This application claims priority to Taiwan Application No. 107126172, filed on Jul. 27, 2018, the entire content of which is hereby incorporated by reference herein in its entirety.
The present invention relates to a gait activity learning assistance system and the application method thereof, in particular, relates to a gait activity learning assistance system for guiding users to learn the gait activity spontaneously to induce a Neuro Developmental Treatment for recovering user's gait ability, and the application method thereof.
Physical medicine and rehabilitation is a branch of clinical medicine, which refers to the ability to help patients recover from injury through physical therapy behavior or functional treatment behavior to improve the patient's life. Said injury may include a joint movement disorder or losing control of the movement of patients caused by cerebrovascular disease, central nervous system injury, diabetes, occupational injury or orthopedic surgery.
Among them, the cerebrovascular diseases affect the patient's body self-control ability severely. Taking the stroke as an example, according to the statistics number of the early years in the United States, there are about 300 cases of stroke per 100,000 people, also, the published report of American Heart Association in 2005, also shows that there are about 700,000 strokes in the United States each year, of which about 500,000 are new cases, and the rest are patients with recurrence of stroke. In a comprehensive researching report, it also shows that the incidence of stroke for people over 55 years old is about 4 to 6%. Plus, the aging population is a potential risk, so that the number of people with high risk of stroke is increasing. Thus, all the information points out that the need of rehabilitation all around the world is increasing but the manpower of rehabilitation is limited. Taking Taiwan as an example, the statistics shows that there are more than 100,000 people with rehabilitation needs, and each physical therapist needs to assist 20 patients to rehabilitate per day averagely.
At present, there are several effective methods of rehabilitation have been established for stroke patients. Among them, there is a Neuro Developmental Treatment (NDT) which focuses on neuroplasticity and drives the brain reconstructs the body self-control ability during a physical practice or experience through a re-education of neuromuscular function; therefore, NDT is clinically considered to improve the patient's mobility disorder more fundamentally. Said NDT integrates various rehabilitation techniques, including support, induction, guidance and inhibition, etc. Under current NDT rehabilitation conditions, the physical therapist personally assists the patient by hand to give an appropriate auxiliary force of thrust, tension, resistance or support force which evaluated in the rehabilitation process immediately. Said auxiliary force supports the patient's affected limb in need to make the patient complete the stride action successfully, and is continuously given by the physical therapist during the rehabilitation process. However, the rehabilitation method implemented by manpower will inevitably cause the physical burden of the physical therapist, and will further cause a decreasing number of patients which the physical therapist is affordable to treat on a daily.
Based on the considerations of the lack of rehabilitation manpower, semi-automatic or automatic rehabilitation aids are produced, for example, a mechanical exoskeleton is a common auxiliary device for rehabilitation. However, said mechanical exoskeleton still exists many shortcomings such as: (1) the mechanical exoskeleton mainly provides supporting force for the thigh, calf and sole of the patient. When the patient uses the mechanical exoskeleton, it can only be passively controlled but produce the effect of independent learning; (2) because of the setting position where the mechanical exoskeleton is applying the force to the patient, the patient can only perform motion imitation but achieve the purpose of guiding; (3) the force points where the mechanical exoskeleton applying provide no correct sensory input to the patient, so that it is impossible to simulate the training method of physical therapists in performing NDT; (4) the mechanical exoskeleton cannot immediately detect and analyze the gait and movement of the patient, so the auxiliary parameters for the patient cannot be adjusted in time according to the patient's movement.
To summary the content above, the conventional technology is unable to achieve the goal which is inducing and guiding the patient to learn gait activity because of the limitation of device design, operation method and implementation method. Also, the conventional technology is unable to assist or replace physical therapists in performing NDT; therefore, it is still necessary to develop a novel device or a novel system to solve the problem in the clinic.
A primary object of the present application is to provide a gait activity learning assistance system, by the design of the apparatus, said gait activity learning assistance system comprising at least one interlocking unit which is disposed on at least one limb position which is able to make a user's limb swing or rotate, drive the at least one limb position of user which needs to be driven, and guide user to process a correct gait reaction.
