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Edge Computing Platform for Spine Health Risk Management Based on IoT Technology

NCT06092138 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 40

Last updated 2025-07-11

No results posted yet for this study

Summary

This project proposes to monitor the spinal posture of a person at rest and in motion in real time through a sensor device that contains spinal health monitoring as its core. By calibrating the five core planes on the spine and using AI algorithms to train the model, the relationship between the core plane data and spine health is established.This project will output medical-grade and consumer-grade wearable spine healthcare and monitoring products, establish an interactive platform to connect the wearer, the data terminal and the professional medical team, so that patients can easily get professional health advice and reminders during home healthcare and rehabilitation; and through the collection of spine health data, establish a national spine health database.

Conditions

  • Cervical Disc Herniation
  • Cervical Spinal Stenosis
  • Ossification of Posterior Longitudinal Ligament
  • Neckbrace Device

Interventions

DEVICE

Wearable Device

Whether to use wearable devices.

Sponsors & Collaborators

  • Xuanwu Hospital, Beijing

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Max Age
60 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-10-20
Primary Completion
2024-10-31
Completion
2025-06-30

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06092138 on ClinicalTrials.gov