CN111700618B - Counting rehabilitation training system and device - Google Patents
Counting rehabilitation training system and device Download PDFInfo
- Publication number
- CN111700618B CN111700618B CN202010417605.6A CN202010417605A CN111700618B CN 111700618 B CN111700618 B CN 111700618B CN 202010417605 A CN202010417605 A CN 202010417605A CN 111700618 B CN111700618 B CN 111700618B
- Authority
- CN
- China
- Prior art keywords
- training
- rehabilitation
- limb
- data
- data terminal
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000012549 training Methods 0.000 title claims abstract description 130
- 230000033001 locomotion Effects 0.000 claims abstract description 163
- 230000009471 action Effects 0.000 claims abstract description 18
- 230000000694 effects Effects 0.000 claims abstract description 17
- 230000002159 abnormal effect Effects 0.000 claims abstract description 7
- 238000000034 method Methods 0.000 claims description 13
- 238000007621 cluster analysis Methods 0.000 claims description 7
- 238000004891 communication Methods 0.000 claims description 7
- 230000002730 additional effect Effects 0.000 claims description 3
- 238000011156 evaluation Methods 0.000 abstract description 14
- 230000009286 beneficial effect Effects 0.000 abstract description 6
- 210000003414 extremity Anatomy 0.000 description 69
- 210000002683 foot Anatomy 0.000 description 23
- 210000001699 lower leg Anatomy 0.000 description 15
- 210000003423 ankle Anatomy 0.000 description 10
- 210000003205 muscle Anatomy 0.000 description 10
- 230000008859 change Effects 0.000 description 9
- 210000000629 knee joint Anatomy 0.000 description 9
- 230000036544 posture Effects 0.000 description 9
- 230000006378 damage Effects 0.000 description 8
- 210000000544 articulatio talocruralis Anatomy 0.000 description 7
- 238000005259 measurement Methods 0.000 description 7
- 208000027418 Wounds and injury Diseases 0.000 description 6
- 208000014674 injury Diseases 0.000 description 6
- 210000000689 upper leg Anatomy 0.000 description 6
- 230000006872 improvement Effects 0.000 description 5
- 238000012545 processing Methods 0.000 description 5
- 210000002310 elbow joint Anatomy 0.000 description 4
- 230000036541 health Effects 0.000 description 4
- 238000011084 recovery Methods 0.000 description 4
- 206010017076 Fracture Diseases 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 3
- 210000000988 bone and bone Anatomy 0.000 description 3
- 244000309466 calf Species 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 238000006073 displacement reaction Methods 0.000 description 3
- 239000000284 extract Substances 0.000 description 3
- 210000000245 forearm Anatomy 0.000 description 3
- 238000012544 monitoring process Methods 0.000 description 3
- 238000010606 normalization Methods 0.000 description 3
- 238000011160 research Methods 0.000 description 3
- 230000009897 systematic effect Effects 0.000 description 3
- 210000003371 toe Anatomy 0.000 description 3
- 206010038548 Renal vein thrombosis Diseases 0.000 description 2
- 208000010040 Sprains and Strains Diseases 0.000 description 2
- 230000001133 acceleration Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 2
- 230000000386 athletic effect Effects 0.000 description 2
- 210000001142 back Anatomy 0.000 description 2
- 238000005452 bending Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 210000003141 lower extremity Anatomy 0.000 description 2
- 230000000474 nursing effect Effects 0.000 description 2
- 238000000554 physical therapy Methods 0.000 description 2
- 230000002980 postoperative effect Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000001737 promoting effect Effects 0.000 description 2
- 210000001364 upper extremity Anatomy 0.000 description 2
- 210000000707 wrist Anatomy 0.000 description 2
- 208000025978 Athletic injury Diseases 0.000 description 1
- 208000000094 Chronic Pain Diseases 0.000 description 1
- 208000034657 Convalescence Diseases 0.000 description 1
- 206010011409 Cross infection Diseases 0.000 description 1
- 208000028389 Nerve injury Diseases 0.000 description 1
- 206010029803 Nosocomial infection Diseases 0.000 description 1
- 208000002193 Pain Diseases 0.000 description 1
- 206010041738 Sports injury Diseases 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 230000017531 blood circulation Effects 0.000 description 1
- 230000001680 brushing effect Effects 0.000 description 1
- 230000007012 clinical effect Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000994 depressogenic effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000008030 elimination Effects 0.000 description 1
- 238000003379 elimination reaction Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 239000004744 fabric Substances 0.000 description 1
- 206010016256 fatigue Diseases 0.000 description 1
- 230000002650 habitual effect Effects 0.000 description 1
- 230000035876 healing Effects 0.000 description 1
- 210000004394 hip joint Anatomy 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 208000015181 infectious disease Diseases 0.000 description 1
- 210000001503 joint Anatomy 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 210000005036 nerve Anatomy 0.000 description 1
- 230000008764 nerve damage Effects 0.000 description 1
- 210000004197 pelvis Anatomy 0.000 description 1
- 238000012805 post-processing Methods 0.000 description 1
- 239000000047 product Substances 0.000 description 1
- 238000007665 sagging Methods 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
- 238000002560 therapeutic procedure Methods 0.000 description 1
- 210000002303 tibia Anatomy 0.000 description 1
- 230000001131 transforming effect Effects 0.000 description 1
- 238000010200 validation analysis Methods 0.000 description 1
- 210000003857 wrist joint Anatomy 0.000 description 1
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/7405—Details of notification to user or communication with user or patient ; user input means using sound
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Medical Informatics (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Physics & Mathematics (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Physiology (AREA)
- Dentistry (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Rehabilitation Tools (AREA)
Abstract
The invention relates to a counting rehabilitation training system, comprising: the sensor modules are at least two and are respectively arranged on the movable limbs of the person to be rehabilitated in a relatively fixed mode and can be connected in a mutually rotating mode so as to acquire the movement parameters of the movable limbs, and the data terminal is in data connection with the sensor modules so as to receive the movement parameters and judge the effectiveness of rehabilitation training of the person to be rehabilitated based on the movement parameters; the data terminal is configured to: the activity data generated based on the motion parameters in a manner of referencing at least two references is compared to a threshold corresponding to the motion limb to determine whether to account for normal training data and/or to prompt for abnormal training data. The invention solves the technical problems that the posture of the person to be recovered is incorrect but is judged to be effective during training, effectively improves the scientificity of the system evaluation result, and is beneficial to guiding the person to be recovered to recover according to the correct appointed action.
Description
Technical Field
The invention relates to the technical field of intelligent rehabilitation equipment, in particular to a counting type rehabilitation training system and device.
