AI-Enabled Medical Stimulator with Closed-Loop Feedback

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Solution Overview

Problem

Existing neural stimulation technologies lack adaptability across different stimulation positions, are bulky, and lack closed-loop feedback systems, making them difficult to use and inefficient in providing optimized stimulation effects.

Innovation Solution

A medical system incorporating artificial intelligence and Internet of Things capabilities, featuring a conditioner with a stimulation unit, detection unit, digital controller, and computation device that adjusts stimulation parameters automatically based on feedback, allowing for various stimulation types like electrical, magnetic, and optical, and providing a user-friendly interface for medical staff to adjust settings.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If dedicated stimulators are designed for specific stimulation positions, then stimulation effectiveness is improved, but device versatility deteriorates

Engineering Contradiction:
Improvestimulation effectivenessVSAvoiddevice versatility
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent implements a universal stimulator that can perform multiple stimulation types (electrical, magnetic, optical) and target multiple body parts through a single device. The system uses a configurable stimulation unit that can be positioned and adjusted to treat different physiological tissues, eliminating the need for multiple dedicated stimulators while maintaining effectiveness for each specific application.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent employs dynamic adjustment capabilities where stimulation parameters (amplitude, frequency, duration) and physical positioning can be changed in real-time based on feedback. The stimulator can adapt its configuration to match different stimulation requirements for various body parts, transitioning from static dedicated designs to dynamic multi-purpose operation.

Inventive Principle:
Principle #15Dynamics

2Stability of the object's composition

If in vitro stimulators are made bulky for rehabilitation treatment, then treatment stability is improved, but portability deteriorates

Engineering Contradiction:
Improvetreatment stabilityVSAvoiddevice portability
Core Design Contradiction:
Stability of the object's compositionVSWeight of moving object

Solution Approach 1:

The patent combines multiple stimulation modalities and treatment functions into a single integrated device. By merging electrical, magnetic, and optical stimulation capabilities along with feedback mechanisms into one compact unit, the system achieves treatment stability through functional integration rather than requiring separate bulky devices for each treatment type.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The system uses adjustable stimulation parameters (amplitude, frequency, pulse width) that can be optimized for different treatment scenarios. This parameter flexibility allows a single compact device to provide stable and effective treatment across various rehabilitation applications without requiring multiple specialized bulky devices.

Inventive Principle:
Principle #35Parameter changes

3Device complexity

If open loop stimulation systems are used, then device simplicity is improved, but treatment optimization deteriorates

Engineering Contradiction:
Improvesystem simplicityVSAvoidtreatment optimization
Core Design Contradiction:
Device complexityVSReliability

Solution Approach 1:

The patent incorporates closed-loop feedback mechanisms where physiological signals are continuously monitored and fed back to the stimulation unit. This feedback enables real-time adjustment of stimulation parameters based on actual tissue response, significantly improving treatment optimization while adding only moderate system complexity through integrated sensing and control circuits.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system performs automatic parameter adjustment based on feedback signals without requiring constant manual intervention. The digital controller autonomously optimizes stimulation settings by processing physiological feedback and modifying parameters accordingly, enabling the system to self-optimize treatment effectiveness while maintaining manageable complexity through automated control algorithms.

Inventive Principle:
Principle #25Self-service

4Reliability

If multiple dedicated stimulators are used for different organs, then treatment specificity is improved, but system adaptability deteriorates

Engineering Contradiction:
Improvetreatment specificityVSAvoidsystem adaptability
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent creates a universal stimulator platform that can be configured to treat multiple organs and tissue types through a single device. The system includes adjustable electrodes, configurable stimulation modalities, and adaptable parameter settings that enable it to perform specialized treatments for different organs while maintaining one unified device rather than requiring multiple dedicated stimulators.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system divides the stimulation function into modular components including adjustable electrodes, separate stimulation modalities (electrical, magnetic, optical), and independent parameter control. This segmentation allows each component to be optimized for specific organ treatments while the overall system maintains versatility through the combination and reconfiguration of these modular elements.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS11114207B2Medical system capable of artificial intelligence and internet of things
Publication Date: 2021.09.07 NAT CHENG KUNG UNIV
  • US11114207B2 patent drawing
  • US11114207B2 patent drawing
  • US11114207B2 patent drawing

AI summary

A medical system capable of artificial intelligence and Internet of Things includes a conditioner, a control terminal device and a computation device. A patient may perform a physiological tissue stimulation treatment through the conditioner, which may adjust a stimulation parameter according to a feedback result of the stimulation, and transmits a signal of a feedback result indicative of an abnormal stimulation through the Internet of Things to the control terminal device, which has a disease analysis module built therein capable of further identifying an abnormal signal indicative of a disease and the physiological tissue for the feedback result indicative of the abnormal stimulation, so that a medical caring staff adjusts the stimulation parameter for the conditioner with respect to the abnormal signal. Moreover, the medical caring staff may interact with the computation device through the control terminal device to perform a big data analysis for optimization of the stimulation treatment.