Analyze Sleep Stages by Portable ECG Device
1 other identifier
observational
35
1 country
1
Brief Summary
Sleep is a fundamental need for human and is associated with the working performance and the disease occurrence. Furthermore, the amount of people with sleep disorder or apnea increased largely. Thus, the analysis of sleep stages and the measurement of sleep quality became more important recently. In clinical settings, the analysis of daily sleep quality depends on actigraphy and sleep log. However, the uses of actigraphy and sleep log are not really convenient for patients. In this trial, the investigators will measure the subjects' ECG signal and movement using a portable ECG device with motion sensor. On the other hand, the sleep stages are also obtained from the current wide-established measurement- polysomnography. The ECG signals, movements, and sleep stages will be analyzed by our algorithm of artificial neural network. Then, the investigators can obtain the preliminary analysis of sleep quality can be obtained by using ECG device with our algorithm. It is helpful for doctors to realize the patent's sleep quality quickly
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for all trials
Started May 2016
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
May 4, 2016
CompletedStudy Start
First participant enrolled
May 4, 2016
CompletedFirst Posted
Study publicly available on registry
May 9, 2016
CompletedPrimary Completion
Last participant's last visit for primary outcome
February 27, 2017
CompletedStudy Completion
Last participant's last visit for all outcomes
August 2, 2017
CompletedFebruary 8, 2018
February 1, 2018
10 months
May 4, 2016
February 7, 2018
Conditions
Outcome Measures
Primary Outcomes (1)
RR interval changes compared to the report of polysomography
The difference of RR interval in healthy subjects and obstructive sleep apnea subjects
8 hours
Study Arms (2)
Healthy
subjects without heart disease or arrhythmia, no evidence of obstructive sleep apnea
OSA
obstructive sleep apnea
Interventions
Eligibility Criteria
outpatient in chest clinic
You may qualify if:
- OSA: OPD OSA patients; Healthy: no OSA
You may not qualify if:
- heart disease
- arrhythmia
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Far Eastern Memorial Hospital
New Taipei City, 220, Taiwan
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Ping-huai Wang, MD
Far Eastern Memeorial Hospital
Study Design
- Study Type
- observational
- Observational Model
- CASE ONLY
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Chief
Study Record Dates
First Submitted
May 4, 2016
First Posted
May 9, 2016
Study Start
May 4, 2016
Primary Completion
February 27, 2017
Study Completion
August 2, 2017
Last Updated
February 8, 2018
Record last verified: 2018-02
Data Sharing
- IPD Sharing
- Will share