KR20200084669A - Smart trainer system for strengthening the balancing and deficit muscles of peopoe who are weak in walking - Google Patents

Abstract

Disclosed is a smart trainer system for strengthening balancing and deficit muscles of a person, who is weak in walking, to recover asymmetric exercise ability. According to the present invention, the smart trainer system comprises a platform control board. The platform control board comprises: a first detection module measuring left-right unbalancing power of a pedal unit; a first control module adjusting an asymmetric exercise load of the pedal unit; a second detection module receiving feedback of a position value from a three-dimensional posture controllable seat unit; a second control module applying a signal for controlling posture to an actuator of the seat unit; a communication module transmitting revolutions per minute (RPM) change information of the pedal unit to an external management device and receiving a signal for the asymmetric exercise load and posture control from the management device; and a main control module controlling operation of the first detection module, the first control module, the second detection module, the second control module, and the communication module.

Description

SMART TRAINER SYSTEM FOR STRENGTHENING THE BALANCING AND DEFICIT MUSCLES OF PEOPOE WHO ARE WEAK IN WALKING}

The present invention relates to a smart trainer system for balancing the weak walking and strengthening the missing muscle.

Recently, more than 16 million stroke patients worldwide occur each year. In addition, about 10-15% of patients with degenerative arthritis suffer from prolonged lifespan and aging population, and patients with cardiovascular disease and degenerative arthritis eventually become gait weak due to decreased breathing and muscular strength.

Currently, it is difficult for the underprivileged to receive continuous rehabilitation treatment in a large hospital due to hospital expenses, hospital policies, and the like. Therefore, rather than receiving gait training treatment in nursing homes, the walking weaker is treated with joint movement-oriented or self-healing. In the case of self-healing, exercise opportunities for the walking weaker due to limited circumstances such as risk of falls and need to be accompanied by a guardian Is bound to decrease.

As described above, while the walking walker needs to evaluate athletic performance and the appropriate exercise prescription and effective hospital treatment, the current walking walker has to deal with the medical environment that is difficult for long-term rehabilitation, the physical burden of distant visits, and excessive medical expenses. It lies in the environment.

In addition, an important indicator of the degree of disability in walking and hemiplegic patients is generally determined whether they can walk alone. An important predictor of gait function determination is the evaluation of paralytic quadriceps muscle strength and balance function. That is, when it is possible to walk outdoors, it is usually when the paralysis side is similar to 80% or more of the health side (or tendon side), and when it is impossible to walk on its own, it is when the paralysis side is similar to less than 50% of the tendency side.

In particular, it is known that when a person's muscle strength is weakened, the risk of falls increases 2 times, the risk of developing pneumonia or respiratory disease increases 2 times, and the risk of developing various metabolic syndromes increases 2 times. Therefore, it is necessary for appropriate walking training and aerobic exercise, and safe and effective rehabilitation treatment for walking weakened people with weak muscle strength.

As such, a rehabilitation exercise system that can diagnose, prevent and treat the condition of the walking weak is required as a way for a healthy life of the walking weak and dependents, and it is also possible to improve the environment in which the walking weak is in place. A plan is required.

The present invention has been devised to meet the above-mentioned conventional needs, and an object of the present invention is to provide a smart trainer system used to implement a balancing strengthening technique for restoring asymmetrical athletic performance of a walking person.

Another object of the present invention is to provide a smart trainer system capable of realizing muscle strength for reconstruction and recovery of missing or weakened muscles using the optimal posture control technique of a recumbent rehabilitation exercise device.

A smart trainer system according to an aspect of the present invention for solving the above technical problem is a smart trainer system including a platform control board, wherein the platform control board comprises: a first sensing module for measuring left and right unbalance power of a pedal unit; A first control module for adjusting the asymmetrical motion load of the pedaling unit; A second sensing module that receives a position value from a seat unit capable of 3D posture control; A second control module that applies a signal for posture control to the actuator of the seat unit; A communication module which transmits rotational speed change information per minute to the pedal unit to an external management device and receives signals for the asymmetrical motion load and the posture control from the management device; And a main control module that controls operations of the first detection module, the first control module, the second detection module, the second control module, and the communication module.

In one embodiment, the smart trainer system further includes the pedal unit, the pedal unit comprising: a first sensor for sensing a pedal angle; A second sensor for sensing a pedal load; And a magnetic brake coupled to the pedal, and the operation of the magnetic brake is controlled by a control signal from the platform control board.