Background
The development of rehabilitation disciplines has prompted the new need for rehabilitation intelligent devices. The rehabilitation device is generally applied to critical patients, severe patients, postoperative patients, athletes and other people. Scientific research data show that: the postoperative rehabilitation exercise (such as foot pump exercise) can assist patients with dynamic injury (such as fracture) and sports injury (such as knee joint fatigue injury) to quickly heal, and can also prevent renal vein thrombosis. For example, since the ankle joint, the knee joint, etc. of a human body are located in a specific position, which is an important joint for weight bearing and movement of the human body, movement injuries of the ankle joint and the knee joint are very common injuries. The ankle joint and the knee joint are generally required to be recovered with guidance after being damaged, if the recovery treatment is improper, chronic pain, repeated damage and the like can be caused, and damage to the hip joint, the pelvis and the spine can be further influenced due to improper body limb mechanics; moreover, if the patient does not perform rehabilitation (or rehabilitation is not scientific), the patient has a high probability of renal vein thrombosis.
Taking ankle joint foot pump rehabilitation as an example, a patient adopts a supine position, the lower limbs are stretched, the thighs are relaxed, the toes are slowly hooked inwards, and the toes are kept towards the patient for a certain period of time; the toe is then stretched and depressed, held for a certain period of time, and then relaxed. Patients were suitably trained in 5-8 groups per day. However, since most of the training is not monitored by professional medical staff in real time, patients may not judge whether the training meets the standard in the training process, and some patients may not complete the rehabilitation training plan. Therefore, a specialized intelligent device is needed to assist the patient or medical personnel in determining the completion of the patient's rehabilitation program. For example, chinese patent publication No. CN109480854a discloses a rehabilitation training device with a combination sensor and use thereof. The device comprises: the rehabilitation part sensing system is connected with the mobile terminal in a wireless way; wherein, recovered position sensing system includes: the sensor module is fixed at the position to be rehabilitated, is connected with the Bluetooth module, is used for collecting the movement data of the position to be rehabilitated, transmits the movement data to the Bluetooth module, and receives an initialization instruction transmitted by the mobile terminal through the Bluetooth module; the Bluetooth module is connected with the sensor module and the mobile terminal and is used for receiving the movement data of the part to be rehabilitated sent by the sensor module, sending the movement data to the mobile terminal and sending an initialization instruction sent by the mobile terminal to the sensor module; the mobile terminal is in wireless connection with the Bluetooth module for data transmission. The device of the invention enables a patient to perform standard rehabilitation training at home.
In general, the more sensor settings, the more accurate the measurement. However, this also brings about a huge amount of data transmission and data analysis, which in turn causes a series of difficulties in power supply, accuracy, data redundancy elimination, and the like. For users, a large number of sensors means that it is necessary to learn how to wear a large number of intelligent devices "accurately" first, then pair the devices one by one (and possibly charge the devices), then debug them, and then start the exercise. This typically means that ten minutes or more of device commissioning work must be performed before a scientific exercise.
Disclosure of Invention
Aiming at various defects in the prior art: in the prior art, most sports rehabilitation exercises use mechanical devices to assist in training, and a person to be rehabilitated performs rehabilitation through instrument training. In this case, the degree of rehabilitation of the patient is made by combining clinical experience with medical staff, which is an empirical evaluation method. However, with the importance of people on health, experience assessment is gradually replaced by intelligent assessment. In the existing rehabilitation intelligent training evaluation method, a sensor is arranged on a limb, motion parameters of a motion limb are collected, and then post-processing is carried out through a data processor, and an index is output to determine the rehabilitation degree. However, the existing intelligent evaluation method has the following disadvantages: due to insufficient control force of the rehabilitation limb of the rehabilitation patient, even if the rehabilitation limb finishes some qualified angle training, for example, the rehabilitation limb can reach the angle between the instep and the lower leg, the instep still rotates in the other direction instead of the designated training gesture, so that the correct training angle of the incorrect training state is mistakenly judged to be qualified, the incorrect training state of the patient is further misled to be the correct gesture, and rehabilitation of a patient to be rehabilitated is not conveniently guided. In addition, in order to cope with the situation that the intelligent devices are too many in variety and too large in number, one of the other starting points of the invention is to reduce the sensors as much as possible, adopt as few sensors as possible to cope with different movement parts, achieve movement effect analysis of the different parts by a small amount of devices, and be used for guiding rehabilitation movement scientifically.
The invention provides a counting type rehabilitation training system, which comprises at least two sensor modules, a data terminal and a control module, wherein the sensor modules are respectively arranged on movable limbs of a person to be rehabilitated in a relatively fixed mode and can be connected in a mutually rotating way so as to acquire the movement parameters of the movable limbs; the data terminal is configured to: the activity data generated based on the motion parameters in a manner of referencing at least two references is compared to a threshold corresponding to the motion limb to determine whether to account for normal training data and/or to prompt for abnormal training data.
In the present invention, one of the at least two references is the other of the moving limbs that is movably connected to the moving limb, and therefore, the at least two sensors are required to interact with each other via the data terminal to determine whether the movement is numerically acceptable for validation.
In the invention, at least two reference objects can acquire the motion of at least two dimensions of a motion limb based on motion parameters, and one dimension of the at least two dimensions is the correct motion dimension in a rehabilitation plan of a person to be rehabilitated, such as foot hooking (correct only instep upwarp); the other at least one dimension may be an additional wrong dimension due to insufficient muscle strength or wrong formation of nerve transmission signals, such as foot hooking (the patient generates instep deflection), so that one of the references can reflect the angle reached by the foot hooking, and the other reference assists with a "monitoring" function to determine whether it has additional movement. Thus, one of the at least two references is preferably the other limb that is movable relative to the moving limb, while the other reference is preferably aided by a stationary reference (e.g., bed, wall, etc.) to determine if it has additional activity when the given activity is completed.
In the present invention, one of the reference objects for moving the limb is a reference object that can be linked with the reference object. Because of the physiological structure of the human body, the moving limbs do not move rigidly, one of the moving limbs moves, and the other moving limb can be jogged along with the movement during training, so that the numerical evaluation of the rehabilitation action of the moving limbs is required to be corrected; therefore, the two moving limbs can be corrected by referring to another or other reference objects and then the corresponding index of the numerical evaluation is determined, so that the scientificity and the effectiveness of the system are improved.
According to a preferred embodiment, the data terminal extracts motion characteristic values based on motion parameters in a mode of referencing the at least two references to perform gesture cluster analysis to obtain gesture events, and the data terminal compares the activity data with a threshold value corresponding to a current setting event when the gesture event is the current setting event; in the case that the gesture event is not the current setting event, the data terminal directly determines that the motion is invalid.
According to a preferred embodiment, the data terminal comprises a voice prompt unit, and in the case that the data terminal judges the exercise to be invalid, the voice prompt unit feeds back voice information related to the exercise to a person to be rehabilitated.
According to a preferred embodiment, the voice prompt unit is further configured to sound when the exercise of the person to be rehabilitated meets the effective condition, so as to prompt the person to be rehabilitated to reset the limb to be exercised in preparation for the next exercise.
