WO2020242009A1

WO2020242009A1 - Spinal motion analysis system and spinal motion analysis method

Info

Publication number: WO2020242009A1
Application number: PCT/KR2020/001688
Authority: WO
Inventors: 정선근; 김기원; 이준녕; 최민석
Original assignee: 서울대학교산학협력단
Priority date: 2019-05-29
Filing date: 2020-02-06
Publication date: 2020-12-03
Also published as: KR102245204B1; KR20200137255A

Abstract

The present invention relates to a spinal motion analysis system and a spinal motion analysis method. The spinal motion analysis system comprises: a spinal posture measurement sensor, which is attached to at least any one point from among the thoracic vertebrae, the lumbar vertebrae, and the sacral vertebrae and can measure the positioning and the motions of the attached point in roll, pitch, and yaw directions; a parameter derivation unit capable of deriving a first parameter on the basis of data measured by the spinal posture measurement sensor; and a control unit for determining a spinal state by analyzing the first parameter derived through the parameter derivation unit, and the spinal motion analysis method comprises: a data collection step of collecting data through the spinal posture measurement sensor; a first parameter derivation step of deriving the first parameter through the parameter derivation unit; and a determination step of determining the spinal state of a subject through the control unit.

Description

Spinal motion analysis system and spine motion analysis method

The present invention relates to a spine motion analysis system and a spine motion analysis method, and more particularly, to determine a spine condition by deriving a parameter from one or more of data measured through a spine posture measurement sensor, an EMG sensor, and an abdominal pressure sensor. It relates to a spinal motion analysis system and a spinal motion analysis method that can be identified.

In general, a very large number of people experience low back pain, with 70-85% of the population experiencing back pain at least once in their lifetime, with an annual prevalence of back pain of 15-45% and an average prevalence of 30% at any given time. . Not only is the prevalence of low back pain very high in life, but there is also a problem that lowers the quality of life due to pain and activity restrictions, and hinders economic activity.

Therefore, preventing and treating back pain is a very important task in improving the quality of life and minimizing the economic difficulties caused by the loss of labor. Spinal disease that causes low back pain begins with a small endplate injury or annular tear and progresses through a repetition of continuous re-injury and incomplete recovery throughout life.

Incorrect posture and movement damage mechanical connective soft tissue (MCST), and MCST lesions affect posture and movement. Therefore, if posture and movement can be quantitatively measured, it is very helpful in evaluating MCST lesions. However, the biomechanical measurement method has the disadvantage of taking up a lot of time, labor, and space, and it is not widely used clinically because it is difficult to see that the posture and movement measured at a specific time and environment reflect the individual's daily posture and movement. There is a problem that cannot be done.

Accordingly, it is necessary to develop a sensor system that can measure posture and movement in everyday life and work situations, and it is necessary to develop a biomechanical index that can determine the state of the spine by analyzing data obtained through the sensor system.

The present invention is to solve the above-described problem, and in more detail, it is possible to determine the state of the spine by deriving a parameter through one or more of data measured through a spine posture measurement sensor, an EMG sensor, and an abdominal pressure sensor. It relates to a spinal motion analysis system and a spinal motion analysis method.

The spinal motion analysis system of the present invention for solving the above-described problem is attached to at least one of the thoracic, lumbar, and sacral vertebrae, and is attached to the roll, pitch, and yaw direction. A spinal posture measurement sensor capable of measuring posture and movement; A parameter derivation unit capable of deriving a first parameter through data measured by the spine posture measurement sensor; And a control unit for determining a state of the spine by analyzing the first parameter derived through the parameter derivation unit.

The spine posture measurement sensor of the spine motion analysis system of the present invention for solving the above-described problem may include a tri-axial accelerometer sensor, a gyroscope sensor, and a magnetometer sensor. .

The spinal motion analysis system of the present invention for solving the above-described problems includes an EMG sensor that is attached to the trunk muscle and can measure the activity of the trunk muscle, and an abdominal pressure sensor that is attached to the abdomen and can measure abdominal pressure. It further includes, wherein the parameter derivation unit may derive the first parameter through at least one of data measured by the spine posture measurement sensor, the EMG sensor, and the abdominal pressure sensor.

The parameter derivation unit of the spine motion analysis system of the present invention for solving the above-described problem derives a plurality of first parameters, combines the plurality of first parameters to derive a second parameter, and the control unit comprises: By analyzing the second parameter, the state of the spine can be determined.

The spinal posture measurement sensor of the spinal motion analysis system of the present invention for solving the above-described problem is attached to two or more points, and the first parameter is an average spinal lordosis angle and a square average spinal lordosis angular velocity, and the average spinal lordosis The angle is a value obtained by integrating the vertebral lordosis angle, which is the difference between the angles measured at two points through the spine posture measurement sensor, for a specified time interval and dividing it by a specified time interval, and the square mean vertebral lordosis angular velocity is, It may be a value obtained by taking the square root after dividing the angular velocity for a specified time interval by squaring the angular velocity of the vertebrae from which the angle was differentiated, and dividing it by the specified time interval.

The second parameter of the spinal motion analysis system of the present invention for solving the above-described problem is a spinal lordosis robustness index, and the spinal lordosis robustness index is a value obtained by dividing the average spinal lordosis angle by the square average spinal lordosis angular velocity. have.

