403 results about "Stroke patient" patented technology

A neuro-stimulation system employs a includes a stimulator which may include electrode devices and / or vibration elements. A controller may be employed to drive the stimulating elements with an electrical signal. In response to the electrical signal, the stimulating elements deliver electrical and / or mechanical stimulation to the body part. The stimulation may be an aperiodic stimulation and / or may be a subthreshold stimulation. In one embodiment, the stimulator is disposable and the processor determines usage of the stimulator and ensures that the stimulator is limited to a certain amount of use. Neuro-stimulation systems may be applied to sensory cells of body parts during movement of the body parts to induce neuroplastic changes. Such movement may involve a variety of therapeutic applications, e.g. in stroke patient therapy.

Cells derived from postpartum tissue such as the umbilical cord and placenta, and methods for their use to regenerate, repair, and improve neural tissue, and to improve behavior and neurological function in stroke patients are disclosed.

The invention discloses an exoskeleton rehabilitation robot for rehabilitation of a lower limb walking function and a control system and method thereof. The robot comprises a backrest, a hip joint power source, a hip joint component, a waist component, a thigh bar component, a knee joint power source, a knee joint component, a shank bar component, an ankle joint component and a foot pedal. According to the lower limb exoskeleton rehabilitation robot, a driving scheme is designed by utilizing a bionics principle, so that the initiative degree of freedom of the ankle joint is increased; through initiatively pulling the heel tendon muscles of the patients, the rehabilitation speed of the ankle joint function is improved; the waist component, a connection rod mechanism and the foot pedal adopt a carbon fiber composite material, so that the structure weights and volumes are lightened while the strength is kept; and a non-polar adjustable function is set for the waist width, thigh length and shank length, and flexible bandages are equipped, so that the wearing comfort level requirement of the users is satisfied to the greatest extent. The robot disclosed by the invention not only can be used as a tool for riding instead of walk for the patients with walking disability, but also can help the stroke patients to obtain walking ability again through initiative training.

The invention discloses an EMG controlled air-operated soft body rehabilitative mechanical hand. The mechanical hand can help a stroke patient or a patient suffering from hand disability conduct hand rehabilitation activity. Different from a traditional rigid body type mechanical hand, every finger of the soft body mechanical hand is a hollow cavity structure composed of soft materials (super-elastic materials like silicone rubber and the like), a fiber and a limit strained layer is arranged on the periphery, soft body fingers are designed by combining structures of bending distortion, extending distortion, distortion, torsional and extending distortion, and motion distortion is achieved through air-operated driving. The EMG controlled air-operated soft body rehabilitative mechanical hand can achieve multi-section type bending similar to human's fingers, drives bending and stretching of stroke fingers, and restores a patient's athletic ability. The air-operated soft body rehabilitative mechanical hand has the advantages of low rigidity, high safety, high comfort, low weight, low noise and the like, has more remarkable superiority compared with current traditional mechanical rigid body type rehabilitative hand, and has very wide application prospect in the field of rehabilitation.

Provided are a stroke patient rehabilitation training system and method based on brain myoelectricity and a virtual scene. Control over the virtual rehabilitation scene is achieved through myoelectric signals, and rehabilitation training intensity is adjusted in a self-adaptation mode with a brain myoelectricity fatigue index combined. The design of the virtual rehabilitation scene is completed with the needs of stroke patient rehabilitation training and the advice of a rehabilitation physician combined, the brain fatigue index is provided, and quantitative evaluation on brain region fatigue is achieved. The surface myoelectric signal features under different motion modes of an arm are extracted, the motion intention of a patient is obtained, and control over the virtual rehabilitation scene is achieved. The muscle fatigue and brain fatigue index comprehensive features are extracted, the fatigue state of a rehabilitation patient is obtained, self-adaptation rehabilitation training scene adjusting is achieved, rehabilitation training intensity is relieved or enhanced, and secondary damage caused by improper training is avoided. The system and method have the advantages of being high in safety, high in intelligence and scientific in training, and damage cannot happen easily.

A method and apparatus for evaluating acute stroke patients and for determining whether a stroke patient will benefit from the use of thrombolysis therapy includes obtaining measurements of the cerebral blood flow and cerebral blood volume of the brain of a stroke patient, determining ischemic areas of the brain where the ischemic areas comprise the measurements of cerebral blood flow which are less than a first value and creating a penumbra-infarct map of the ischemic areas of the brain using the measurements. The infarct area corresponds to the area of the brain where cerebral blood volume is less than a second value. The penumbra area corresponds to the area of the brain where cerebral blood volume is greater than this second value. The method also includes determining a ratio of penumbra size to the total of penumbra size and infarct size. When the ratio is greater than a predetermined value, the stroke patient is a candidate for thrombolysis therapy.