According to a preferred embodiment, the data terminal comprises a timing setting unit for setting a movement period, so as to prompt the rehabilitation training to be performed by the rehabilitation person according to a set number in a certain period.
According to a preferred embodiment, a sensor module consisting of at least two motion sensors is arranged on the same movement limb in such a way that a center of movement can be detected. Because the motion limb is provided with muscles, the motion limb can shrink and relax, so that the sensor can slightly move relative to the motion limb in a macroscopic manner, and further the motion parameter acquired by sensing has errors, in order to reduce the errors, the invention sets a plurality of limbs on the motion limb (especially the rehabilitation motion limb) to acquire a plurality of groups of data, then the motion parameters acquired by the sensors are respectively referred to the motionless reference object in at least two reference objects to determine the motion center, and then numerical evaluation is carried out, so as to reduce the systematic errors caused by the shrinkage or relaxation of the muscles.
According to a preferred embodiment, the sensor module is integrated on the wearing body fitting the sports limb in such a way as not to interfere with the training of the sports limb. The 'non-disturbing mode' is mainly to keep the sports limb capable of being scientifically trained in an unconstrained mode as much as possible. The sensor module is integrated on the wearing body, so that the wearing convenience and the wearing rapidness of a person to be rehabilitated are ensured, and the wearing body is provided with the mark so as to ensure the correct wearing direction; secondly, the wearing body has certain protection and warmth, especially for the patient with weak bones, and safety is considered.
According to a preferred embodiment, the data terminal is capable of establishing a communication connection with a medical terminal such that the medical terminal is capable of providing training rehabilitation programs, rehabilitation guidelines and/or online query services to the data terminal based on the exercise results fed back by the data terminal. With the development of the fifth generation mobile communication technology, the invention also provides a function of 'cloud rehabilitation', aiming at: firstly, a patient to be rehabilitated is not easy to frequently run in a hospital to perform rehabilitation training, and doctors cannot frequently go to the gate to serve, so that cloud rehabilitation is provided to maintain effective communication between medical care and the patient to be rehabilitated; secondly, in the period of major epidemic situation, the person to be rehabilitated is not required to go to the hospital, so that the working intensity of medical staff is reduced, and the risk of infection is reduced.
According to a preferred embodiment, the present invention also provides a counter-type rehabilitation training device for a foot pump, comprising: the sensor module is integrated on the wearing body which is matched with the sports limb, the data terminal is in communication connection with the sensor module according to a training mode which does not interfere with the sports limb so as to acquire training parameters of the sports limb, and the data terminal is configured to: the activity data generated based on the motion parameters in a manner of referencing at least two references is compared to a threshold corresponding to the motion limb to determine whether to account for normal training data and/or to prompt for abnormal training data.
According to a preferred embodiment, the data terminal extracts motion characteristic values based on motion parameters in a mode of referencing the at least two references to perform gesture cluster analysis to obtain gesture events, and the data terminal compares the activity data with a threshold value corresponding to a current setting event when the gesture event is the current setting event; in the case that the gesture event is not the current setting event, the data terminal directly determines that the motion is invalid.
Drawings
FIG. 1 is a schematic block diagram of a training system provided by the present invention;
FIG. 2 is a schematic diagram of an arrangement of a sensor module provided by the present invention; and
fig. 3 is a schematic diagram of a measurement principle of the present invention.
List of reference numerals
100: sensor module 300: medical terminal
200: data terminal
Detailed Description
The following is a detailed description with reference to fig. 1, 2 and 3.
Example 1
The embodiment discloses a counting rehabilitation training system. As shown in fig. 1, the training system includes a sensor module 100 and a data terminal 200. The invention can mainly aim at the rehabilitation exercise of the upper limb and the lower limb. Namely: the invention is not only aimed at foot pump rehabilitation exercises, but also can be aimed at upper limbs such as wrist joints and elbow joints.
The present embodiment is mainly explained by taking the rehabilitation exercise of the foot pump as an example.
A sensor module 100 having at least two. For example, one is fixed to the foot and the other is fixed to the lower leg for acquiring training parameters of the ankle during ankle training. As another example, one is fixed to the calf portion and the other is fixed to the thigh portion for acquiring the knee joint training parameters during knee joint training. For another example, one is fixed to the foot, one is fixed to the lower leg, and one is fixed to the thigh, for acquiring training parameters of the ankle joint and the knee joint during ankle joint training and knee joint training. The sensor 100 may be an acceleration sensor, an angle sensor, a displacement sensor, or a speed sensor.
The data terminal 200 may be a data processing device such as a computer, an IPAD, a smart phone, etc. The data terminal 200 is data-connected to the sensor module 100. The data terminal 200 is preferably wirelessly connected to the sensor module 100 in the present invention. The method comprises the following steps: by adopting the technical scheme of the data line, the data line can form a binding constraint similar to that of a training limb of a patient during exercise training, and discomfort is brought to the patient; the physical constraint of the data wire on the limb of the patient is not good for the rehabilitation of the patient due to the insufficient muscle strength of the training limb, so that the wireless connection mode is adopted, and the psychological and physiological comfort of the patient is achieved; and two,: because of the "binding" of the data-free line, the sensor module 100 is convenient and quick to wear; thirdly, the data terminal can be handheld by using a wireless connection mode, and the patient can know the rehabilitation data of the patient in real time, so that the patient can adjust the action gesture of the patient in real time to recover as soon as possible. The intelligent mobile phone APP can be developed, the host is reduced, the screen is reduced, the battery size is reduced, and the main board sensor is reserved; the intelligent mobile phone is used as an operation end, a training method is set, training times are displayed, meanwhile, the app background can push packages of the corresponding training method, prompt the training mode of the corresponding joint and the using method of equipment, and data are recorded and uploaded to the cloud end, so that a doctor can conveniently feed back the training condition of a patient and can be used for scientific research.
