable the subject to walk a predetermined distance around the object after the carrier is seated, and the first sensing module generates a first sense when the subject sits up from the carrier. The first sensing module ends the first sensing signal when the subject finishes sitting in the first sensing module after walking around the object. When the computing unit receives the first sensing signal, it defines a start time for walking around the object, and when receiving the end of the first sensing signal, it is defined as Around the end time of the object walking, and calculate the time required to walk around the object, and then determine whether the time is greater than 9.1 seconds, and the judgment result is yes, the subject is determined to be a high-risk patient suffering from sarcopenia.

10‧‧‧bearers

11‧‧‧ Chair sitting

12‧‧‧ Backrest

13‧‧‧Cushion

20‧‧‧ objects

30‧‧‧First sensing module

31‧‧‧Second Sensing Module

40‧‧‧First Signal Communication Module

50‧‧‧Computation unit

50a‧‧‧Portable electronic device

50b‧‧‧ computer

51‧‧‧Second signal communication module

60‧‧‧Power supply unit

70‧‧‧ fixed frame

71‧‧‧ Height adjustment mechanism

Fig. 1 is a schematic view showing the implementation of the detecting action of the first embodiment of the present invention.

Fig. 2 is a schematic view showing the implementation of the detecting action of the second embodiment of the present invention.

Fig. 3 is a schematic view showing another embodiment of the detecting operation of the second embodiment of the present invention.

Fig. 4 is a schematic view showing the implementation of the detecting action of the third embodiment of the present invention.

FIG. 5 is a schematic diagram of a detection flow of a third embodiment of the present invention.

Figure 6 is a functional block diagram of the first and third embodiments of the present invention.

Figure 7 is a functional block diagram of a second embodiment of the present invention

In order to allow the reviewing committee to further understand the overall technical features of the present invention and the achievement of the object of the present invention, it will be described in detail with reference to the specific embodiments and drawings:

Referring to Figures 1 and 6, the first embodiment for achieving the main object of the present invention includes the following steps:

(a) preparation step: providing a carrier 10, an object 20, a first sensing module 30, a computing unit 50 (such as a microcontroller MCU, a computer, a tablet, a smart phone; or a computer and The combination of the tablet is used; but not limited thereto) and a power supply unit 60 for supplying the required power.

(b) a first detecting step: causing the subject to make a plurality of sitting operations using the carrier 10 for a first predetermined time (about 29 to 31 seconds; preferably 30 seconds), and first feeling The measuring module 30 senses the subject to sit on the carrier 10 to generate a first sensing signal. When the subject sits up from the carrier 10, the first sensing module 30 generates a first sensing signal. When the subject sits in the carrier 10, the first sensing module 30 ends the first sensing signal.

(c) a second detecting step: causing the subject to walk around the object 20 after the seat 10 is seated for a predetermined distance (about 2.44 meters), and when the subject sits up from the carrier 10, the first feeling The first sensing module 30 ends the first sensing signal when the measuring module 30 is triggered to generate the first sensing signal. When the subject completes the walking around the object 20 and then sits on the carrier 10 again.

(d) determining step: when the first detecting step receives the first sensing signal and ends the first sensing signal, the calculating unit 50 defines the first starting point and the first time of the sitting operation once (ie, one cycle) At the end of the time, and calculating the first time required for each of the points from the first start point to the first end point in the first preset time. In addition, when the first sensing signal is received by the second detecting step, the calculating unit 50 is defined as a second starting time point around the object 20, and when the first sensing signal is received, it is defined as surrounding the object 20 The second end time of walking, and calculating the second time required for walking from the first starting point to the second ending point, and then calculating the walking speed of the subject according to a walking speed calculation formula, when the walking speed is lower than a pre-prevention When the speed (about 0.7 m/s to 0.9 m/s; preferably 0.8 m/s) is set, the subject is judged to be a suspected myasthenia patient.

Specifically, the above calculation formula of the walking speed is as follows: walking speed=[(preset distance×2)/(first time-second time)].