The invention relates to an electroencephalographic and electromyographic information automatic intention recognition and upper limb intelligent control method and system, which are used for rehabilitation treatment of the upper limb of a stroke patient, an electroencephalographic and surface electromyographic signal collector collects and processes the electroencephalographic and surface electromyographic signals of the patient in real time, a mixed kernel function formed by weighting a polynomial kernel function and an RBF kernel function weights is used to perform fitting and prediction, soas to more accurately identify and monitor the motion intention of the patient, and judge the corresponding degree of rehabilitation, according to which a corresponding rehabilitation training strategy is adopted. When the rehabilitation degree of the upper limb of the stroke patient is low, passive training control is adopted. When the rehabilitation degree of the upper limb of the stroke patient is high, active, assisted and resistive control modes are adopted. The hybrid kernel function support vector machine model provided by the invention has better learning ability and generalization performance, high prediction accuracy and good control performance, and the prediction result meets the index requirements of a rehabilitation robot for stroke patients.

The invention discloses an interactive gait training and evaluation system based on multi-source information fusion for stroke patients. The interactive gait training and evaluation system structurally comprises a pose acquisition module, a plantar pressure acquisition module, a fatigue information acquisition module, a wireless communication module, a data analysis and processing module, an intelligent cloud platform, an AR (augmented reality) helmet and a mobile terminal. The system aims at stroke patients with certain walking ability and can intelligently provide the patients with high-immersion interactive rehabilitation training game on the basis of the AR technology, and the gait rehabilitation training effect on the patients can be improved effectively; multi-dimensional gait information during rehabilitation training of the patients is acquired by a gait acquisition module and processed by the data analysis and processing module, processed information and data are transmitted to the mobile terminal through the wireless communication module, and gait evaluation results can be fed back to doctors and the patients in real time in a highly visualized manner; safety of the patients in the rehabilitation training process is guaranteed on the basis of muscle fatigue monitoring; the intelligent cloud platform can realize automatic tracking, evaluation and push of gait diseases.

Stimulation of the facial nerve system (e.g., electrically, electromagnetically, etc.) in stroke patients will cause dilation of occluded arteries and dilation of surrounding arteries, allowing for blood flow to circumvent the obstruction and reach previously-deprived tissue. The device approaches the facial nerve and its branches in the vicinity of the ear. In use, the device can be inserted into the ear canal or placed in proximity to the ear in order to stimulate the facial nerve system without puncturing the tympanic membrane (e.g., using an electromagnetic field). The device can also be advanced into the middle ear through a puncture created in the tympanic membrane. Branches of the facial nerve in the middle ear can then be stimulated directly (e.g., by application of electrical current). The device can be used in the emergency treatment of acute stroke or as chronically-implanted / inserted variations for long-term maintenance of blood flow to the brain and stroke prevention

The invention discloses a wearable hand rehabilitation training device which can achieve rehabilitation training of human body hands. The wearable hand rehabilitation training device includes: a glove body; the glove body includes a set of bionic muscle strips; each of the bionic muscle strips is internally provided with a plurality of inflatable airbags which are mutually independent; the bionic muscle strips can drive a human body hand to achieved multi-freedom motion such as bending, stretching, retracting inward, expanding outward, and rotating. The wearable hand rehabilitation training device is convenient and comfortable in wearing, can achieve all-round training of fingers, meet disease demands of different patients, and can allow hand functional rehabilitation training of stroked patients.

The invention provides an exoskeleton hand rehabilitation training device for hand rehabilitation training of a stroke patient. The exoskeleton hand rehabilitation training device mainly comprises a finger driving device, a hand supporting assembly, a wrist supporting assembly and a motor driving device. The finger driving device is installed on the hand supporting assembly. The hand supporting assembly and the motor driving device are installed on the wrist supporting assembly. Power of a motor is transmitted to the finger driving device through a steel wire flexible shaft assembly, finger joints can move through gear transmission, the four fingers can be driven independently, the structure is simple and easy to obtain, and due to the rear motor driving device and the steel wire flexible shaft driving mode, the weight of the finger exoskeleton structure is lowered. Due to the fact that an arc track structure is arranged on the finger driving device, the rotation center of the exoskeleton device and the rotation center of the finger joints are kept consistent, and the finger driving device can adjust the length of the exoskeleton finger and replace a finger fixing ring according to the lengths and radiuses of fingers of the patient.

