54 results about "Hand tremors" patented technology

A multi-modal articulation system translates human gestures into control commands for digital and automation devices. The system integrates a camera module, which captures facial and hand movements, with an image processing unit that extracts facial features, such as eyebrow movement, lip curvature, eyelid motion, and eye trajectory. These extracted features are analyzed in real time by an articulation recognition module that compares them against a database to recognize specific gestures. The system tracks and processes air-drawn hand gestures using a gesture trajectory tracking unit, which converts the motions into digital representations and classifies them using deep learning algorithms. The recognized gestures are converted into machine-readable control signals and executed on various connected devices via a relay control unit. The system incorporates adaptive algorithms to improve accuracy, account for environmental conditions, and stabilize hand tremors, providing a gesture-based control interface for applications ranging from smart home systems to multimedia devices.

The invention belongs to the technical field of medical electronic equipment, and discloses a control system for alternative electrical stimulation of idiopathic tremor, and the system comprises a signal collection module which is used for obtaining tremor motion data of a patient in real time; the signal processing module is used for analyzing tremor frequency, amplitude and phase characteristics; the dynamic parameter generation module is used for generating an alternate stimulation mode according to the tremor characteristics; and the electrode array module comprises at least two stimulating electrodes and a reference electrode. The invention provides a non-invasive and dynamically optimized alternate electrical stimulation control system which is used for inhibiting hand tremor of an idiopathic tremor patient, regulation and control of a tremor network can be enhanced by alternately stimulating different peripheral nerves, the curative effect can be improved through closed-loop feedback optimization parameters, long-acting and safe tremor inhibition is achieved, and the treatment effect is improved. The problems of insufficient curative effect, nerve adaptability, surgical risk and the like in the prior art are solved.

The invention relates to the technical field of intelligent detection, in particular to a Parkinson's disease intelligent detection method and system based on data recognition, and the method comprises the following steps: collecting the physiological and motion data of a user through an intelligent watch, a wrist strap and a mobile gait detector, recording the gait speed, the stride length and the hand tremor frequency, analyzing the smoothness of the hand motion, and determining the smoothness of the user. And recording the timestamp of each data point, and organizing the data according to a time sequence to obtain a time sequence data set. According to the invention, the physiological and motion data collected by the intelligent device is subjected to time serialization processing, each small change of Parkinson's disease is tracked in detail, the time slice data is analyzed by using the neural network, normal and abnormal modes are effectively distinguished, and key behavior characteristics are accurately extracted. The Parkinson's disease early-stage judgment capability is enhanced, a doctor is helped to adjust a treatment scheme in time through continuous monitoring, the life quality of a patient is remarkably improved, and continuous medical decision support is provided.

The invention relates to the technical field of tableware. The mechanical anti-shake tableware comprises a hollow sphere, an arc-shaped communicating opening is formed in the outer side of the hollow sphere, tableware is arranged on the outer side of the arc-shaped communicating opening, the tableware is connected to one end of a damping mechanism in a clamped mode, and the patient holds the hollow sphere and then swings left and right greatly. The fingers of a patient are firmly locked on the outer side of the inner hollow sphere under the cooperation of the damping mechanism and the locking mechanism, so that the patient can tightly hold the inner hollow sphere in the shaking process, and when the patient needs to apply food clamping force to tableware, the tableware can stably move under stress under the cooperation of the damping mechanism and the thrust mechanism; according to the food clamping device, a patient can stably push tableware on the two sides to accurately clamp food in the shaking process, so that the patient can easily clamp up the food when clamping the food, the dining experience of the patient is improved, and pleasure and convenience are brought.

The application discloses a hand tremor recognition system based on an improved MobileViT, which comprises a data acquisition module, an Archimedes spiral hand drawing drawn by a tester on a collection table; a data preprocessing module, which performs data preprocessing on the Archimedes spiral hand drawing collected by the data acquisition module; and a recognition module, which classifies the image processed by the data preprocessing module by using a trained and tested improved MobileViT lightweight network PD-Net. The application can obtain rich and important global and local information, including tremor and spacing features, and the information is effectively captured by applying an attention mechanism. The classification network can better complete the classification task and obtain accurate classification results, thereby improving the performance of the entire deep attention network model.

