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

Primary Purpose

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

Status
Not yet recruiting
Phase
Not Applicable
Locations
Study Type
Interventional
Intervention
Wearable Device
Sponsored by
Xuanwu Hospital, Beijing
About
Eligibility
Locations
Arms
Outcomes
Full info

About this trial

This is an interventional treatment trial for Cervical Disc Herniation focused on measuring Rehabilitation, Neckbrace Device, Cervical Diesase

Eligibility Criteria

18 Years - 60 Years (Adult)All SexesDoes not accept healthy volunteers

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.

Sites / Locations

    Arms of the Study

    Arm 1

    Arm 2

    Arm Type

    Experimental

    No Intervention

    Arm Label

    Wearable Device Group

    Traditional group

    Arm Description

    The Wearable Device Group uses wearable devices to perform rehabilitation exercises using the provided strategies. It includes the application of IoT technology to build a cloud platform combining software and hardware, using the spine sensors described in this project to collect behavioral data (it is recommended that they be worn during working hours every day for no less than 7 hours/week), and using end-to-end AI algorithms for health monitoring; the visualized data is synchronized to the spine health platform for real-time viewing and analysis by both doctors and patients. Through cell phone software and internet platform, spine health files are established to realize convenient and efficient communication between patients and professional doctors.

    The Traditional intervention group used traditional interventions, i.e., routine patient education, guidance on rehabilitation exercises, and tips on proper lifestyle habits.

    Outcomes

    Primary Outcome Measures

    visual analogue scale
    Evaluate 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 index
    The 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 12
    Evaluate 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 Outcome Measures

    Change in muscle strength (grade)
    Change 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)
    Change 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.

    Full Information

    First Posted
    September 27, 2023
    Last Updated
    October 18, 2023
    Sponsor
    Xuanwu Hospital, Beijing
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    1. Study Identification

    Unique Protocol Identification Number
    NCT06092138
    Brief Title
    Edge Computing Platform for Spine Health Risk Management Based on IoT Technology
    Official Title
    Edge Computing Platform for Spine Health Risk Management Based on IoT Technology
    Study Type
    Interventional

    2. Study Status

    Record Verification Date
    September 2023
    Overall Recruitment Status
    Not yet recruiting
    Study Start Date
    October 30, 2023 (Anticipated)
    Primary Completion Date
    October 31, 2024 (Anticipated)
    Study Completion Date
    October 31, 2025 (Anticipated)

    3. Sponsor/Collaborators

    Responsible Party, by Official Title
    Sponsor
    Name of the Sponsor
    Xuanwu Hospital, Beijing

    4. Oversight

    Studies a U.S. FDA-regulated Drug Product
    No
    Studies a U.S. FDA-regulated Device Product
    No

    5. Study Description

    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.

    6. Conditions and Keywords

    Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
    Cervical Disc Herniation, Cervical Spinal Stenosis, Ossification of Posterior Longitudinal Ligament, Neckbrace Device
    Keywords
    Rehabilitation, Neckbrace Device, Cervical Diesase

    7. Study Design

    Primary Purpose
    Treatment
    Study Phase
    Not Applicable
    Interventional Study Model
    Parallel Assignment
    Masking
    None (Open Label)
    Allocation
    Randomized
    Enrollment
    40 (Anticipated)

    8. Arms, Groups, and Interventions

    Arm Title
    Wearable Device Group
    Arm Type
    Experimental
    Arm Description
    The Wearable Device Group uses wearable devices to perform rehabilitation exercises using the provided strategies. It includes the application of IoT technology to build a cloud platform combining software and hardware, using the spine sensors described in this project to collect behavioral data (it is recommended that they be worn during working hours every day for no less than 7 hours/week), and using end-to-end AI algorithms for health monitoring; the visualized data is synchronized to the spine health platform for real-time viewing and analysis by both doctors and patients. Through cell phone software and internet platform, spine health files are established to realize convenient and efficient communication between patients and professional doctors.
    Arm Title
    Traditional group
    Arm Type
    No Intervention
    Arm Description
    The Traditional intervention group used traditional interventions, i.e., routine patient education, guidance on rehabilitation exercises, and tips on proper lifestyle habits.
    Intervention Type
    Device
    Intervention Name(s)
    Wearable Device
    Intervention Description
    Whether to use wearable devices.
    Primary Outcome Measure Information:
    Title
    visual analogue scale
    Description
    Evaluate 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.
    Time Frame
    Enrollment baseline,the first month, the second month, the third month
    Title
    neck disability index
    Description
    The 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.
    Time Frame
    Enrollment baseline,the first month, the second month, the third month
    Title
    quality of life short form 12
    Description
    Evaluate 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.
    Time Frame
    Enrollment baseline,the first month, the second month, the third month
    Secondary Outcome Measure Information:
    Title
    Change in muscle strength (grade)
    Description
    Change 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.
    Time Frame
    Enrollment baseline, the third month
    Title
    Change in muscle tone (grade)
    Description
    Change 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.
    Time Frame
    Enrollment baseline, the third month

    10. Eligibility

    Sex
    All
    Minimum Age & Unit of Time
    18 Years
    Maximum Age & Unit of Time
    60 Years
    Accepts Healthy Volunteers
    No
    Eligibility Criteria
    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.
    Central Contact Person:
    First Name & Middle Initial & Last Name or Official Title & Degree
    Wanru Duan
    Phone
    010-13581803400
    Email
    duanwanru@xwhosp.org

    12. IPD Sharing Statement

    Learn more about this trial

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

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