KR102610793B1 - Smart trainer system for strengthening the balancing and deficit muscles of peopoe who are weak in walking - Google Patents

Abstract

A smart trainer system is launched to improve the balance and strengthen deficient muscles of people with walking disabilities. The smart trainer system is a smart trainer system including a platform control board, where the platform control board includes a first detection module that measures the left and right unbalanced power of the pedal unit, a first control module that adjusts the asymmetric exercise load of the pedaling unit, 3 A second detection module that receives position value feedback 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, and transmits information on changes in revolutions per minute of the pedal unit to an external management device. , a communication module that receives signals for asymmetric exercise load and posture control from the management device, and a main control module that controls the operations of the first detection module, first control module, second detection module, second control module, and communication module. Includes.

Description

Smart trainer system for balancing and strengthening deficient muscles in people with walking disabilities {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 and strengthening deficient muscles in people with walking disabilities.

Recently, more than 16 million stroke patients occur worldwide every year. In addition, as life expectancy increases and the population ages, approximately 10 to 15% of people suffer from degenerative arthritis, and these patients with cardiovascular disease and degenerative arthritis eventually become poor walkers due to decreased breathing and muscle strength.

It is currently difficult for people with walking disabilities to receive continuous rehabilitation treatment at large hospitals due to reasons such as hospital costs and hospital policies. Therefore, rather than receiving gait training treatment at a nursing hospital, people with walking disabilities receive treatment focusing on joint exercises or self-treat. In the case of self-treatment, the exercise opportunities for people with walking disabilities are limited due to the limited environment, such as the risk of falling and the need to be accompanied by a guardian. is bound to decrease.

In this way, people with walking disabilities need exercise ability evaluation, appropriate exercise prescriptions, and effective hospital treatment. However, currently people with walking disabilities have to endure the medical environment where long-term rehabilitation is difficult, the physical burden of distant visits, and the burden of excessive medical expenses. It is located in the environment.

In addition, an important indicator of the degree of disability of people with walking disabilities and patients with hemiplegia is generally determined by whether they can walk alone. Evaluation of quadriceps muscle strength and balance function on the paretic side are used as important predictors in determining walking function. In other words, when outdoor walking is possible, it is usually when the paralyzed side is similar to more than 80% of the healthy side (or the healthy side), and when it is impossible to walk on its own, it is when the paralyzed side is similar to less than 50% of the healthy side.

In particular, it is known that when a person's muscles become weak, the risk of falling doubles, the risk of developing pneumonia or respiratory diseases doubles, and the risk of developing various metabolic syndromes doubles. Therefore, walking patients with weakened muscles need appropriate strength training, aerobic exercise, and safe and effective rehabilitation treatment.

As such, as a way to ensure a healthy life for pedestrians and their dependents, a rehabilitation exercise system that can simultaneously diagnose, prevent, and treat the condition of pedestrians is required, and also improve the environment in which pedestrians with disabilities live. A solution is required.

Patent Document 1: Publication of Patent No. 10-2017-0061250 (2017.06.05.) Patent Document 1: Publication of Patent No. 10-2017-0098058 (2017.08.29.)

The present invention has been devised to meet the above-mentioned conventional needs, and the purpose of the present invention is to provide a smart trainer system used to implement balance strengthening technology for recovering asymmetrical motor skills of walking weak people.

Another object of the present invention is to provide a smart trainer system that can implement muscle strengthening for reconstruction and recovery of damaged or weakened muscles using the optimal posture control technology 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 includes: a first detection module that measures the left and right unbalanced power of the pedal unit; A first control module that adjusts an asymmetric exercise load of the pedaling unit; a second detection module that receives position value feedback 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 information on changes in revolutions per minute of the pedal unit to an external management device and receives signals for the asymmetric exercise load and 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, wherein the pedal unit includes: a first sensor that detects a pedal angle; a second sensor that detects 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, wherein the seat unit determines 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. It has one or more actuators for adjustment.