The data terminal 200 is configured to: the activity data will be generated in a manner referencing at least two references based on the motion parameters. For example, ankle rehabilitation training is performed, and the data terminal 200 is defined to "ankle training course" so that the data terminal 200 evaluates exercise data from its database with the evaluation index of the ankle training course. In ankle rehabilitation training, the moving limb is a foot, the other moving limb rotatably connected with the ankle rehabilitation training is a shank, then one of the reference objects can be defined as the shank, the sensor module 100 is fixed on the shank, and the three-dimensional parameters of the shank are acquired by the sensor module 100 on the shank. The data terminal 200 can generate a movement angle of the foot with respect to the lower leg based on the movement parameters collected by the sensor module 100 on the foot and the sensor module 100 on the lower leg, and evaluate the movement angle with a threshold value of the movement angle corresponding to the ankle to determine whether to count in normal training data and/or prompt abnormal training data. While another reference may be defined as a stationary wall. The three-dimensional parameters of the wall may be predefined to the data terminal 200. At this time, when the foot is lifted or sagged on the lower leg, if the foot has deflection, the data terminal 200 generates an additional deflection angle based on the wall, and at the initial stage of training, the deflection angle can be defined according to a predetermined threshold value, so that the user to be rehabilitated can have a certain range of deflection, thereby increasing the flexibility of the ankle part and the channel and collaterals unobstructed; while as rehabilitation progresses, the deflection angle is not allowed gradually, but the threshold value thereof can be adjusted to approach the angle conforming to the human body structure gradually. Therefore, one of the reference objects can reflect the angle of the hooked foot reached by the hooked foot, and the other reference object is assisted with a 'monitoring' function to judge whether the reference object has additional movement. Therefore, the effectiveness of the motion judgment by the aid of the motion parameters on at least two reference objects is scientific, and the method is particularly suitable for children patients, the children patients belong to people difficult to cooperate, the children can possibly finish the motion by deliberately not finishing or being difficult to control the muscle strength, and the children can be prompted on how to finish the motion in an animation voice mode through the data terminal. Through experiments, the child safety device brings a certain safety feeling to the child patient, so that the child patient can easily complete the appointed action in a matching way.
Preferably, at least two references may be used for the data terminal 200 to perform cluster analysis on the motion profile extracted motion feature values to obtain the profile event. Taking ankle training rehabilitation as an example, the lifting and sagging of the foot are the correct posture events, which are obtained by taking the lower leg as a reference; while deflection of the foot is through a wall-acquired gesture event. Wherein the extracted characteristic value may be an angle, a displacement or an acceleration. In case the gesture event is a current setting event, i.e.: when the gesture event generated by the data terminal in combination with the motion parameter is a setting event, the data terminal 200 will compare the activity data with a threshold value corresponding to the setting event; in the case where the gesture event is not the current setting event, the data terminal 200 directly determines that the motion is invalid, thereby saving the operation cost.
The technical scheme for evaluating the exercise parameters by applying at least two reference objects is mainly suitable for primary healing patients with insufficient muscle strength, nerve injury and the like, and if transitional intervention is not carried out on the early-stage action standardization, habitual sprains, dislocation or sequelae and the like can be caused even after rehabilitation. The invention can adopt a physical therapy mode of 'step-by-step' rehabilitation so as to gradually standardize the actions of patients. "step" means: in the gradual normalization process of the person to be rehabilitated, the number of the reference objects is reduced or reset, the person to be rehabilitated is monitored in a more-to-less mode, some actions which are not normalized in movement can be allowed to appear for the patient in the early stage of rehabilitation, the person to be rehabilitated is subjected to normalized cluster analysis in a plurality of reference objects, and actions are normalized or reasons for the actions which are not normalized are found in time, so that a rehabilitation scheme is improved, and meanwhile, the moderate movement free range of the person to be rehabilitated is ensured. Through clinical findings, the rehabilitation person has obvious acceptance on the physical therapy scheme of stepping and the timely specification of the action of non-specification, and obtains better feedback.
Preferably, the data terminal 200 includes a voice prompt unit. In the case where the data terminal 200 determines that the exercise is not effective, the voice prompt unit feeds back voice information related to the exercise to the rehabilitee. For example, when the action of the person to be recovered is not standard, the voice prompt unit prompts the 'oiling, please hook the outer instep slightly to the inner side', so that the patient can timely adjust the irregularity of the movement action of the person to be recovered, and the 'timely' feedback and the 'stepping' supplement each other, so that the person to be recovered is guaranteed to maximally and timely standard the movement action in the recovery process.
Preferably, the voice prompt unit is further used for making a sound when the exercise of the person to be rehabilitated meets the effective condition, so as to prompt the person to be rehabilitated to reset the limb to be exercised to prepare for the next exercise. For example, "this movement is qualified, please slow reset, refuel".
Preferably, the data terminal 200 includes a timing setting unit for setting a movement period, so as to prompt a rehabilitation training to be performed by a preset number of rehabilitation users in a certain period. For example, the set exercise cycle is 5 minutes, and the rehabilitation person needs to complete 10 foot hooks and 10 instep sags within 5 minutes. Prompting the rehabilitation waiter to move in the movement period in a countdown mode. The set movement period may be a training mode using "stepping". The intensity of movement that the patient can withstand is in a low-volume state during the early stages of rehabilitation, while the intensity of movement that the patient can withstand is in a high-volume state during the progress of rehabilitation. Specifically, the time that the rehabilitation person can exercise at one time in the earlier stage may be only 3 minutes, and the number is 5. In the latter stage, the time for one movement can be 6 minutes, and the number is 15. The stepping therapy can recover from the body, and more preferably, the mind is recovered better.
Preferably, a sensor module 100 consisting of at least two motion sensors is arranged on the same movement limb in such a way that a center of movement can be acquired. The exercise limb comprises a plurality of muscles which are not rigid bodies in a strict sense, the sensor can have macroscopic 'inching' when the muscles shrink or relax after being arranged, namely, the sensor can generate position change relative to the other exercise limb, the sensor can also generate tiny position change to the exercise limb which needs to be acquired, and the sensor module 100 superimposes 'shift' quantity in the acquisition parameters after 'shifting', so that acquired data cannot necessarily represent real exercise parameters due to the inching, and has a certain systematic error. For this purpose, as shown in fig. 2, three motion sensors are provided on the same motion limb, the center of motion of which is determined according to the acquisition parameters of the three sensors, so as to attenuate systematic errors caused after the sensor module 100 is shifted. The first mode is as follows: taking the determined barycentric coordinates of the three sensors as a movement center; the second mode is as follows: the motion parameter of the sensor with the smallest displacement in the three sensors is taken as the motion center. On one hand, the inventor of the invention realizes that the initial bones of a person to be recovered are fragile and easy to fracture, and the technical scheme for determining the movement center has the advantages that the data operation amount of the data terminal 200 is increased due to the addition of a plurality of sensors, and the early rehabilitation training is not suggested, because the early rehabilitation training is mainly used for promoting the meridian passage and blood circulation of the person to be recovered, but is not needed to be quantitatively trained; the technical scheme is suitable for a rehabilitation waiter in the later period of rehabilitation by reducing errors, promotes the rehabilitation waiter to further and faster meet the normal posture condition, and can strengthen the muscle control capability and the maintenance training of the rehabilitation waiter. Thus, the data terminal 200 may set different training packages or set training packages in conjunction with doctor advice via the medical terminal 300.
Preferably, since the sensor module 100 may integrate a plurality of sensors, it is integrated to a wearing body, such as a training sock. At this time, the sensor is mainly a flexible sensor, which can be integrally connected with the fabric, so as to acquire the movement parameters in a manner that can not interfere with the training of the movement limb. The sensor module is integrated on the wearing body, so that the wearing convenience and the wearing rapidness of a person to be rehabilitated are ensured, and the wearing body is provided with the mark so as to ensure the correct wearing direction; secondly, the wearing body has certain protection and warmth, especially for the patient with weak bones, and safety is considered.