A device for hand tremor stabilization is provided, the device comprising a rotatable flywheel assembly (23) mountable to a user's hand. The rotatable flywheel assembly (23) comprises: i) a flywheel (24) having a flywheel mass m and a flywheel diameter d, and ii) a prime mover (25) adapted to rotate the flywheel (24) about a flywheel rotation axis (38) at a rotation speed R such that the rotatable flywheel assembly (23) generates a vibration having a vibration level of about 0.05 kg / m 2 / s and about 0.30kgm 2 The angular momentum is between 1.1 and 1.1 s.

A hand tremor detection method based on a smartphone camera and image convolution belongs to the technical field of identification and detection, and comprises the following steps: shooting real-time image data of hand tremor of a PD patient through a built-in camera of a smartphone, carrying out a series of preprocessing on original data, and constructing a data set; and training a deep learning model to predict tremor types and severity division, and comparing and analyzing model effects. According to the method, a method of combining video graying and moving average interpolation is adopted, and noise interference in original image data is effectively removed. Meanwhile, a data enhancement mode is adopted, data features are enriched, and the generalization ability of a subsequent model is effectively improved. According to the method, the GCN iteration block is taken as a basic framework, and the GRU and the graph attention mechanism GAT are introduced, so that the feature learning efficiency of the model is effectively improved. According to the method, starting from the multi-classification task characteristic of a deep learning model, ACC and macro F1 scores are taken as main performance indexes, and five-fold cross validation is adopted, so that the superiority and robustness of the model are fully verified.

The invention provides a method and a device for measuring and calculating idiopathic hand tremor and skin electrical stimulation equipment thereof. The measuring and calculating method comprises the following steps: acquiring a hand tremor signal and storing the hand tremor signal; and after the acquisition is completed, carrying out feature analysis on the hand vibration signal to obtain a hand vibration frequency, namely a measurement result, and then carrying out signal conversion on the hand vibration frequency. According to the method for measuring and calculating the idiopathic hand tremor, hand tremor data collection and data analysis can be achieved by holding the mobile device, and the measurement and calculation of the idiopathic hand tremor are achieved by fully utilizing a built-in sensor and a built-in communication interface of the mobile device such as a smart phone in the prior art.

The utility model relates to the technical field of animal tissue slicing, and discloses an adjustable animal tissue slicing device which comprises a main body shell, a driving module is arranged on the side wall of the main body shell, a conveying piece is fixedly connected to the inner side wall of the main body shell, and a transverse groove is formed in the conveying piece. On the premise of an automatic cutting mechanism, the slicing precision and uniformity can be improved, and the problem of non-uniform slicing thickness caused by human factors such as hand shaking and non-uniform force application in manual operation is effectively avoided; the thickness of each time of cutting can be accurately controlled, the consistency of the thickness of the slices is ensured, and a highly reliable and repeatable data basis is provided for subsequent histological analysis, pathological diagnosis and cell biology research, so that the accuracy and reliability of experimental results are improved, experimental errors caused by the thickness difference of the slices are reduced, and the experimental efficiency is improved. And scientific researchers can more accurately reveal the microstructure and pathological change characteristics of tissue cells.

This product is a handle for eating utensils that can be attached to spoons, forks, etc. and used in nursing care. It was created with the idea of ​​"pushing" in mind for people who find it difficult to apply force when using conventional spoons and forks that require gripping, or who experience hand tremors and end up using unnecessary force when trying to control their grip, which worsens the tremors or causes hand cramps. The pear-shaped grip and wing-shaped protrusions on both sides allow for pressure to be applied from any angle using the entire palm and all five fingers. The rounded, streamlined design with no corners allows for smooth gripping. The overall short length prevents shoulders from lifting or armpits from opening when using the utensil, making it easy to handle and eat with.

