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  1. Home
  3. Ai-guided Inflatable Neck Brace For Personalized Cervical Support.
  1. Home
  3. Ai-guided Inflatable Neck Brace For Personalized Cervical Support.

Related Experiment Video

Assessment of Static Graviceptive Perception in the Roll-Plane using the Subjective Visual Vertical Paradigm
06:30

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

Published on: April 28, 2020

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

View abstract on PubMed

Summary
This summary is machine-generated.

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 bracecervical disc herniationintelligent rehabilitationneck pain managementpersonalized supportwearable 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.