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Updated: May 28, 2026

Assessment of Static Graviceptive Perception in the Roll-Plane using the Subjective Visual Vertical Paradigm

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AI-Guided Inflatable Neck Brace for Personalized Cervical Support.

Abderrezaq Chemmami¹, Lyamine Guezouli¹, Aymen Ahmed Houasnia¹

¹LEREESI Laboratory, HNS-RE2SD, Batna 05000, Algeria.

Sensors (Basel, Switzerland)

|May 27, 2026

Summary

This study introduces an AI-powered inflatable neck collar that offers personalized support for cervical disc herniation pain. The device uses AI to adapt support in real-time, improving patient comfort and treatment.

Keywords:

AI-powered neck brace cervical disc herniation intelligent rehabilitation neck pain management personalized support wearable technology

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Area of Science:

Biomedical Engineering
Artificial Intelligence in Healthcare
Orthopedics

Background:

Cervical disc herniation causes significant pain and functional limitations.
Existing treatments may lack personalization and real-time adaptability.
There is a need for innovative solutions to manage neck pain effectively.

Purpose of the Study:

To develop and evaluate an AI-powered inflatable neck collar for personalized support.
To enable real-time, adaptive treatment for cervical disc herniation.
To improve patient outcomes and quality of life.

Main Methods:

Integration of motion sensors, an AI model trained on MRI data, and an inflatable collar.
AI model for accurate detection of disc herniations and vertebral segmentation.
User-centered design with personalized profile management and data logging.

Main Results:

The AI system demonstrated accurate detection and segmentation of disc herniations.
The collar provided robust real-time response and adaptability to user needs.
Simulations validated the effectiveness of the AI-guided system.

Conclusions:

The AI-powered neck collar shows significant potential as a novel treatment for neck pain.
The system offers personalized and adaptive support for individuals with disc herniation.
Further research will focus on dataset expansion for improved fairness and system generalizability.