Example 2
This embodiment may be a further improvement and/or addition to embodiment 1, and the repeated description is omitted. In addition to this embodiment, the preferred implementation of the other embodiment may be provided in whole and/or in part without conflict or contradiction.
The data terminal 200 is mainly used for timely feeding back the normalization of the motion to the patient after one motion is completed, and may be a data processor carried by the patient or placed nearby. The rehabilitation system provided in this embodiment further includes a medical terminal 300, where the medical terminal 300 is mainly used for outputting a movement report after one or more groups of movements are completed, and may be a data processor or a smart phone disposed in a medical institution. Such as sports reports include: the angle, the movement time (or the movement frequency), the standard reaching number, the standard failing number and the like of each movement can be presented in a mode of imaging (such as a pie chart, a histogram, a line chart and the like) and literal (such as 90% of standard reaching rate and 10% of standard failing rate) so as to summarize the training condition.
Preferably, as shown in fig. 2, the data terminal 200 is capable of establishing a communication connection with the medical terminal 300. The medical terminal 300 can receive the training result fed back by the data terminal 200, and the medical staff can perform professional evaluation on the training result by inquiring the medical terminal 200 and then feed back an improved rehabilitation plan or rehabilitation guidance to the data terminal 200 for the rehabilitation waiter to read. The data terminal 200 and the medical terminal 300 may also establish a video, audio, etc. connection to enable the two parties to "cloud query". In this way, the user to be rehabilitated is not easy to frequently run in the hospital to perform rehabilitation training, and doctors cannot frequently go to the service, so that cloud rehabilitation is provided to maintain effective communication between medical care and the user to be rehabilitated; in the major epidemic situation, the patient to be rehabilitated is not required to go to the hospital, so that the working intensity of medical staff is reduced, and the risk of cross infection of the two parties is reduced.
Preferably, the training results displayed by the data terminal 200 and the training results displayed by the medical terminal 300 may be different. Specifically, the training results displayed by the data terminal 200 are relative values, and the training results displayed by the medical terminal 300 may be relative values and absolute values. The relative values refer to: the rate of change of an evaluation index over a period of time, such as the rate of change of the compliance rate over a period of time. And absolute values refer to: the absolute value of a certain evaluation index in the period of time, such as the standard reaching rate. For this reason, the system provided by the invention has the following advantages, especially for the elderly population, mainly compared with the prior art: 1. the system of the invention adopts the relative value to evaluate the rehabilitation state of the rehabilitation person, the relative value is used for describing the change trend of the health state of the rehabilitation person, the change speed of the health state of the rehabilitation person can be reflected in a certain period of time, and the relative value can be simultaneously displayed by the data terminal 200 and the medical terminal 300; 2. the relative value is obtained from the past rehabilitation data of the person to be rehabilitated, so that the relative value can be presented to the person to be rehabilitated in a non-quantitative mode, the solid line closed loop is more circular, the fact that the circle of the solid line closed loop represents the fact that the change of the person to be rehabilitated relative to the past rehabilitation data of the person to be rehabilitated is larger, the person to be rehabilitated can only qualitatively know the change of the rehabilitation state of the person to be rehabilitated through the roundness of the closed loop, and the closed loop presents an approximate circle under correct rehabilitation guidance, so that the mode is more beneficial to the person to be rehabilitated to accept the health state of the person to be rehabilitated, accords with the state of the Chinese pursuing 'satisfaction', is beneficial to the person to strengthen the convalescence, the circle has the satisfaction in the Chinese traditional culture, and a great deal of reports indicate that most people have the consciousness pursuing, and the subconscious consciousness can prompt the person to spontaneously execute specific operations without thinking. The round + color (especially red) is used to promote the healthy living state of the person to be rehabilitated, which has a theoretical basis in the aspects of active psychology and nursing for the rehabilitation of the person to be rehabilitated. The invention skillfully combines the red color and the round shape of the traditional culture to cultivate the users to form good rehabilitation habits, is more beneficial to promoting the users to self-take better life style from the psychological aspect, greatly reduces the workload of the users and staff, and has complex physiological and psychological intervention schemes behind the round shape, thus being the inventor of the invention with obvious clinical effects in the experience summary of long-term nursing research. 3. The medical terminal 300 compares the activity data in the data terminal 200, which is beneficial to reducing the operation amount of the local terminal on one hand and is beneficial to the miniaturization and light-weight design of the data terminal 200 so as to accurately collect the motion parameters in an efficient and energy-saving way; on the other hand, the medical terminal 300, which is a top-level data processing terminal, has management processing capability for similar rehabilitation data, can read similar rehabilitation advice in the expert database in combination with the relative value, and push the same to the data terminal 200.
Example 3
This embodiment may be a further improvement and/or addition to embodiment 1, and the repeated description is omitted. In addition to this embodiment, the preferred implementation of the other embodiment may be provided in whole and/or in part without conflict or contradiction.
The present example provides a preferred embodiment:
two single inclination angle sensors are used for simultaneously measuring the inclination angles of the instep and the tibia (ankle joint) relative to the ground (the elbow joint, the big arm and the forearm, the knee joint, the thigh and the shank, and the like can also be measured), and the difference value of the two sensors is calculated as the bending angle of the joint. Setting a training standard reaching angle and a resetting effective angle, and making a sound by the buzzer when the elbow joint bending angle reaches a set threshold value and counting simultaneously. And presetting countdown time, recording the number of the up-to-standard finished products in the timing time, and stopping counting after the timing time is up.
Description of Key Functions
The first key T: time, i.e., timing Time setting, clicking a key may switch the timing Time.
The second key V: the standard reaching angle is set, and different training standard reaching angles can be set by clicking the key, and are angles when the dorsum of the foot is bent.
Third key D: the reset angle is set, and different reset effective angles can be set by clicking the key, which is the angle between the instep and the calf when stretching straight.
Fourth key S: the Start/Stop switch function, and clicking the key can Start or pause the countdown and counting functions.
The operation is as follows:
the sensor module is closely attached to the instep and the lower leg, and the arrow points to the thigh direction.
And after the power supply is completed, the red power supply LED at the lower right corner is turned on, so that the power supply is normal.
The display screen can firstly carry out screen brushing operation, then two LEDs at the right lower corner flash for a plurality of times, and the display screen is completely extinguished to indicate that the normal working state is entered.
Effective count requirement: the device is stretched to exceed the reset effective angle (the first lamp is turned on, and the buzzer sounds) and then bent to reach the training standard angle (the second lamp is turned on, and the buzzer sounds) so as to be used as one-time effective counting.
Setting timing time in sequence, training the angle up to standard, resetting the effective angle, and paying attention to: the effective angle of resetting needs to be larger than the standard-reaching angle of training.