The invention is suitable for the technical field of medical instruments, and provides a trephine tool bit type servo electric hair transplanting pen which comprises an electric hair transplanting pen body, an auxiliary hair transplanting mechanism is arranged on the outer side of the electric hair transplanting pen body, and a power supply mechanism is arranged at the top of the electric hair transplanting pen body; according to the electric hair transplanting pen, the auxiliary hair transplanting mechanism is arranged on the outer side of the electric hair transplanting pen body, so that the hair transplanting process depends on hand control of an operator, and the hair transplanting operation can be stably guided by means of an auxiliary supporting structure formed by the fixing rod, the connecting rod and the telescopic arm; the auxiliary hair transplanting mechanism is reliably locked in different position states, so that the influence of hand shaking on the operation precision is effectively reduced in the hair transplanting process, the stability of the hair transplanting posture can be kept especially in long-time continuous hair transplanting or high-density hair transplanting operation, the hair transplanting consistency and survival rate can be improved, and the overall hair transplanting effect is improved.

The invention discloses a Parkinson's disease screening method and system based on image analysis and a storage medium, and relates to the technical field of image analysis, and the method comprises the steps: controlling a shooting device to carry out video collection on a to-be-screened crowd, and obtaining a to-be-analyzed video; and performing analysis processing on the to-be-analyzed video to obtain to-be-verified features. According to the method, the video to be analyzed is preprocessed, irrelevant images in the video to be analyzed are deleted, the subsequent image analysis time is shortened, then the preprocessed video to be analyzed is subjected to feature extraction, the hand tremor frequency to be verified is determined, the judgment standard of the Parkinson's disease is analyzed, the set hand tremor frequency threshold value is determined, and the accuracy of the hand tremor frequency is improved. And finally, the to-be-verified hand tremor frequency and the set hand tremor frequency threshold value are judged and processed, whether people in the to-be-screened crowd suffer from the Parkinson's disease or not is determined, the Parkinson's disease is screened in an image processing mode, the working intensity of screening personnel is reduced, and meanwhile the screening precision of the Parkinson's disease is improved.

The invention discloses a GNN-based hand tremor amplitude identification method. The method comprises the following steps of obtaining videos of a hand of a detected object in two states; the acquired video data are preprocessed; generating a node graph by taking hand joints in the video as nodes; constructing a hand tremor amplitude grade evaluation model; and evaluating a to-be-tested video by using the trained model to generate an evaluation result. As a classification method, the hand joint tremor amplitude recognition method provided by the invention can quickly recognize the hand tremor level with high precision.

The invention belongs to the technical field of medical auxiliary instruments, and particularly relates to an eyedrop instillation assist device which comprises a negative pressure adsorption base, a pupil calibrator and a liquid medicine squeezer. A negative pressure adsorption base, a pupil calibrator and a liquid medicine squeezer are arranged, the negative pressure adsorption base comprises an adsorption long arm, an upper suction cup, a lower suction cup and a squeezing air bag, the pupil calibrator comprises a sliding assembly and a calibration assembly, and the liquid medicine squeezer is provided with a squeezing support, a magnetic suction clamping nozzle, a manual squeezing arm and a linked eyelid supporting structure. By matching with components such as clamping teeth and a damping spring, a series of problems that the hand is easy to shake, the instillation position is inaccurate, liquid medicine is wasted, a bottle opening of a medicine bottle is easy to touch eyes to cause secondary injury, eyelids shield conjunctival sacs, the adaptability and universality of the device are poor, the extrusion force is non-uniform, the supporting is uncomfortable, the arm is soreness and swollen after long-term operation, the device is easy to shift and the like when the patient holds the device for instillation are solved; the effects that instillation is stable and accurate, operation is convenient, fast and safe, and different patients and medicine bottle specifications are adapted are achieved.

This invention provides a rivet disassembly fixture and method, belonging to the field of riveting and fastening technology. It includes a fixture body, a first connecting body, and a driving component. The fixture body has a positioning rod, the lower end of which abuts against the top of the rivet head. The first connecting body is rotatably sleeved on the positioning rod, and a planer gun is mounted on the first connecting body. The driving component is located on the fixture body, and its driving end is connected to the first connecting body, driving the first connecting body to rotate, thereby causing the planer gun to rotate around the positioning rod and cut the rivet head. This rivet disassembly fixture provides a way to prevent direct contact between the operator and the planer gun during operation, thus avoiding the problem of fatigue and hand tremors that can easily lead to damage and ruin of critical components when manually cutting rivets with a planer gun.