In one embodiment, the signal for the asymmetric exercise load is used to adjust an unbalanced exercise load to strengthen balance. Additionally, the signal for posture control is used to strengthen binding muscles.

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

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

The signal for posture control includes independent and dependent variable values related to posture control based on a correlation function equation or organized data that determines a specific exercise posture depending on the degree of left and right pedaling imbalance load, and the independent variable and control error according to the value of the dependent variable may be further included.

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

A method of operating a smart trainer system according to another aspect of the present invention for solving the above technical problem is a method of operating a smart trainer system performed on a user terminal connected to the smart trainer system through a network, and is performed by controlling the left and right unbalanced 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 management device 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. transmitting change information; And receiving an active control signal of the smart trainer system for the user from the management device, adjusting the asymmetric exercise load of the pedaling unit based on the active control signal through a preset asymmetric exercise prescription protocol, and adjusting the asymmetric exercise load of the seat unit 3 It includes generating one or more control signals for dimensional posture control and transmitting them to the platform control board of the smart trainer system.

According to the present invention described above, it is possible to provide an all-in-one rehabilitation exercise device for strengthening the balance of walking weak people, which implements asymmetric ability measurement, muscle strength, lactic acidity, complex exercise, etc. in one equipment. In other words, it is possible to provide a smart trainer system capable of balancing rehabilitation exercise by evaluating the asymmetric exercise ability of the healthy and affected lower extremities and controlling the unbalanced exercise load of the left and right pedals accordingly.

In addition, according to the present invention, it is possible to evaluate the degree of disabled muscles of walking weak people and provide customized rehabilitation training postures and exercise prescription protocols based on electromyography (EMG) through a smart trainer system. In other words, it is possible to provide an optimal posture control exercise prescription protocol for strengthening weak muscles based on EMG by evaluating changes in muscle activity and cerebral blood flow according to pedaling posture.

In addition, according to the present invention, it is possible to provide a lower limb muscle strengthening exercise device with optimal posture control for selective muscle strengthening of defective muscles. In addition, it can provide a convenient and safe aerobic rehabilitation exercise device with 3D posture control and pain reduction structure for each body type. In addition, a smart monitoring system can be provided 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 controlling asymmetric load, 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 trainer device for hospitals as well as at-home trainers for people with walking disabilities. In addition, it is possible to provide a customized rehabilitation training trainer system that implements balancing technology for walking weak people and strength strengthening technology for defective muscles with one piece of equipment. In addition, as a safe exercise system that allows exercising in a comfortable reclining or lying position to relieve pain, it can provide a customized exercise guide and an exercise management system that feeds back the results.

Figure 1 is a schematic block diagram of the overall configuration of a smart trainer system according to an embodiment of the present invention.
Figure 2 is a block diagram of the platform control board of the smart trainer system of Figure 1.
FIG. 3 is a diagram illustrating a recumbent pedaling posture that can be adopted in the smart trainer system of FIG. 1.
FIG. 4 is a diagram for explaining variables related to pedaling force applied to the smart trainer system of FIG. 1.
FIG. 5 is a diagram illustrating a basic load control mechanism that can be employed in the smart trainer system of FIG. 1.
FIG. 6 is a diagram for explaining the main operations of the platform control board of the smart trainer system of FIG. 1.
Figures 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 Figure 1.
FIG. 9 is a diagram showing the flow between application configuration and activities that can be adopted on the platform control board of the smart trainer system of FIG. 1.
FIG. 10 is a diagram illustrating a user interface configuration that can be employed in smart devices 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 merely illustrative 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 are It may be implemented in various forms and is not limited to the embodiments described herein.

Since the embodiments according to the concept of the present invention can make various changes and have various forms, the embodiments will be illustrated in the drawings and described in detail in this specification. However, this is not intended to limit the embodiments according to the concept of the present invention to specific disclosed forms, and includes all changes, equivalents, or substitutes included in the spirit and technical scope of the present invention.