And after parameter setting is completed, clicking is started, counting down is started, and meanwhile, the angle value is collected to count up the standard. After the countdown is finished, the acquisition is stopped, the number reaching the standard is reserved on the display screen,
the fifth key is a buzzer mute key.
Preferably, the first key, the second key, the third key, the fourth key, and the fifth key may be provided to the medical terminal 300 for adjusting rehabilitation parameters such as a degree of exercise, an angle of exercise, and/or a time of exercise.
Example 4
This embodiment may be a further improvement and/or addition to one or a combination of embodiments 1, 2, and 3, and the repeated description is omitted. This example discloses that the whole and/or part of the contents of the preferred implementation of other examples can be complemented by this example without causing conflict or contradiction.
The present example provides a preferred embodiment: the movement effect analysis of different parts of the rehabilitation waiter under the safety condition can be monitored by using as few sensor modules 200 as possible. Specifically:
and selecting a corresponding safe training mode according to the limb to be trained. The embodiment can set at least two training modes, and each training mode corresponds to a safety condition and a triggering condition, so as to ensure that a trainer can perform rehabilitation training under the safety condition, and prevent dangers, such as secondary sprains or secondary fractures, in the training of the trainee as much as possible. For example, the training mode may be a sole-calf training mode, a calf and thigh training mode. The training mode may be defined by a medical or caretaker in the data terminal 200, and after a defined training, the data terminal informs the person to be rehabilitated, the medical or rehabilitation personnel in a voice and/or video manner to fix the sensor relatively to the training limb which can be connected with each other in a movement, and then enters a training state.
(2) The rehabilitation training is performed by the rehabilitation waiter, and the sensor module 100 starts to perform data acquisition on the moving limb. The sensor module 100 located in one of the moving limbs can collect motion data of six degrees of freedom, and the sensor module 100 located in the other of the moving limbs can collect motion data of six degrees of freedom at the same time. According to the three-dimensional space, the data terminal 200 can calculate the spatial position relation between the two moving limbs before movement and during movement and after movement, and especially the data terminal 200 can calculate the offset and the mutual rotation angle of the moving centers of the two moving limbs before movement and after movement. The data terminal 200 determines whether the motion is a dangerous motion according to the offset of the center of motion. For example, according to the safety conditions set in the data terminal 200, if the offset of the movement center exceeds the preset space range, the data terminal 200 will tell the rehabilitation person that the movement is dangerous through the voice prompt unit. If the movement center does not exceed the preset space, the data terminal 200 enters the action normalization evaluation, i.e., the reference evaluation and the angle standard evaluation can be performed on the movement center to evaluate whether the movement posture is qualified. The above optional settings of the safety training mode can be applied not only to foot pump training, but also to rehabilitation exercises of other sports limbs, such as arm exercise rehabilitation and the like. The inventor of the present invention recognizes that on one hand, the patient who is primarily recovered is poor in muscle strength, which is easy to cause injury to the sports limb, and on the other hand, the running cost of the equipment is low, so that the safety of the patient to be recovered (especially the patient who just starts to perform rehabilitation training) is ensured as much as possible, the data processing amount is reduced as much as possible, dangerous actions are timely prompted, and the secondary injury of the primary healer in rehabilitation is prevented.
Example 5
This embodiment may be a further improvement and/or addition to one or a combination of embodiments 1, 2, 3, and 4, and the repetition of the description is not repeated. This example discloses that the whole and/or part of the contents of the preferred implementation of other examples can be complemented by this example without causing conflict or contradiction.
The present embodiment discloses a measurement system, where the sensor module 100 of the system includes only two single tilt sensors, and the measurement principle is shown in fig. 3. The two single-tilt angle sensors are respectively fixed on two limbs which can rotate mutually. The steps of the measurement system are configured to:
s1: initializing, and defining a reference surface. In a first posture, determining a positional relationship between two single-tilt sensors and expressing the positional relationship as a first vector; transforming to a second posture, determining the position relation between the two single-tilt sensors and expressing the position relation with a second vector; the second pose needs to be changed in such a way that the first vector and the second vector can generate a plane, and the plane determined by the first vector and the second vector is taken as a reference plane.
S2: before the exercise, defining the coordinates A (0, 0) of a single tilt sensor (the measured value of which is represented by an angle mark of "1"); coordinate B (x) of single tilt sensor measuring second limb (the measurement value of which is indicated by the angle mark "2") 2 、y 2 、z 2 )；
S3, after the movement, measuring the coordinate A' (x) of the single-tilt sensor of the first limb relative to the reference surface 1’ 、 y 1’ 、z 1’ ) And its angle alpha relative to the reference plane 1 The method comprises the steps of carrying out a first treatment on the surface of the Measuring the co-ordinates B' (x) of the single tilt sensor of the second limb with respect to the reference plane 2’ 、y 2’ 、z 2’ ) And its angle of rotation alpha relative to a reference plane 2 ；
S4: based on angle alpha 1 (angle between A 'O' and AO) and angle alpha 2 (included angle between B 'O' and BO) determining the rotation angle alpha of the first limb relative to the second limb 12 。
S5: determining the coordinates O' (x) of the center of motion O of the rotation after the movement of the first limb relative to the second limb 0’ 、y 0’ 、z 0’ ). As shown in FIG. 3, the included angle between B 'O' and A 'O' is alpha 12 . Thus, from the vector algorithm, it is possible to determine (x 0’ 、y 0’ 、z 0’ ) Is a value of (2).
S6, determining the original coordinate value O (x 0’ 、y 0’ 、z 0’ ). Based on the common sense judgment, bo=b 'O' and ao=a 'O', the original coordinate value O (x 0 、y 0 、 z 0 )。
For example, wrist rehabilitation exercises are taken as an example. One of the sensors is fixed to the back of the hand (AO) and the other sensor is fixed to the small arm (BO). The measuring steps are as follows:
s1: a reference plane is defined. First posture: straightening the back of the hand and the small arm part to determine the position relationship between the two single-tilt sensors and expressing the position relationship with a first vector; and, defining the position coordinates of one of the single tilt sensors as (0, 0); second posture: the back of the hand and the forearm are kept in a straight state and rotate around the elbow joint for a certain angle, and after the posture change is determined, the coordinate values of the two single-tilt angle sensors relative to (0, 0) are determined, so that the position relation between the two single-tilt angle sensors is determined and expressed by a second vector; the reference plane is thereby determined based on the first vector and the second vector.