Methods and apparatus for assessing the condition of and treating patients for stroke during the delivery of continuous positive airway pressure (CPAP) are disclosed. By determining central and obstructive apnea occurrences or the percentile of pressure delivered to the patient from patient airflow, stroke indicators may be calculated and analyzed to provide information on the type of stroke a patient has suffered and the degree of a patient's neuro-recovery. The apparatus may be programmed with a particular protocol intended to identify between alternative forms of CPAP treatment appropriate for the patient based upon an assessment of the patient's condition. The device can select and recommend between the various treatment forms, identify billing reimbursement codes and generate data to track patient response to stroke treatments.

The present invention relates to a method for the treatment of cerebral ischaemia and a drug for the treatment of cerebral ischaemia in particular in humans, as occurs for example in the case of stroke patients. It was found surprisingly that peripheral administering of erythropoietin to the cerebral tissue affected by the ischaemia has a distinctly protective effect. Erythropoietin has the effect thereby that the region of the cerebral tissue which is damaged permanently, in particular in the penumbra, is dramatically reduced relative to conventional measures in the case of cerebral ischaemia without erythropoietin administration.

The invention discloses an omni-mobile balance capacity assessing and training system of stroke patients. The omni-mobile balance capacity assessing and training system structurally comprises a fixingdevice, a safe device, a moving device, a data collecting device, a data processing and displaying device and a visual interference device; on the basis of multi-mode signal collecting and processingand by combining friendly human-computer interaction between voice prompt and the tested persons, a human body balance capacity assessing virtual task based on the Unity 3D design is completed by thestroke patients, information such as age, gender, stature, weight, pressure center path, heart rate, blood pressure, electromyographic signal and joint angle of the stroke patients are obtained accurately, and balance capacity assessing results of the stroke patients are comprehensively given; the system can further automatically formulate a corresponding training scheme according to the assessing results, and balance capacity training of the stroke patients is achieved by combining a balance capacity training game in VR glasses; and the omni-mobile balance capacity assessing and training system is simple in structure, easy and convenient to operate, capable of moving omni-directionally and high in reliability, and has good promotional value.

The invention discloses a convolutional neural network method based on a parallel multi-scale time convolution kernel, and mainly solves the problems of low detection accuracy and difficulty in effectively detecting imaginary movement of a user in the prior art. According to the implementation scheme, the method comprises the following steps: collecting imaginary motion electroencephalogram data,preprocessing the imaginary motion electroencephalogram data, and making a data set by using the preprocessed electroencephalogram data; constructing a convolutional neural network, training the convolutional neural network by using the training set and the verification set, testing the convolutional neural network by using the test set, and performing fine tuning on the tested convolutional neural network by using the electroencephalogram data of the testee to obtain a final convolutional neural network suitable for the testee to perform an online experiment; and obtaining an online imagination motion electroencephalogram signal of the testee in real time, and sending the online imagination motion electroencephalogram signal to the final convolutional neural network to obtain a real-timeclassification result. The method can effectively detect the imaginary movement of the user, improves the classification accuracy of the imaginary movement electroencephalogram signals, can be used for medical service, and serves as an auxiliary tool to participate in rehabilitation treatment of stroke patients.

Methods and apparatus for assessing the condition of and treating patients for stroke during the delivery of continuous positive airway pressure (CPAP) are disclosed. By determining central and obstructive apnea occurrences or the percentile of pressure delivered to the patient from patient airflow, stroke indicators may be calculated and analyzed to provide information on the type of stroke a patient has suffered and the degree of a patient's neuro-recovery. The apparatus may be programmed with a particular protocol intended to identify between alternative forms of CPAP treatment appropriate for the patient based upon an assessment of the patient's condition. The device can select and recommend between the various treatment forms, identify billing reimbursement codes and generate data to track patient response to stroke treatments.

A neuro-stimulation system employs a includes a stimulator which may include electrode devices and / or vibration elements. A controller may be employed to drive the stimulating elements with an electrical signal. In response to the electrical signal, the stimulating elements deliver electrical and / or mechanical stimulation to the body part. The stimulation may be an aperiodic stimulation and / or may be a subthreshold stimulation. In one embodiment, the stimulator is disposable and the processor determines usage of the stimulator and ensures that the stimulator is limited to a certain amount of use. Neuro-stimulation systems may be applied to sensory cells of body parts during movement of the body parts to induce neuroplastic changes. Such movement may involve a variety of therapeutic applications, e.g. in stroke patient therapy.