The terms used in this specification are merely used to describe specific embodiments and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly dictates otherwise. In this specification, terms such as “comprise” or “have” are intended to indicate the presence of features, numbers, steps, operations, components, parts, or combinations thereof described in this specification, but are not intended to indicate the presence of one or more other features. It should be understood that this does not exclude in advance the possibility of the existence or addition of elements, numbers, steps, operations, components, parts, or combinations thereof.

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

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

Referring to FIG. 1, the smart trainer system 100 according to this 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 a walking weak person using the pedal unit 20 on the platform control board 40 in order to improve the balance of the walking weak and strengthen deficient muscles, and is a seat unit capable of three-dimensional posture control. The position value is fed back from (30), information on the change in revolutions 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 exercise 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 for detecting the pedal angle, a second sensor for detecting the pedal load, and a magnetic brake 22 coupled to the pedal. do.

The seating unit 30 has one or more actuators for adjusting 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.

The platform control board 40 is equipped with a communication module and a control device, and the control device is connected to a plurality of detection modules and control modules, and has a correlation function equation or theorem that determines a specific exercise posture depending on the degree of load of the left and right pedaling unbalance load. Based on the data, the pedal unit 20 and the seat unit 30 are generated by generating a control signal that includes independent and dependent variable values related to the posture control and reflects the control error according to the independent variable and dependent variable values. You can control it.

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

The processor 41 executes a program stored in its own storage means or memory 42 to drive or control the components of the recumbent rehabilitation exercise equipment 10 of the smart trainer system, and transmits and receives signals and data with an external management device. control. The processor 41 may include a central processing unit (CPU) or a core.

The memory 42 is a first detection module that measures the left and right unbalanced power of the pedal unit 20, a first control module that adjusts the asymmetric exercise load of the pedal unit 20, and a seat unit 30 capable of three-dimensional posture control. A second detection module that receives position value feedback, a second control module that applies a signal for posture control to the actuator of the seat unit (30), and information on changes in revolutions per minute of the pedal unit (20) are transmitted and managed to an external management device. A communication module that receives control signals for asymmetric exercise load and posture control from the device, and a main control that controls the operations of the first detection module, first control module, second detection module, second control module, and communication module. Modules can be saved.

The sensing interface 43 is configured to receive detection signals from sensors (sensor A, sensor B, sensor C) attached to the pedal unit 20 and the seat unit 30 or to detect signals measured by the sensors. A 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, and 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, LED display unit 46, and power unit 47 are already well known, detailed description of these components will be omitted. However, the Bluetooth unit 45 is an example of a short-range wireless communication unit and can be replaced with another short-range wireless communication unit, and the LED display unit 46 is an optical unit for displaying the power status, operating status, 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, includes its own built-in battery, or includes an adapter or power conversion device connected to an external commercial power source or battery. can do.

Referring again to FIG. 1, the smart device 50 connected to the recumbent rehabilitation exercise equipment 10 receives information on the change in revolutions per minute of the pedal unit 20 from the platform control board 40, and the pedal unit 20 or changes in the seat unit 30 are input or transmitted to the server device 70. For this purpose, the smart device 50 is equipped with a hemiplegia exercise evaluation protocol and an asymmetric exercise prescription protocol, and can transmit signals and data as is or convert signals and data between the platform control board 40 and the server device 70. there is.

The smart device 50 may be provided in the form of a separate dedicated mobile device, but is not limited to this and may be provided in the form of an application mounted on the mobile terminal of the user, that is, a pedestrian or his/her guardian. The platform control board 40 and the smart device 50 can 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 guarantees the stability and usefulness of the recumbent rehabilitation exercise equipment 10 based on the conversion information. Outputs signals 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 connected to an exercise record database or may be a computing device equipped with an exercise record database and equipped with an active control algorithm.

