AI Neuromuscular Localization Intermediate Frequency Therapy Instrument
Classification:
Product Introduction
Product Introduction
1.Hardware Requirements
(1) Processor: IntelCorei7 or higher CPU, or equivalent AMDRyzen series to ensure sufficient computing power to run complex AI algorithms.
(2) GPU: NVIDIA's GeForceRTX series or Quadro series, AMD's RadeonPro series, etc. for accelerated image processing and deep learning calculations.
(3) Memory: at least 16GB DDR4RAM to support running large datasets and AI models.
(4) Storage: at least 500GB SSD for fast loading of OS, software and datasets.
(5) Camera: High-definition RGB camera with at least 1080p resolution to support live video streaming. Additional IR or depth cameras may be required to enhance positioning accuracy.
(6) Touch screen: multi-touch with a screen size of at least 17 inches.
(7) Display: display resolution of not less than 1920 x 1080.
2. Software requirements
(1) Operating system: Windows 10 or higher.
(2)AI framework: TensorFlow, PyTorch, Caffe, etc. for building and training neural network models.
(3) Image processing libraries: OpenCV, PIL (PythonImagingLibrary), etc. for image preprocessing, feature extraction and visualization.
(4) Database management system: MySQL, PostgreSQL, MongoDB, etc. for storing and managing acupoint data, user data, etc.
3.AI model parameters
(1) Neural network architecture: a combination of deep convolutional neural network (CNN) and recurrent neural network (RNN) or Transformer model to capture the location and contextual information of individual neuromuscular motor stimulation points.
(2) Training dataset: a dataset containing thousands to tens of thousands of human images with locations of neuromuscular motor stimulus points, covering different body types, postures, and lighting conditions.
(3) Accuracy/precision: the accuracy of motion stimulus point recognition achieved on the validation and test sets may reach more than 95%.
(4) Inference speed: In real-time applications, the time required for the model to process a single image and return the motion stimulus point location should typically be less than a few hundred milliseconds.
4.System Performance
(1) Recognition rate: the percentage of motion stimulus points correctly recognized and located by the system should typically approach or exceed the accuracy of the AI model on a test set.
(2) Response time: the total time required from the time the user uploads an image or starts a video stream to the time the system displays the location of the motion stimulus point.
(3) User Interface: Intuitive and easy-to-use graphical interface, currently only supports Chinese, the advanced version supports English and allows users to customize settings and preferences.
5.Compatibility
(1)Camera Compatibility: Supports multiple brands and models of cameras, as well as different connection methods (e.g. USB, HDMI, etc.).
(2)OS Compatibility: Currently only supports Windows OS.
(3) Software Integration: The advanced version provides API or SDK for integration with other medical software, databases or hardware devices.
6.Security
(1)Data encryption: SSL/TLS and other encryption technologies are used to protect user data during transmission.
(2) Access Control: Implement user authentication and rights management to ensure that only authorized personnel can access sensitive data and system functions.
(3) Data Backup: Regularly back up user data and system configuration to prevent data loss or damage.
7.Other Functions
(1)Neuromuscular motor stimulation point information library: Advanced version provides detailed neuromuscular motor stimulation point information, including name, location, function, operation, etc., and supports searching and querying functions.
(2) Remote Support and Updates: Provides remote technical support and regular software updates to fix bugs, enhance functions and improve performance.
Ai Neuromuscular Autonomous Training
Using AI artificial intelligence to lock the motor muscle module, then stimulate the locked muscle position to realize the patient's limb autonomous motor rehabilitation training, turning passive training into its own active training.
Limb training movement selection
Intelligent AI neuromuscular training positioning, according to the patient needs rehabilitation training limbs, in the system desktop to select the corresponding module, customize the training action, to achieve independent rehabilitation training. Intelligent hammering and kneading massage
Intelligent digital programming of Chinese medicine
Let the human body feel the simulation robot hammering, knocking, kneading, pinching and intelligent massage, freeing the hands of doctors and reducing 98% of the manpower workload of department-related work.
Chinese medicine treatment prescription selection
Customized selection of therapeutic techniques, customized selection of therapeutic parts, customized setting of therapeutic time, and customized temperature during treatment, which makes the doctor's operation more practical.
Key words:
Ai Neuromuscular Localization Intermediate Frequency Therapy Inst
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Consultation telephone
0086-400-005-0866 0086-13781569333
Address
No.66 Zhenxing Road Liangyuan District Shangqiu City Henan Provence China
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