EMG-Guided Bladder Neuromodulation With Dynamic Mode Switching
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Solution Overview
Problem
Existing electrical stimulation treatments for bladder conditions like underactive bladder (UAB) and overactive bladder (OAB) face challenges in achieving closed-loop neuromodulation and precise control due to individual variability and dynamic changes in urodynamics.
Innovation Solution
An intelligent interactive neuromodulation system using intravesical and pelvic floor stimulation, incorporating an EMG acquisition module, intelligent diagnostic module, and electrical stimulation module, dynamically switches between treatment modes based on real-time EMG signal analysis to adapt to individual patient needs, utilizing patch electrodes and bladder electrodes for precise electrical stimulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If fixed electrical stimulation protocols are used for treating bladder conditions, then treatment simplicity is maintained, but adaptability to individual patient variations and dynamic urodynamic changes deteriorates
Solution Approach 1:
The system continuously monitors EMG signals from pelvic floor muscles and uses this feedback to automatically adjust stimulation parameters. The intelligent diagnostic module analyzes real-time muscle activity and dynamically modifies stimulation intensity and timing, creating a closed-loop control system that adapts to individual patient responses without requiring complex manual reconfiguration
Solution Approach 2:
The system transitions from static fixed protocols to dynamic adaptive protocols that automatically adjust stimulation parameters based on real-time EMG signal analysis. The intelligent diagnostic module enables continuous modification of treatment parameters during therapy sessions, allowing the system to respond to dynamic urodynamic changes while maintaining operational simplicity through automated control
2Measurement precision
If manual monitoring and adjustment of stimulation protocols is performed, then treatment precision can be optimized, but physician burden and time consumption increase
Solution Approach 1:
The system performs self-adjustment of stimulation parameters by automatically analyzing EMG signals and modifying treatment protocols without physician intervention. The intelligent diagnostic module independently optimizes stimulation intensity and timing based on real-time muscle activity feedback, maintaining high treatment precision while eliminating the need for continuous manual monitoring and adjustment
Solution Approach 2:
The system replaces manual physician monitoring and adjustment with an automated intelligent diagnostic module that uses algorithms to analyze EMG signals and control stimulation parameters. This substitution of manual mechanical adjustment with automated electronic control maintains treatment precision while significantly reducing physician time consumption and burden
3Manufacturing precision
If closed-loop neuromodulation is implemented with real-time EMG monitoring, then treatment accuracy is improved, but device complexity and cost increase
Solution Approach 1:
The system uses a multi-functional integrated design where the same EMG acquisition electrodes serve both as sensors for monitoring muscle activity and as reference points for stimulation delivery. The intelligent diagnostic module performs multiple functions including signal acquisition, analysis, and control parameter generation, reducing the need for separate specialized components and thereby limiting the increase in device complexity while achieving high treatment accuracy
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system achieves closed-loop neuromodulation and precise control, improving treatment accuracy and reducing physician burden by autonomously adjusting treatment protocols based on EMG signal variations, enhancing treatment efficiency and personalization.
Implementation Method 1
an electromyography (EMG) acquisition module includes a first patch electrode attached to a perianal region
Implementation Method 2
applying corresponding electrical stimulation pulses by using the electrode inserted into the bladder lumen
Implementation Method 3
applying corresponding electrical stimulation pulses by using the second patch electrode attached to the perianal region
Data Source
AI summary
An intelligent interactive neuromodulation system by intravesical and pelvic floor stimulation is provided, including: an electromyography (EMG) acquisition module, an intelligent diagnostic module, a display interaction module, and an electrical stimulation module. The intelligent diagnostic module is configured to receive an original EMG signal acquired by the EMG acquisition module and obtain feature information, generate a first treatment protocol by using the feature information and a preconfigured intelligent fitting model, and generate a classification result of an abnormal bladder activity based on the feature information and a preconfigured intelligent classification model; in response to identifying that a detrusor activity of a patient changes, automatically complete dynamic switching between a first treatment mode and a second treatment mode. The display interaction module is configured to receive a first treatment protocol and a second treatment protocol, and send the first treatment protocol to the electrical stimulation module to apply electrical stimulation pulses.