Using the above-described recumbent rehabilitation exercise device 10, an optimized exercise posture can be maintained by adjusting the chair back angle, pedal distance, pedal height, etc. according to pre-stored patient information. Additionally, the user's biosignals such as heart rate, oxygen saturation, electrocardiogram, and blood pressure can be measured and stored during exercise. In addition, it is possible to evaluate the user's exercise function and prescribe a personalized rehabilitation exercise training protocol (adjust exercise load) according to exercise ability and biometric information. In addition, it is possible to display biometric information and exercise information such as the patient's heart rate, oxygen saturation, electrocardiogram, and blood pressure in real time during exercise 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, an intelligent trainer system can be provided for balancing and strengthening deficient muscles in people with walking disabilities.

FIG. 3 is a diagram illustrating a recumbent pedaling posture that can be adopted in the smart trainer system of FIG. 1. FIG. 4 is a diagram for explaining variables related to pedaling force applied to the smart trainer system of FIG. 1.

The smart trainer system of this embodiment allows people with walking disabilities to perform rehabilitation exercises in the optimal position according to the muscle activity pattern for each muscle in a lying position through a recumbent rehabilitation exercise device. To this end, the management device of the smart trainer system can be equipped with an exercise capacity evaluation of the defective muscle and a training prescription protocol for each exercise position.

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

As shown in Figure 3, the smart trainer system is a means for adjusting the backrest angle that reflects the hip angle and knee angle to adjust the optimal pedaling posture, or an actuator that reflects the pedal shaft spacing. A means or actuator for adjusting the saddle position, and a means or actuator for adjusting the height of the pedal shaft that reflects the knee angle and ankle angle may be provided.

According to the posture control configuration of the seat unit described above, variables related to the pedaling force of the left and right pedals of a walking weak person can be calculated. The variables are radial force, tangential force, resulting force, angle between radial force and tangential force, pedal angle, and crank torque ( crank torque), including crank length (see Figure 4).

The load control 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. FIG. 5 is a diagram illustrating a basic load control mechanism that can be employed in the smart trainer system of FIG. 1. FIG. 6 is a diagram for explaining the main operations of the platform control board of the smart trainer system of FIG. 1.

The smart trainer system of this embodiment senses the pedal angle according to one rotation of the pedal in a pedal unit used by a person with a walking disability and measures the pedal load for each sensed pedal angle. Then, as shown in FIG. 5, pedal unbalance load is added and posture control is performed for balancing and strengthening deficient muscles of walking weak people based on the measured crank angle and load curve of the pedal.

For this purpose, in this embodiment, a disc brake and an electromagnet for load adjustment installed in combination with the disc brake are installed on the pedal shaft poly, an origin sensing hole for the zero point angle of the pedal shaft, and a sensor and a hole for sensing the pedal shaft rotation angle are provided. Measure the pedal angle and adjust the unbalanced exercise load using an electromagnet according to the measured pedal angle.

In addition, as shown in FIG. 6, the smart trainer system of this embodiment adds an unbalanced load to the pedals so that the load on the left and right pedals in the pedal unit used by the walking impaired is equalized according to the disability of the left and right lower extremities of the walking impaired. That is, measure the left and right crank angles corresponding to the pedal angles of the right pedal and left pedal, 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 depending on the degree of disability to match or approach the preset standard.

Adjustment of 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 equal, so that pedaling of both feet can be performed comfortably with the same exercise load. It can be implemented so that

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

As such, in this embodiment, the pedal angle is sensed and the exercise load is adjusted according to the pedal angle. In other words, it is done to adjust the unbalanced exercise load for each pedal angle. For this effect, a magnetic brake is used in this embodiment, but it is not limited thereto.

Figures 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 Figure 1.

In the smart trainer system of this embodiment, as shown in FIG. 7, a position sensor or position displacement sensor coupled to a brake disk sends a signal to measure the position or rotation angle of the brake disk to a control board or a corresponding It is transmitted to the platform control board, and the control board transmits the control signal to the drive driver so that the drive driver increases or decreases the load on the brake disc by adjusting the electromagnet or load adjustment electromagnet coupled to the drive driver. You can.