S2, before movement, defining coordinates A (0, 0 and 0) of a single inclination angle sensor (the measured value of the single inclination angle sensor is represented by an angle mark '1') at the back of the hand; coordinate B (x) of single tilt sensor measuring small arm (the measurement value of which is indicated by the angle mark "2 2 、y 2 、z 2 )；
S3, after the movement, the single inclination angle sensor for measuring the back of the hand is relative to the coordinate A' (x) of the reference surface 1’ 、 y 1’ 、z 1’ ) And its angle alpha relative to the reference plane 1 The method comprises the steps of carrying out a first treatment on the surface of the Co-ordinate B' (x) of single tilt sensor measuring small arm with respect to reference plane 2’ 、y 2’ 、z 2’ ) Relative to the angle alpha of rotation with respect to the reference plane 2 ；
S4, based on angle alpha 1 (angle between A 'O' and AO) and angle alpha 2 (angle between B 'O' and BO) determining the angle of rotation alpha of the back of the hand relative to the forearm 12 (180°-α 1 -α 2 )。
S5, determining the coordinate O' (x) of the rotation center O of the foot dorsum after the movement relative to the lower leg 0’ 、y 0’ 、z 0’ ). As shown in FIG. 3, the included angle between B 'O' and A 'O' is alpha 12 . Thus, from the vector algorithm, it is possible to determine (x 0’ 、y 0’ 、z 0’ ) Is a value of (2).
S6, determining the original coordinate value O (x 0’ 、y 0’ 、z 0’ ). Based on the common sense judgment, bo=b 'O' and ao=a 'O', the original coordinate value O (x 0 、y 0 、 z 0 )。
Based on the steps, the motion centers and the motion trail of the motion centers with different postures can be determined. For this purpose, the invention allows the movement path (OO') of the movement center of each movement to be determined by means of only two sensors. On the one hand, when a rehabilitation person performs rehabilitation training in the early stage, the motion trail of the motion center is calculated according to the appointed rehabilitation work, so that the accuracy and the effectiveness of the motion of the rehabilitation person are judged based on the motion trail, wherein the accuracy means that: for example, the wrist is tilted upwards or downwards, the preset correct motion track is a straight line or approximately a straight line, and if the motion track of the patient is a curve, the motion is incorrect; and effectiveness refers to: after a group of actions are completed, a plurality of motion tracks are generated, a group of track cloud pictures consisting of the motion tracks can be generated based on the motion tracks, if the fluctuation of the track cloud pictures is not large, the recovery motion of a patient is effective, otherwise, the fluctuation of the track pictures is large and/or disordered, and the recovery motion of the patient is ineffective. On the other hand, when rehabilitation training is performed in the later stage of rehabilitation, the patient can selectively perform rehabilitation exercise, and the model of rehabilitation exercise performed by the patient can be judged by matching the generated exercise trace with the exercise trace in the database, at the moment, the system automatically matches the relative angle threshold corresponding to the rehabilitation exercise, the relative angle between limbs is used as a standard for judging the effectiveness and the correctness of the work, and the frequency of the completion of the patient in a certain time can be used as an index of the rehabilitation condition of the patient. In addition, the embodiment can complete the monitoring and the judgment of the rehabilitation exercise only by means of the two single-inclination sensors, the data acquisition amount is small, the data processing is simple, auxiliary equipment such as image acquisition equipment is not needed, the rehabilitation cost can be reduced, the wearing time of a patient is shortened, and the method is simple and convenient.
In the same way, a rehabilitation exercise system with only two sensors can also be used for rehabilitation exercises of other joints.
Example 6
This embodiment may be a further improvement and/or addition to embodiments 1, 2, 3 or a combination thereof, and the repeated description is omitted. This example discloses that the whole and/or part of the contents of the preferred implementation of other examples can be complemented by this example without causing conflict or contradiction.
The embodiment discloses a counter type rehabilitation training device for a foot pump, which comprises a sensor module 100 and a data terminal 200. The sensor module 100 is integrated on a wearing body fitted to a moving limb. The wearing body can be a training sock or a training armguard, etc. The sensor module 100 is communicatively connected to the sensor module 100 in a manner that does not interfere with the training of the athletic limb to obtain training parameters of the athletic limb. The data terminal 200 is configured to: the activity data generated based on the movement parameters in a manner of referencing at least two references is compared to a threshold corresponding to the movement limb to determine whether to take into account normal training data and/or to prompt abnormal training data.
Preferably, the data terminal 200 extracts motion feature values based on the motion parameters in a manner of referencing at least two references for gesture cluster analysis to obtain gesture events. In the case where the gesture event is a current setting event, the data terminal 200 compares the activity data with a threshold value corresponding to the setting event. In the case where the gesture event is not the current setting event, the data terminal 200 directly determines that the motion is invalid.
It should be noted that the above-described embodiments are exemplary, and that a person skilled in the art, in light of the present disclosure, may devise various solutions that fall within the scope of the present disclosure and fall within the scope of the present disclosure. It should be understood by those skilled in the art that the present description and drawings are illustrative and not limiting to the claims. The scope of the invention is defined by the claims and their equivalents.
Claims (10)
1. A counting rehabilitation training system comprising:
a sensor module (100) which has at least two sensor modules and is respectively arranged on the mutually rotatably connected movement limbs of the person to be rehabilitated in a fixed manner so as to acquire the movement parameters of the movement limbs,
the data terminal (200) is in data connection with the sensor module (100) so as to receive the motion parameters and judge the effectiveness of rehabilitation training of a person to be rehabilitated based on the motion parameters;
it is characterized in that the method comprises the steps of,
the data terminal (200) is configured to: the method comprises the steps that in at least one optional safe training mode, activity data generated by referencing at least two references based on the motion parameters are compared with thresholds corresponding to the motion limbs, so as to determine whether normal training data are counted and/or abnormal training data are prompted;
One of the at least two references is another limb which is movable with the moving limb, and the other reference takes the stationary reference as an aid to determine whether the additional action exists when the specified action is completed;
the sensor modules (100) comprising at least two motion sensors are arranged on the same limb in such a way that a center of motion can be detected.
2. The training system of claim 1, wherein the data terminal (200) performs gesture cluster analysis to obtain gesture events based on the motion parameters by extracting motion feature values with reference to the at least two references,
the data terminal (200) compares the activity data with a threshold value corresponding to the set event in case the gesture event is a current set event;
in case the gesture event is not a current setup event, the data terminal (200) directly decides this movement as invalid.
3. Training system according to claim 1 or 2, characterized in that the data terminal (200) comprises a voice prompt unit,
in the case that the data terminal (200) judges that the exercise is invalid, the voice prompt unit feeds back voice information related to the exercise to the person to be rehabilitated.
4. A training system as claimed in claim 3 wherein the voice prompt unit is further adapted to sound in the event that the movement of the person to be rehabilitated meets a valid condition to prompt the person to be rehabilitated to reposition the moving limb in preparation for the next movement.
5. Training system according to claim 1, characterized in that the data terminal (200) comprises a timing setting unit for setting the movement period to prompt the rehabilitation person to perform rehabilitation training in a set number of ways within a certain period.
6. Training system according to claim 1, characterized in that a sensor module (100) consisting of at least two motion sensors is arranged on the same movement limb in such a way that a movement center can be acquired.
