33 results about "Gait disorders" patented technology

A method and system for provoking gait disorders, such as freezing of gait; usable, for example, for diagnosing and / or treatment thereof. In an exemplary embodiment of the invention, displays of situations calculated to cause freezing of gait are presented to a subject, optionally using virtual reality displays. Optionally or alternatively, incipit freezing of gait is identified using changes in gait parameters, and optionally used to guide attempts at causing freezing of gait. Optionally or alternatively, a portable device is provided which detects incipit freezing of gait and generates a corrective signal to the subject.

A gait management apparatus applies stimulation to a user suffering from a neurological disease (such as Parkinson's Disease) gait dysfunction. Motion sensors are arranged to be worn by a patient, and electrical stimulation electrodes are on the legs for stimulation. A controller receives motion sensing signals, and processes these signals to generate stimulation signals for operation of the electrodes to stimulate limb movement upon detection of a gait abnormality. There may be a user actuator for user actuation of electrical stimulation, and the inputs may be a series of taps. The controller may provide signals to prevent occurrence of freezing of gait when it senses that a patient is walking or has an intention to walk. Also, it may apply stimulation at an intensity level which is insufficient for functional muscle stimulation but sufficiently high to trigger activation of efferent nerves.

A system for treatment of gait disorders includes an external device in the form of a pulse generator (4) with an integrated rechargeable battery and a device adapted to be implanted in the human body. The system features an external to the body placed antenna (3) for the inductive link between the external device and the implanted device. This antenna further incorporates an additional secondary coil (24), for inductively charging the battery in the pulse generator. The fixture on the antenna for mounting the antenna on the skin of the person is reused for being received in a charger fixture (20) on the charger, containing the primary coil (22) for the transfer of charging power.

The invention discloses a gait acquisition and neuromuscular electrical stimulation system based on multi-sensor fusion, and belongs to the field of rehabilitation engineering. The system comprises anelectromyographic signal acquisition sensor module, a stimulation module, a wireless transmission module and an upper computer module, wherein the sensor module comprises a surface electromyographicsensor, a laser ranging sensor and an inertial sensor. According to the invention, surface electromyographic signals, Euler angles, angular velocities and accelerations of lower limbs and the distancefrom ankles to the ground during walking can be subjected to real-time wireless acquisition and transmission, and are sent to the upper computer module for calculation and processing. According to the invention, electrical stimulation modes and parameters of lower limb functional action and recurrence of healthy individuals can be obtained, and a control sequence of fine actions is studied; and aiming at a gait disorder user, an ankle-foot orthosis is matched, and an autonomous optimization control stimulation scheme is realized by utilizing myoelectricity and kinematics information, so thatthe aim of reconstructing a personalized movement function is fulfilled. According to the invention, wireless receiving and processing of data can be carried out based on a mobile terminal, and portability and practicability are improved.

A gait disorder support apparatus and gait disorder support method capable of detecting an onset sign of a gait disorder associated with motor symptoms in advance and performing motion assist are proposed. The onset sign of the gait disorder associated with the motor symptoms of a wearer is detected based on the correlation between a gait cycle and a reduction ratio of the gait cycle as compared to immediately preceding gait; and when the onset sign of the gait disorder is detected, a drive unit is controlled so that the drive unit applies assist power to a knee joint of the wearer; and on the other hand, when the onset sign of the gait disorder is not detected, the drive unit is controlled so that driving torque by the drive unit does not hinder the wearer's gait motion.

The invention provides a wearable freezing gait intelligent monitoring and walking aid device. The device comprises a triaxial accelerometer, a triaxial gyroscope, a triaxial geomagnetic sensor, a microcontroller and a power source, wherein the triaxial accelerometer, the triaxial gyroscope and the triaxial geomagnetic sensor are used for collecting the triaxial acceleration of an X axle, Y axle and Z axle; the microcontroller is used for detecting the state of freezing gait; and the power source provides power for the microcontroller. According to the wearable freezing gait intelligent monitoring and walking aid device, an FOG intelligent recognition and classification algorithm is developed for the freezing gait which is a special gait obstacle disease, an individual difference error caused by setting a critical threshold for judging acceleration is overcome, and thereby the accuracy degree of FOG recognition is improved. According to the wearable freezing gait intelligent monitoringand walking aid device, compared with an existing continuous laser guidance mode, the number of the freezing gait of a patient is significantly reduced under the rhythmic laser guidance, the freezingduration time is shortened, the rhythmicity and coordination of the gait are significantly improved (p (0.05), and the effect of rehabilitation training is achieved when the symptom of the freezing gait is improved.