In addition, in the embodiment shown in FIG. 1, the carrier 10 of the present invention may be Chairs with an international standard of 43.18 cm. The first sensing module 30 transmits the first sensing signal through the wired or wireless first signal communication module 40 (such as a Bluetooth or WIFI transceiver module), and the computing unit 50 has a built-in computing application. The portable electronic device 50a (such as a smart phone or a tablet); or the computer 50b, and the second signal communication module 51 built in the portable electronic device 50a (such as a Bluetooth or WIFI transceiver module) Group) to receive the first sensing signal, and perform the first stage of operations (such as the first and second detection steps), and then transmit the detection operation result to the computer 50b to perform the second stage of operation (eg The operation of the judgment step), in order to obtain the relevant data information. In addition, it should be noted that, when the computing application is executed, a detection data, a determination information, and an operation interface may be displayed on the display screen of the computing unit 50, wherein the operation interface may display the first detection step mode and the second detection step mode. For the user to select the operation settings.

Referring to FIGS. 2 to 3 and FIG. 7, the second embodiment for achieving the main object of the present invention includes the following steps:

(a) preparation step: providing a carrier 10, an object 20, a first sensing module 30, a second sensing module 31, a computing unit 50 (such as a microcontroller MCU, a computer, a tablet) , a smart phone; or a combination of a computer and a tablet; but not limited thereto, and a power supply unit 60 for supplying the required power.

(b) a first detecting step: causing the subject to make a plurality of sitting operations using the carrier 10 for a first predetermined time (about 29 to 31 seconds; preferably 30 seconds), and first feeling The measuring module 30 senses the subject to sit on the carrier 10 to generate a first sensing signal, and then senses the standing motion of the subject leaving the carrier 10 by the second sensing module 31 to generate a second sensing signal. .

(c) a second detecting step: causing the subject to sit around the object after the carrier 10 is seated 20 walking a predetermined distance (about 2.44 meters), when the subject sits up from the carrier 10, the first sensing module 30 is triggered to generate a first sensing signal, when the subject completes the surrounding object When the vehicle 10 is seated again after walking, the first sensing module 30 ends the first sensing signal.

(d) judging step: when the first sensing step and the second sensing signal are received by the calculating unit 50, the calculating unit 50 defines the first starting time point and the first time of the sitting operation once (ie, one cycle). At the end point, the first time required for the average of each point from the first start point to the first end point for the first preset time is calculated. In addition, when the first sensing signal is received by the second detecting step, the calculating unit 50 is defined as a second starting time point around the object 20, and when the first sensing signal is received, it is defined as surrounding the object 20 The second end time of walking, and calculating the second time required for walking from the first starting point to the second ending point, and then calculating the walking speed of the subject according to a walking speed calculation formula, when the walking speed is lower than a pre-prevention When the speed (about 0.7 m/s to 0.9 m/s; preferably 0.8 m/s) is set, the subject is judged to be a suspected myasthenia patient.

Specifically, the above calculation formula of the walking speed is as follows: walking speed=[(preset distance×2)/(first time-second time)].

In the first application embodiment of the present invention, the carrier 10 includes a seat 11 and a backrest 12. The backrest 12 is provided with a fixing bracket 70. The bracket 70 has a height adjusting mechanism 71 with a height adjustment function. In addition, the first sensing module 30, the power supply unit 60, and the first signal communication module 40 are disposed in the seat cushion 13 as shown in FIGS. 2 to 3, and the seat cushion 13 is configured to be seated on the carrier 10. 11 , the second sensing module 31 is disposed on the fixing frame 70 . Specifically, the first sensing module 30 can be a pressure gauge or a micro switch; or a reflective photoelectric switch. The second sensing module 31 is a reflective photoelectric switch. The above fixing frame 70 The height of the head of the subject can be adjusted according to the height of the subject, and when the subject rises from the carrier 10, the first sensing module 30 is triggered to be the first to leave the seat 11 The sensing signal, when the subject is seated in the carrier 10, the first sensing signal is terminated by stopping the triggering of the first sensing module 30; on the other hand, when the subject is standing to the positioning, The second sensing module 31 is triggered by the head to generate the second sensing signal; that is, the optical signal emitted by the second sensing module 31 is reflected by the head.

Furthermore, in the embodiment shown in FIG. 2 to FIG. 3, the first sensing module 30 and the second sensing module 31 of the present invention are transmitted through the first signal communication module 40 (such as a Bluetooth or WIFI transceiver module). The first sensing signal and the second sensing signal are transmitted, and the computing unit 50 is a portable electronic device 50a (such as a smart phone or a tablet) and a computer 50b having a computing application built therein, and is The second signal communication module 51 (such as a Bluetooth or WIFI transceiver module) built in the portable electronic device 50a receives the first sensing signal and the second sensing signal, and performs the first stage operation (such as The operation of the first and second detection steps is performed, and the detection operation result is transmitted to the computer 50b to perform the second stage operation (such as the operation of the determination step), thereby obtaining the relevant data information.

