Characterising the nature, and clinical significance of body and limb movements during adult sleep using multi-site accelerometry

Not Applicable

• Conditions: Periodic leg movement syndrome; Obstructive sleep apnoes; insomnia; parasomnia; Neurological - Other neurological disorders; Respiratory - Sleep apnoea; Mental Health - Other mental health disorders

• Registration Number: ACTRN12611000119998
• Lead Sponsor: The University of Queensland

Brief Summary

Not available

Detailed Description

Not available

Study Timeline

• Results First Posted: 1900-01-01
• Study Start: 2011-02-02
• Last Update Posted: 13 January 2020

Recruitment & Eligibility

• Status: ot yet recruiting
• Sex: All
• Target Recruitment: 50

Inclusion Criteria

Patients referred to The Prince Charles Hospital Sleep Service for an overnight diagnostic polysomnogram for any reason

Exclusion Criteria

- Women who are pregnant
- People who are highly dependant on medical care
- Perople with degenerative neuromuscular disorders such as Parkinson's hisease and Huntington's chorea where a resting involuntary tremor is present
-People, who as observed on the PSG, have an uninterpretable EEG

Study & Design

• Study Type: Observational
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Correlation between amplitude of movement detected using accelerometry with amplitude of movement using tibialis anterior EMG[At time of PSG (T=0)];Correlation between amplitude of movement detected using accelerometry with amplitude of movement using piezo electric movement sensors[At time of PSG (T=0)];Area under ROC curve for predicting arousal based on movement observed using accelerometry, compared to clinician scored arousal based on full PSG[At time of PSG (T=0)]

Secondary Outcome Measures

Name	Time	Method
Area under ROC curve for predicting periodic leg movement based on movement observed using accelerometry, compared to clinician scored using EMG and piezo gauges[At the time of PSG (T=0)];- Clinician identification of movement artefact in PSG channels will be compared with prediction of movement artefact using accelerometry data alone[At the time of PSG (T=0)];- Indicies derived from accelerometry will be compared to standardised surveys and PSG based measures (sleep efficiency) in their ability to estimate quality of sleep[At the time of PSG (T=0)]