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Trial registered on ANZCTR
Registration number
ACTRN12621000600842
Ethics application status
Approved
Date submitted
23/03/2021
Date registered
20/05/2021
Date last updated
20/05/2021
Date data sharing statement initially provided
20/05/2021
Type of registration
Retrospectively registered
Titles & IDs
Public title
Sleep parameter validation of a consumer home sleep monitoring device, EMFIT Quantified Sleep (QS), against Polysomnography
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Scientific title
Validation of EMFIT QS sleep measurements against Polysomnography in adults
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Secondary ID [1]
303761
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None
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Universal Trial Number (UTN)
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Trial acronym
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Linked study record
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Health condition
Health condition(s) or problem(s) studied:
Sleep disorders
321250
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Condition category
Condition code
Respiratory
319032
319032
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0
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Sleep apnoea
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Neurological
319346
319346
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0
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Other neurological disorders
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Intervention/exposure
Study type
Observational
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Patient registry
False
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Target follow-up duration
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Target follow-up type
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Description of intervention(s) / exposure
The EMFIT QS (Quantified Sleep), an unobtrusive, contact-free sleep monitoring device, that can be places under a bed mattress and is used for tracking the changes in individual’s sleep. This device provides heart and respiration rate measurements, a sleep stage estimation, sleep quality analysis, and heart rate variability.
Participants underwent a single-night clinical PSG study, and the same sleep measurements from PSG and EMFIT were simultaneously collected. Since EMFIT has been set up under the mattress, their usual sleep study by PSG has not been disrupted by EMFIT and they didn't notice the existence of the devices under the mattress.
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Intervention code [1]
320075
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Not applicable
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Comparator / control treatment
The sleep measurements from EMFIT is validated against those obtained from the gold standard, Polysomnography.
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Control group
Active
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Outcomes
Primary outcome [1]
326937
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validation of EMFIT QS measurement of sleep duration was determined by comparison with PSG measurements using Bland-Altman plots.
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Assessment method [1]
326937
0
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Timepoint [1]
326937
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Since the start of the data collection
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Primary outcome [2]
327527
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validation of EMFIT QS continuous measurements of heart rate was determined by comparison with PSG measurements using epoch-by-epoch analysis,
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Assessment method [2]
327527
0
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Timepoint [2]
327527
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Since the start of the data collection
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Primary outcome [3]
327556
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validation of EMFIT QS measurement of sleep onset latency was determined by comparison with PSG measurements using Bland-Altman plots.
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Assessment method [3]
327556
0
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Timepoint [3]
327556
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Since the start of the data collection
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Secondary outcome [1]
393186
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validation of EMFIT QS measurement of wake after sleep onset was determined by comparison with PSG measurements using Bland-Altman plots. The outcome is primary.
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Assessment method [1]
393186
0
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Timepoint [1]
393186
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Since the start of the data collection
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Secondary outcome [2]
395654
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validation of EMFIT QS measurement of sleep stages was determined by comparison with PSG measurements using Bland-Altman plots. The outcome is primary.
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Assessment method [2]
395654
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Timepoint [2]
395654
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Since the start of the data collection
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Eligibility
Key inclusion criteria
i. Enrolled in the Prince Charles Hospital Sleep Disorders Centre and undergoing some form of sleep study.
ii. At least 18 years of age
iii. Ability to read and converse in English.
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Minimum age
18
Years
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Maximum age
No limit
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Sex
Both males and females
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Can healthy volunteers participate?
No
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Key exclusion criteria
Other illnesses that will limit participation, including cognitive disorders preventing provision of informed consent, insomnia preventing sleep, and medication use that interferes with sleep
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Study design
Purpose
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Duration
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Selection
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Timing
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Statistical methods / analysis
The overall agreement between EMFIT and PSG was assessed using Bland-Altman plots. Also, pairwise comparison between the sleep summary measures and epoch-by-epoch analysis on the continuous measures of heart rate and sleep stages estimation have been done.