The invention relates to a rehabilitation training system suitable for stroke patients or patients with upper limb movement obstacles. The rehabilitation training system comprises a wearable mechanism arm and a control driving sub-system, wherein the wearable mechanism arm is formed by a mechanical upper arm and a mechanism lower arm; the mechanical upper arm is put on the upper arm of an injured limb to provide supporting, installing and fixing functions; the mechanical lower arm is put on the front arm of the patient limb; and the mechanical upper arm controls movements of the mechanical lower arm via the control driving sub-system. The rehabilitation training system is characterized by low rehabilitation training cost, and easy carrying; rehabilitation medical cost can be greatly reduced and can be widely applied to families, rehabilitation centers and hospitals; and the rehabilitation training system has wide application prospect.

The invention discloses a gripping function evaluating and training system. The gripping function evaluating and training system comprises a host interaction module, a signal acquisition module, a signal storage module and a host control module, wherein the host interaction module is used for guiding a user to adjust gripping force and muscle contraction conditions in real time to fulfill a virtual task; the signal acquisition module is used for acquiring mechanical signals and electromyographic signals of the upper limbs of the user; the signal storage module is used for receiving and storing the mechanical signals and the electromyographic signals of the signal acquisition module, and storing characteristic parameters; the host control module is connected with the host interaction module and the signal storage module respectively, and is used for computing and processing the mechanical signals and the electromyographic signals transmitted by the signal acquisition module to obtain the characteristic parameters, controlling a virtual scene to perform corresponding game operation so as to train the motion control function through the characteristic parameters, and finally transmitting the characteristic parameters to the signal storage module. The gripping function evaluating and training system performs human-computer interaction by utilizing multiple parameters such as the electromyographic signals and the mechanical signals, and is used for training and evaluating the hand function of a stroke patient, so that the hand motion function of the patient is improved.

A rehabilitation training device with anti-convulsant and anti-thrombotic functions for stroke patients comprises a bed frame, a supporting plate and a control mechanism, wherein the supporting plate consists of a fixed part and a rotating part which are hinged to each other; a head and neck support is arranged at one end of the supporting plate; an electrode plate capable of releasing stimulation pulses is arranged on the outer surface of the head and neck support; and the rotating part can be pushed upwards or return downwards. A push-and-pull rod II is arranged at the tail end of the fixed part, and front-back swinging training of a front section of a sole of a patient can be realized. A forearm fixing plate and a shank fixing plate are arranged on the supporting plate, electrode plates are distributed on the surface of the forearm fixing plate and the surface of the shank fixing plate, and the forearm fixing plate and the shank fixing plate can drive the upper limbs or lower limbs of the patient to finish left-right swinging and front-back flexion and extension movements. By the rehabilitation training device, sitting-up and lying-down training, continuous transformation of functional positions of upper affected limbs and lower affected limbs, anti-convulsant training of front-back swinging of soles of both feet and pulse massaging stimulation of the stroke patient can be implemented automatically, muscle spasm and atrophy of the bedridden stroke patient are avoided effectively, and rapid recovery of the stroke patient is promoted.

A balloon suction catheter may be used to remove clots and increase blood flow to obstructed vessels such as a cerebral artery in a stroke patient. The catheter may be used to apply suction on the clot while providing flow arrest, embolic protection, and optionally flow reversal. The same catheter may also be used to provide for a flow modulation procedure known as post-conditioning to potentially reduce any damage from the sudden reintroduction of blood flow reperfusion injury.

The present invention relates to systems and methods for preparing and completing surgical and medical procedures. In particular, the invention relates to kits for improving preparation and completion time for a medical or surgical procedure in which the kit includes modularized compartments containing sterilized medical or surgical equipment and wherein the medical or surgical equipment is organized and / or ordered within the kit to generally correspond to the sequence of steps of the medical or surgical procedure. The kit is particularly applicable to recanalization procedures for stroke patients as well as revascularization procedures for acute myocardial infarction patients where a kit enables faster preparation and completion of these procedures.