The invention discloses a microsurgery mechanical arm high-precision hand tremor elimination man-machine cooperative control method integrated with electroencephalogram intention prediction, and relates to the technical field of medical robots and surgery auxiliary systems. Electroencephalogram signals and hand action data of doctors are synchronously collected and input into a pre-trained micro-world model, so that the human-machine cooperative control method for eliminating the high-precision hand tremor of the doctors is achieved; a real operation intention vector is generated in a submerged space, and a hand trembling trajectory and an ideal operation trajectory are predicted. The high tremor risk state is judged by calculating emotion and cognitive indexes, in combination with intention deviation and tremor data, efficient elimination of hand tremor is achieved through driving force feedback and a reverse anti-phase compensation mechanism of a mechanical arm controller, and an ideal operation track is executed. The system further comprises an abnormal state security protocol, model federal learning evolution and a data security destruction mechanism. According to the invention, advanced and accurate man-machine cooperative control is realized, and the stability and precision of microsurgery are remarkably improved.

This application discloses a data transmission system and method for operation guidance in remote interventional surgery, relating to the field of intelligent sensor technology. The method includes: acquiring a control dataset; calculating the video end-to-end latency, visual matching ambiguity, and operator hand tremor components based on the control dataset; processing the optimal pairing set corresponding to the control dataset and the visual matching ambiguity using a preset filter to obtain motion state estimates; performing temporal cross-correlation analysis on the video end-to-end latency and operator hand tremor components to calculate the delay-tremor coupling strength; constructing a future position prediction distribution model based on the motion state estimates and the delay-tremor coupling strength; superimposing the future position prediction distribution model with a preset anatomical structure model, and displaying the superimposed result on the current surgical video screen to guide the surgeon in remotely controlling the surgical operation from the control terminal. This application improves the safety of remote precision operations.

The invention discloses a spine minimally invasive surgery puncture instrument guiding device in the technical field of medical instruments, and the spine minimally invasive surgery puncture instrument guiding device comprises a fixing seat, the top of the fixing seat is fixedly connected with a first arc-shaped supporting rod, and the first arc-shaped supporting rod is in sliding fit with a second arc-shaped supporting rod; the second arc-shaped supporting rod is in sliding fit with an adjusting seat; a rotating rod is rotationally connected to one side of the adjusting seat, a telescopic rod is in sliding fit with the interior of the rotating rod, the telescopic rod extends out of the rotating rod and is fixedly connected with a guide cylinder, and an anchoring assembly used for fixing a puncture instrument is in sliding fit with the top end of the guide cylinder. The space position and angle of the guide cylinder can be flexibly adjusted, a preset puncture path can be rapidly aligned, a puncture instrument can be fixed, stable supporting is provided when puncture is suspended in the midway, a physician is replaced to hold the device by hand, and drifting of the device due to hand tremor or fatigue is avoided.

The invention discloses a multi-mode prompting anti-shake diet auxiliary system, and relates to the technical field of intelligent tableware, the multi-mode prompting anti-shake diet auxiliary system comprises an intelligent sensing bowl and intelligent anti-shake tableware, the intelligent sensing bowl is in communication connection with the intelligent anti-shake tableware, and the intelligent sensing bowl comprises a bowl body, a sensing module, a visual prompting module and a bowl bottom; the intelligent anti-shake tableware comprises a tableware body, a tremor suppression module and a touch prompt module. Through communication connection of the intelligent sensing bowls and the intelligent anti-shake tableware, active anti-shake, intelligent sensing and multi-mode prompting are integrated, a set of efficient diet auxiliary system is provided for patients with hand tremor and cognitive impairment, the feeding autonomy of the patients can be remarkably improved, accurate delivery of food is ensured through real-time tremor compensation, scattering is reduced, and the food quality is improved. The cognitive function of the patient can be effectively compensated, feeding is reminded, operation is guided, forgetting is prevented through visual and tactile prompts, meanwhile, the dignity and confidence of the patient are enhanced to a great extent, and the patient can finish dining autonomously and physically.