In one embodiment, the smart trainer system further includes the seat unit, the seat unit, the height and backrest angle of the chair on one end of the base, the height of the pedal on the other end of the base, and the distance between the chair and the pedal And one or more actuators for adjustment.

In one embodiment, the signal for the asymmetrical exercise load is used to adjust the unbalanced exercise load for enhanced balancing. In addition, the signal for posture control is used to strengthen the binding muscles.

In one embodiment, the signal for posture control is used to lower the high load according to the difference between the left and right pedaling unbalanced loads so that the pedaling of both feet is performed under the same load.

In one embodiment, the signal for posture control is based on the comparison of the muscle activity measured based on the EMG sensor and the preset normal or reference muscle activity, and the posture of the recumbent rehabilitation exercise device so that muscles having relatively low muscle activity are exercised. It is used to control the pedaling load.

The signal for posture control includes the independent variable and the dependent variable values related to the posture control based on the correlation function formula or the summarized data that determines a specific exercise posture according to the load degree of the left and right pedaling unbalance loads, and the independent variable And a control error according to the value of the dependent variable.

In one embodiment, the signal for posture control may be generated based on a result of measuring muscle activity or changes in cerebral blood flow and comparing and evaluating the degree of improvement before and after exercise on a recumbent rehabilitation exercise device.

The operation method of the smart trainer system according to another aspect of the present invention for solving the above technical problem is an operation method of the smart trainer system performed in a user terminal connected through a network to the smart trainer system, and uses the left and right unbalance power of the pedal unit. Receiving a corresponding first signal, a second signal corresponding to a change in revolutions per minute of the pedal unit, and a third signal corresponding to a feedback position value of a seat unit capable of three-dimensional posture control; The first signal, the second signal, the third signal or the like of the first device, the second signal, the third signal or the like on the management device that records the user's exercise information using the smart trainer system and generates an active control signal based on the stability and usefulness of the smart trainer system Transmitting change information; And receiving an active control signal of the smart trainer system for the user from the management device, adjusting an asymmetrical motion load of the pedaling unit based on the active control signal through a preset asymmetrical exercise prescription protocol, and 3 of the seating unit. And generating and transmitting one or more control signals for dimensional attitude control to the platform control board of the smart trainer system.

According to the present invention described above, it is possible to provide a balance-enhancing all-in-one rehabilitation exercise device for walking weak people, which implements asymmetric capability measurement, muscle strength, abortion, complex exercise, and the like. That is, it is possible to provide a smart trainer system capable of balancing rehabilitation exercise by evaluating the asymmetric exercise ability of the tendon and the affected leg and controlling the unbalanced exercise load of the left and right pedals accordingly.

In addition, according to the present invention, it is possible to provide a customized rehabilitation posture and exercise prescription protocol based on EMG (electromyography) and evaluation of the disability muscle level of the walking weak person through a smart trainer system. That is, it is possible to provide an optimal posture control exercise prescription protocol for strengthening weakened muscles based on EMG through evaluation of muscle activity and cerebral blood flow change according to pedaling posture.

In addition, according to the present invention, it is possible to provide an exercise device for strengthening the lower extremity muscle with optimal posture control for selective muscle strengthening of the missing muscle. In addition, it is possible to provide a convenient and safe aerobic rehabilitation exercise device with three-dimensional posture adjustment and pain reduction structure for each body type. In addition, it is possible to provide a smart monitoring system for feedback and continuous exercise management using exercise history and result data.

In addition, according to the present invention, it is possible to provide a rehabilitation exercise platform capable of actively adjusting asymmetric loads, and a smart trainer method using a smart device equipped with an exercise prescription training program linked to the rehabilitation exercise platform.

In addition, according to the present invention, it is possible to provide a customized rehabilitation exercise platform that combines IT (information technology) technology, sports science technology, and medical technology as a home-trained trainer device for the ambulatory. In addition, it is possible to provide a tailored rehabilitation training trainer system that is implemented by balancing equipment for the walking weak and strengthening muscle strength technology for missing muscles as a single device. In addition, it is possible to provide a customized exercise guide and an exercise management system that feeds back the results as a safe exercise system that exercises in a relaxed or lying position to relieve pain.

