Research on the Early Warning Model of Children Asthma Acute Attack Based on Wearable Wrist Smart Device of Huami

February 7, 2022 updated by: LI-HONG SUN, Guangzhou Institute of Respiratory Disease
Childhood asthma is the most common chronic respiratory disease in childhood. The essence of asthma is chronic airway inflammation and airway hyperresponsiveness.The physiological characteristics of children and adults are very different, and the compensatory ability is very strong. There are often no obvious symptoms at the early stage of attack, or only intermittent or persistent cough of different degrees, without typical chest tightness and asthma.However, at this time, certain physiological indicators such as blood oxygen, heart rate, respiratory rate may have been significantly abnormal.If the disease continues to deteriorate and progresses to decompensation, it can quickly move from an asymptomatic state to a failure stage.Therefore, dynamic and accurate acquisition of real-time vital signs and assessment is of great significance for early warning and improvement of prognosis of asthma attacks in children.Intelligent wearable devices can be used to acquire real-time physiological index data of users, such as heart rate, blood oxygen, exercise and sleep dynamic data.An in-depth analysis of long-term and multi-scene dynamic data before and after asthma attacks can establish an early warning model for children with acute asthma attacks by wearable wrist smart devices, which may provide important help for severity assessment, follow-up tracking and out-of-hospital prevention and control of the disease.

Study Overview

Status

Recruiting

Conditions

Intervention / Treatment

Detailed Description

this project is selected 200 cases of children with asthma diagnosis definitely, collection and heart rate, blood oxygen, exercise and sleep dynamic data, followed up for 3 to 6 months (at least 3 months), records of clinical asthma attacks and clinical data, through the cloud data analysis and deep learning, analysis of children with asthma attacks and multiple physiological parameters (heart rate, blood oxygen, movement and the dynamic data of sleep, etc.), the connection between the building of asthma early warning and illness severity hierarchical evaluation model.Then choose 200 cases of diagnosis in clinical practice to determine follow-up, patients with asthma children to observe to verify the exactness of the model of asthma attack early warning, and according to the collected data to further improve, calibration model, designed to provide children with family members and medical personnel of an asthma attack warning and follow-up management wearable auxiliary equipment and management platform.

Study Type

Observational

Enrollment (Anticipated)

200

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

  • Name: Sun K Huang, master
  • Phone Number: +86 13512750833
  • Email: amwkdga@163.com

Study Locations

  • China
    • Guangdong
      • Guangzhou, Guangdong, China, 510120
        • Recruiting
        • Guangzhou Institute of Respiratory Disease
        • Contact:
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

3 years to 14 years (Child)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Children with diagnosed asthma.

Description

Inclusion Criteria:

Clinical diagnosis of asthma.

Exclusion Criteria:

Severe chronic diseases with organ dysfunction and dyspnea.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Case-Only
  • Time Perspectives: Prospective

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Heart rate
Time Frame: up to 24 weeks
Follow-up monitoring of confirmed asthma patients was conducted based on intelligent wearable devices, and multiple physiological parameters such as heart rate were collected in the pre-attack, attack and remission stages
up to 24 weeks
blood oxygen
Time Frame: up to 24 weeks
Follow-up monitoring of confirmed asthma patients was conducted based on intelligent wearable devices, and blood oxygen were collected in the pre-attack, attack and remission stages
up to 24 weeks
exercise
Time Frame: up to 24 weeks
Follow-up monitoring of confirmed asthma patients was conducted based on intelligent wearable devices, and exercise were collected in the pre-attack, attack and remission stages
up to 24 weeks
sleep
Time Frame: up to 24 weeks
Follow-up monitoring of confirmed asthma patients was conducted based on intelligent wearable devices, and sleep were collected in the pre-attack, attack and remission stages
up to 24 weeks

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
weight
Time Frame: up to 24 weeks
Weight of enrolled asthmatic patients
up to 24 weeks
height
Time Frame: up to 24 weeks
Height of enrolled asthmatic patients
up to 24 weeks

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Guangzhou Institute of Respiratory Disease

Investigators

  • Principal Investigator: Qin C Pan, master, Guangzhou Institute of Respiratory Disease

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

June 1, 2021

Primary Completion (Anticipated)

December 30, 2024

Study Completion (Anticipated)

December 30, 2024

Study Registration Dates

First Submitted

August 15, 2021

First Submitted That Met QC Criteria

February 7, 2022

First Posted (Actual)

February 17, 2022

Study Record Updates

Last Update Posted (Actual)

February 17, 2022

Last Update Submitted That Met QC Criteria

February 7, 2022

Last Verified

February 1, 2022

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • GuangzhouIRD-LSUN2

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

No

IPD Plan Description

Within six months after the trial complete.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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