A system for treatment of gait disorders reflects, with electrical stimulation patterns fed to electrodes (1, 8) arranged at the patient, on the event of heel-strike and heel-off, the events being generated by a wireless heel switch (5). The pulse generator (4) also transfers the electrical energy needed to operate the heel switch (5) wirelessly. The event signal from the heel switch (5) is modulated in order to achieve a longer operating range.

The invention provides a method for generating an intelligent monitoring system for freezing of gait. The method comprises the steps that three-axis acceleration data is collected, an FOG prediction model is adopted for FOG and non-FOG characteristic recognition and classification according to the collected three-axis acceleration data, and the recognition precision of the FOG prediction model isverified; the verified FOG prediction model is transplanted to a micro-controller. According to the method, for the specific gait disorder disease of freezing of gait, an FOG intelligent recognition and classification algorithm is developed, the individual difference error caused when an acceleration set critical threshold value is judged in the prior art is overcome, and accordingly the FOG recognition accuracy is improved. According to the method, the recognition rate of freezing of gait is effectively increased, and the accuracy, sensitivity and specificity of FOG recognition on patients reach 88.6-95.2%, 83.7-93.1% and 90.2-97% respectively.

A gait management apparatus applies stimulation to a user suffering from a neurological disease (such as Parkinson's Disease) gait dysfunction. Motion sensors are arranged to be worn by a patient, and electrical stimulation electrodes are on the legs for stimulation. A controller receives motion sensing signals, and processes these signals to generate stimulation signals for operation of the electrodes to stimulate limb movement upon detection of a gait abnormality. There may be a user actuator for user actuation of electrical stimulation, and the inputs may be a series of taps. The controller may provide signals to prevent occurrence of freezing of gait when it senses that a patient is walking or has an intention to walk. Also, it may apply stimulation at an intensity level which is insufficient for functional muscle stimulation but sufficiently high to trigger activation of efferent nerves.

The invention provides an abnormal gait detection method based on a long-short-term memory neural network. The method comprises the following steps of data preprocessing, wherein data preprocessing comprises the steps of performing test object category division based on a database, collecting plantar pressure data in the gait process of a subject, dividing data sets according to test objects, and ensuring that data of the same patient only appears in a training set or a test set; and model building based on the long-short-term memory neural network, performing mean value pooling on the output of each LSTM unit, wherein the output of each LSTM unit represents abstract features learned from all input data before the current moment, splicing the abstract features with features at the last moment, sending the spliced abstract features to a full connection layer, finally outputting a probability value by using an activation function, using a Sigmoid function during binary classification, and using a Softmax function during multi-classification; and model training and result evaluation. According to the method, gait disorder can be quantitatively evaluated, and diagnosis assistance is provided for doctors.

The invention discloses a wearable flexible lower limb power-assisted exoskeleton which comprises a flexible garment, an elastic driving device, a Bowden cable driving device, a driving control device, a flexible binding device and a sensing system. The device is used for providing a stable stress anchor point for the device except for the flexible clothes and ensuring the connection stability and the wearing comfort. The elastic driving device is arranged on the front side of a human body and provides buckling assistance for hip joints; the Bowden cable driving device is arranged on the rear side of the thigh and provides assistance for extension of the hip joint; the driving control device is arranged on the back of the flexible garment and used for controlling the whole system and providing driving power. The flexible binding devices are arranged at knee joints of lower limbs of a human body and used for connecting the knee joints; the sensing system is used for recognizing gaits. The hip joint bending and stretching moment is provided for a user in the walking process, the daily walking stability of a person with lower limb dysfunction is improved, and the lower limb walking gait abnormity is corrected and improved.

The invention provides a multi-site closed-loop stimulation feedback system and a multi-site closed-loop stimulation feedback method for gait disorder of Parkinson's disease. The system comprises a signal acquisition module used for acquiring electroencephalogram physiological signals of primary motor cortex and subthalamic nucleus and generating PAC signals; the signal processing module is used for generating a gait disorder probability curve based on waveform indexes of the PAC signal and the electroencephalogram physiological signal, and judging whether a probability value in the gait disorder probability curve in a certain time period exceeds a PAC threshold value or not; the stimulation control module is used for generating a control command for outputting high-frequency stimulation or low-frequency stimulation and controlling the signal acquisition module to continuously acquire stimulated electroencephalogram physiological signals at the primary motor cortex for feedback; the stimulation generation module is used for emitting a high-frequency or low-frequency stimulation signal to an electrode arranged at the subthalamic nucleus based on the control command; wherein the signal processing module and the stimulation control module adjust parameters of high-frequency stimulation or low-frequency stimulation according to the stimulated electroencephalogram physiological signals.