The first parameter of the spine motion analysis system of the present invention for solving the above-described problem is an instantaneous vertebral lordosis angle and an instantaneous vertebral lordosis angular velocity, and the instantaneous vertebral lordosis angle represents a spine lordosis angle at a specified time point, The spinal lordosis angular velocity may be the spinal lordosis angular velocity at a designated time point.

The second parameter of the spine motion analysis system of the present invention for solving the above-described problem is an instantaneous vertebral lordosis robustness index, and the instantaneous vertebral lordosis robustness index is a value obtained by dividing the instantaneous vertebral lordosis angle by the instantaneous vertebral lordosis angular velocity. I can.

The first parameter of the spinal motion analysis system of the present invention for solving the above-described problem is a roll direction spine range of motion, and the roll direction spine range of motion is a maximum spinal dystrophy with a specific time interval or a specific motion progress time. It may be the difference between the angle and the minimum spinal lordosis angle.

The spine motion analysis system of the present invention for solving the above-described problem may further include a feedback unit that receives information determined by the control unit and transmits a signal to a subject through the received information.

The spine motion analysis method of the present invention for solving the above-described problem is attached to at least one of the thoracic, lumbar, and sacral vertebrae, and is attached to the roll, pitch, and yaw direction. A data collection step of collecting data through a spinal posture measurement sensor capable of measuring posture and movement; A first parameter derivation step of deriving a first parameter from the data measured in the data collection step through a parameter derivation unit; And a determination step of determining the state of the spine of the subject through a control unit capable of determining the state of the spine through the first parameter.

The spine posture measurement sensor of the spine motion analysis method of the present invention for solving the above-described problem may include a tri-axial accelerometer sensor, a gyroscope sensor, and a magnetometer sensor. .

The data collection step of the spinal motion analysis method of the present invention for solving the above-described problem includes an EMG sensor attached to the trunk muscle and capable of measuring the activity of the trunk muscle, and attached to the abdomen, and measuring abdominal pressure. And collecting data through an abdominal pressure sensor capable of performing, and the step of deriving the first parameter may include any one of data measured by the spinal posture measurement sensor, the EMG sensor, and the abdominal pressure sensor through the parameter derivation unit. The first parameter may be derived from one or more data.

The first parameter derivation step of the spinal motion analysis method of the present invention for solving the above-described problem is to derive a plurality of first parameters through the parameter derivation unit, and combine the plurality of first parameters through the parameter derivation unit. The second parameter derivation step of combining the second parameters by doing so may further include, wherein the determining step may determine the state of the spine by analyzing the second parameter through the control unit.

The spinal posture measurement sensor of the spinal motion analysis method of the present invention for solving the above-described problem is attached to two or more points, and the first parameter is an average spinal lordosis angle and a square average spinal lordosis angular velocity, and the average spinal lordosis The angle is a value obtained by integrating the vertebral lordosis angle, which is the difference between the angles measured at two points through the spine posture measurement sensor, for a specified time interval and dividing it by a specified time interval, and the square mean vertebral lordosis angular velocity is, It may be a value obtained by taking the square root after dividing the angular velocity for a specified time interval by squaring the angular velocity of the vertebral vertebrae from which the angle was differentiated, and dividing it by the specified time interval.

The second parameter of the spinal motion analysis method of the present invention for solving the above-described problem is a spinal lordosis robustness index, and the spinal lordosis robustness index is a value obtained by dividing the average spinal lordosis angle by the square average spinal lordosis angular velocity. have.

The first parameter of the spinal motion analysis method of the present invention for solving the above-described problem is an instantaneous vertebral lordosis angle and an instantaneous vertebral lordosis angular velocity, and the instantaneous vertebral lordosis angle represents a spine lordosis angle at a specified time point, The spinal lordosis angular velocity may be the spinal lordosis angular velocity at a designated time point.

The second parameter of the spinal motion analysis method of the present invention for solving the above-described problem is an instantaneous vertebral lordosis robustness index, and the instantaneous vertebral lordosis robustness index is a value obtained by dividing the instantaneous vertebral lordosis angle by the instantaneous vertebral lordosis angular velocity. I can.

The first parameter of the spinal motion analysis method of the present invention for solving the above-described problem is a roll direction spine range of motion, and the roll direction spine range of motion is a maximum spinal dystrophy with a specific time interval or a specific motion progress time. It may be the difference between the angle and the minimum spinal lordosis angle.

The spine motion analysis system of the present invention for solving the above-described problem may further include a feedback step of receiving information determined through the determination step and transmitting a signal to a subject through the received information.

The present invention relates to a spinal motion analysis system and a spinal motion analysis method, and the spine lordosis, spinal stability index, spinal instability index, etc. through at least one of data measured through a spine posture measurement sensor, an electromyogram sensor, and an abdominal pressure sensor. There is an advantage of being able to determine the state of the spine by deriving the first parameter of and deriving the second parameter by combining the first parameter.

In addition, the present invention can be applied to the public without individual input constants by determining the state of the spine through the first parameter and the second parameter, and has the advantage of enabling quantitative analysis of the state of the spine through the first parameter and the second parameter. .

1 is a view showing that the spine posture measurement sensor according to an embodiment of the present invention is attached to at least one of a thoracic, lumbar, and sacral spine.

2 is a diagram illustrating that a spine posture measurement sensor, an electromyogram sensor, and an abdominal pressure sensor are attached to a subject according to an embodiment of the present invention.

3 is a block diagram of a spine motion analysis system according to an embodiment of the present invention.

4(a) to 4(f) are spinal lordosis angles, average spinal lordosis angles, vertebral lordosis angular velocity, squared average lordosis angular velocity, spinal lordosis robustness index, roll direction range of according to an embodiment of the present invention. This is an expression representing motion.

FIG. 5 is a diagram illustrating derivation of spinal lordosis robustness indicators from various motions through a spinal motion analysis system according to an embodiment of the present invention.

6 is a flowchart of a spinal motion analysis method according to an embodiment of the present invention.

Hereinafter, various embodiments of the present invention will be described in connection with the accompanying drawings. Various embodiments of the present invention may be modified in various ways and may have various embodiments. Specific embodiments are illustrated in the drawings and detailed descriptions thereof are provided. However, this is not intended to limit the various embodiments of the present invention to specific embodiments, and it should be understood that all changes and/or equivalents or substitutes included in the spirit and scope of the various embodiments of the present invention are included.

The present invention relates to a spine motion analysis system and a spine motion analysis method, wherein the spine condition can be determined by deriving a parameter through one or more of data measured through a spine posture measurement sensor, an EMG sensor, and an abdominal pressure sensor. It relates to a spinal motion analysis system and a spinal motion analysis method. Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings.

The spine motion analysis system according to an embodiment of the present invention includes a spine posture measurement sensor 110, a parameter derivation unit 120, and a control unit 130. Referring to FIG. 1, the spinal posture measurement sensor 110 is attached to at least one of the thoracic, lumbar, and sacral vertebrae, and is attached to the roll, pitch, and yaw direction. You can measure your posture and movement.

Referring to FIG. 1, three spinal posture measurement sensors 110 according to an embodiment of the present invention may be attached to points T6, T12, and S2 of FIG. 1, but are not limited thereto, and the spine posture The attachment position and the number of attachments of the measurement sensor 110 may be changed according to the purpose of measuring the state of the spine. However, it is preferable that two or more spinal posture measurement sensors 110 are attached to measure a lordotic angle of the spine.

The spine posture measurement sensor 110 is capable of measuring posture and movement in a roll, pitch, and yaw direction of an attached point. Specifically, the spine posture measurement sensor 110 may measure the roll, pitch, angle to yaw, angular velocity, angular acceleration, etc. at the point where the spine posture measurement sensor 110 is attached. I can. (Here, the spine posture measurement sensor 110 includes an acceleration sensor, an angular velocity sensor (gyroscope) and an angular acceleration sensor, and the spine posture measurement sensor 110 may measure an angular acceleration through an angular acceleration sensor, The angular velocity can be measured through the angular velocity sensor, the angular velocity can be obtained by integrating the angular acceleration of the angular acceleration sensor, the angle can be obtained by integrating this angular velocity, and the angle can be obtained by integrating the angular velocity of the angular velocity sensor. A more accurate final angle can be obtained by using the weighted average of the angle calculated by integrating twice at and the angle calculated by integrating once by the angular velocity sensor.)

The spine posture measurement sensor 110 is a 3-axis sensor to measure the roll, pitch, and angle of the yaw, angular velocity, and angular acceleration at the point where the spine posture measurement sensor 110 is attached. It may include a tri-axial accelerometer sensor. In addition, the spine posture measurement sensor 110 may further include a gyroscope sensor and a magnetometer sensor in order to increase the precision of the measurement data value.

The spine motion analysis system according to an embodiment of the present invention may further include an EMG sensor 111 (EMG, Electromyography sensor), and an abdominal pressure sensor 112 (ABT, Abdominal Bracing Trainer sensor). 2 and 3, the EMG sensor 111 is attached to the trunk muscle and can measure the activity of the trunk muscle.

The EMG sensors 111 may be composed of six including four sensors attached to the abdomen, and each two are symmetrical to the rectus abdominis muscles, obliquus abdominis muscles, and erector spinae muscles. It can be attached to measure the activity of each muscle muscle. However, the number and location of the EMG sensors 111 are not limited thereto, and may be changed according to the type of trunk muscle to be measured and the number of trunk muscles. For example, the EMG sensor 111 may be attached to an internal oblique muscle, an external oblique muscle, and an erector spinae muscle among trunk muscles.

The abdominal pressure sensor 112 may be formed of a belt-shaped sensor worn on the abdomen, and may measure abdominal pressure through the abdominal pressure sensor 112. The abdominal pressure measured by the abdominal pressure sensor 112 may be reflected in the average activity of the trunk muscles.

As described above, the spine motion analysis system according to an embodiment of the present invention evaluates the state of the spine through the spine posture measurement sensor 110, the EMG sensor 111, and the abdominal pressure sensor 112 to evaluate the vertebral lordosis and stability. You can provide feedback that can increase your performance. Here, the EMG sensor 111 and the abdominal pressure sensor 112 may be omitted and used as necessary.

Referring to FIG. 3, the parameter derivation unit 120 is capable of deriving a first parameter through data measured by the spine posture measurement sensor 110, and the control unit 130 is the parameter derivation unit 120 ), the state of the spine can be determined by analyzing the first parameter.

The parameter derivation unit 120 may calculate and combine data measured through the spine posture measurement sensor 110 to derive a first parameter. When the spine motion analysis system according to an embodiment of the present invention includes the EMG sensor 111 and the abdominal pressure sensor 112, the parameter derivation unit 120 includes the spine posture measurement sensor 110 and the EMG A first parameter may be derived from one or more of data measured by the sensor 111 and the abdominal pressure sensor 112, and the spine posture measurement sensor 110, the EMG sensor 111, and the abdomen The first parameter may be derived by calculating and combining data measured by the pressure sensor 112.

Specifically, the first parameter derived through the parameter derivation unit 120 may be a spinal lordosis angle, an average spinal lordosis angle, a spinal lordosis angular velocity, and a square average vertebral lordosis angular velocity. 4(a) shows the spine lordosis angle, and the spine lordosis angle may be an angle difference between two points measured through the spine posture measurement sensor 110. (Here, the spinal posture measurement sensor 110 may be attached to two or more of the thoracic, lumbar, and sacral spines.)

4B is an equation representing the average spinal lordosis angle, and the average spinal lordosis angle may be a value obtained by integrating the spinal lordosis angle for a specified time interval and dividing it by a specified time interval. 4(c) is an equation representing the lordosis angular velocity of the spine, and the lordosis angular velocity of the vertebrae can be obtained by differentiating the lordosis angle of the spine.

* Fig.4(d) is an equation representing the square mean vertebral lordosis angular velocity, and the square mean vertebral lordosis angular velocity is the vertebral lordosis angular velocity obtained by differentiating the vertebral lordosis angle by squaring and integrating for a specified time interval, and It may be a value obtained by taking a square root after dividing by an interval.

However, the first parameter is not limited thereto, and may be various parameters. The first parameter may be a minimum vertebral lordosis angle and a maximum vertebral lordosis angle, which are minimum and maximum values of the vertebral lordosis angle measured during a specific time, and may be an initial vertebral lordosis angle, which is the vertebral lordosis angle immediately before performing a specific motion. .

In addition, the first parameter may be the average bending angular velocity defined as the absolute value of the average vertebral lordosis angular velocity during a time period in which the vertebral lordosis angular velocity is negative, and is defined as the minimum value in which the vertebral lordosis angular velocity is negative during a specific time or specific motion. It may also be the maximum bending angular velocity to be obtained. (Here, the average bending angular velocity and the maximum bending angular velocity may not exist when the angular velocity of the lordosis does not occur within a corresponding time or motion.)

In addition, the first parameter may be an instantaneous vertebral lordosis angle and an instantaneous vertebral lordosis angular velocity, and the instantaneous vertebral lordosis angle represents the vertebral lordosis angle at a specified time point, and the instantaneous vertebral lordosis angular velocity represents the vertebral lordosis angular velocity at a specified time point. I can.

Specifically, referring to Figures 4(b) and 4(c), the instantaneous vertebral lordosis angle and the instantaneous vertebral lordosis angular velocity are not calculated as an average between specified time intervals, but are obtained at a specified time point (corresponding time point). Can be. (The instantaneous vertebral lordosis angular velocity can be obtained by setting a very short interval between specified time intervals. For example, the specified time interval may be about 0.025 seconds.)

In addition, the first parameter may be a range of motion of a spine in a roll direction defined as a difference between a maximum vertebral lordosis angle and a minimum vertebral lordosis angle during a specific time interval or a specific exercise duration.

Specifically, referring to FIG. 4(f), the roll direction spine range of motion is the maximum spinal lordosis angle (max{lumbar lordosis(t _i ≤ t ≤ t _f )}) and the minimum spine between specific motions or time intervals. It can be obtained by the difference of the lordosis angle (min{lumbar lordosis(t _i ≤ t ≤ t _f )}), and in the case of cyclic motion such as walking, the difference between the maximum vertebral lordosis angle and the minimum vertebral lordosis angle within one cycle It may be what is saved. (Here, t _i : initial time of motion, t _f : final time of motion.)

In addition, the first parameter is average spine lateral bending, minimum spine lateral bending, maximum spine lateral bending, initial spine lateral bending, average spine axial twist, minimum spine axial twist, maximum spine axial twist, initial spine axial twist, average extension angular velocity, Maximum extension angular velocity, square mean spine lateral bending angular velocity, mean spine lateral bending angular velocity, maximum lateral bending angular velocity, square mean spine axial twist angular velocity, mean spine axial twist angular velocity, maximum axial twist angular velocity, square mean vertebral lordosis angular acceleration, mean bending angular acceleration, Maximum bending angular acceleration, average extension angular acceleration, maximum extension angular acceleration, square mean spine lateral bending angular acceleration, mean spine lateral bending angular acceleration, maximum spine lateral bending angular acceleration, pitch direction range of motion, square mean spine axial twist angular acceleration, mean spine axial twist angular acceleration, It can be the maximum spinal axial twist angular acceleration, the range of motion in the yaw direction, the activity of each trunk muscle, and the abdominal pressure.

The parameter derivation unit 120 according to an exemplary embodiment of the present invention may derive a plurality of first parameters, combine a plurality of first parameters to derive a second parameter, and the control unit 130 is a second parameter. Analysis of the spine can also be determined.

The second parameter may be derived by combining a plurality of first parameters, and the second parameter may be a spinal lordosis robustness index. 4(e) shows the spinal lordosis robustness index, and the spinal lordosis robustness index may be derived through the average vertebral lordosis angle and the square average vertebral lordosis angular velocity, which are first parameters.

Specifically, the spinal lordosis robustness index may be a value obtained by dividing the average vertebral lordosis angle by the square average vertebral lordosis angular velocity. The spinal lordosis robustness index is an index indicating how well lordosis is maintained during a specified time or during exercise of the spine. The unit of the vertebral lordosis robustness index is'second', and the higher the lordosis of the spine becomes larger and stable during the time or exercise, the higher the value. In other words, the better the lordosis of the spine is stably maintained, the higher the index of lordosis robustness is.

In addition, the second parameter may be an instantaneous spinal lordosis robustness index. The instantaneous vertebral lordosis robustness index may be derived through a value obtained by dividing the instantaneous vertebral lordosis angle by the instantaneous vertebral lordosis angular velocity.

Referring to FIG. 3, the spine motion analysis system according to an embodiment of the present invention may further include a feedback unit 140. As described above, the control unit 130 can determine the state of the spine through a first parameter, a second parameter, etc., and the feedback unit 140 receives the information determined by the control unit 130, Through the received information, a signal can be transmitted to the subject.

The feedback unit 140 may include a wireless transmitter 141, a wireless receiver 142, and an operation unit 143. The wireless transmission unit 141 is capable of transmitting the information determined by the control unit 130 to the wireless reception unit 142.

Here, the spine posture measurement sensor 110, the EMG sensor 111, and the abdominal pressure sensor 112 may also wirelessly transmit data to the parameter derivation unit 120, and the parameter derivation unit 120 Parameter information may be wirelessly transmitted to the controller 130. In addition, the feedback unit 140 may also receive a signal from the control unit 130 wirelessly, and may transmit a signal wirelessly.

The wireless receiver 142 may receive information from the wireless transmitter 141 and transmit information to the operation unit 143, and the wireless receiver 142 may be a wearable device, a mobile device, or the like. . The operation unit 143 may receive information from the wireless reception unit 142 and transmit a signal to the subject based on this. The operation unit 143 may be a device that generates sound or may be a device that transmits vibration to a subject.

However, the operation unit 143 is not limited thereto, and may be a variety of devices as long as the subject can recognize a signal. In addition, the operation unit 143 may be a device for activating the trunk muscle or a device for adjusting abdominal pressure. In this case, the operation unit 143 may be provided in the EMG sensor 111 or the abdominal pressure sensor 112, and the operation unit 143 may detect the trunk muscle through information determined by the control unit 130. It can also provide feedback to activate or regulate abdominal pressure.

5 illustrates the spinal lordosis robustness index according to various motions through a motion analysis system according to an embodiment of the present invention. Figure 5 is a sitting and standing on a chair (CS), bending the back (BO), knee bending to pick up (SD), walking (W), stairs up and down (WUS), Squat (S), Wall Plank and Roll ( WPR), Tripod stability (TS) It represents the measurement of the spinal lordosis robustness index for eight dynamic motions.

Referring to FIG. 5, the motion showing the highest spinal lordosis robustness index among the eight motions is WPR, and the motion showing the lowest spinal lordosis robustness index among seven motions excluding TS was measured by bending the waist and picking up. In the case of WPR, the male spinal lordosis robustness index was 2.51±1.53s and the female was 2.94±1.27s. In the case of picking up by bending the back, the index of vertebral lordosis robustness in men was 0.12±0.35s, and 0.22±0.19s in women.

The spine motion analysis system according to an embodiment of the present invention may determine the state of the spine of the testee through the spine lordosis robustness index as described above, and may provide feedback to the testee through this. For example, if the spinal lordosis robustness index is 0.4s or less during a specific motion or a specific time period, feedback such as an alarm may be provided to the user to increase the vertebral lordosis and activate the trunk muscles to perform lumbar stabilization. (Here, the spinal lordosis robustness index, which is a criterion for performing feedback, may be differently defined according to a specific motion and a specific time.)

Specifically, if the cause of the low vertebral lordosis robustness index is that the average vertebral lordosis angle is small, a signal to straighten the back can be sent, and the reason that the vertebral lordosis robustness index is low is because the vertebral instability is large and the square mean vertebral lordosis angular velocity is high. If it is because of its size, you can also give feedback to stabilize the spine by applying force to the trunk muscles.

As described above, the spine motion analysis system according to an embodiment of the present invention may determine the state of the spine by analyzing the first parameter and the second parameter by the control unit 130, and accordingly, may send a feedback to the subject. Here, the criterion for determining the state of the spine through the first parameter and the second parameter by the control unit 130 may be changed according to the type of the first parameter and the second parameter.

For example, in the case of the average vertebral lordosis angle, the index value for men may be measured as 5.00±11.56° and the index value for women may be measured as 12.01±10.38°. From this, feedback to straighten the back can be provided when the average vertebral lordosis angle is less than 8° for men and 15° for women.

In the case of the square mean vertebral lordosis angular velocity, the male index value was 44.36±13.46°/s, and the female index value was 56.12±11.64°. From this, when the mean square lordosis angular velocity is 40°/s for men and 50°/s for women, it is possible to provide feedback to stabilize the spine by applying force to the trunk muscles.

A method of analyzing spine motion through the spine motion analysis system according to the embodiment of the present invention is as follows. The spine motion analysis method according to the embodiment of the present invention determines the spine condition through the spine motion analysis system according to the above-described embodiment of the present invention, and the configuration used in the spine motion analysis method is the same as the spine motion analysis system. Detailed description is omitted. In addition, the features of the spine motion analysis system according to the embodiment of the present invention described above can be applied to all of the spine motion analysis method according to the embodiment of the present invention to be described later.

Referring to FIG. 6, a method for analyzing spine motion according to an embodiment of the present invention includes a data collection step (S110), a first parameter derivation step (S120), and a determination step (S140). The data collection step (S110) is attached to one or more of the thoracic, lumbar, and sacral vertebrae, and can measure the posture and movement of the attached point in the roll, pitch, and yaw direction. This is a step of collecting data through the spine posture measurement sensor 110.

The spine posture measurement sensor 110 may include a tri-axial accelerometer sensor, a gyroscope sensor, and a magnetometer sensor.

In the data collection step (S110), an EMG sensor 111 attached to the trunk muscle and capable of measuring the activity of the trunk muscle, and an abdominal pressure sensor 112 attached to the abdomen and capable of measuring abdominal pressure. It may include the step of collecting data through. In the data collection step (S110), data may be collected from one or more of the spine posture measurement sensor 110, the EMG sensor 111, and the abdominal pressure sensor 112, and if necessary, the EMG The sensor 111 and the abdominal pressure sensor 112 may not be used.

Since the spine posture measurement sensor 110, the EMG sensor 111, and the abdominal pressure sensor 112 have been described above in the spine motion analysis system according to an embodiment of the present invention, detailed descriptions are omitted.

The first parameter derivation step (S120) is a step of deriving a first parameter from the data measured in the data collection step (S110) through the parameter derivation unit 120, and the determination step (S130) is the first parameter This is a step of determining the state of the spine of the subject through the control unit 130 that can determine the state of the spine.

In the step of deriving the first parameter (S120), any one of data measured by the spine posture measurement sensor 110, the EMG sensor 111, and the abdominal pressure sensor 112 through the parameter derivation unit 120 The first parameter can be derived from the above data.

Referring to FIG. 6, the method for analyzing spine motion according to an embodiment of the present invention may further include a second parameter derivation step (S130) and a feedback step (S140 ). In the first parameter derivation step (S120), a plurality of first parameters may be derived through the parameter derivation unit 120, and the second parameter derivation step (S130) is performed by the parameter derivation unit 120. This is a step of combining the second parameters by combining the first parameters.

When the step of deriving the second parameter (S130) is included, the step of determining (S140) may determine the state of the spine by analyzing the second parameter through the control unit 130.

The feedback step (S150) is a step of receiving the information determined through the determination step (S140) and transmitting a signal to the subject through the received information. The feedback step (S150) may be performed through the feedback unit 140 of the above-described spinal motion analysis system, and the feedback unit 140 includes a wireless transmission unit 141, a wireless reception unit 142, and an operation unit 143. It may include. Since the feedback unit 140 has been described above in the spine motion analysis system according to an embodiment of the present invention, a detailed description will be omitted.

The first parameter and the second parameter of the spine motion analysis method according to the embodiment of the present invention are the same as the first parameter and the second parameter of the spine motion analysis system according to the embodiment of the present invention.

In the spinal motion analysis method according to an embodiment of the present invention, the first parameter may be a spinal lordosis angle, an average spinal lordosis angle, a spinal lordosis angular velocity, and a square average vertebral lordosis angular velocity. 4(a) is an equation representing the spine lordosis angle, and the spine lordosis angle may be an angle difference between two points measured through the spine posture measurement sensor 110. (Here, the spinal posture measurement sensor 110 may be attached to two or more of the thoracic, lumbar, and sacral spines.)

Fig. 4(d) is an equation representing the mean square lordosis angular velocity, wherein the square mean vertebral lordosis angular velocity is the vertebral lordosis angular velocity obtained by differentiating the vertebral lordosis angle by squaring and integrating it for a specified time interval. It may be a value obtained by dividing by and taking the square root.

However, the first parameter is not limited thereto, and may be various parameters. The first parameter may be a minimum and maximum vertebral lordosis angle and a maximum vertebral lordosis angle, which are the minimum and maximum values of the vertebral lordosis angle measured during a specific time, and may be an initial vertebral lordosis angle, which is the vertebral lordosis angle just before performing a specific motion. .

In addition, the first parameter may be the average bending angular velocity defined as the absolute value of the average vertebral lordosis angular velocity during a time period in which the vertebral lordosis angular velocity is negative, and is defined as the minimum value in which the vertebral lordosis angular velocity is negative during a specific time or during a specific motion. It may also be the maximum bending angular velocity to be obtained. (Here, the average bending angular velocity and the maximum bending angular velocity may not exist when the angular velocity of the spine does not occur within a corresponding time or motion.)

Specifically, referring to Figs. 4(b) and 4(c), the instantaneous vertebral lordosis angle and the instantaneous vertebral lordosis angular velocity are not obtained as an average between specified time intervals, but obtained at a specified time point (corresponding time point). Can be. (The instantaneous vertebral lordosis angular velocity can be obtained by setting a very short interval between specified time intervals. For example, the specified time interval can be about 0.025 seconds.)

In addition, the first parameter is average spine lateral bending, minimum spine lateral bending, maximum spine lateral bending, initial spine lateral bending, average spine axial twist, minimum spine axial twist, maximum spine axial twist, initial spine axial twist, average extension angular velocity, Maximum extension angular velocity, square mean spine lateral bending angular velocity, mean spine lateral bending angular velocity, maximum lateral bending angular velocity, square mean spine axial twist angular velocity, mean spine axial twist angular velocity, maximum axial twist angular velocity, square mean vertebral lordosis angular acceleration, mean bending angular acceleration, Maximum bending angular acceleration, average extension angular acceleration, maximum extension angular acceleration, square mean spine lateral bending angular acceleration, mean spine lateral bending angular acceleration, maximum spine lateral bending angular acceleration, pitch direction range of motion, square mean spine axial twist angular acceleration, mean spine axial twist angular acceleration, It may be the maximum spinal axial twist angular acceleration, the range of motion in the yaw direction, the activity of each trunk muscle, and the abdominal pressure.

In addition, the second parameter may be an instantaneous vertebral lordosis robustness index. The instantaneous vertebral lordosis robustness index may be derived through a value obtained by dividing the instantaneous vertebral lordosis angle by the instantaneous vertebral lordosis angular velocity.

However, the first parameter and the second parameter are not limited thereto, and other parameters may be used. Since the first parameter and the second parameter have been described above in the spine motion analysis system according to an exemplary embodiment of the present invention, detailed descriptions will be omitted.

The spine motion analysis system and spine motion analysis method according to an embodiment of the present invention have the following effects.

The conventional spine motion analysis system used a method of giving feedback to a subject when the posture of the spine, such as a spine angle, exceeds a specific range without dynamic analysis of the spine. However, such a method does not provide a quantitative index, and there is a problem in that it does not reflect the dynamic analysis of the spine.

To solve this problem, conventionally, biomechanical measurement method is used, but biomechanical measurement method has the disadvantage that it takes up a lot of time, labor, and space, and the posture and movement measured in a specific time and environment are There was a problem in not reflecting posture and movement. In addition, since the biomechanical measurement method requires a complex model and a large number of input constants for each individual, there is a problem that it is difficult to use it for individual spine status determination.

However, the spine motion analysis system and spine motion analysis method according to an embodiment of the present invention include spinal lordosis, spinal stability index, and spinal instability through any one or more of data measured through a spine posture measurement sensor, an electromyogram sensor, and an abdominal pressure sensor. There is an advantage in that the state of the spine can be determined by deriving a first parameter such as an index, and deriving a second parameter by combining the first parameter.

In addition, the spine motion analysis system and spine motion analysis method according to the embodiment of the present invention can be applied to the public without individual input constants as the spine condition is determined through the first parameter and the second parameter. It has the advantage of enabling quantitative analysis of spine status through 2 parameters.

In addition, the spine motion analysis system and spine motion analysis method according to an embodiment of the present invention include kinematic parameters (vertebral posture, angular velocity, angular acceleration, etc.) and kinematic parameters by adding an EMG sensor or an abdominal pressure sensor. According to the comprehensive analysis of (trunk muscle activity, abdominal pressure), there is an advantage of providing feedback to the subject by reflecting dynamic motion as well as static motion of the spine.

In the above, the present invention has been described in detail with reference to a preferred embodiment, but the present invention is not limited to the above embodiment, and various modifications may be provided within the scope not departing from the scope of the present invention. Therefore, the true technical protection scope of the present invention should be determined by the technical spirit of the appended claims.

Claims

In the analysis system for analyzing the motion of the spine of the subject,

A spinal posture measurement sensor that is attached to one or more of the thoracic, lumbar, and sacral spines, and is capable of measuring a posture and movement in a roll, pitch, and yaw direction of the attached point;

A parameter derivation unit capable of deriving a first parameter through data measured by the spine posture measurement sensor;

And a control unit for determining a state of the spine by analyzing the first parameter derived through the parameter derivation unit.
The method of claim 1,

The spine posture measurement sensor,

A spinal motion analysis system comprising a tri-axial accelerometer sensor, a gyroscope sensor, and a magnetometer sensor.
The method of claim 1,

An EMG sensor attached to the trunk muscle and capable of measuring the activity of the trunk muscle,

Attached to the abdomen, further comprising an abdominal pressure sensor capable of measuring abdominal pressure,

The parameter derivation unit derives a first parameter through at least one of data measured by the spine posture measurement sensor, the EMG sensor, and the abdominal pressure sensor.
The method of claim 2,

The parameter derivation unit derives a plurality of first parameters, combines the plurality of first parameters to derive a second parameter,

The control unit analyzes the second parameter to determine a state of the spine.
The method of claim 4,

The spine posture measurement sensor is attached to at least two points,

The first parameter is an average vertebral lordosis angle and a square average vertebral lordosis angular velocity,

The average vertebral lordosis angle is a value obtained by integrating the vertebral lordosis angle, which is a difference value between angles measured at two points through the spine posture measurement sensor, for a specified time interval and dividing it by a specified time interval,

The square mean spinal lordosis angular velocity is a value obtained by taking a square root after dividing the vertebral lordosis angle into a specified time interval by squaring the vertebral lordosis angular velocity derived from the vertebral lordosis angle, and dividing it by a specified time interval.
The method of claim 5,

The second parameter is a spinal lordosis robustness index,

The spinal lordosis robustness index is a value obtained by dividing the average vertebral lordosis angle by the square average vertebral lordosis angular velocity.
The method of claim 4,

The first parameter is an instantaneous vertebral lordosis angle and an instantaneous vertebral lordosis angular velocity,

The instantaneous vertebral lordosis angle represents the vertebral lordosis angle at a designated time point,

The instantaneous vertebral lordosis angular velocity is a spinal motion analysis system, characterized in that representing the vertebral lordosis angular velocity at a designated time point.
The method of claim 7,

The second parameter,

Instant spinal lordosis is an indicator of robustness,

The instantaneous vertebral lordosis robustness index is a value obtained by dividing the instantaneous vertebral lordosis angle by the instantaneous vertebral lordosis angular velocity.
The method of claim 1,

The first parameter is the range of motion of the spine in the roll direction,

The roll direction spine range of motion,

Spinal motion analysis system, characterized in that the difference between the maximum vertebral lordosis angle and the minimum vertebral lordosis angle at a specific time interval or a specific movement time motion.
The method of claim 1,

And a feedback unit that receives the information determined by the control unit and transmits a signal to a subject through the received information.
In the spine motion analysis method using a spine motion analysis system capable of analyzing the spine motion of a subject,

It is attached to one or more of the thoracic, lumbar, and sacral spines, and the data is transmitted through a spinal posture measurement sensor that can measure the posture and movement in the roll, pitch, and yaw directions of the attached point. Collecting data to be collected;

A first parameter derivation step of deriving a first parameter from the data measured in the data collection step through a parameter derivation unit;

And a determination step of determining the state of the spine of the subject through a control unit capable of determining the state of the spine through the first parameter.
The method of claim 11,

The spine posture measurement sensor,

Spinal motion analysis method comprising a tri-axial acceleration (tri-axial accelerometer) sensor, a gyroscope (gyroscope) sensor, a magnetometer (magnetometer) sensor.
The method of claim 11,

The data collection step,

It includes the step of collecting data through an EMG sensor attached to the trunk muscle and capable of measuring the activity of the trunk muscle, and an abdominal pressure sensor attached to the abdomen and capable of measuring the abdominal pressure,

The step of deriving the first parameter comprises deriving a first parameter from one or more of data measured by the spine posture measurement sensor, the EMG sensor, and the abdominal pressure sensor through the parameter derivation unit. Analysis method.
The method of claim 13,

In the step of deriving the first parameter, a plurality of first parameters are derived through the parameter derivation unit,

Further comprising a second parameter derivation step of combining a second parameter by combining a plurality of the first parameters through the parameter derivation unit,

The determining step comprises determining a state of the spine by analyzing the second parameter through the control unit.
The method of claim 14,

The spine posture measurement sensor is attached to at least two points,

The first parameter is an average vertebral lordosis angle and a square average vertebral lordosis angular velocity,

The average vertebral lordosis angle is a value obtained by integrating the vertebral lordosis angle, which is a difference between the angles measured at two points through the spine posture measurement sensor, for a specified time interval and dividing it by a specified time interval

The square mean spinal lordosis angular velocity is a value obtained by taking a square root after dividing the vertebral lordosis angular velocity by squaring the vertebral lordosis angular velocity obtained by dividing the vertebral lordosis angle into a specified time interval and dividing it by a specified time interval.
The method of claim 15,

The second parameter is a spinal lordosis robustness index,

The spinal lordosis robustness index is a value obtained by dividing the average vertebral lordosis angle by the square average vertebral lordosis angular velocity.
The method of claim 14,

The first parameter is an instantaneous vertebral lordosis angle and an instantaneous vertebral lordosis angular velocity,

The instantaneous vertebral lordosis angle represents the vertebral lordosis angle at a designated time point,

The instantaneous vertebral lordosis angular velocity is a spinal motion analysis method, characterized in that representing the vertebral lordosis angular velocity at a designated time point.
The method of claim 17,

The second parameter,

Instant spinal lordosis is an indicator of robustness,

The instantaneous vertebral lordosis robustness index is a value obtained by dividing the instantaneous vertebral lordosis angle by the instantaneous vertebral lordosis angular velocity.
The method of claim 10,

The first parameter is the range of motion of the spine in the roll direction,

The roll direction spine range of motion,

Spinal motion analysis method, characterized in that the difference between the maximum vertebral lordosis angle and the minimum vertebral lordosis angle at a specific time interval or a specific exercise progress time agreement.
The method of claim 10,

And a feedback step of receiving the information determined through the determination step and transmitting a signal to a subject through the received information.