Another object of the present application is to provide a gait activity learning assistance system, by the design of the apparatus, said gait activity learning assistance system comprising at least one movement detecting module to measuring a dynamic change of the at least one interlocking unit by at least one dynamic measurement module while user receiving the gait assistance to obtain and record at least one dynamic characteristic data for processing a motor algorithm; therefore, said gait activity learning assistance system is able to regulate the strength of the force, the duration of the force or the disposing position of at least one interlocking unit by user's gait activity result.
To achieving aforesaid objects, the present application discloses a gait activity learning assistance system, comprising: a main body, which is set up in any position in the system; at least one movement detecting module, which is set up in any position in the system for detecting and recording the change in movement of user's limb to obtain at least one movement characteristic data; a control module, which is disposed on the main body and connected to the at least one movement detecting module through communication, receives the at least one movement characteristic data and generates a control signal by calculating; at least one driving module, which is disposed on the main body and electrically connected to the control module, wherein the at least one driving module comprises: a motor driver, electrically connected to the control module, receives the control signal to generate a motor driving signal; a motor, electrically connected to the motor driver, receives the motor driving signal to generate a driving force correspondingly; and at least one interlocking unit, connected to the motor and disposed on at least one limb position which is able to make user's limb swing or rotate, receives the driving force from the motor and drives the at least one limb position of user to process a gait reaction; at least one dynamic measurement module, connected to the at least one interlocking unit and connected to the control module through communication, measures a dynamic change in the at least one interlocking unit to obtain at least one dynamic characteristic data which is sent back to the control module immediately; and a moving assistant assembly, which is set up on any position in said system and has a corresponding activities with the user's gait activity; wherein the control module processes the at least one dynamic characteristic data into a second control signal synchronously by using a motor algorithm and outputs the second control signal to the motor driver to drive the motor for generating a second driving force, the second driving force is received by the at least one interlocking unit to drive the at least one limb position of user which needs to be drove and guide user to process a correct gait reaction; wherein the second control signal is comprising a driving force execution timing signal of the motor, a force strength signal, a forcing duration information, a displacement information of the at least one limb position or any combinations thereof.
In an embodiment of the present application, this gait activity learning assistance system further comprises a wearing unit which is set up in any position in the system to keep user in a state of standing posture.
In an embodiment of the present application, this gait activity learning assistance system further comprises a supporting unit to generate a supporting force for at least one lower limb of user.
In an embodiment of the present application, it discloses that the at least one interlocking unit is an elastic belt.
In an embodiment of the present application, it discloses that the at least one movement detecting module comprising an image capturing unit, a body motion tracking unit, a distance measurement unit, a distance scanning unit, an inertial measurement unit or a combination thereof.
In an embodiment of the present application, it discloses that the at least one movement characteristic data comprises stance phase duration, swing phase duration, double-limb support phase duration, the time of heel strike, the time of foot flat, the time of heel off, the time of toe off, foot strikes, hip angle, knee joint angle, hip joint position, ankle angle, number of steps per unit time, walking distance per unit time, step length of the healthy side, step length of the affected side, stride length, step width, foot angle, gait symmetry, change in balance, body alignment, base of support, ratio of the stance phase to the swing phase on the same side, ratio of the stance phase to the swing phase on the different sides, percentage of the time of each stage in stance phase, or any combinations thereof.
In an embodiment of the present application, it discloses that the at least one dynamic measurement module comprises a force measurement unit, a distance measurement unit, a distance scanning unit, an angle measurement unit, a pressure sensing unit, or any combinations thereof.
In an embodiment of the present application, it discloses that the at least one dynamic characteristic data comprises a forcing strength, a forcing duration, a forcing direction or any combinations thereof.
In an embodiment of the present application, it discloses that the control module comprises a receiving unit, a processing unit and a transmitting unit.