The invention relates to a system (1) characterizing the gait of a user to obtain a value representative of the evolution of the gait of the user. The system comprises a pair of soles (10), i.e. soles(11, 12) constituting the pair of soles (10), each sole comprises an electronic box (100, 101, 102), and each electronic box (100, 101, 102) comprises an inertial platform (110, 111, 112), a data processing module (120 121,122) and a data storage module (130,131,132) and a power supply. The system also comprises a data comparison module (140, 141, 142) configured to compare at least one biomechanical parameter with a reference biomechanical parameter and calculate the value representative of the user gait evolution. The data comparison module is carried by an electronic box or an external terminal, and each electronic box comprises a first communication device.

A system for treatment of gait disorders includes an external device in the form of a pulse generator (4) with an integrated rechargeable battery and a device adapted to be implanted in the human body. The system features an external to the body placed antenna (3) for the inductive link between the external device and the implanted device. This antenna further incorporates an additional secondary coil (24), for inductively charging the battery in the pulse generator. The fixture on the antenna for mounting the antenna on the skin of the person is reused for being received in a charger fixture (20) on the charger, containing the primary coil (22) for the transfer of charging power.

Disclosed is a device which can be used to improve gait disorders by providing a substitute for or compensating the movement of the joints of the ankle and foot occurring during walking, or which canbe used in a base structure of a walking robot. The present invention comprises a foot supporting part, a rear connecting part that is coupled to the heel part of the foot supporting part, and a rearfoot plate that is coupled to the rear connecting part, wherein the rear connecting part comprises a joint, and the axis of the joint is provided to be in line with or behind the load line, with respect to the walking direction, at the time of the heel strike during a gait cycle.

[Problem] Provided is a gait training device allowing those who have lost muscle strength to support the upper bodies with severe gait disorder caused by accidents or operations etc. to perform gait training, producing good rehabilitation effect, and moving in a room without any difficulty. [Solution] The gait training device comprises a seat (1) set at the height allowing a user (R) to sit with his feet on the ground, a support member (2) to support said seat, and omnidirectional mobile members (3) attached to said support member (2).

The invention discloses an electroencephalogram and electromyography correlation analysis method for a fine gait phase. The research on the time-frequency domain coupling relationship of cerebral cortex and lower limb movement related muscles in the fine gait phase period in the walking process is realized by adopting a TFCMI calculation method and analyzing the EEG-EMG time-frequency correlationof seven gait phases in the walking process. Theoretical guidance is provided for the research and development of lower limb intelligent rehabilitation equipment. The EEG-EMG time-frequency correlation is analyzed by adopting the TFCMI method of the time-frequency domain, and the coupling relationship of the EEG-EMG in the time-frequency domain in the walking process is disclosed, so that a more accurate activation mechanism between the EEG-EMG is obtained. The EEG-EMG coupling relation of seven gait phases with a finer gait period is analyzed, so that the more accurate coupling relation of the EEG-EMG in the walking process can be obtained, and proper rehabilitation training plans are customized for different types of gait disorders.

The invention discloses a gait acquisition and neuromuscular electrical stimulation system based on multi-sensor fusion, which belongs to the field of rehabilitation engineering. It includes a myoelectric signal acquisition sensor module, a stimulation module, a wireless transmission module and a host computer module, and the sensor module includes a surface myoelectric sensor, a laser ranging sensor and an inertial sensor. The present invention can carry out real-time wireless collection and transmission of surface electromyographic signals of lower limbs, Euler angle, angular velocity, acceleration and the distance from ankle to ground during walking, and send them to the upper computer module for calculation and processing. The present invention can obtain and reproduce the electrical stimulation mode and parameters of the functional movements of the lower limbs of healthy individuals, and study the control sequence of fine movements; it can also be used for users with gait disorders, and cooperate with ankle-foot orthoses to realize self-optimization by using myoelectricity and kinematics information Control the stimulation program to achieve the purpose of individualized motor function reconstruction. The invention can perform wireless reception and processing of data based on the mobile terminal, which increases portability and practicability.

The invention discloses the application of CCFM16 in the preparation of bacterial agents, food or medicine for relieving autism and absorbing polychlorinated biphenyls. Bifidobacterium bifidum CCFM16 can improve autonomous behavior and exploration in unfamiliar environments caused by autism Behavior, relieve social barriers caused by autism, significantly improve stereotyped behaviors caused by autism, improve autism's ability to recognize new objects, improve the decline in limb coordination caused by nerve damage, and increase the normal body extension rate , Relieve muscle rigidity and posture and gait disorders caused by Parkinson's disease, and effectively adsorb PCBs.