1 is a schematic block diagram of an overall configuration of a smart trainer system according to an embodiment of the present invention.
FIG. 2 is a block diagram of the platform control board of the smart trainer system of FIG. 1.
3 is a view for explaining a pedaling posture of a recumbent that can be employed in the smart trainer system of FIG. 1.
FIG. 4 is a view for explaining a pedaling force-related variable applied to the smart trainer system of FIG. 1.
5 is a view for explaining a basic load adjustment mechanism that can be employed in the smart trainer system of FIG. 1.
6 is a view for explaining the main operation of the platform control board of the smart trainer system of FIG.
7 and 8 are diagrams for explaining a method of adjusting the load according to the pedaling posture that can be employed in the smart trainer system of FIG. 1.
9 is a diagram illustrating a flow between application configuration and activity that can be employed in the platform control board of the smart trainer system of FIG. 1.
FIG. 10 is a diagram for explaining a user interface configuration employable in a smart device of the smart trainer system of FIG. 1.

Specific structural or functional descriptions of the embodiments according to the concept of the present invention disclosed in this specification are exemplified only for the purpose of explaining the embodiments according to the concept of the present invention, and the embodiments according to the concept of the present invention It can be implemented in various forms and is not limited to the embodiments described herein.

Embodiments according to the concept of the present invention can be applied to various changes and can have various forms, so the embodiments will be illustrated in the drawings and described in detail herein. However, this is not intended to limit the embodiments according to the concept of the present invention to specific disclosure forms, and includes all modifications, equivalents, or substitutes included in the spirit and scope of the present invention.

The terms used in this specification are only used to describe specific embodiments, and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly indicates otherwise. In this specification, terms such as “comprises” or “haves” are intended to indicate the presence of features, numbers, steps, actions, components, parts, or combinations thereof described herein, one or more other features. It should be understood that the existence or addition possibilities of fields or numbers, steps, actions, components, parts or combinations thereof are not excluded in advance.

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

1 is a schematic block diagram of an overall configuration of a smart trainer system according to an embodiment of the present invention. FIG. 2 is a block diagram of the platform control board of the smart trainer system of FIG. 1.

Referring to FIG. 1, the smart trainer system 100 according to the present embodiment includes a recumbent rehabilitation exercise device 10, a smart device 50 and a server device 70. The smart device 50 and the server device 70 may be referred to as external management devices. The recumbent rehabilitation exercise device 10 includes a pedal unit 20, a seat unit 30 and a platform control board 40.

The smart trainer system 100 measures the left and right unbalance power of the walking weak person using the pedal unit 20 on the platform control board 40 to balance the walking weak and strengthen the missing muscle, and the seat unit capable of controlling the 3D posture The position value is fed back from 30, the revolution information per minute of the pedal unit 20 is transmitted to an external management device, a control signal for asymmetric exercise load and posture control is received from the management device, and in response to the control signal Alternatively, the asymmetric movement load of the pedal unit 20 is adjusted based on the control signal, and the actuator of the seat unit 30 is controlled to control the posture of the seat unit 30.

Looking at the recumbent rehabilitation exercise device 10 in more detail, the pedal unit 20 includes a first sensor that senses a pedal angle, a second sensor that senses a pedal load, and a magnetic brake 22 that is coupled to the pedal. do.

The seat unit 30 includes one or more actuators for adjusting the height and back angle of the chair on one end of the base, the height of the pedal on the other end of the base, and the distance between the chair and the pedal.

The platform control board 40 is provided with a communication module and a control device, and the control device is connected to a plurality of detection modules and control modules, and a correlation function formula or theorem for determining a specific movement posture according to the load degree of the left and right pedaling unbalance loads The pedal unit 20 and the seat unit 30 are generated by generating control signals reflecting control errors according to the independent variable and dependent variable values, including the independent variable and the dependent variable values related to the posture control based on the generated data. Can be controlled.

As shown in FIG. 2, the platform control board 40 includes a processor 41, a memory 42, a sensing interface 43, an actuator control 44, and a Bluetooth unit. 45), an LED display unit (LED display, 46), and a power unit (power, 47).

The processor 41 drives or controls components of the recumbent rehabilitation exercise device 10 of the smart trainer system by executing a program stored in its own storage means or memory 42, and transmits and receives signals and data to/from an external management device. Control. The processor 41 may include a central processing unit (CPU) or core.