In an embodiment of the present application, it discloses that the receiving unit is set up for receiving the at least one movement characteristic data or the dynamic characteristic data, wherein the processing unit is set up for turning the at least one movement characteristic data or the dynamic characteristic data into the control signal or the second control signal by calculating, and wherein the transmitting unit is set for sending the control signal or the second control signal to the motor driver.
In an embodiment of the present application, it discloses that the processing unit operates a motor algorithm, the step comprises: setting up a default to the motor, wherein the default is an initial action force; verifying if a heel is on the ground; verifying if the location of the heel is in front of the other heel; verifying if the heel is on the ground again; and generating a second control signal by forgoing result.
In an embodiment of the present application, it discloses that the motor driving signal is a voltage signal, a current signal, a frequency signal, a pulse width signal, or any combinations thereof.
In an embodiment of the present application, it discloses that the at least one limb position is a pelvic region, a posterior sacral region, a distal segment of the limb, an abdomen, and any combinations thereof.
In additional, to achieve aforesaid objects, the present application discloses an applicable method of the gait activity learning assistance system for guiding user to process a correct gait reaction and learn gait activity, including the following steps: at least one interlocking unit is disposed on at least one limb position; at least one movement detecting module detects the change in user's limb and then generates at least one movement characteristic data while user starts to stride; a control module receives the at least one movement characteristic data to generate a control signal which is sent to a motor driver of at least one driving module; the motor driver receives the control signal and turns it into a motor driving signal, sent to a motor to generate a driving force; the driving force generated by the motor drives at least one interlocking unit, and the interlocking unit moves user to at least one limb position to make user swing or rotate, so that user can be guided to operate stride action; at least one key point measurement module measures a dynamic change in at least one interlocking while user operates stride action, and then generates at least one dynamic characteristic data which is sent back to the control module immediately for processing motor algorithm to generate a second control signal which includes a driving force execution timing signal of the motor, a forcing strength signal, a forcing duration information, a displacement information of the at least one limb position or any combinations thereof; and the motor driver and the motor generate the forcing action to drive the at least one interlocking unit according to the second control signal, and the at least one interlocking unit can take user to the at least one limb position before user operates stride action, so that the user can swing or rotate; therefore, user receives guide to operate the right stride action in time.
In an embodiment of the present application, the control module operates a motor algorithm, the step comprises: setting up a default for the motor, wherein the default is an initial action force; verifying if a heel is on the ground; verifying if the location of the heel is in front of the other heel; verifying if the heel is on the ground again; and generating a second control signal by forgoing result.
In additional, to achieve aforesaid objects, the present application discloses an application method of a system using the gait activity learning assistance system for simulating the rehabilitation of physical therapists and records it in said system for repeating the same treatment to be a personal pad assisting mode of the gait activity learning assistance, including steps of: at least one interlocking unit is disposed on at least one limb position; user starts to stride and receives a force on at least one limb position from the gait activity learning assistance system at the same time; a displacement of user's limb is detected by at least one movement detecting module while user receives the gait assistance to generate and record at least one movement characteristic data, and a dynamic change of the at least one interlocking unit is measured by at least one dynamic measurement module while user receiving the gait assistance to obtain and record at least one dynamic characteristic data; and repeating the second and third steps for at least two cycles to obtain the force information of gait assistance including the at least one movement characteristic data and the at least one dynamic characteristic data, saved in the system to establish a gait activity learning instruction.
In an embodiment of the present application, this discloses that the gait assistance is a manual rehabilitation which a physical therapist applies on the user.
In an embodiment of the present application, this discloses that the manual rehabilitation is a thrust force, a tension force, a resistance force, a support force, a slap force or a touch force.
In an embodiment of the present application, this discloses that the manual rehabilitation is applied on a pelvic region, a posterior sacral region, a distal segment of the limb, an abdomen, and any combinations thereof.