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

Muscle activity or muscle activity is measured with an electromyography (EMG) sensor attached to the patient. This muscle activity may show different values depending on the degree of muscle use according to the recumbent posture. In particular, in the recumbent posture, the muscles used vary depending on the sitting posture or pedaling angle depending on the type of posture, so the degree of muscle use can be subdivided and distinguished through muscle activity.

In this way, in this embodiment, the patient's muscle activity can be measured and compared with the muscle activity of a normal person corresponding to the patient, so that muscles with relatively low muscle activity can be exercised more intensively.

FIG. 9 is a diagram showing the flow between application configuration and activities that can be adopted on the platform control board or smart device of the smart trainer system of FIG. 1. FIG. 10 is a diagram illustrating the 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 this embodiment can control or manage training for balancing and strengthening deficient muscles of walking weak people through a series of processes.

That is, as shown in FIG. 9, the platform control board manages user information according to user settings (S91), and performs platform posture adjustment and other control management according to platform settings. (S92). In addition, the platform control board performs inspection to evaluate exercise function according to the settings or user input in the exercise evaluation and rehabilitation exercise main menu (S93) displayed as training main, and muscle exercise (such as asymmetric strength exercise). You can perform complex training such as muscle training, aerobic training such as asymmetric aerobic exercise, and asymmetric complex exercise, and you can also manage your training history (S94).

The aforementioned platform control board can be linked with smart devices. These smart devices can display the status of the recumbent rehabilitation exercise device and the user's status in conjunction with the platform control board and provide a user input window or user interface to generate related control signals. In addition, smart devices can, for example, apply Android-based Bluetooth (bluetooth 4.0) and relay or support efficient communication configuration of central devices or peripheral devices. Using these smart devices, you can achieve visual effects and excellent user convenience by displaying the status of the recumbent rehabilitation exercise device and the status of asymmetric left and right exercise abilities on the screen.

To be more specific, the smart device may be implemented to divide the left and right areas of the screen as shown in FIG. 10 to display a comparison (e.g., 75 left: 15 right) and a diagram of the left and right pedaling states. For example, values measured by the left ergometer installed on the left side of the recumbent rehabilitation exercise device according to the inclination of the pedal or chair (abbreviated as 'recumbent inclination'), such as exercise function evaluation (power display), required RPM, current RPM , the current power, pedal angular velocity, required power, etc. are displayed in the left region of the screen, and the values measured by the right ergometer installed on the right side of the device are displayed in the right region of the screen. You can.

In addition, the smart device receives a first signal corresponding to the left and right unbalanced 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 three-dimensional posture control. It may be implemented to receive a third signal corresponding to the feedback position value.

In addition, the smart device records the exercise information of the user using the smart trainer system and sends a first signal, second signal, third signal 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 peripheral device, and generates an asymmetric exercise load of the pedal unit based on the active control signal through a preset asymmetric exercise prescription protocol. It may be implemented to generate one or more control signals for adjustment or one or more control signals for three-dimensional 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, muscle activity and cerebral blood flow can be measured for each user's posture. For example, muscle activity and cerebral blood flow rate according to the recumbent slope during exercise can be investigated. The recumbent tilt can be set to upright, 65°, 47°, 30° and 15°. The exercise intensity can be started with a protocol of 50W and increased by 25W every 2 minutes up to 150W. The user's biosignals can be measured using wireless surface electromyography, cerebral blood flow velocity meter, etc.

In addition, using the smart trainer system according to the above-described embodiment, exercise prescriptions can be performed based on ENG, and objective muscle-physiological standards can be measured and evaluated using EMG. In that case, intelligent rehabilitation exercise for those with walking disabilities becomes possible through an efficient exercise protocol based on muscle physiological criteria rather than the individual's subjective strength. In addition, combining EMG standards and recumbent cycling exercise can contribute to effectively investigating variables such as satisfaction, symptoms, pain, and quality of life.

The SF-36 questionnaire can be used as a measurement tool for symptoms, pain, and quality of life. Physiological measurement variables include muscle activity and middle cerebral artery blood flow rate indicated by EMG, and statistical processing is performed using two-way ANOVA. You can.

