217 results about "Gait analysis" patented technology

The invention is a portable gait analyzer comprising of at least one independent rear foot motion collection unit, at least one independent lower shank motion collection unit, plantar pressure collection unit, at least one processing and display unit, and a soft casing unit. A plurality of accelerometers, rate sensors, force sensor resistors, and pressure sensors provide for the acquisition of acceleration signals, angular velocity signals, foot force signals, and foot pressure signals to be processed. At least one central processing unit, a plurality of memory components, input / output components and ports, telemetry components, calibration components, liquid crystal displays components for the processing and outputting of three dimensional acceleration, angular velocity, tilt, and position. The rearfoot motion collection unit and lower shank motion collection unit interact with the processing and display unit to calculate rear foot kinematic data crucial to identify the motions of pronation and supination. The plantar pressure collection unit interacts with the processing and display unit to calculate plantar pressure data crucial to identify the center of pressure line and excessive and abnormal loads on the sole of the foot. These factors of rear-foot kinematics and plantar pressure lead to gait style identification.

The present invention provides improved methods and systems for diagnosis, prevention, and treatment of a bone related condition such as osteoporosis. The present invention integrates bone mass measurement techniques with various preventive and treatment measures to create a protocol for prevention and treatment of the bone related condition. In one embodiment, a medical practitioner treats bone mass degradation occurring in a patient by measuring a bone characteristic level in at least one of the patient's bones to yield a score, conducting a gait analysis to yield a gait characterization, measuring a bone mass marker concentration in at least one of the patient's body fluids to yield a bone marker level, and prescribing one or more therapies. Optionally, the treatment may include designating a future time to repeat the measurement of a bone characteristic level, the gait analysis, and the measurement of bone marker level.

The invention discloses a three-dimensional human body gait quantitative analysis system and method. The method comprises the following steps of: simultaneously using two inertia measurement nodes on feet, carrying out analyses fusion on the data of the two inertia measurement nodes, measuring a more accurate gait parameter, and obtaining information which can not be measured in a single-foot manner; and firstly storing the collected data in storage units of the measurement nodes in a walking process, and finally transmitting the collected data to an analytical calculation device in a wired or wireless manner after the walking process is ended. The high-speed acquisition of all gait information in the walking process can be realized and no characteristic gait information point is omitted. A foot part binding device of the designed inertia measurement node is adopted, a measuring error brought by fixed position shift of the measurement nodes in the walking process is eliminated, and the identity of fixed positions of the measurement nodes in a walking process is guaranteed through repeated measurement; and a gait analytical calculation program module adopts a moving window searching value method to definition a characteristic point of gait information, and can more exactly extract the gait diagnostic information.

A gait analysis system has:a gait sensor which is to be attached to one foot or both feet of a walking person, and which wirelessly outputs detection data of at least one of an acceleration and an angular velocity;a portable terminal which receives the detection data, and which stores the data for a predetermined time period; anda gait analyzing apparatus which, based on the detection data obtained from the portable terminal, calculates two- or three-dimensional position information and status information of the foot or feet at an arbitrary time.

Provided is a system for monitoring gait. More particularly, the system comprises: one or more pressure sensors; an algorithm which compares the data from the pressure sensor(s) to a stability profile, and provides a feedback value; means for communicating the feedback value; and a power source. Also provided is a method for gait analysis comprising: collecting signals from one or more pressure sensors located in pressure proximity to a foot, generating a test profile; comparing the test profile to a stability profile; generating a feedback signal; and communicating the feedback signal. The system may also comprise one or more accelerometers.

A sensor system for performing gait analysis of a person includes a sensor system that includes a pair of sensor insoles that include a plurality of force sensors, an accelerometer, and a transmitter for transmitting data to a portable electronic device. A monitoring program operably installed on the portable electronic device performs the following steps: receiving a desired cadence; receiving the data from the sensor insoles; determining an actual cadence of the person's footsteps based upon the data received; and comparing the actual cadence with the desired cadence.

The invention discloses a wearable multi-information fusion gait analysis system and a method thereof. The wearable multi-information fusion gait analysis system is characterized by comprising a flexible sensor module, a three-axis acceleration and gyro sensor, a microprocessor, a power supply module, a transmission module, a positioning module, a client side, a cloud server and the like. The flexible sensor is used for measuring the gait data of the bottoms of feet when a user walks, the gait data is sent to the cloud server after being analyzed through the microprocessor, and a gait situation is displayed on a user client side in real time. If the user is under an emergency situation, the guardian of the user can receive alarming information and position the position of the user in real time so as to rescue the user. The wearable multi-information fusion gait analysis system can cause the guardian to know the gait situation of a person under guardianship at any time, and receives the alarming information and the positioning information generated when the person under guardianship moves, so that support and help can be provided for the rehabilitation of a foot patient, the gait monitoring of the aged, walk learning of children and the like.