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Recruitment
Recruitment status
Completed
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Date of first participant enrolment
Anticipated
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Actual
4/12/2019
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Date of last participant enrolment
Anticipated
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Actual
23/07/2020
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Date of last data collection
Anticipated
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Actual
23/07/2020
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Sample size
Target
30
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Accrual to date
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Final
32
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Recruitment in Australia
Recruitment state(s)
QLD
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Recruitment hospital [1]
18988
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The Prince Charles Hospital - Chermside
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Recruitment postcode(s) [1]
33503
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4032 - Chermside
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Funding & Sponsors
Funding source category [1]
308169
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Other
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Name [1]
308169
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Commonwealth Scientific and Industrial Research Organisation
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Address [1]
308169
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Level 5 - UQ Health Sciences Building, Fig Tree drive, RBWH, Herston, QLD, 4029
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Country [1]
308169
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Australia
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Primary sponsor type
Other
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Name
Commonwealth Scientific and Industrial Research Organisation
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Address
Level 5 - UQ Health Sciences Building, Fig Tree drive, RBWH, Herston, QLD, 4029
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Country
Australia
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Secondary sponsor category [1]
308939
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None
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Name [1]
308939
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Nil
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Address [1]
308939
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Nil
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Country [1]
308939
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Ethics approval
Ethics application status
Approved
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Ethics committee name [1]
308154
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The Prince Charles Hospital Human Research Ethics Committee
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Ethics committee address [1]
308154
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Research, Ethics and Governance Unit Building 14 The Prince Charles Hospital Rode Road Chermside Qld 4032
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Ethics committee country [1]
308154
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Australia
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Date submitted for ethics approval [1]
308154
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Approval date [1]
308154
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07/11/2019
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Ethics approval number [1]
308154
0
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Summary
Brief summary
Current research provides strong support that there is a relationship between sleep disturbances and developing many diseases, such as cardiovascular diseases and dementia. This highlights the key role of sleep monitoring in identifying important changes in individual’s sleep at a very early stage. The EMFIT QS (Quantified Sleep), an unobtrusive, contact-free sleep monitoring device, is used for tracking the changes in individual’s sleep. This device provides heart and respiration rate measurements, a sleep stage estimation, sleep quality analysis, and heart rate variability. This study is an open label pilot trial to determine sensor validation.
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Trial website
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Trial related presentations / publications
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Public notes
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Contacts
Principal investigator
Name
109722
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Dr Qing Zhang
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Address
109722
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Australian e-Health Research Centre, CSIRO
Level 5, UQ Health Science Building, Fig Tree Drive, RBWH, Herston, QLD, 4029
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Country
109722
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Australia
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Phone
109722
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+61732533630
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Fax
109722
0
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Email
109722
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[email protected]
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Contact person for public queries
Name
109723
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Qing Zhang
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Address
109723
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Australian e-Health Research Centre, CSIRO
Level 5, UQ Health Science Building, Fig Tree Drive, RBWH, Herston, QLD, 4029
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Country
109723
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Australia
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Phone
109723
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+61732533630
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Fax
109723
0
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Email
109723
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[email protected]
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Contact person for scientific queries
Name
109724
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Qing Zhang
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Address
109724
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Australian e-Health Research Centre, CSIRO
Level 5, UQ Health Science Building, Fig Tree Drive, RBWH, Herston, QLD, 4029
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Country
109724
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Australia
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Phone
109724
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+61732533630
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Fax
109724
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Email
109724
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[email protected]
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Data sharing statement
Will individual participant data (IPD) for this trial be available (including data dictionaries)?
No
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No/undecided IPD sharing reason/comment
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What supporting documents are/will be available?
No Supporting Document Provided
Results publications and other study-related documents
Documents added manually
No documents have been uploaded by study researchers.
Documents added automatically
Source
Title
Year of Publication
DOI
Embase
A validation study of a ballistocardiograph sleep tracker against polysomnography.
2022
https://dx.doi.org/10.5664/jcsm.9754
N.B. These documents automatically identified may not have been verified by the study sponsor.
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