The memory 42 is provided by a first sensing module that measures left and right unbalance power of the pedal unit 20, a first control module that adjusts an asymmetrical motion load of the pedal unit 20, and a seat unit 30 capable of three-dimensional posture control. A second sensing module that receives a position value feedback, a second control module that applies a signal for posture control to the actuator of the seat unit 30, transmits and manages rotational speed change information per minute of the pedal unit 20 to an external management device A communication module that receives a control signal for asymmetric movement load and posture control from the device, and a main control that controls the operation of the first detection module, first control module, second detection module, second control module, and communication module. You can save the module.

The sensing interface 43 is configured to receive a detection signal from sensors A, sensor B, and sensor C attached to the pedal unit 20 and the seat unit 30 or to detect a signal measured by the sensors. The signal received or sensed by the sensing interface 43 may be input to the processor 41.

The actuator control unit 44 is configured to control the operation of the actuators (actuator A, actuator B, actuator C) coupled to the pedal unit 20 and the seat unit 30 according to the control signal from the processor 41.

Since the Bluetooth unit 45, the LED display unit 46, and the power unit 47 are well known, detailed descriptions of these components will be omitted. However, the Bluetooth unit 45 can be replaced with another short-range wireless communication unit as an example of the short-range wireless communication unit, and the LED display unit 46 is an optical for displaying the power state, operating state, etc. of the platform control unit 40. It can be replaced with other output devices such as output and audio output, and the power unit 47 includes a power line or wiring, a built-in battery, an external commercial power supply, or an adapter or power converter connected to the battery. can do.

Referring to FIG. 1 again, the smart device 50 connected to the recumbent rehabilitation exercise device 10 receives rotational speed change information per minute of the pedal unit 20 from the platform control board 40, and the pedal unit 20. Alternatively, the server unit 70 inputs or transmits a change in the seat unit 30. To this end, the smart device 50 is provided with a hemiplegic exercise evaluation protocol and an asymmetric exercise prescription protocol, and can directly transmit signals and data between the platform control board 40 and the server device 70 or convert signals and data. have.

The smart device 50 may have a separate dedicated mobile device form, but is not limited thereto, and may have an application form mounted on a mobile terminal of a user, that is, a walking weak person or its guardian. The platform control board 40 and the smart device 50 may be connected to each other through a short-range wireless communication network such as Bluetooth.

The server device 70 stores the change information received from the smart device 50 in the exercise record database and controls for active control through an active control algorithm that secures the stability and usefulness of the recumbent rehabilitation exercise device 10 based on the conversion information Outputs signal or control information. Here, the smart device 50 transmits control signals or control information for active control from the server device 70 to the platform control board 40. The server device 70 may be a computing device that is connected to an exercise record database or has an exercise record database and is equipped with an active control algorithm.

When the above-described recumbent rehabilitation exercise device 10 is used, it is possible to maintain an optimized exercise posture through posture adjustments such as a chair back angle, a pedal distance, and a pedal height according to patient information stored in advance. In addition, it is possible to measure and store user bio signals such as heart rate, oxygen saturation, electrocardiogram and blood pressure during exercise. In addition, it is possible to prescribe (adjust the exercise load) a personalized rehabilitation exercise training protocol according to the user's exercise function evaluation and exercise ability and biometric information. In addition, it is possible to display the patient's heart rate, oxygen saturation, electrocardiogram, blood pressure, and other biometric information and exercise information in real time through a user terminal such as a smart pad or monitor or a smart device 50. In addition, it can contribute to determining or predicting diseases such as arrhythmia and myocardial infarction by analyzing data such as biosignal information and exercise information generated during exercise. In particular, it is possible to provide an intelligent trainer system for balancing the walking weak and strengthening the missing muscle.

3 is a view for explaining a pedaling posture of a recumbent that can be employed in the smart trainer system of FIG. 1. FIG. 4 is a view for explaining a pedaling force-related variable applied to the smart trainer system of FIG. 1.

The smart trainer system of this embodiment is made to allow a walking weak person to perform rehabilitation exercises at an optimal position according to muscle activity patterns for each muscle in a lying position through a recumbent rehabilitation exercise device. To this end, the management device of the smart trainer system may be equipped with a training prescription protocol for evaluating the athletic ability of the missing muscle and training posture for each exercise posture.

The management device may include a platform control mode or an external management device connected to the platform control board.

