Enhanced Storage and Real-time Optimization of Sensed Information for Electrical Stimulation Therapy
Legal Citation
Summary of the Inventive Concept
This inventive concept discloses improvements to the original patent, focusing on direct enhancements to the storage and real-time optimization of sensed information for electrical stimulation therapy, enabling more efficient, safer, and more effective treatment.
Background and Problem Solved
The original patent, 'Managing storage of sensed information,' presented a system for storing and processing evoked compound action potential (ECAP) information. However, the patent had limitations in terms of storage capacity, signal quality, and real-time optimization. This new inventive concept addresses these limitations by introducing optimized memory storage, compression algorithms, sensor arrays, machine learning predictions, and real-time adjustments to stimulation parameters.
Detailed Description of the Inventive Concept
The new system comprises an optimized memory for storing a high volume of ECAP information, processing circuitry configured to compress the ECAP information prior to storage, and a sensor array capable of sensing ECAP signals from multiple directions. The system also incorporates a machine learning algorithm to predict optimal stimulation parameters based on historical ECAP information, allowing for real-time adjustments to stimulation therapy. Additionally, the system includes features for monitoring patient activity levels, detecting sudden changes in electrode distance, and automatically adjusting stimulation intensity to prevent uncomfortable or painful sensations.
Novelty and Inventive Step
The new claims introduce novel and non-obvious enhancements to the original patent, including optimized memory storage, compression algorithms, sensor arrays, machine learning predictions, and real-time adjustments to stimulation parameters. These advancements provide a significant improvement in the efficiency, safety, and effectiveness of electrical stimulation therapy.
Alternative Embodiments and Variations
Alternative embodiments of this inventive concept could include using different types of sensors, such as accelerometers or gyroscopes, to monitor patient activity levels. Variations could also include integrating the system with other medical devices, such as pacemakers or implantable cardioverter-defibrillators, to provide a more comprehensive treatment approach.
Potential Commercial Applications and Market
The enhanced storage and real-time optimization of sensed information for electrical stimulation therapy have significant commercial potential in the medical device industry, particularly in the areas of chronic pain management, Parkinson's disease treatment, and epilepsy therapy. The target market includes medical device manufacturers, hospitals, and clinics specializing in neurological disorders.
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Medical device technology, specifically electrical stimulation therapy systems with neural signal sensing and processing, requiring advanced electrical engineering, biomedical engineering, and signal processing expertise
Person of Ordinary Skill (PHOSITA) Profile
A biomedical engineer with expertise in neural stimulation devices, signal processing algorithms, embedded systems design, and medical device data management, holding advanced degrees and 3-5 years of specialized experience
Obviousness Rationale
A PHOSITA would recognize that the PTD's variations represent predictable extensions of the source patent's core neural signal sensing and storage methodology. The disclosed enhancements like machine learning prediction, multi-directional sensor arrays, and real-time parameter adjustment are logical technological progressions that would be obvious to implement using standard engineering techniques and known signal processing approaches.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,793 |
|---|---|
| Title | Managing storage of sensed information |
| Assignee(s) | Medtronic, Inc. |