For helping the Examiner further realize and recognize the present application, some detailed descriptions and preferred embodiments are described as follows:
Given that the conventional gait activity assistance system has many insufficiencies and limitations, like the conventional gait activity assistance system cannot induce user to have the effect of self-learning, or user can only rely on the operation of the device to imitate the motion. Besides, the force points of the conventional gait activity assistance system provide user with no correct sensory input, so that it is impossible to simulate the training method of physical therapists in performing NDT and adjust the auxiliary parameters for user in time according to user's movement. On these grounds, the present invention provides a gait activity learning assistance system and the application method thereof, it can (1) drive user's limb to swing or rotate by a interlocking unit to achieve the purpose of inducing or guiding user to learn gait activity autonomously; (2) detect the change in user's limb movement and record the process of physical therapist performing NDT by a movement detecting module; (3) measure dynamic change in the interlocking unit by a dynamic measurement module while user strides and send the change back to a control module immediately to process motor algorithm simultaneously, so the driving force execution timing signal of a motor, the forcing strength signal, the forcing duration information, the displacement information can be adjusted by user's need. Therefore, the present invention can mimic the rehabilitation strategy of physical therapist and provide a substitute way to replace the human resource of physical therapist in physical medicine and rehabilitation.
Therefore, the present invention provides a gait activity learning assistance system, including at least one movement detecting module which detects the change in movement of user's limb and obtains at least one movement characteristic data as a basis for said system to evaluate the state of user's gait; at least one control module that receives, analyzes and calculates at least one movement characteristic data to give a command for a driving module to drive the limb of user to swing or rotate to at least one site, so that user can be induced or guided to learn the gait activity spontaneously; and at least one dynamic measurement module, which is connected to at least one interlocking module, measures a dynamic change in the interlocking unit while user strides and obtains at least one dynamic characteristic data which is sent back to the control module for processing motor algorithm, so that the control module can adjust the timing, forcing strength, forcing duration or driving site immediately to allow user to retrain the brain through somatic perception instead of simply mimicking the movement of standard process.
According to above reasons, the following descriptions demonstrate the present invention comprising elements, features, and their combinations or communications.
First of all, refer to the
As mentioned above, the movement detecting module detects the change in user's limb and then analyzes the change to define to generate a movement characteristic data. The movement detecting module is an optical sensing unit, an inertial sensing unit or a combination thereof. Therefore, the movement detecting module comprising an image capturing unit, a body motion tracking unit, a distance measurement unit, a distance scanning unit, an inertial measurement unit or a combination thereof, and the number of the movement detecting module in said system is in demand to be one or multiple. After the movement detecting module analyzes the change in the limb of user, the movement characteristic data, including stance phase duration, swing phase duration, double-limb support phase duration, the time of heel strike, the time of foot flat, the time of heel off, the time of toe off, foot strikes, hip angle, knee joint angle, hip joint position, ankle angle, number of steps per unit time, walking distance per unit time, step length of the healthy side, step length of the affected side, stride length, step width, foot angle, gait symmetry, change in balance, body alignment, base of support, ratio of the stance phase to the swing phase on the same side, ratio of the stance phase to the swing phase on the different sides, percent of the time of each stage in stance phase, or any combinations thereof, is obtained. Thus, the movement detecting module is capable of analyzing any change in limb, and recording the change in said system as the movement characteristic data to establish a personal database of gait activity learning process. And furthermore, the movement characteristic data is sent back to the control module to provide the driving module with suggestion of force timing and force strength.
Refer to the
Back to the
Besides, the interlocking unit is disposed on at least one limb position where is able to make user's limb swing or rotate, so that the interlocking unit has to possess enough structural strength and elasticity to support user and provide a buffer to ease the uncomfortableness, and to be able to swing or rotate with user while the motor drives. According to above reasons, the interlocking unit can be an elastic belt, but it's alternative.