In addition, according to the present invention, asymmetric exercise ability can be evaluated, so it is possible to conduct a preliminary evaluation to set exercise prescription conditions for the healthy side and paralyzed side, and objective bilateral functional deviations such as power (watt) and maximum RPM for each of the left and right lower extremities. You can check and apply it to the smart trainer instructions. In other words, when applying an exercise prescription, the appropriate angle, evaluation mode, and appropriate exercise load for each exercise goal can be determined or presented.

In addition, the smart trainer system for balancing and strengthening defective muscles in the walking weak person of this embodiment objectively evaluates the asymmetrical exercise ability of the walking weak walker, confirms the objective deviation of the function on both sides according to the degree of defect, and sets this to a target value according to the exercise mode. Based on the setting, recumbent angle according to the degree of muscle strength deficit, deviation in rotation ability, correlation with exercise load and maintenance speed, etc., it is used to strengthen balance for recovery of walking weak and to strengthen defective muscles to recover asymmetrical exercise ability. It can be applied effectively.

Additionally, according to the present invention, the exercise intensity of an asymmetric exercise program can be quantified using heart rate, which is an objective indicator of exercise load. For example, based on maximum heart rate (HRmax) and resting heart rate (HRrest), the target heart rate (Borg's rating of perceived exertion, RPE) is 12 to 14 using Karvonen's heart rate reserve formula. 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 using maximum oxygen consumption and heart rate, which are indicators for setting the prescribed intensity of exercise, and the exercise intensity can be gradually increased for patients and applied by patients. A training protocol can be implemented so that

The asymmetric exercise program protocol can be based on registering the patient's hemiplegic side, type of stroke, height, weight, onset date, etc., and then checking the patient's basic obesity level, muscle mass, fat mass, etc. Additionally, the asymmetric exercise program protocol can be implemented to prevent damage to the patient's musculoskeletal system and to prevent stiffness and muscle fatigue caused by stroke, with stretching and low-intensity cycling exercise, ending with a warm-up and cool-down exercise.

In addition, in this embodiment, various control modes, target force, exercise time, and exercise speed protocols are determined using an unbalanced recumbent cycle, and thereby, in the case of elderly people with sarcopenia and osteoporosis and stroke patients, muscle mass and strength can be improved through sedentary cycle exercise. It can contribute to preventing the decline and improving daily living skills.

In addition, according to this embodiment, by applying the exercise program set through the exercise evaluation protocol, there is an improvement in functions such as walking speed, walking distance, and balance, and sarcopenia indicators such as muscle mass or strength, cardiopulmonary function, muscle activity, and arteriosclerosis. It can contribute to monitoring improvement. In that case, in addition to aging, it will provide an effective method for balancing and strengthening defective muscles for various target groups, such as patients with unilateral leg weakness due to fractures in elderly patients, knee joint replacement surgery, hip joint replacement surgery, etc., and patients with chronic diseases. You can.

Current rehabilitation treatment for stroke patients consists of aerobic exercise using expensive special equipment such as walking robots, underwater treadmills, and zero gravity treadmills that reduce the patient's exercise load, and strength training using pneumatic and eccentric equipment. According to this embodiment, it has the advantage of being able to safely perform aerobic exercise and strength exercise simultaneously at a low cost through recumbent cycle equipment, and has the advantage of being able to provide customized exercise prescriptions by changing the exercise load according to the recovery of the patient's exercise function. .

According to this embodiment, a smart trainer system can be provided for comprehensive functions such as strengthening the muscles of the hemiplegic (affected side) lower limb, strengthening the muscles of the sound side, slope exercise, stair climbing effect, and body posture control.

In addition, according to this embodiment, comprehensive rehabilitation exercises can be easily installed in nursing hospitals, dementia centers, etc., where it is difficult to provide various rehabilitation facilities like large hospitals. Stroke patients with limited mobility can perform comprehensive rehabilitation exercises at home after being discharged from the hospital, which has the effect of helping the quality of life of patients and their families.

