Cranial Nerve Stimulation for Depression Detection

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Solution Overview

Problem

Current treatments for depression disorders, such as major depressive disorder and postpartum depression, often have limitations in effectively managing episode frequency, duration, and intensity, particularly in providing timely and responsive interventions.

Innovation Solution

A medical device system that utilizes cranial nerve stimulation (CNS), including trigeminal nerve stimulation (TNS) and vagus nerve stimulation (VNS), to treat depression disorders. The system includes sensors and a processing unit that implement open-loop and closed-loop therapies based on processed sensor data, adjusting therapy parameters to manage depression episodes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If current treatments (medication, neurostimulation) are used to manage depression, then depression episodes can be treated, but the treatments have limitations in effectively managing episode frequency, duration, and intensity

Engineering Contradiction:

Improveeffectiveness in managing depression episodesVSAvoidability to manage episode frequency, duration, and intensity

Core Design Contradiction:

ReliabilityVSAdaptability or versatility

Solution Approach 1:

The system continuously monitors multiple body parameters (skin temperature, heart rate, respiration, activity level, sleep patterns) and uses this feedback to detect depression episodes. The processor analyzes sensor data in real-time and adjusts therapy parameters dynamically, providing adaptive management of depression episodes based on actual patient state changes.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The therapy parameters are made dynamic and adjustable based on real-time sensor data. The system can modify stimulation intensity, frequency, and duration of cranial nerve stimulation therapy responses to depression episodes, allowing flexible adaptation to different episode characteristics and patient needs.

Inventive Principle:

Principle #15Dynamics

2Productivity

If traditional depression treatments are implemented, then therapy can be provided, but timely and responsive interventions are not effectively delivered

Engineering Contradiction:

Improvetimely and responsive intervention deliveryVSAvoidresponse time for depression intervention

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system performs preliminary monitoring of multiple body parameters continuously, even before depression episodes fully manifest. By detecting early signs of depression through sensor data analysis, the system can initiate therapy interventions before episodes become severe, reducing response time and improving intervention timeliness.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system maintains continuous monitoring of body parameters and provides ongoing therapy rather than intermittent treatment. This continuous action ensures that depression episodes are managed throughout their duration, eliminating gaps in care and improving response timeliness.

Inventive Principle:

Principle #20Continuity of useful action

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 effectively reduces the frequency, duration, and intensity of depression episodes by providing timely and responsive interventions, improving patient outcomes through targeted cranial nerve stimulation therapies.

Implementation Method 1

A processing unit may process the sensor data to determine one or more depression-indicative values. The processing unit may determine a depression state of the patient based on the one or more depression-indicative values.

Methodology Applied

Scientific EffectSensor data processing:

Data Source

PatentUS20250032793A1Methods and systems to diagnose depression

Publication Date: 2025.01.30 LIVANOVA USA INC

AI summary

A system includes one or more memory devices having instructions stored thereon that, when executed by one or more processors, cause the one or more processors to perform operations including calculating a depression detection value based in part on a first depression-indicative value based on a first body parameter value, a second depression-indicative value based on a second body parameter value, and a weighting applied to at least one of the first depression-indicative value and the second depression-indicative value, comparing the depression detection value to a first threshold and a second threshold that is different from the first threshold to detect an onset of a depression episode, and initiating neurostimulation therapy by one or more electrodes responsive to detecting the onset of the depression episode.