Encoded Stimulation Pattern Protocol for TENS and NMES Devices
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Solution Overview
Problem
Current electrical stimulation technologies lack effective methods for designing and adapting stimulation patterns to ensure clinical efficacy and safety, particularly in real-time adjustments based on user response, which is not addressed by existing designs or data transmission protocols.
Innovation Solution
The method involves generating an encoded stimulation pattern with a header section for metadata, a body section for the impulse stimulation program, and a footer section for error detection data, allowing for safe and efficient transmission and real-time adaptation based on user feedback from sensors like motion, heart rate, and skin bioimpedance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If error detection data is added to verify pattern integrity, then safety and reliability are improved, but data transmission size and device complexity increase
Solution Approach 1:
The data transmission structure is segmented into three distinct sections: header section containing metadata, body section containing the impulse stimulation program, and footer section containing error detection data. This segmentation allows each section to be independently processed and verified, improving reliability without overwhelming complexity
Solution Approach 2:
Error detection data is prepared in advance during the data generation phase and embedded in the footer section before transmission. This preliminary preparation ensures that verification can be performed efficiently upon receipt without adding complex real-time processing requirements
2Reliability
If real-time adaptation based on user feedback is implemented, then clinical efficacy is improved, but power consumption and processing requirements increase
Solution Approach 1:
The system incorporates sensors that detect user responses to electrical stimulation and feed this information back to the control unit. The control unit processes this feedback and adapts the stimulation pattern in real-time, optimizing clinical efficacy while managing power consumption through efficient processing
Solution Approach 2:
The system performs adaptive adjustments only when necessary based on detected user responses, rather than continuously processing and adjusting all parameters. This partial action approach maintains clinical efficacy while reducing unnecessary power consumption
3Reliability
If structured encoding with header and footer sections is used, then data transmission safety is improved, but transmission time and processing overhead increase
Solution Approach 1:
The structured encoding divides data into header, body, and footer sections with specific functions for each. This segmentation enables efficient processing where the header can be parsed quickly for metadata, and the footer with error detection data can be verified independently, reducing overall processing time compared to unstructured verification
Data Source
AI summary
A method for encoding electrical stimulation sequence or program and transferring them to an electrical stimulation device for the treatment of medical and non-medical conditions. NeuroMuscular Electrical Stimulation (NMES) and Transcutaneous Electrical Nerve Stimulation (TENS) consists of delivering short electrical impulses to the user. These impulses are characterized by their shape, polarity, amplitude, duration and impulse-to-impulse duration. This encoding method focuses on the impulse amplitude, polarity, duration and impulse-to-impulse duration. The stimulation program can be adjusted in real time using data transmitted by various sensors.