In one embodiment of the present invention, the number of the interlocking unit depends on how many limb positions are considerate to allow user's limb swing or rotate. The limb position comprises a pelvic region, a posterior sacral region, a distal segment of the limb, muscles of the abdomen and any combinations thereof. The interlocking unit provides pelvic region or posterior sacral region with a forward force on the tangent direction of the pelvic region to drive the pelvic region or posterior sacral region to move forward or rotate. In addition, if the interlocking unit forces on the distal segment of the limb, the upper limb or the lower limb of user is guided to swing autonomously because the distal segment of the limb has a longer arm of force from joint. Furthermore, if the interlocking unit forces on muscles of the abdomen, the muscles of user are stimulated to contract. Hence, when user rotates limb, swings limb, contracts muscle or any combinations thereof, user is motivated or induced to control the lower limb autonomously to correspond with said system to give a response through perception. By the interlocking unit of said system to guide the user continuously, the purpose of relearning to control muscle and limb is achieved to help elevate the therapeutic effect of neurodevelopment.
Also, refer to the
The dynamic change in the interlocking unit, comprising the forcing strength, the position, the duration while the interlocking unit drives user, is sent back to the control module immediately for analysis to obtain the dynamic characteristic data. Based on the dynamic characteristic data, the motor algorithm is processed to generate the second control signal. In one embodiment of the present invention, a process diagram of motor algorithm, as shown in
Step S10: setting up a default to a motor;
Step S12: verifying if a heel is on the ground;
Step S14: verifying if the location of the heel is in front of the other heel;
Step S16: verifying if the heel is on the ground again;
Step S18: generate a second control signal.
In the step S10 of the above process, the default is an initial action force that does not move the at least one interlocking unit. In one preferred embodiment of the present invention, the default is 0.5 to 1.5 lb. In the step S12, the processing unit verifies if the heel is on the ground. If the heel is off the ground, the motor will stay to provide the default only. On the contrary, if the heel is on the ground, another verification, the step S14, will be processed to verify whether the location of the heel is in front of the other heel or not. Likewise, if the location of the heel is behind the other heel, the motor will stay to provide the default. In contrast, if the location of the heel is in front of the other heel, the other verification, the step S16, will be processed to verify whether the heel is on the ground again or not. If the heel is off the ground, the motor will go back to provide the default to avoid over exerting on user. If the heel is on the ground, a second control signal will be generated, as the step S18 indicates, to the motor driver of the driving module for driving the motor continuously.
The second control signal comprises a driving force execution timing signal of the motor, a forcing strength signal, a forcing duration information, a displacement information of the at least one limb position or any combinations thereof. In one preferred embodiment of the present invention, the trajectory value range of the driving force from the motor is between 0.5 to 6 lb to drive the interlocking unit, so that the pelvic region, the posterior sacral region, the distal segment of the limb, the muscles of the abdomen or any combinations thereof of user is moved along with the interlocking unit. Therefore, through detecting the dynamic change in the interlocking unit by the dynamic measurement module, the timing, the force strength and the duration of the interlocking unit while drives user are adjusted accurately. Also, the displacement of the limb position can be adjusted to increase or decrease, so that it can be decided to drive which body parts. By reproducing the rehabilitation assistance from physical therapist by said system, user can be guided to perform the gait activity accurately at the right timing and avoid to be over exerted. And said system provides user with more accurate sensory input to elevate the effect of learning the gait activity autonomously and to achieve the purpose of therapeutic effect in neurodevelopment.
In
Aforesaid gait activity learning assistance system is personalized by the following applications to attain the therapeutic effect in neurodevelopment:
Refer to the
Step S20: disposing at least one interlocking unit on at least one limb position;
Step S21: detecting a displacement of user's limb to generate at least one movement characteristic data by at least one movement detecting module while user walking;
Step S22: forming a control signal calculated by a control module which receiving the at least one movement characteristic data, and transmitting the control signal to a motor driver of at least one driving module;
Step S23: turning the control signal to a motor driving signal by the motor driver of the at least one driving module, and transmitting the motor driving signal to a motor to generate a driving force correspondingly;
Step S24: driving at least one limb position of user by the driving force of the motor to make the user's limb swing or rotate and guide user to process a gait reaction;
Step S25: measuring a dynamic change of at least one the interlocking unit by at least one dynamic measurement module to obtain at least one dynamic characteristic data which is sent back to the control module immediately to process a motor algorithm for obtaining a second control signal, wherein the second control signal is comprising a driving force execution timing signal of the motor, a forcing strength signal, a forcing duration information, a displacement information of the at least one limb position or any combinations thereof;
Step S26: driving the at least one interlocking unit to drive the at least one limb position of user to make the user's limb swing or rotate before the user process a gait reaction by the motor driver and motor which is driven by the second control signal to guide user process a correct gait reaction.