The invention discloses an intelligent anti-shake pen based on vector force guidance and a writing method, and the intelligent anti-shake pen comprises a pen body housing, an internal core support, a slidable writing refill assembly, a tremor suppression module, a vector force stroke auxiliary driving module, a bidirectional interaction module and a main controller. The tremor suppression module monitors the tremor transmitted to the pen body due to the tremor of the hand of a user in real time through a built-in inertial measurement unit and drives the reverse micro-vibration assembly to generate dynamically matched compensation torque, and meanwhile, the vector force stroke auxiliary driving module outputs the compensation torque to the pen body according to a stroke instruction issued by an external intelligent terminal. Physical guiding force which is controllable in direction in the two-dimensional writing plane is applied to the writing refill assembly. And the main controller cooperatively regulates and controls anti-shake and guide, and performs closed-loop communication with an external terminal through the bidirectional interaction module. According to the invention, active anti-shake and active stroke guide functions are combined, so that a hand tremor patient can be effectively helped to write stably, a writing learner is assisted to master a correct stroke order, and the writing stability and accuracy are remarkably improved.

The utility model discloses an anti-shake mouse bone marrow pinching microscopic tweezer, and relates to the technical field of microscopic tweezers, and the technical scheme is that the anti-shake mouse bone marrow pinching microscopic tweezer comprises a tweezer clip and a tweezer head, the tweezer clip is fixedly connected with the tweezer head, a sliding groove is formed in the tweezer clip, the sliding groove is connected with a pulley in a sliding mode, and one end, close to the inner side, of the pulley is fixedly connected with a spring. The mouse spinal cord fixing device has the effect of preventing the spinal cord of a mouse from being damaged to different degrees by hand tremor.

A hand tremor treatment device that includes a ventral pad including a ventral vibration-inducing device and a ventral compression-inducing device, a dorsal pad including a dorsal vibration-inducing device and a dorsal compression-inducing device, a lateral strap, a medial strap, and a controller. The device is configured to be worn on the wrist and is configured to detect a hand tremor onset and in response induce compression via at least one selected from the ventral compression-inducing device and the dorsal compression-inducing device and to induce vibration via at least one selected from the ventral vibration-inducing device and the dorsal vibration-inducing device.

This invention provides a touchscreen mobile phone assistive device, method, and apparatus. The device includes an input module, a transmission module, and an accessibility service software module. The input module receives user input operations and transmits the user input information to the accessibility service software module via the transmission module. The accessibility service software module listens to user input information, displays indicator lines on the touchscreen mobile phone application interface showing the correspondence between the input module buttons and icons / text controls in the application, and issues corresponding application operation commands to the application based on user input information. This invention provides a solution to the common gesture operation difficulties faced by elderly people with severely impaired motor perception or pathological hand tremors when using touchscreen mobile phones, thereby improving the user experience, by replacing the touchscreen with an assistive device.

The utility model discloses a filter core integrity detection device relates to filter core detection technical field, specifically includes: detection test bench, liquid tank, left clamping rotary device, right clamping rotary device, filter core, air inlet pipe, the below of filter core is provided with the support mechanism to support the lower surface of filter core, both sides of filter core are provided with trigger mechanism to control the operation of support mechanism. The utility model discloses through support mechanism and left, right clamping rotary device cooperation, realize the automatic support and detection to filter core. After filter core and left clamping rotary device butt joint, the support plate rises the support filter core through the trigger of pressure sensor, liberates the right hand of staff, can solve the problem of arm soreness or hand tremor influence alignment caused by single hand holding up filter core. Before filter core rotates, electric telescopic handle controls the support plate and moves down and separates from filter core end cover, avoids the abrasion of filter core and support plate when rotating, causes the problem of the abrasion particle with liquid flow and enter filter core aperture.

