32 results about "Gait disorders" patented technology

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.

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.

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 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.

A remedy for spinal canal stenosis which comprises a combination of a compound having EP2 agonism with a compound having EP3 agonism. A drug comprising a combination of a compound having EP2 agonism with a compound having EP3 agonism shows an efficacy in a rat gait disorder model induced by compression of cauda equina. Namely, it is efficacious against spinal canal stenosis to use a combination of a compound having EP2 agonism with a compound having EP3 agonism or a compound having both EP2 agonism and EP3 agonism.

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.

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.

This disclosure to methods for treating or preventing particular symptoms and disorders which are associated with lysosomal storage diseases using quinuclidine compounds of formula (I), optionally in combination with enzyme replacement therapy. This includes supranuclear gaze palsies, including horizontal and vertical saccadic gaze palsies, and cognitive deficits or gait disorders, such as in a patient having Gaucher disease or Niemann-Pick disease Type C. Also disclosed is a pharmaceutical composition comprising a quinuclidine compound for use in said methods.