In this embodiment of the present invention, as the step S20, user can put the interlocking unit on the key point body part, like the pelvic region, the posterior sacral region, the distal segment of the limb, the abdomen and any combinations thereof, to provide a right action force that allows limb to swing or rotate. The interlocking unit is an elastic belt, and it provides pelvic region or posterior sacral region with a forward force on the tangent direction of the pelvis to drive the pelvic region or the posterior sacral region to move forward or rotate. In addition, if the interlocking unit forces on the distal segment of the limb, the upper limb or the lower limb of user is guided to swing autonomously because the distal segment of the limb has a longer arm of force from joint. Furthermore, if the interlocking unit forces on the abdomen, the muscles of user are stimulated to contract.
Next, as the step S21, the movement detecting module, an optical sensing unit or an inertial sensing unit, detects the change in user's limb while user operates stride action, and then analyzes the change to define and generate a movement characteristic data. Therefore, the movement detecting module comprising an image capturing unit, a body motion tracking unit, a distance measurement unit, a distance scanning unit, an inertial measurement unit or a combination thereof in demand. After the movement detecting module analyzes the change in the limb of user, the movement characteristic data including stance phase duration, swing phase duration, double-limb support phase duration, the time of heel strike, the time of foot flat, the time of heel off, the time of toe off, foot strikes, hip angle, knee joint angle, hip joint position, ankle angle, number of steps per unit time, walking distance per unit time, step length of the healthy side, step length of the affected side, stride length, step width, foot angle, gait symmetry, change in balance, body alignment, base of support, ratio of the stance phase to the swing phase on the same side, ratio of the stance phase to the swing phase on the different sides, percentage of the time of each stage in stance phase, or any combinations thereof is obtained.
And as step S22 to S24 indicating, the control module receives and analyzes at least one movement characteristic data to generate the control signal which is sent to the motor driver of the driving module. The motor driver receives the control signal and turns it into the motor driving signal, sent to a motor to generate the driving force to drive the interlocking unit, and the interlocking unit moves user at least one limb position to make user swing, rotate, or construct, so that user can be induced to operate stride action.
As step S25, while user operates stride action, the at least one dynamic measurement module measures the dynamic change in the at least one interlocking unit immediately and then generates at least one dynamic characteristic data which is sent back to the control module for processing motor algorithm, so that the force condition of the interlocking unit, like execution time, force strength, force duration, can be adjusted according to the condition of the user's gait activity. In this way, user is protected from being over exerted by the interlocking unit and induced to control limb for corresponding action autonomously by perception and cognition. Briefly, said system provides user the sensory input and a cycling rehabilitation to meet the need, and induces user to relearn the control of limb and muscle.
Additionally, said system simulates the rehabilitation of physical therapists and records it in said system for repeating the same treatment to be a personal pad assisting mode of gait activity learning assistance. Refer to the
Step S30: disposing at least one interlocking unit on at least one limb position;
Step S31: providing a gait assistance which applied on the at least one limb position of user while user walking;
Step S32: detecting a displacement of user's limb by at least one movement detecting module while user receiving the gait assistance to generate and to record at least one movement characteristic data, and measuring a dynamic change of the at least one interlocking unit by at least one dynamic measurement module while user receiving the gait assistance to obtain and record at least one dynamic characteristic data;
Step S33: repeating providing a gait assistance step and detecting step at least two cycles to obtain the force information of gait assistance including the at least one movement characteristic data and the at least one dynamic characteristic data, saving them in the system to establish a gait activity learning instruction.