7. Training system according to claim 6, characterized in that the sensor module (100) is integrated on the wearing body fitting the sports limb in such a way as not to interfere with the training of the sports limb.
8. Training system according to claim 1, characterized in that the data terminal (200) is capable of establishing a communication connection with a medical terminal (300) such that the medical terminal (300) is capable of providing training rehabilitation programs, rehabilitation guidelines and/or online query services to the data terminal (200) based on the results of the movements fed back by the data terminal (200).
9. A counting rehabilitation training device, comprising:
a sensor module (100) integrated on a wearing body fitted to a sports limb,
a data terminal (200) in communication with the sensor module (100) in a manner that does not interfere with the training of the moving limb to obtain training parameters of the moving limb,
it is characterized in that the method comprises the steps of,
the data terminal (200) is configured to: comparing the activity data generated by referencing at least two references based on the motion parameters with a threshold corresponding to the motion limb to determine whether to count in normal training data and/or prompt abnormal training data;
one of the at least two references is another limb which is movable with the moving limb, and the other reference takes the stationary reference as an aid to determine whether the additional action exists when the specified action is completed;
the sensor modules (100) comprising at least two motion sensors are arranged on the same limb in such a way that a center of motion can be detected.
10. The training device of claim 9, wherein the data terminal (200) performs gesture cluster analysis to obtain gesture events based on the motion parameters by extracting motion feature values with reference to the at least two references,
The data terminal (200) compares the activity data with a threshold value corresponding to the set event in case the gesture event is a current set event;
in case the gesture event is not a current setup event, the data terminal (200) directly decides this movement as invalid.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010417605.6A CN111700618B (en) | 2020-05-15 | 2020-05-15 | Counting rehabilitation training system and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010417605.6A CN111700618B (en) | 2020-05-15 | 2020-05-15 | Counting rehabilitation training system and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111700618A CN111700618A (en) | 2020-09-25 |
| CN111700618B true CN111700618B (en) | 2024-04-02 |
Family
ID=72537150
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010417605.6A Active CN111700618B (en) | 2020-05-15 | 2020-05-15 | Counting rehabilitation training system and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111700618B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112674761A (en) * | 2020-12-25 | 2021-04-20 | 苏州衡品医疗科技有限公司 | System and method for detecting human body deep sensation balance capability |
| CN113576409B (en) * | 2021-07-19 | 2023-09-05 | 河南翔宇医疗设备股份有限公司 | Training evaluation system and training evaluation method |
| CN116092630B (en) * | 2023-03-02 | 2023-10-20 | 北京积水潭医院 | Treatment method, system and medium for teenager scoliosis diseases |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103083027A (en) * | 2013-01-10 | 2013-05-08 | 苏州大学 | Gait phase distinguishing method based on lower limb joint movement information |
| CN104302251A (en) * | 2012-03-22 | 2015-01-21 | 埃克苏仿生公司 | Human machine interface for lower extremity orthotics |
| CN104398260A (en) * | 2014-12-10 | 2015-03-11 | 中山大学 | Ankle joint angle measuring system |
| CN108648795A (en) * | 2018-03-30 | 2018-10-12 | 常州市第人民医院 | A kind of ankle pump sport monitoring device and computer readable storage medium |
| CN209770380U (en) * | 2018-12-27 | 2019-12-13 | 重庆市北碚区中医院 | rehabilitation training device combined with sensor |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11337622B2 (en) * | 2015-06-22 | 2022-05-24 | University Of Maryland, Baltimore | Method and apparatus for providing economical, portable deficit-adjusted adaptive assistance during movement phases of an impaired ankle |
-
2020
- 2020-05-15 CN CN202010417605.6A patent/CN111700618B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104302251A (en) * | 2012-03-22 | 2015-01-21 | 埃克苏仿生公司 | Human machine interface for lower extremity orthotics |
| CN103083027A (en) * | 2013-01-10 | 2013-05-08 | 苏州大学 | Gait phase distinguishing method based on lower limb joint movement information |
| CN104398260A (en) * | 2014-12-10 | 2015-03-11 | 中山大学 | Ankle joint angle measuring system |
| CN108648795A (en) * | 2018-03-30 | 2018-10-12 | 常州市第人民医院 | A kind of ankle pump sport monitoring device and computer readable storage medium |
| CN209770380U (en) * | 2018-12-27 | 2019-12-13 | 重庆市北碚区中医院 | rehabilitation training device combined with sensor |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111700618A (en) | 2020-09-25 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111700618B (en) | Counting rehabilitation training system and device | |
| AU2017386412B2 (en) | Systems and methods for real-time data quantification, acquisition, analysis, and feedback | |
| US10973439B2 (en) | Systems and methods for real-time data quantification, acquisition, analysis, and feedback | |
| US11679300B2 (en) | Systems and methods for real-time data quantification, acquisition, analysis, and feedback | |
| CN108236560B (en) | Electric walking aid for promoting gait movement and application method thereof | |
| JP6359343B2 (en) | Motion information processing apparatus and method | |
| JP5386253B2 (en) | Walking diagnosis support system, walking pattern generation device, walking pattern generation program, and walking pattern generation method | |
| JP6351978B2 (en) | Motion information processing apparatus and program | |
| JP4825456B2 (en) | Muscle activity estimation system | |
| KR101738678B1 (en) | System for evaluating the ability of physical activity | |
| US11219389B2 (en) | Gait analysis and alerting system | |
| Song et al. | Cellphone-based automated Fugl-Meyer assessment to evaluate upper extremity motor function after stroke | |
| JP2003506165A (en) | Rehabilitation equipment | |
| CN111603136B (en) | Remote consultation system for foot diagnosis and treatment | |
| TW201714582A (en) | Lower limb motion sensing and rehabilitation training system particularly designed for patients before or after artificial hip joint replacement surgery or artificial knee joint replacement surgery | |
| CN115738188A (en) | Balance function training device and method based on virtual reality technology | |
| Park et al. | Measurement and analysis of gait pattern during stair walk for improvement of robotic locomotion rehabilitation system | |
| CN111326232A (en) | Method for identifying abnormal gait form based on three-dimensional gait analysis system | |
| CN115474926A (en) | Gait recognition method and system for medical assistance | |
| Silva et al. | A technological solution for supporting fall prevention exercises at the physiotherapy clinic | |
| CN113362925B (en) | Automatic good limb position control method and device | |
| Yu | Comparison of reliabilities and validity between AR based motion capture system and physical therapist: Preliminary study | |
| Mazzoleni et al. | An ergonomic modular foot platform for isometric force/torque measurements in poststroke functional assessment: A pilot study. | |
| KR20240093529A (en) | System and method for manufacturing insoles that optimize patient movement, position, posture, and movement patterns | |
| Park et al. | Robot-Assisted Gait Training in Individuals With Spinal Cord Injury: A Systematic Review and Meta-Analysis of Randomized Controlled Trials |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |