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

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

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06092138
Enrollment
40
Registered
2023-10-23
Start date
2023-10-20
Completion date
2025-06-30
Last updated
2025-07-11

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

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

Keywords

Rehabilitation, Neckbrace Device, Cervical Diesase

Brief 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.

Interventions

Whether to use wearable devices.

Sponsors

Xuanwu Hospital, Beijing
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to 60 Years
Healthy volunteers
No

Inclusion criteria

* Between the ages of 18 and 60 years. * Degenerative diseases of the cervical spine such as cervical disc herniation, cervical stenosis, ossification of the posterior longitudinal ligament, etc., but surgery is not considered for the time being. * Available for clinical follow-up and agree to long-term clinical follow-up and sign informed consent.

Exclusion criteria

* Age less than 18 years or more than 60 years. * Life expectancy less than 1 year. * Suffering from severe dementia (MMSE score less than 18). * Suffering from other serious medical conditions. * Inability to sign informed consent.

Design outcomes

Primary

MeasureTime frameDescription
visual analogue scaleEnrollment baseline,the first month, the second month, the third monthEvaluate the efficacy of the device in reducing patients' pain. A score of 0 indicates no pain and a score of 10 represents the most severe pain that is unbearable.
neck disability indexEnrollment baseline,the first month, the second month, the third monthThe NDI consists of 10 items, including two parts: neck pain and related symptoms and activities of daily living. Each item has a minimum score of 0 and a maximum score of 5, with higher scores indicating more severe dysfunction.
quality of life short form 12Enrollment baseline,the first month, the second month, the third monthEvaluate the efficacy of the device in improving patients' quality of life.The maximum value of physical score is 56.58 and the maximum value of mental score is 60.76. A higher score indicates a better quality of life.

Secondary

MeasureTime frameDescription
Change in muscle strength (grade)Enrollment baseline, the third monthChange in muscle strength (grade) = Muscle strength at the third month - Muscle strength at enrollment. Muscle strength is graded from 0 to 5, with higher grades indicating better motor function of the extremities. Muscle strength is evaluated by experienced physicians.
Change in muscle tone (grade)Enrollment baseline, the third monthChange in muscle tone (grade) = Muscle tone at enrollment -Muscle tone at the third month. Muscle tone is graded into 6 grades, with higher grades indicating worse motor function of the extremities. Muscle tone is evaluated by experienced physicians.

Countries

China

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026