In the step S30 and S31 of this embodiment, the gait activity assistance is for giving a right sensory stimulation on key point of limb at the right timing while user walks. To achieve the therapeutic effect in neurodevelopment, the gait activity assistance guides user to induce a movement or construct muscles for making a right gait activity. To be more precise, the gait activity assistance is the manual rehabilitation performed by physical therapists, comprising a thrust force, a tension force, a resistance force, a support force, a slap force or a touch force. And the manual rehabilitation is applied on the pelvic region, the posterior sacral region, the distal segment of the limb, the muscles of the abdomen and any combinations thereof. A dynamic change, which is strength, time or position, in the interlocking unit is measured accurately by at least one dynamic measurement module because the interlocking unit is connected to at least one dynamic measurement module and disposed on at least one limb position. In this way, the gait activity assistance detects and analyzes the change in limb and the interlocking unit by the at least one movement detecting module and at least one dynamic measurement module respectively to define at least one movement characteristic data and dynamic characteristic data for developing a gait activity learning instructor. And the gait activity learning instructor is saved in said system to be processed in demand of user for re-performing the manual rehabilitation of the physical therapists, so that it is a substitute or an assistant strategy for rehabilitation.
The present invention is further illustrated by the following examples, which are provided for the purpose of demonstration rather than limitation.
The other characteristics and advantages of the present invention will be further illustrated and described in the following examples. The examples described herein are using for illustrations, not for limitations of the invention.
In one embodiment of the present invention, a movement detecting module is an image sensing device based on the principles of optics. The image sensing device is an active capturing system to paste the active photosphere on key points of user's limb, which includes four sides of lumbar joint, left or right thigh, left or right calf, left or right ankle, left or right mid foot, or left or right heel. A movement detector (like VZ4000) detects any movements of user's limb immediately, so that the movement detecting module is allowed to analyze these movements and define them as a movement characteristic data for saving as a record or sending back to the control module to operate gait activity learning.
As shown in the
In this embodiment of the present invention, the gait activity learning assistance system 20 further comprises the moving assistant assembly 250 to reduce the resistance of stride for user and the wearing unit 260 to provide a suspended supporting force as a protection from falling while user is receiving the assistance of said system. Therefore, said assistance system is applicable for all different levels of impairment.
In this embodiment of the present invention, as shown in
In this embodiment of the present invention, as shown is
In summary of above examples, the present invention is a gait activity learning assistance system to simulate the rehabilitation of physical therapists and re-perform it as an assistance or replacement of manual rehabilitation to reduce the loading of therapists by the at least one movement detecting module and the at least one interlocking unit, which co-works with the dynamic measurement module and is deposed on the pelvic region, the posterior sacral region, the distal segment of the limb, the abdomen or any combinations thereof. And the at least one interlocking unit forces on the pelvic region, the posterior sacral region, the distal segment of the limb or the abdomen to stimulate the nerves of these regions to guide user to swing or rotate and induce user to construct the muscles autonomously for operating stride action. With the help of cycling these actions, user's brain is guided to relearn to control the muscles and stride to attain the purpose of therapeutic effect of neurodevelopment. And the dynamic measurement module of said system detects the dynamic change in the at least one interlocking unit and generates a dynamic characteristic data to be send back to the control module. In this way, driving force execution timing, forcing strength, forcing duration, or forcing direction of the interlocking unit on user's pelvic region, posterior sacral region, distal segment of the limb, or the abdomen is adjusted immediately as parameters for protecting user from being over exerted by the interlocking unit and providing user a more accurate sensor input to adjust the strength of the assistance. Therefore, the present invention provides a novel and feasible strategy and resolves the problem of clinical rehabilitation.
Although the present application has been explained above, it is not the limitation of the range, the sequence in practice, the material in practice, or the method in practice. Any modification or decoration for present application is not detached from the spirit and the range of such.
Number | Date | Country | Kind |
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107126172 | Jul 2018 | TW | national |