The present invention discloses an artificial intelligence-based pediatric massage teaching auxiliary system, which specifically relates to the technical field of massage auxiliary teaching. The system adopts Kalman filtering technology to effectively filter out large-scale interference in hand motion data, combines fast Fourier transform or wavelet transform to perform time-frequency analysis, and accurately captures the frequency domain characteristics of micro-tremor signals. Through fine micro-tremor signal analysis, noise interference is removed, and subtle changes in trainees' hand micro-tremors are accurately identified, which significantly improves the assessment accuracy of massage action stability. An integrated learning progress management module automatically adjusts teaching content according to the trainees' learning progress and skill mastery, provides real-time feedback and positive incentives, provides incentives when trainees perform well, and provides real-time prompts and optimizes subsequent actions when deviations occur, so as to help trainees continuously improve their techniques, avoid error accumulation, and effectively improve teaching effects.

The invention relates to the technical field of neurology auxiliary equipment, and discloses a rehabilitation training device for relieving hand tremor of a Parkinson patient, which comprises an elastic buffer structure and an eccentric shaking mechanism, and is internally provided with a first component, a second component, a third component and a fourth component, the eccentric rotating column can generate a shaking effect; and the driving motor is mounted below the eccentric rotating column and can drive the eccentric rotating column to rotate. According to the rehabilitation training device for relieving hand tremor of the Parkinson patient, an elastic hand pinching function can be provided when the hand tremor of the patient is relieved, so that the ability of the patient to exercise fingers is enhanced, in addition, the device can generate autonomous shaking so that the ability of the patient to resist the shaking phenomenon can be simulated in daily life, and the rehabilitation training effect is improved. Therefore, the hand tremor phenomenon of the Parkinson patient is relieved.

The invention provides a bracelet-type hand shake monitoring device for a Parkinson's disease patient, and relates to the field of medical apparatuses and instruments, the bracelet-type hand shake monitoring device comprises a bracelet body; the bracelet body comprises a sensing assembly, a control assembly, a local cache assembly, a communication assembly, a power supply assembly and an interaction assembly; the sensing assembly comprises a three-axis acceleration sensor, a six-axis gyroscope and a pressure sensor; the three-axis acceleration sensor, the six-axis gyroscope and the pressure sensor are electrically connected with the control assembly; the control assembly can compare the received data collected by the sensing assembly with a preset personal conventional jitter baseline for judgment; the control assembly is electrically connected with the local cache assembly, the communication assembly, the power supply assembly and the interaction assembly. According to the bracelet type hand tremor monitoring device for the Parkinson's disease patient, the problem that in the prior art, detection is carried out only on the basis of hand tremor of the patient during treatment, and the accuracy of the monitoring result is insufficient is solved, and doctors can conveniently obtain hand tremor symptom monitoring data of the Parkinson's disease patient with higher accuracy.

1. Name of the product in this design: Hand-held assistive device (T0006). 2. Purpose of this design: It is used as an auxiliary tool during the model making process for surface painting, handling of fine parts, scribing, etc. The hand-held auxiliary tool provides support and effectively reduces hand tremors, thereby improving production efficiency. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key features: the front view.

The present invention relates to the field of intelligent detection technology, and specifically to a Parkinson intelligent detection method and system based on data recognition, which includes the following steps: collecting the user's physiological and motion data through a smart watch, a wristband, and a mobile gait detector, recording the gait speed, stride length, and hand tremor frequency, analyzing the smoothness of hand movements, recording the timestamp of each data point, and organizing the data in chronological order to obtain a time series data set. In the present invention, the physiological and motion data collected by intelligent devices are processed through time serialization, carefully tracking every tiny change in Parkinson's disease, using a neural network to analyze the time segment data, effectively distinguishing normal and abnormal patterns, and accurately extracting key behavioral features, which not only enhances the ability to judge Parkinson's disease in the early stage, but also helps doctors adjust treatment plans in a timely manner through continuous monitoring, significantly improving the quality of life of patients and providing continuous medical decision-making support.