As shown in FIG. 3, the smart trainer system is a means for adjusting a back angle in which a hip angle and a knee angle are reflected to adjust an optimal pedaling posture, an actuator, or a pedal shaft spacing is reflected. Means or actuators for adjusting the saddle position, and means or actuators for adjusting the pedal shaft height reflecting the knee angle and ankle angle may be provided.

According to the posture control configuration of the seat unit described above, it is possible to calculate a variable related to the pedaling force of the left and right pedals of the walking weak person. Variables are radial force, tangential force, resulting force, angle between radial force and tangential force, pedal angle, crank torque ( crank torque) and crank length (see FIG. 4).

The load regulation mechanism of the smart trainer system of this embodiment for implementing the above-described configuration will be described with reference to FIGS. 5 and 6 as follows. 5 is a view for explaining a basic load adjustment mechanism that can be employed in the smart trainer system of FIG. 1. 6 is a view for explaining the main operation of the platform control board of the smart trainer system of FIG.

The smart trainer system of this embodiment senses the pedal angle according to one revolution of the pedal in the pedal unit used by the walking weak and measures the pedal load for each sensed pedal angle. Then, based on the measured crank angle and load curve of the pedal as shown in FIG. 5, pedal unbalance load is added and posture control is performed to balance the walking weak and strengthen the deficit muscles.

To this end, in this embodiment, a disc brake is installed on the pedal shaft pulley and an electromagnet for load adjustment coupled to the disc brake is installed, and an origin sensing hole for a zero angle of the pedal shaft and a sensor and a hole sensing the rotation angle of the pedal shaft. Use to measure the pedal angle, and adjust the unbalanced exercise load using an electromagnet according to the measured pedal angle.

In addition, the smart trainer system of the present embodiment adds an unbalanced load of the pedal so that the load of the left and right pedals is equalized in the pedal unit used by the walking weak person according to the degree of disability of the left and right of the walking weak person as shown in FIG. 6. That is, the right and left crank angles corresponding to the pedal angles of the right pedal and the left pedal are measured and the resultant force corresponding to the effective torque N measured at each angle, It can be adjusted by adding or reducing the unbalanced exercise load of the pedal according to the degree of obstacles that do not influence the right or left to match or approach the preset criteria.

Adjustment of the unbalanced exercise load, for example, when the left exercise load is smaller than the right exercise load, lowers the exercise load on the relatively healthy side so that the left exercise load and the right exercise load are the same, so that pedaling on both feet is comfortable at the same exercise load. Can be implemented.

The above-described addition of the unbalanced load of the pedal can be achieved through control of the magnetic brake installed in the pedal unit. The smart trainer system's recumbent rehabilitation exercise mechanism is equipped with a drive control mechanism and an electromagnet circuit for controlling the magnetic brake to add an unbalanced load to the pedal using the magnetic brate. In addition, a circuit for unbalance control of the pedaling load and a driving algorithm for driving the circuit are applied to the recumbent rehabilitation exercise mechanism.

As described above, in this embodiment, the pedal angle is sensed and the exercise load is adjusted according to the pedal angle. That is, it is made to adjust the unbalanced exercise load for each pedal angle. For this effect, the magnetic brake is used in this embodiment, but is not limited thereto.

7 and 8 are diagrams for explaining a method of adjusting the load according to the pedaling posture that can be employed in the smart trainer system of FIG. 1.

The smart trainer system of this embodiment, as shown in Figure 7, the position sensor or position displacement sensor coupled to the brake disk (brake disk) is a control board or a signal corresponding to the signal for measuring the position or rotation angle of the brake disk Transmission to the platform control board, the control board is made to increase or decrease the load of the brake disk by transmitting a control signal to the drive driver to adjust the electromagnet (electromagnet) or load adjustment electromagnet coupled to the drive driver. Can.

In addition, the smart trainer system of this embodiment is made to control the optimal position according to the muscle activity pattern for each muscle in a lying position, as shown in FIG. 8. To this end, the pedal unit of the recumbent rehabilitation exercise device that allows a user to lie down is provided with a brake disc coupled to the pedal shaft and a rotation angle of the brake disc disposed on the edge of the brake disc and corresponding to the pedal angle or pedal angle. It has sensing holes for measurement, a position sensor for measuring the rotation angle of the brake disk, and an electromagnet for load adjustment that is coupled to the brake disk and operates to increase or decrease the rotational load of the brake disk.