In addition, for stroke patients who have difficulty walking, a recumbent cycle (equipped with an ergometer) is a safe and efficient aerobic exercise device, but when using a regular cycle, it is difficult to perform exercise of appropriate intensity due to decreased leg strength due to hemiplegia, so it is used to support the muscles on the paralyzed side. Aerobic exercise capacity must be exercised. In the case of the prior art, functional electrical stimulation only allows exercise up to a maximum of 30 rpm, making customized exercise prescription impossible and difficult to apply to various stroke patients. However, in the case of this embodiment, it is possible to provide a system that can efficiently train balancing and strengthening defective muscles to improve motor recovery and brain plasticity in patients with hemiplegia.

According to the above-described embodiment, it is possible to provide a mechanism for precisely adjusting unbalanced exercise load to strengthen the balance of walking weak people. In addition, it is possible to provide an exercise posture positioning algorithm and control circuit for strengthening the deficient muscles of people with walking disabilities. In addition, it is possible to provide a smart training method for smart devices to evaluate the exercise ability of people with walking disabilities and implement training prescription protocols.

Additionally, according to this embodiment, the results of measuring muscle activity and cerebral blood flow of muscles used for each pedaling angle can be accumulated, systematized, and provided. In addition, it is possible to provide an EMG (electromyography)-based exercise prescription method for walking weak and hemiplegic patients. Additionally, it can provide medical evaluation results of the lower extremity ergometer exercise protocol according to the degree of hemiplegia. In addition, field application effectiveness evaluation of exercise prescription and results of small-scale researcher clinical trials can be provided.

Although the present invention has been described with reference to the drawings, it is merely illustrative, and it is obvious to those skilled in the art that various modifications and other equivalent embodiments can be made therefrom. Therefore, the true technical protection scope of the present invention should be determined by the technical spirit of the attached claims.

Claims (6)

A smart trainer system including a platform control board,
The platform control board is,
A first detection module that measures left and right unbalanced power of the pedal unit;
A first control module that adjusts an asymmetric exercise load of the pedal unit;
a second detection module that receives position value feedback 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 information on changes in revolutions per minute of the pedal unit to an external management device and receives signals for the asymmetric exercise load and posture control from the management device; and
It includes a main control module that controls the operation of the first detection module, the first control module, the second detection module, the second control module, and the communication module,
It further includes the pedal unit, wherein the pedal unit includes:
A first sensor that detects the pedal angle;
a second sensor that detects pedal load; and
Equipped with a magnetic brake coupled to the pedal,
The operation of the magnetic brake is controlled by a control signal from the platform control board,
further comprising the seat unit, the seat unit having one or more actuators for adjusting 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,
The signal for the posture control is,
It is calculated based on variables related to the pedaling force of the pedals on the left and right, and is used to lower the high load according to the difference in the left and right pedaling unbalance load to match the low load so that pedaling of both feet is performed at the same load,
The variables include the radial force of the pedal, the tangential force of the pedal, the angle between the radial force and the tangential force, and the pedal angle. , smart trainer system including crank torque and crank length. delete delete delete In claim 1,
The signal for posture control controls the posture of the recumbent rehabilitation exercise equipment and the load of pedaling so that muscles with relatively low muscle activity are exercised according to the comparison result between the muscle activity measured based on the EMG sensor and the preset normal or reference muscle activity. A smart trainer system used to In claim 1,
The management device includes a smart device and a server device connected to each other through a network, and the smart device,
A first signal corresponding to the left and right unbalanced 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 feedback position value of the seat unit capable of 3D posture control. Receiving a third signal,
The first signal, the second signal, the third signal, or Send their change information,
One or more control signals for receiving an active control signal of the smart trainer system for the user from the server device and adjusting an asymmetric exercise load of the pedal unit based on the active control signal through a preset asymmetric exercise prescription protocol, or A smart trainer system that generates one or more control signals for three-dimensional posture control of the seat unit and transmits them to the platform control board.