The invention relates to system and method of walking speed measurement and transmission and aims at providing a pedestrian gait detection-based system and a method of walking speed measurement and transmission. The system comprises an acceleration detection unit comprising a double-spindle acceleration sensor and peripheral circuits, an acceleration processing unit, a gait analysis unit, a speed analysis unit, a wireless communication emission unit, a wireless communication receiving unit and an output terminal. The speed detection system has the advantages of lower cost, convenient use and installation, basically no limitations in use, and better real-time performance and external interfaces in comparison with the prior art. Gait characteristics can be extracted from acceleration data during human movement so as to detect the instantaneous speed, the average speed, the displacement distance, the movement time of and the step number.

A system for gait analysis may include a mobile data recording device configured to record accelerations associated with user motion and a data processing device in communication with the mobile data recording device. The data processing device can be configured to receive acceleration data from the mobile data recording device and process the acceleration data to extract stride data sequences from the acceleration data through use of bounding boxes on one or more points of the acceleration data. Each of the stride data sequences comprising data for a corresponding stride. The bounding boxes may define time and acceleration bounds. The data processing system may further determine one or more stride metrics. According to one embodiment, the data recording device may be a smartphone or other device having an accelerometer with a limited range that is inadequate to capture the full range of accelerations experienced by a runner.

The invention discloses an exoskeleton gait analysis system and method based on multi-sensor fusion. The exoskeleton gait analysis system based on multi-sensor fusion comprises outer bones, attitude and heading devices, intelligent shoes, encoders and microprocessors. The outer bones include hip joint parts, thigh mechanical bones, knee joint parts, shank mechanical bones and ankle joint parts. The microprocessors are used for analyzing and processing motion state data generated in the walking process of the outer bones. The exoskeleton gait analysis method based on multi-sensor fusion includes the steps that outer bone motion state data collected by the attitude and heading devices, the intelligent shoes and encoders are subjected to denoising and analysis processing and then transmitted to an upper computer, the upper computer adjusts walking gait and speed according to all outer bone data information, and stability and safety during walking of the outer bones are ensured. The system is simple and light, data collection is efficient, control responding is sensitive, and wearing comfort of the outer bones and safety guarantee ability of a wearer in the walking process are greatly improved.

A triaxial acceleration sensor and a triaxial angular rate sensor are mounted on each of the lower limb portions on both sides of one joint among joints constituting a part of one lower limb of a subject. The acceleration and angular rate of each lower limb portion are measured by the triaxial acceleration sensor and triaxial angular rate sensor while the subject is walking. The orientations of each lower limb portion while walking are calculated on the basis of the measured acceleration and angular rate. A three-dimensional model including the motion trajectory of one joint is constructed by linking the lower limb portions in the calculated orientation to each other. The angle formed by the acceleration vector of one joint when the heel strikes the ground to the movement trajectory in the sagittal plane is calculated as a gait parameter.

The invention discloses a multiparameter biological information testing platform and a testing method, which adopts a movement human body as a testing object, acquires kinematic parameters, macroscopic action force of a human body and a supporting surface, distribution characteristics of sole pressure, bioelectric information of muscle groups of the human body and the like of all sections synchronously, monitors dynamic change characteristics of cardiopulmonary functions of the human body and provides theory and platform support for relevant studies and applications. The multiparameter biological information testing platform comprises a biological testing channel and integrated analysis software, wherein the testing channel comprises a synchronous clock server, a gait tactile information testing unit, a surface myoelectric acquisition unit, a high-speed image acquisition unit, an acceleration / angle testing unit and a heart rate / pulse testing unit. Under the uniform control of a center computer, all subfunction instruments are interconnected by an Ethernet interface, and realize accurate synchronization of time domains of all parameters by a clock synchronous server to form a comprehensive testing platform; each unit equipment also can be equipped with self-analysis software and a man-machine interface to form an independent instrument. The invention provides a multiparameter biological information acquiring integrated testing device and a testing method for the aspects of gait analysis, sports science research, movement function and health evaluation, basic tests and the like.

The invention discloses a gait analysis system and method. The gait analysis system comprises an intelligent terminal and two signal collection systems, and each signal collection system comprises a carrier, a pressure sensor, an acceleration sensor, an angular velocity sensor, an MCU and a battery. The MCUs are in wireless connection with the intelligent terminal through Bluetooth communication. The analysis method comprises the steps that firstly, collected pressure signals are filtered twice; secondly, initial grounding signal detection is conducted, an initial pressure threshold Th is obtained, then middle threshold detection is conducted, and finally a stand ending threshold is judged; thirdly, a rectangular Cartesian coordinate system is built; fourthly, the point location (x, y) of the center of a current pressure is solved; fifthly, a half sole varus-valgus coefficient and a heel varus-valgus coefficient are calculated; sixthly, the symmetry SI is judged; seventhly, the coefficient of variance CVt is judged; eighthly, in-toe gaits or out-toe gaits are judged; ninthly, the foot arch index AI is judged. By means of the system and method, gait information can be more comprehensively and accurately analyzed out.

The invention discloses a corrective shoe, a corrective shoe insole and a correcting method.The corrective shoe comprises a shoe sole, the corrective shoe insole and a shoe vamp, wherein the shop vamp and the corrective shoe insole are connected into a whole.The shoe sole extends forwards from the inner side position of a shoe heel to the two-third part of the big toe and then is narrowed and sharpened.The front end of the shoe heel is provided with a corrector for fixing toes.The corrective shoe insole comprises a bottom layer, a soft cushion layer, a circuit board layer, a sweat absorption layer and a shoe insole outer layer.The foot arch position of the shoe insole outer layer is provided with a protruding soft cushion.The front end of the shoe insole outer layer is provided with a detachable toe corrector corresponding to the toes of the foot of the human body.The shoe insole outer layer is further provided with a plurality of infrared massaging protrusion blocks corresponding to foot acupuncture points of the human body.A foot correction monitoring system and a gait analysis system are integrated in the circuit board layer.The corrective shoe has the functions of removing sweat and protecting an internal circuit board, monitors the static form and walking form of the foot of a user, is connected with a mobile terminal, and provides foot correction suggestions and early warning.

The invention belongs to the technical field of medical equipment, and particularly relates to a wearable lower limb rehabilitation evaluating system. The system comprises a lower limb signal collecting system, an upper computer and an application software system thereof, wherein the lower limb signal collecting system is used for collecting and transmitting rehabilitation patient lower limb motion signals, electromyographic signals and plantar pressure signals and comprises a bandage module, a signal collecting module, a signal processing module, a signal transmitting module and a power supply module; the signal collecting module is detachably connected to the bandage module, and the signal processing module, the signal transmitting module and the power supply module are installed on thebandage module, so that normal living of the rehabilitation patient is not affected; a rehabilitation training software system utilizes obtained data to work out the step pitch, gait analysis, ankle joint activity, myoelectricity, equilibrium state, plantar pressure distribution, knee joint activity, muscle force evaluation of relative muscles and other information, more professional and more comprehensive evaluation data is provided for a therapist, and meanwhile more professional guidance is provided for the patient.

The invention relates to a gait classification method based on multi-sensor information fusion. The gait classification method includes the following steps that (1), plantar pressure information and ankle angle information in the walking process of multiple patients are collected; (2) according to the obtained plantar pressure information, gait stages of the patients are analyzed, the gait stages are divided into the stages of touching the ground with the feet and the stages of swinging the legs, and one gait cycle includes one stage of touching the ground with one foot and one stage of swinging the leg of the same foot of each patient; (3) a characteristic value of each gait cycle is set, so that gait characteristics of all the patients in the walking process are represented; (4), gait cluster analysis is performed on all the characteristic values of all the gait cycles of all the patients through a spectral clustering algorithm, so that the patients with the different gait characteristics are divided into different classifications. The patients are objectively classified, so that reference is provided for rehabilitation training and treatment of the patients, and a doctor can adopt different treatment modes and training intensities for the patients of the different classifications conveniently. The gait classification method can be widely used in the fields of gait analysis and medical rehabilitation.

The invention discloses a movable wearable lower limb exoskeleton rehabilitation robot which comprises an exoskeleton bracket and a lower limb exoskeleton, wherein the exoskeleton bracket is connected with the lower limb exoskeleton; the exoskeleton bracket is used for fixing the movable wearable lower limb exoskeleton rehabilitation robot with a patient; and the lower limb exoskeleton is used for the patient to walk. The rehabilitation robot disclosed by the invention can perform rehabilitation training of the lower limb of the patient. Since the rehabilitation robot is movable, the exoskeleton can move along with the walking of the patient; and meanwhile, the rehabilitation robot provides protection to perform the most important gait analysis and rehabilitation training for the lower limb rehabilitation. The rehabilitation robot disclosed by the invention is an active rehabilitation robot for driving the joint of the patient by use of a motor; and the rehabilitation robot drives each joint freedom degree of the wearer, controllably helps the patient to finish specific movement of the specific joint freedom degree, and actively provides assistance and traction to the movement of the patient.

Gait analysis systems are provided with body support systems for user's self-adjustment of body weight force when ambulating with the body support systems. The gait analysis systems with the body support systems can be used with a treadmill or over a fixed surface for gait training and analysis with the ability to adjust the user's body weight force during the collection of gait data. Gait data for analysis is collected by an array of sensors mounted on the body support systems in various combinations for sensing gait movement, video imaging, heel strike and toe off states, video processing, feet pressure maps and electromyography.

The invention discloses a scene interaction rehabilitation training method based on Kinect vision gait analysis. The method includes a gait measuring method based on Kinect binocular vision and a virtual scene interaction method. The gait measuring method based on Kinect binocular vision mainly includes: extracting the space positions of the hip central joints, hip joints, lower limb joint points and angle joints of a user through a Kinect binocular vision camera, and calculating the position of each joint point relative to the required reference node so as to realize gait information measuring. The virtual scene interaction control method mainly includes: by a computer, controlling a character in the virtual scene to perform the same action according to gait information extracted by through Kinect binocular vision and the relative position of each lower limb joint point, and according the user can interact with the character in the virtual scene, and fun is brought to rehabilitation training.

The invention belongs to the technical field of machines, and provides a foot applied force measuring device for a lower limb assistance system, wherein the foot applied force measuring device is convenient to wear, does not impede normal walking and running of a user, and protects the joints of the users against injuries. According to the foot physiological structure of a human body, the freedom degree of the joints is similar to that of the joints of the feet of the human body, and the foot applied force measuring device can be in fit with movements of the human body. According to the foot applied force distribution, pressure sensors are distributed, and force transmission structures are arranged. The sensors convert pressure signals into electric signals, the electric signals are transmitted to a signal processing system through a cable, and gait information is obtained through calculation, and sent to the outer world through a bus. Therefore, the foot applied force measuring device has the better man-machine suitability, meets the requirement of the lower limb assistance system and a similar system for foot applied force measuring analysis and load bearing, integrates gait analysis functions, does not influence the gait movements of the user, protects the user against injuries of deformation movements, and is accurate in force measurement, reliable in bearing, and wide in application prospect in similar assistance systems.

A method for detecting the moving trace of human body includes such steps as sticking the color markers at the positions on human body, walking on the ground while taking the images of walking procedure by color camera, transmitting the images to computer, recognizing and tracking the markers by program, and data analyzing.

A wearable lower limb movement correcting system based on cloud detection comprises a lower limb movement state acquiring module, a data transmission module, a movement state information visualizationand three-dimensional human body posture reappearance module arranged on a mobile terminal and a data processing module including a cloud platform, wherein the lower limb movement state acquiring module is connected with the data transmission module through a bus and transmits sensor signals, the data transmission module receives the sensor signals, sorts, integrates and packs formats, then is connected with the movement state information visualization and three-dimensional human body posture reappearance module in a wireless way and transmits movement postures and muscle force state data, the movement state information visualization and three-dimensional human body posture reappearance module transmits the data to a cloud platform through a network in real time so as to perform big datatraining and storage based on a database, and the data processing module transmits trained and processed three-dimensional human body posture and gait analysis data back to the mobile terminal througha wireless network so as to display action correcting information.

The invention discloses an auxiliary gait analyzing method based on single-visual computer, which is characterized by the following: adding auxiliary marker at joint part to solve self-barrier problem in the moving course; utilizing single-visual camera to shoot real-time walking image of detector; processing the image; recognizing joint marking point or auxiliary marker; obtaining the moving state according to the joint of detector if recognizing; otherwise, obtaining the moving state according to the identified auxiliary marker and relative relationship of marker and joint of detector; calculating a series of moving parameter according to moving state of detector.

The invention provides biped walking parameter measurement and belongs to the technical field of robots. A biped walking parameter measuring apparatus is provided and comprises a zero moment point measuring system, a foot contour measuring system and a walking parameter calculating system. A biped walking parameter measuring method provided can accurately and effectively measure biped walking parameters including stand state parameter before walking, step, step period, zero moment point track, and the contours of feet contacting the ground. The method for measuring biped walking parameters of a human being is of great importance to analysis of walking gaits of the human being, thereby providing important basis for planning track of a biped robot. The method is used for measuring the walking parameters of a biped robot, and feedback parameters of biped robot walking gaits, walking track on-line adjusting, and enclosed control of a host computer and each joint of leg portions are provided. The method is of great significance to stable walking of a biped robot.

Provided is a system for monitoring gait. More particularly, the system comprises: one or more pressure sensors; an algorithm which compares the data from the pressure sensor(s) to a stability profile, and provides a feedback value; means for communicating the feedback value; and a power source. Also provided is a method for gait analysis comprising: collecting signals from one or more pressure sensors located in pressure proximity to a foot, generating a test profile; comparing the test profile to a stability profile; generating a feedback signal; and communicating the feedback signal. The system may also comprise one or more accelerometers.

The invention provides a gait analysis system aiming at small animals (such as mice, cats, chickens, and the like). The gait analysis system comprises a positioning and pressure measuring device, a three-dimensional force measuring device, a track device, a signal processing part and a data analysis and display part, wherein the positioning and pressure measuring device is used for collecting footmarks and contact pressures of a test object in real time; the three-dimensional force measuring device is used for measuring parameters of three-dimensional force, and the like of the test object in still and walking processes; the track device is used for inducing and controlling creeping actions of the test object; the signal processing part is used for carrying out amplification, filtering, analog digital conversion, and the like on caught original signals; and the data analysis and display part is used for further calculating gait parameters of step lengths, step frequencies, center-of-gravity shifts, and the like according to measured data and displaying results. The gait analysis system can quantitatively evaluate the gait of the test object, comprising the gait parameters of the step frequencies, the step lengths, distances among limbs, the pressure, the center-of-gravity shift, and the like, and can measure the gait parameters of the test object in a state of a slope or touchdown only by posterior limbs through the preset track.

The invention discloses a foot-to-ground acting force-based gait feature extraction method and a foot-to-ground acting force-based gait identification system. The system comprises a gait data acquisition module and a gait data processing and identification module, wherein the gait data acquisition module acquires the foot-to-ground acting force during walking in a hidden and non-intrusive way; and the gait data processing and identification module extracts gait features and performs gait identification from the foot-to-ground acting force. The gait feature extraction method comprises the following steps of: denoising the foot-to-ground acting force by a wavelet transform hard threshold method; detecting a key point and calculating gait time-domain features by a first-order difference algorithm; and representing the gait frequency-domain features by adopting a wavelet decomposition coefficient after performing waveform alignment on the foot-to-ground acting force. When the system is used for identifying, an optimal gait feature set is selected by a fuzzy C-means algorithm; and the classification or the identification can be performed on the gait based on a support vector machine. The gait information acquired by the method and the system is natural, true and not easy to simulate; the extracted gait features are full and accurate; and the requirements on gait analysis, classification and long-distance gait identification can be met better.

The invention discloses a pneumatic body weight support monitoring training system and a pneumatic body weight support monitoring training method. The pneumatic body weight support monitoring training system comprises a supporting frame, an airbag, an inflating subsystem, a treadmill, a treadmill control subsystem, a gait analyzing and gait correcting subsystem, and a human-computer interaction computer, wherein the inlet of the airbag is connected to the rear part of the supporting frame; the treadmill is positioned in the airbag; a pressure sensor is arranged on the lower surface of the treadmill and is used for measuring the pressure on the treadmill; a computer transmits a control command to the inflating subsystem and the treadmill control subsystem, and transmits a data command with the gait analyzing and gait correcting subsystem. According to the body weight support training system disclosed by the invention, the upper limbs of a patient are not restricted; the independent training participating consciousness of a sick child can be improved remarkably; rehabilitation assessment accompanies the overall rehabilitation process, so that the rehabilitation is based on evidence. Moreover, the structure is safe and simple.

Apparatus for transcutaneous electrical nerve stimulation in a user, the apparatus comprising: a housing; an application unit for providing mechanical coupling between the housing and the user's body; a stimulation unit mounted to the housing for electrically stimulating at least one nerve with at least one stimulation pulse during a therapy session; and a determination unit mounted to the housing and configured to perform at least one of: (i) determining an activity level of the user; (ii) determining a gait characteristic of the user; (iii) determining a balance function of the user; and (iv) determining apparatus placement position on the user.