Specifically, as shown in the following Table 1, which is a comparison table of body mass index (BMI) and grip strength built in the calculation unit 50, the comparison table includes a plurality of different body mass index (BMI), each The body mass index (BMI) corresponds to a preset grip strength value. For example, the male first line BMI is 22.1 or less, and the BMI corresponds to a grip strength of 25 kg. For example, the female first line BMI is 22.3 or less, and the BMI corresponds to The grip strength is 14.6 kg. When the subject determines that the patient is suspected to have myasthenia gravis, the subject uses the dynamometer to measure the grip strength of the dominant hand. When the subject's grip strength is lower than the preset grip strength corresponding to the body mass index BMI. At the time, the subject is determined to be a high-risk patient suffering from sarcopenia. As for the body mass index BMI, the calculation method is: BMI = weight (kg) / height ² .

Referring to Figures 4-6, the third embodiment for achieving the main object of the present invention includes the following steps:

(a) preparation step: providing a carrier 10, an object 20, a first sensing module 30, a computing unit 50 (such as a microcontroller MCU, a computer, a tablet, a smart phone; or a computer and a tablet) The combination of the computers is used; but not limited thereto) and a power supply unit 60 for supplying the required power.

(b) detecting step: the subject is allowed to walk around the object 20 after the seat 10 is seated for a predetermined distance (about 2.44 meters), and when the subject sits up from the carrier 10, the first sensing mode The group 30 generates a first sensing signal. When the subject finishes sitting on the carrier 10 after walking around the object 20, the first sensing module 30 is triggered to end the first sensing signal.

(c) judging step: when the first sensing signal is received by the calculating unit 50, it is defined as the starting point around the walking of the object 20, and when the first sensing signal is received, it is defined as the end of the walking around the object 20. At the time point, and calculate the time required to walk from the start point to the end point, and then determine whether the time is greater than 8~10 seconds (preferably 9.1 seconds), and if the judgment result is yes, the subject is determined to be a suspected muscular dystrophy patient. .

Specifically, as shown in Table 1 above, which is a comparison table of body mass index (BMI) and grip strength built in the calculation unit 50, the comparison table includes a plurality of different body mass index (BMI), each A body mass index (BMI) corresponds to a preset grip strength value, for example, the first line BMI of the male is 22.1 or less, and the grip strength corresponding to the BMI is 25 kg; for example, the first line BMI of the female is 22.3 or less, corresponding to the BMI. The grip strength is 14.6 kg. When the subject determines that the patient is suspected to have myasthenia gravis, the subject uses the dynamometer to measure the grip strength of the dominant hand. When the subject's grip strength is lower than the preset grip strength corresponding to the body mass index BMI. At the time, the subject is determined to be a high-risk patient suffering from sarcopenia. As for the body mass index BMI, the calculation method is: BMI = weight (kg) / height ² .

Therefore, after detailed description of the above specific embodiments, the present invention can be constructed by combining functional fitness and pre-screening detection, so that patients with high risk of dystrophy can delay muscles by moderately healthy exercise. The incidence of minor illness can even be restored to the original muscle mass, thus achieving the effect of early screening prevention.

The above is only a possible embodiment of the present invention, and is not intended to limit the scope of the patents of the present invention, and the equivalent implementations of other changes according to the contents, features and spirits of the following claims should be It is included in the patent of the present invention. The invention is specifically defined in the structural features of the request item, is not found in the same kind of articles, and has practicality and progress, has met the requirements of the invention patent, and has filed an application according to law, and invites the bureau to approve the patent according to law to maintain the present invention. The legal rights of the applicant.

Claims (9)

