Intelligent Rehabilitation and Training Systems with Real-time Adaptation
Legal Citation
Summary of the Inventive Concept
A next-generation rehabilitation and training system that leverages advanced technologies such as neural networks, biofeedback, and virtual reality to provide personalized, real-time adaptation and predictive analytics for optimal rehabilitation outcomes.
Background and Problem Solved
The original patent's limitations in providing a static, non-adaptive rehabilitation and training system are overcome by the new inventive concept, which addresses the need for a more dynamic, intelligent, and personalized approach to rehabilitation and training. The new system adapts to the subject's progress in real-time, providing a more effective and efficient rehabilitation experience.
Detailed Description of the Inventive Concept
The new inventive concept comprises a neural network that predicts the subject's physical actions based on sensor data and adapts the rehabilitation or training program in real-time. A biofeedback module provides the subject with personalized feedback on their progress. The system can generate a 3D avatar of the subject using sensor data, simulate various rehabilitation or training scenarios, and adapt the program based on the simulated outcomes. Additionally, the system can be deployed remotely through a cloud-based platform, providing an immersive rehabilitation or training experience through virtual reality and facilitating remote consultations through telemedicine. A wearable device with a miniaturized depth sensor, machine learning module, and haptic feedback module can also be used for personalized rehabilitation and training. The system's data analytics module analyzes sensor data, identifies patterns and trends, and forecasts the subject's rehabilitation or training outcomes, providing personalized recommendations.
Novelty and Inventive Step
The new claims introduce a paradigm shift in rehabilitation and training by incorporating advanced technologies such as neural networks, biofeedback, and virtual reality, which enable real-time adaptation and predictive analytics. The inventive step lies in the integration of these technologies to provide a personalized, intelligent, and dynamic rehabilitation and training system.
Alternative Embodiments and Variations
Alternative embodiments of the inventive concept could include the use of other advanced technologies such as augmented reality, artificial intelligence, or the Internet of Things (IoT) to enhance the rehabilitation and training experience. Variations of the system could be designed for specific rehabilitation or training applications, such as sports injury rehabilitation or neurological disorder treatment.
Potential Commercial Applications and Market
The new inventive concept has significant commercial potential in the healthcare and fitness industries, with potential applications in rehabilitation centers, hospitals, gyms, and sports training facilities. The system's ability to provide personalized, real-time adaptation and predictive analytics makes it an attractive solution for healthcare providers and fitness professionals seeking to improve rehabilitation outcomes and enhance the training experience.
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Rehabilitation and training technologies, specifically computer-assisted therapeutic systems involving depth sensing, body modeling, and motion tracking for medical rehabilitation
Person of Ordinary Skill (PHOSITA) Profile
A professional with expertise in biomedical engineering, computer vision, machine learning, and rehabilitation technology, typically holding a master's or doctoral degree with experience in sensor-based medical intervention systems
Obviousness Rationale
A person having ordinary skill would recognize that the published technical disclosure represents predictable technological extensions of the source patent's core rehabilitation system framework. The PTD introduces well-known machine learning, neural network, and data analytics techniques that are natural progressions for sensor-based rehabilitation technologies. These variations represent standard engineering approaches to enhance the functionality of depth-sensor rehabilitation systems through intelligent adaptation and personalized feedback mechanisms.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,335 |
|---|---|
| Title | Systems, methods, and apparatuses for rehabilitation and training |
| Assignee(s) | MINDMAZE GROUP SA |