Analyze Sleep Stages by Portable ECG Device

February 7, 2018 updated by: Ping-Huai Wang, Far Eastern Memorial Hospital
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

Study Overview

Status

Completed

Intervention / Treatment

Study Type

Observational

Enrollment (Actual)

35

Contacts and Locations

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

Study Locations

      • New Taipei, Taiwan, 220
        • Far Eastern Memorial Hospital

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

20 years and older (ADULT, OLDER_ADULT)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Sampling Method

Probability Sample

Study Population

outpatient in chest clinic

Description

Inclusion Criteria:

  • OSA: OPD OSA patients; Healthy: no OSA

Exclusion Criteria:

  • heart disease
  • arrhythmia

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

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Healthy
subjects without heart disease or arrhythmia, no evidence of obstructive sleep apnea
OSA
obstructive sleep apnea

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
RR interval changes compared to the report of polysomography
Time Frame: 8 hours
The difference of RR interval in healthy subjects and obstructive sleep apnea subjects
8 hours

Collaborators and Investigators

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

Investigators

  • Principal Investigator: Ping-huai Wang, MD, Far Eastern Memeorial Hospital

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)

May 4, 2016

Primary Completion (ACTUAL)

February 27, 2017

Study Completion (ACTUAL)

August 2, 2017

Study Registration Dates

First Submitted

May 4, 2016

First Submitted That Met QC Criteria

May 5, 2016

First Posted (ESTIMATE)

May 9, 2016

Study Record Updates

Last Update Posted (ACTUAL)

February 8, 2018

Last Update Submitted That Met QC Criteria

February 7, 2018

Last Verified

February 1, 2018

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

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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