A method for screening for muscular dysfunction by functional fitness, comprising the steps of: (a) preparing a step: providing a carrier, an object, a first sensing module, and a computing unit; (b) a detecting step: causing a subject to use the carrier to make a plurality of sitting operations by using the carrier within a first preset time, and sensing the subject by using the first sensing module Sitting and standing to generate a first sensing signal, when the subject sits up from the carrier, the first sensing module generates the first sensing signal, when the subject sits in the bearing When the object is in use, the first sensing module ends the first sensing signal; (c) a second detecting step: causing the subject to walk a predetermined distance around the object after sitting on the carrier, when the The first sensing module generates the first sensing signal when the subject sits up from the carrier, and the first feeling is obtained when the subject completes sitting around the object after walking around the object. The measuring module ends the first sensing signal; and (d) the determining step: the calculating unit receives the first feeling in the first detecting step The signal and the end of the first sensing signal are defined as a first starting time point and a first ending time point of a sitting operation, and calculating each time from the first starting time to the first preset time The first time required for the average of the first end time point; when the second sensing step receives the first sensing signal, the computing unit is defined as the second starting time point around the object walking, when the end is received The first sensing signal is defined as a second ending time around the object, and calculates a second time required to travel from the second starting point to the second ending point, and then calculates a formula according to a walking speed. The walking speed of the subject is obtained. When the walking speed is lower than a preset speed, the subject is determined to be a suspected myasthenia patient. A method of screening for muscular dysfunction by functional fitness, which comprises the following steps: (a) preparing step: providing a carrier, an object, a first sensing module, a second sensing module, and a computing unit; (b) a first detecting step: causing a subject to utilize the bearing The first sensing module generates the first sensing signal by using the carrier to perform the seating operation for several times in a first preset time period, and sensing, by the first sensing module, the subject to sit on the carrier. And the second sensing module senses the standing motion of the subject to leave the carrier to generate a second sensing signal; (c) the second detecting step: causing the subject to sit after the carrier The first sensing module generates the first sensing signal when the subject is seated from the carrier, and the first sensing module generates the first sensing signal after the subject completes walking around the object. When the carrier is seated, the first sensing module ends the first sensing signal; and (d) the determining step: the calculating unit receives the first sensing signal and the first in the first detecting step When the second sensing signal is defined as the first starting time point and the first ending time point of the sitting motion, the first pre-calculation is calculated. a first time required for each time from the first start time to the first end time point; the calculating unit is defined as surrounding the first sensing signal when the second detecting step is received At the second starting point of the object walking, when the first sensing signal is received, it is defined as a second ending time around the object, and the walking point is calculated from the second starting point to the second ending point. The second time is required, and the walking speed of the subject is obtained according to a walking speed calculation formula. When the walking speed is lower than a preset speed, the subject is determined to be a suspected muscular dystrophy patient. The method for screening for muscular dysfunction by functional fitness according to claim 1 or 2, wherein the walking speed calculation formula is expressed as follows: walking speed = [(preset distance × 2) / (first Time - second time)]. The method of claim 1, wherein the carrier comprises a seat and a backrest, and the backrest is provided with a height adjusting function fixing frame. A sensing module is disposed on the seat of the carrier, and the second sensing module is disposed on the fixing frame. The method for screening for muscular dysfunction by functional fitness according to claim 1 or 2, wherein the first sensing module is selected from one of a pressure gauge, a micro switch, and a reflective photoelectric switch, The second sensing module is a reflective photoelectric switch. The method for screening for muscular dysfunction by functional fitness according to claim 1 or 2, wherein the first preset time is 29 to 31 seconds; and the preset speed is 0.7 m/s to 0.9 m/ s. A method for screening for muscular dysfunction by functional fitness, comprising the steps of: (a) preparing a step: providing a carrier, an object, a first sensing module and a computing unit; (b) detecting Step: a seated person walks around the object and walks a predetermined distance around the object. When the subject sits up from the carrier, the first sensing module generates the first sensing a first sensing module that ends the first sensing signal when the subject completes walking around the object, and (c) determining step: the computing unit receives the The first sensing signal is defined as the starting point around the walking of the object. When the first sensing signal is received, it is defined as the ending point around the walking of the object, and is calculated from the starting point to the point. At the end of the time required to walk, and then determine whether the time is greater than 8 to 10 seconds, and the judgment result is yes, it is determined that the subject is a suspected myasthenia patient. The method for screening for muscular dysfunction by functional fitness according to claim 1, 2 or 7, wherein the calculation unit has a comparison table of body mass index (BMI) and grip strength, the control The table includes a plurality of different body mass indexes, each of which corresponds to a predetermined grip strength value; when the subject determines that the patient is suspected of having a hypothyroidism, the subject is caused to use a gravimeter to measure the habit. The grip strength value of the hand, when the grip strength value of the subject is lower than the preset grip strength value corresponding to the body mass index, the subject is determined to be a high-risk patient suffering from sarcopenia. The method of screening for muscular dysfunction by functional fitness according to claim 1, 2 or 7, wherein the predetermined distance is 2.44 meters.