The invention provides an acousto-optic auxiliary gait training device for a Parkinson's disease gait disorder patient, and relates to the technical field of medical apparatuses and instruments, the acousto-optic auxiliary gait training device comprises a mounting support part; a counterweight sliding part is mounted on the mounting supporting part; an adjusting trigger device is mounted in the counterweight sliding part; monitoring devices are fixedly connected to the two sides in the mounting supporting part respectively; four step adjusting devices are connected to the mounting supporting part in a sliding manner; the four step adjusting devices are respectively provided with a step monitoring device; the two sides of the installation supporting part are sleeved with flexible training devices respectively. The training effect of a patient can be effectively improved, the stride size can be flexibly controlled, accurate balance monitoring can be achieved, and potential safety hazards can be effectively reduced; the problems that an existing trainer is not convenient for a patient to use and does not have balance monitoring performance, the patient easily falls down, and the stride of the patient is not convenient to correct are solved.

A method is provided for characterising a gait comprising steps of: receiving a signal measuring the movement of a target subject measured beforehand; comparing (204) at least one section of the measuring signal with a plurality of reference signals, the plurality of reference signals comprising at least one movement signal measured beforehand on a reference subject different from the target subject, each comparison of the measuring signal with a reference signal producing a similarity coefficient representative of a probability of similarity between the compared signals; and selecting (208) at least one local maximum of interest among the similarity coefficients produced, wherein the plurality of reference signals comprises at least one movement signal measured beforehand on a reference subject afflicted with a gait disorder, and at least one movement signal measured beforehand on a healthy reference object.

Provided herein is a system or method for biofeedback for gait training in a subject in need thereof, involving sensors capable of being put on the thigh, shank and heel of the subject, and two separate output displays shows knee flexion data and knee extension data in real-time.

A tipping bar for preventing toe walking and other gait abnormalities is provided. The tipping bar may be integrated to the sole of a footwear, forcing weight on the heel, preventing toe walking.

A gait management apparatus applies stimulation to a user suffering from a neurological disease (such as Parkinson's Disease) gait dysfunction. Motion sensors are arranged to be worn by a patient, and electrical stimulation electrodes are on the legs for stimulation. A controller receives motion sensing signals, and processes these signals to generate stimulation signals for operation of the electrodes to stimulate limb movement upon detection of a gait abnormality. There may be a user actuator for user actuation of electrical stimulation, and the inputs may be a series of taps. The controller may provide signals to prevent occurrence of freezing of gait when it senses that a patient is walking or has an intention to walk. Also, it may apply stimulation at an intensity level which is insufficient for functional muscle stimulation but sufficiently high to trigger activation of efferent nerves.

A determination apparatus acquires a feature amount of a whipping motion of a foot and determines a gait disorder risk on the basis of the feature amount.

A tipping bar for preventing toe walking and other gait abnormalities is provided. The tipping bar may be integrated to the sole of a footwear, forcing weight on the heel, preventing toe walking.

The invention provides a method for generating a frozen gait intelligent monitoring system, comprising: collecting triaxial acceleration data, and using the FOG prediction model to identify and classify FOG and non-FOG features according to the collected triaxial acceleration data, and to predict FOG The recognition accuracy of the model is verified; the verified FOG prediction model is transplanted to the microcontroller. Aiming at the special gait disorder disease of freezing gait, the present invention develops FOG intelligent identification and classification algorithm, which overcomes the individual difference error caused by setting the critical threshold for acceleration in the past, thereby improving the identification of FOG Accuracy. The invention effectively improves the recognition rate of frozen gait, and the accuracy, sensitivity and specificity of patient FOG recognition respectively reach 91.9%±3.3%, 88.4%±4.7%, and 93.6%±3.4%.

The invention discloses a gait rehabilitation training system based on rhythmic visual stimulation. The gait rehabilitation training system comprises a motion data acquisition module, a reference stride frequency test module, a stimulation rhythm generation module, a rhythmic visual stimulation generation module, an instant rhythm generation module and an instant entrainment visual stimulation module. The system can realize gait rehabilitation training in a home environment, and helps patients with gait disorders such as cerebral apoplexy and Parkinson's disease to adjust biological rhythmic activities of the patients through gait rehabilitation training. The invention further discloses a gait rehabilitation training method based on rhythmic visual stimulation.