Muscle activity or muscle activity is measured by an electromyography (EMG) sensor that is attached to the patient. The muscle activity may exhibit different values depending on the degree of muscle use according to the recumbent posture. In particular, in the recumbent posture, since the sitting position or pedaling angle varies depending on the type of posture, the muscles used are different, so the degree of muscle use can be subdivided through muscle activity.

As described above, in the present embodiment, the muscle activity of the patient is measured and compared to the muscle activity of the normal person corresponding to the patient, so that muscles having relatively low muscle activity of the patient can be exercised more intensively.

9 is a diagram illustrating a flow between application configuration and activity that can be employed in a platform control board or a smart device of the smart trainer system of FIG. 1. 10 is a view for explaining a user interface configuration of a smart device that can be employed in the smart trainer system of FIG. 1.

The platform control board of the smart trainer system according to the present embodiment may control or manage training for balancing the walking weak and strengthening the deficit muscle through a series of processes.

That is, as illustrated in FIG. 9, the platform control board may manage user information according to user settings (S91) and perform platform attitude adjustment and other control management according to platform settings. (S92). In addition, the platform control board is a training main (trainingmain) exercise evaluation and rehabilitation exercise in the main menu (S93) settings or user input, such as the evaluation of the evaluation of the exercise function (inspection), asymmetric muscle exercise, such as muscle exercise ( muscle training), aerobic training such as asymmetric aerobic exercise (aerobic training), asymmetric complex exercise such as complex training (complex training) can be performed, as well as training records (training history) can be managed (S94).

The above-mentioned platform control board can interwork with a smart device. Such a smart device may display a state of a recumbent rehabilitation exercise device and a user's state in conjunction with a platform control board and provide a user input window or a user interface for generating control signals related thereto. In addition, the smart device may apply, for example, Android-based Bluetooth (Bluetooth 4.0) and relay or support an efficient communication configuration of a central device or a peripheral device. When such a smart device is used, the state of the recumbent rehabilitation exercise device and the status of asymmetric left and right exercise ability can be displayed on the screen to obtain visual effects and excellent user convenience.

More specifically, as illustrated in FIG. 10, the smart device may be implemented to divide the left and right regions of the screen and display comparisons (for example, left 75: right 15) and diagramming of the left and right pedaling states. For example, values measured by the left ergometer installed on the left side of the device according to the slope of the pedal or chair (referred to simply as'recumbent slope') of the recumbent rehabilitation exercise device, for example, exercise function evaluation (power display), required RPM, current RPM , Current power, pedal angular speed, required power, etc. are displayed in the left region of the screen, and values measured by the right ergometer installed on the right side of the device are displayed in the right region of the screen. Can.

In addition, the smart device includes a first signal corresponding to the left and right unbalance power of the pedal unit from the platform control board of the smart trainer system, a second signal corresponding to the change in revolutions per minute of the pedal unit, and a seat unit capable of 3D posture control. It may be implemented to receive a third signal corresponding to the feedback position value.

In addition, the smart device, the first signal, the second signal, the third signal or the server device that records the exercise information of the user using the smart trainer system and generates an active control signal based on the stability and usefulness of the smart trainer system or It can be implemented to transmit their change information.

In addition, the smart device receives the active control signal of the smart trainer system for the user from the server device corresponding to the central device or the peripheral device, and receives the asymmetrical motion load of the pedal unit based on the active control signal through a preset asymmetrical exercise prescription protocol. It may be implemented to generate one or more control signals for adjustment or one or more control signals for 3D posture control of the seat unit and transmit them to the platform control board.

Using the smart trainer system according to the above-described embodiment, it is possible to measure muscle activity and cerebral blood flow for each posture of the user. For example, muscle activity and cerebral blood flow velocity according to the recumbent slope during exercise may be investigated. The recumbent slope can be set to upright, 65°, 47°, 30° and 15°. The exercise intensity can start with the initial 50W and proceed to a protocol that increases by 25W every 2 minutes to 150W. The user's biosignal can be measured using a wireless surface electromyography, a cerebral blood flow velocity meter, or the like.

In addition, if the smart trainer system according to the above-described embodiment is used, an exercise prescription can be performed based on ENG, and objective near-physiological criteria can be measured and evaluated using EMG. In that case, an intelligent rehabilitation exercise for the walking weak is possible through an efficient exercise protocol based on near-physiological criteria rather than subjective strength of the individual. In addition, by combining the EMG standard and the recumbent cycle exercise, it can contribute to effectively examining variables such as satisfaction, symptoms, pain, and quality of life.