The invention relates to a drug preparation and a preparation method thereof, in particular to a compound Alpha-ketonic acid chewable tablet used for curing chronic renal failure, and a preparation method thereof. The compound Alpha-ketonic acid chewable tablet comprises the following components: Alpha-ketophenylalanine calcium, Alpha-hydroxymethionine calcium, Alpha-ketoleucine calcium, Alpha-ketoisoleucine calcium, Alpha-ketovaline calcium, tryptophan, histidine, tyrosine, threonine, lysine, acetate, a filling agent, a bonding agent, a taste-masking agent, a lubricant and a coating agent. The compound Alpha-ketonic acid chewable tablet not only widens the dosage form range of the compound Alpha-ketonic acid chewable tablets, but also has the advantages of having good dispersing state, short disintegration time, fast drug dissolution, rapid absorption, high biological availability and convenient taking, being capable of being swallowed, chewed and sucked and being especially suitable for old people, stroke patients, patients with special diseases and patients having swallowing difficulty.

A segmentation / prediction method is described for differentiating between infarct, penumbra and healthy regions in a tomographic (e.g. MRI or CT) image dataset of the brain of a stroke patient under examination. The method comprises deriving (7, 11) a multidimensional set of feature vectors from a plurality of baseline modalities, where the modalities comprising both structural and functional modalities. For each volume element of image dataset, an n-dimensional feature vector is extracted (8, 12), such that it represents both structural and functional modalities of the volume element. A classification (13) is performed on the volume element and the classification is used to inform the segmentation (14) in order to label the volume element as belonging to healthy tissue, penumbra tissue, or infarct tissue. The classification operation (13) uses a learning-based classifier, trained using pre-treatment image datasets comprising a plurality of second hypoxic regions, the second hypoxic regions being of the brains of previous stroke patients. In a second embodiment, follow-up (post-treatment) image datasets are used for training the classifier.

The invention discloses a flexible rehabilitation training glove for stroke patients, which comprises a flexible retractable finger traction component and a driving component, and there are five flexible retractable finger traction components arranged in a hand shape. All flexible retractable finger traction components are connected with the driving component, and are stretched under the drive of the driving component; all flexible retractable finger traction components are provided with finger band and / or finger stall. According to the flexible rehabilitation training glove, stroke patients can carry out rehabilitation training for hands, stimulate the reestablishment of neural pathways, prevent the adhesion of soft tissue, prevent muscle atrophy, and avoid the ossification of hand tissue due to calcification, so as to promote the rehabilitation of stroke.

The present invention relates to a method for prognosis of an outcome or assessing the risk of a patient having suffered a stroke or a transient ischemic attack, comprising the determination of the level of at least one marker peptide in said sample said marker peptide selected from the group comprising ANP, AVP, ADM, ET-1, troponin, CRP, calcitonin and hGH or fragments thereof or its precursor or fragments thereof and attributing the level of said at least one marker peptides its precursor or fragments thereof with the prognosis of an outcome or assessing the risk for said patient.

The invention discloses an intelligent body turning mattress which comprises an upper mattress and a lower mattress. The upper mattress comprises a rigid mattress and a pressure sensor array, wherein the middle portion of the rigid mattress is provided with a hinge structure, and the pressure sensor array is embedded into the rigid mattress and used for sensing the pressure of the contact portion of the rigid mattress with a patient. The lower mattress comprises an airbag array, an air pump, a control and processing module and a power supply module, wherein the airbag array is uniformly distributed on the lower portion of the rigid mattress, the output end of the air pump is connected with the airbag array, the air pump is used for supplying air to the airbag array, the input end of the control and processing module is connected with the pressure sensor array and the output end is connected with the air pump, the control processing module is used for receiving data acquired by the pressure sensor array in real time and controlling the pump for working, and the power supply module is used for powering the pressure sensor array, the control and processing module and the air pump. The intelligent body turning mattress is simple in structure, inexpensive, applicable to caring for general families and self-rehabilitation of stroke patients.

The invention discloses a pneumatic soft-body function rehabilitation glove which can provide help for the hand exercise rehabilitation of stroke patients, preoperative patients, postoperative patients and the like. The pneumatic soft-body function rehabilitation glove comprises a glove body, an air pressure sensor, speed and acceleration sensors, an arithmetic unit, a detachable battery, a one-way bending layer, an electromagnetic valve, a miniature air pump and elastic bodies, wherein the glove body mainly comprises a glove outer surface layer and a glove inner surface layer which are used for wrapping devices such as the elastic bodies, air tubes and air bags inside the glove body; the speed and acceleration sensors are used for measuring finger moving speed and acceleration; the air pressure sensor is used for measuring air pressure change in the air bags; the arithmetic unit is used for glove system intelligent operation and control; the detachable battery is used for providing stable energy for the system; the electromagnetic valve, the miniature air pump and the elastic bodies adopt different inflation and deflation strategies for different air channels according to the operation results of the arithmetic unit so as to achieve glove extension and flexion.