As a tool for measuring symptoms, pain, and quality of life, the questionnaire SF-36 can be used, and the physiological measurement variables measure muscle activity and the rate of blood flow in the middle cerebral artery expressed by EMG, and statistical processing is performed using a two-way ANOVA. Can.

In addition, according to the present invention, since the asymmetric exercise capability evaluation is possible, it is possible to conduct a pre-evaluation for setting the condition for the side-side/paralysis-side exercise, and objective objective deviations in both sides, such as power (watt) and maximum RPM, for each of the lower and lower limbs. It can be checked and applied to the smart trainer instructions. That is, when applying an exercise prescription, an appropriate angle, an evaluation mode, and an appropriate exercise load for each exercise goal may be determined or presented.

In addition, the smart trainer system for the balance of the walking weak and strengthening the deficit muscle of the present embodiment objectively evaluates the asymmetric exercise ability of the walking weak, checks the objective deviation of the bilateral function according to the degree of defect, and sets the target value according to the exercise mode Based on the setting, the recumbent angle according to the degree of muscle strength deficit, the variation in rotational ability, and the correlation between exercise load and maintenance speed, etc., to strengthen the balancing for recovery of the walking weak and strengthen the deficit muscle for the recovery of the asymmetric exercise ability It can be applied effectively.

In addition, according to the present invention, the exercise intensity of the asymmetric exercise program can be quantified using the heart rate, which is an objective index of exercise load. For example, based on the maximum heart rate (HRmax) and the stable heart rate (HRrest), the target heart rate (Borg's rating of perceived exertion (RPE) 12-14) is based on Karvonen's heart rate reserve. The corresponding heart rate) can be obtained.

Target heart rate=[(HRmax-HRrest)×0.40~0.85]+HRrest

In addition, according to the present invention, the exercise intensity of an asymmetric exercise program can be quantified by using the maximum oxygen consumption and heart rate, which are indicators for setting the prescription intensity of exercise, and the patient can gradually apply exercise intensity and apply it. So you can implement a training protocol.

The asymmetric exercise program protocol may be based on checking the patient's obesity, muscle mass, and fat mass after registering the patient's hemiplegic side, stroke type, height, weight, and onset date. In addition, the asymmetric exercise program protocol may be implemented to finish the preliminary exercise and the rearrangement exercise with stretching and low-intensity cycle exercise to prevent the patient's musculoskeletal system damage and prevent stiffness and muscle fatigue due to stroke.

In addition, in this embodiment, an unbalanced recumbent cycle is used to determine various control modes and target force, exercise time, and exercise speed protocols, whereby muscle mass and muscle strength can be achieved by sitting cycle exercise in the elderly and stroke patients with muscular dystrophy and osteoporosis. It can help to prevent decline and improve daily living skills.

In addition, according to the present embodiment, by applying an exercise program set through an exercise evaluation protocol, whether or not improvement in gait speed, gait distance, balance, etc., and muscle loss or muscle strength index, cardiopulmonary function, muscle activity, arteriosclerosis It can contribute to looking at improvement. In this case, it is possible to provide an effective method for balancing and strengthening the missing muscles for a variety of target groups such as patients with chronic disease or patients with a placebo of the unilateral leg due to aging, fracture of the elderly patient, knee joint replacement, hip replacement, etc. Can.

Currently, rehabilitation treatment for stroke patients consists of aerobic exercise using each expensive special equipment, such as a walking robot, underwater treadmill, and weightless treadmill, which reduces the patient's exercise load, and muscular exercise using pneumatic and eccentric equipment. According to the present embodiment, it has the advantage of being able to safely perform aerobic exercise and strength training at the same time through low-cost recumbent cycle equipment, and has the advantage of prescribing customized exercise that changes the exercise load according to the patient's exercise function recovery. .

According to this embodiment, it is possible to provide a smart trainer system for comprehensive functions such as hemiplegic (inferior) lower extremity muscle strength, tendon lower extremity muscle strength, slope movement, stair climbing effect, and body posture adjustment.

In addition, according to the present embodiment, it is possible to perform a comprehensive rehabilitation exercise by easily installing it in a nursing home hospital or a dementia center, which is difficult to provide various rehabilitation facilities, such as a large hospital. Stroke patients with uncomfortable mobility can perform comprehensive rehabilitation exercises at home after discharge from the hospital, which is effective in helping patients and their families quality of life.

In addition, although a recumbent cycle (with an ergometer) is a safe and efficient aerobic exercise device for stroke patients who are difficult to walk, it is difficult to perform exercise with proper exercise intensity due to a decrease in leg muscle strength due to hemiplegia when using a general cycle to assist paralyzed muscle strength. Aerobic exercise skills should be implemented. In the case of the prior art, in the case of functional electrical stimulation, only exercise up to 30 rpm is possible, so it is impossible to prescribe a customized exercise for the patient, and it is difficult to apply it to various stroke patients. However, in the present embodiment, it is possible to provide a system capable of effectively training balancing and strengthening the deficit muscle to improve exercise and brain plasticity in hemiplegic patients.

According to the present embodiment described above, it is possible to provide a mechanism for fine adjustment of the unbalanced exercise load for enhancing the balance of the walking weak. In addition, it is possible to provide an exercise posture positioning algorithm and a control circuit for strengthening the deficit muscles of the walking weak. In addition, it is possible to provide a smart training method for a smart device for evaluating the mobility of the walking weak and implementing a training prescription protocol.

In addition, according to this embodiment, it is possible to accumulate and systematize muscle muscle activity and cerebral blood flow measurement results of muscles used for each pedaling angle. In addition, it is possible to provide a method for prescribing exercise based on electromyography (EMG) of gait patients and hemiplegic patients. In addition, medical evaluation results of the lower ergometer exercise protocol according to the degree of hemiplegia can be provided. In addition, it is possible to provide on-the-job effectiveness evaluation for exercise prescriptions and clinical trial results for small researchers.

Although the present invention has been mainly described with reference to the embodiments with reference to the drawings, it is only an example, and it is obvious that various modifications and equivalent other embodiments are possible from those skilled in the art. Therefore, the true technical protection scope of the present invention should be defined by the technical spirit of the appended claims.

Claims (6)

As a smart trainer system including a platform control board,
The platform control board,
A first sensing module measuring left and right unbalance power of the pedal unit;
A first control module for adjusting the asymmetrical motion load of the pedal unit;
A second sensing module that receives a position value from a seat unit capable of 3D posture control;
A second control module that applies a signal for posture control to the actuator of the seat unit;
A communication module that transmits rotational speed change information per minute to the pedal unit to an external management device and receives signals for the asymmetrical motion load and the posture control from the management device; And
A main control module that controls operations of the first detection module, the first control module, the second detection module, the second control module, and the communication module;
Smart trainer system comprising a. The method according to claim 1,
Further comprising the pedal unit, the pedal unit,
A first sensor that senses the pedal angle;
A second sensor for sensing a pedal load; And
It has a magnetic brake coupled to the pedal,
The operation of the magnetic brake is a smart trainer system controlled by a control signal of the platform control board. The method according to claim 2,
The seat unit further includes a seat unit, the seat unit having a height and a backrest angle on a base, a pedal height on the other end of the base, and one or more actuators for adjusting a distance between the chair and the pedal, Smart trainer system. The method according to claim 3,
The signal for the posture control is used to lower the high load according to the difference between the left and right pedaling unbalanced loads, so that the pedaling of both feet is performed at the same load in accordance with the low load, the smart trainer system. The method according to claim 4,
The signal for the posture control controls the posture and pedaling load of the recumbent rehabilitation exercise device so that the muscles with relatively low muscle activity are exercised according to the comparison result of the muscle activity measured based on the EMG sensor and the preset normal or reference muscle activity. Smart trainer system used to do it. The method according to claim 1,
The management device includes a smart device and a server device connected to each other through a network, and the smart device includes:
From the platform control board of the smart trainer system, the first signal corresponding to the left and right unbalance power of the pedal unit, the second signal corresponding to the change in revolutions per minute of the pedal unit, and the feedback position value of the seat unit capable of three-dimensional posture control A third signal to be received,
The first signal, the second signal, the third signal or the server signal to record the exercise information of the user using the smart trainer system and generate an active control signal based on the stability and usefulness of the smart trainer system or Transmit their change information,
One or more control signals for receiving the active control signal of the smart trainer system for the user from the server device and adjusting the asymmetrical motion load of the pedal unit based on the active control signal through a preset asymmetrical exercise prescription protocol, or A smart trainer system that generates and transmits one or more control signals for 3D posture control of the seat unit to the platform control board.

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