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A Clinical Trial Evaluating the Effectiveness and Safety of a mmWave Radar Based Sleep Respiratory Monitoring System

Not Applicable
Recruiting
Conditions
Sleep Breathing Disorders
Interventions
Diagnostic Test: Sleep Respiratory Monitoring System
Registration Number
NCT06038006
Lead Sponsor
Changsha Tsingray Technology Co., Ltd.
Brief Summary

This study compares the diagnostic capability of a millimeter-wave radar-based Sleep Respiratory Monitoring System to the gold standard polysomnography.

Detailed Description

The gold standard for the diagnosis of sleep breathing disorders is polysomnography (PSG), which requires contact sensors, in-lab monitoring and manual scoring by experts, limiting the comfortability of patients and accessibility of diagnosis. A novel contactless millimeter-wave radar-based Sleep Respiratory Monitoring System is developed, in order to assist sleep staging and the diagnosis of sleep breathing disorders.

The Sleep Respiratory Monitoring System is capable of collecting, recording, storing and analyzing breathing, heartbeat, spatial distribution of full-body movements, etc. via a millimeter-wave radar, and oxygen saturation, pulse, etc. via a pulse oximeter. A dedicated algorithm enables the system to detect respiratory events and estimate sleep stages based on the collected data. The device and algorithms are to be validated in this study by comparison with PSG.

Recruitment & Eligibility

Status
RECRUITING
Sex
All
Target Recruitment
150
Inclusion Criteria
  • Participants is 18 years of age or older.
  • Participants is willing to undergo overnight polysomnography and Sleep Respiratory Monitoring System testing.
Exclusion Criteria
  • Participants with severe cardiovascular and cerebrovascular diseases, severe liver, kidney, and lung dysfunction.
  • Participants with unstable respiratory diseases, or other diseases in acute phase.
  • Long-term or current use of barbiturates, benzodiazepines, sedatives and other drugs that may affect sleep.
  • Participants that undergo CPAP treatment during the night of the trial.
  • Participants with other sleep disorders, e.g. insomnia.
  • Participants with mental disorders.
  • Participants that refuse to sign informed consents.
  • Participants unable to cooperate with medical examination.
  • Participants excluded in the opinion of the investigator.

Study & Design

Study Type
INTERVENTIONAL
Study Design
SINGLE_GROUP
Arm && Interventions
GroupInterventionDescription
ParticipantsSleep Respiratory Monitoring SystemThe only arm containing participants of this study.
Primary Outcome Measures
NameTimeMethod
Diagnostic Sensitivity (AHI≥5) of Sleep Respiratory Monitoring System (SRMS) Compared with Polysomnography (PSG)Day 1

The proportion of participants with Apnea Hypopnea Index (AHI) ≥ 5 events per hour according to SRMS in participants with AHI ≥ 5 events per hour according to PSG scored with American Academy of Sleep Medicine (AASM) v2.6 Guidelines. The point estimation of diagnostic sensitivity of SRMS will be compared to the threshold of 0.8, with the half width of 95% confidence interval being no more than 0.1.

Diagnostic Sensitivity (AHI≥30) of Sleep Respiratory Monitoring System (SRMS) Compared with Polysomnography (PSG)Day 1

The proportion of participants with Apnea Hypopnea Index (AHI) ≥ 30 events per hour according to SRMS in participants with AHI ≥ 30 events per hour according to PSG scored with American Academy of Sleep Medicine (AASM) v2.6 Guidelines. The point estimation of diagnostic sensitivity of SRMS will be compared to the threshold of 0.8, with the half width of 95% confidence interval being no more than 0.1.

Diagnostic Specificity (AHI≥5) of Sleep Respiratory Monitoring System (SRMS) Compared with Polysomnography (PSG)Day 1

The proportion of participants with Apnea Hypopnea Index (AHI) \< 5 events per hour according to SRMS in participants with AHI \< 5 events per hour according to PSG scored with American Academy of Sleep Medicine (AASM) v2.6 Guidelines. The point estimation of diagnostic specificity of SRMS will be compared to the threshold of 0.8, with the half width of 95% confidence interval being no more than 0.1.

Diagnostic Specificity (AHI≥30) of Sleep Respiratory Monitoring System (SRMS) Compared with Polysomnography (PSG)Day 1

The proportion of participants with Apnea Hypopnea Index (AHI) \< 30 events per hour according to SRMS in participants with AHI \< 30 events per hour according to PSG scored with American Academy of Sleep Medicine (AASM) v2.6 Guidelines. The point estimation of diagnostic specificity of SRMS will be compared to the threshold of 0.8, with the half width of 95% confidence interval being no more than 0.1.

Diagnostic Sensitivity (AHI≥15) of Sleep Respiratory Monitoring System (SRMS) Compared with Polysomnography (PSG)Day 1

The proportion of participants with Apnea Hypopnea Index (AHI) ≥ 15 events per hour according to SRMS in participants with AHI ≥ 15 events per hour according to PSG scored with American Academy of Sleep Medicine (AASM) v2.6 Guidelines. The point estimation of diagnostic sensitivity of SRMS will be compared to the threshold of 0.8, with the half width of 95% confidence interval being no more than 0.1.

Diagnostic Specificity (AHI≥15) of Sleep Respiratory Monitoring System (SRMS) Compared with Polysomnography (PSG)Day 1

The proportion of participants with Apnea Hypopnea Index (AHI) \< 15 events per hour according to SRMS in participants with AHI \< 15 events per hour according to PSG scored with American Academy of Sleep Medicine (AASM) v2.6 Guidelines. The point estimation of diagnostic specificity of SRMS will be compared to the threshold of 0.8, with the half width of 95% confidence interval being no more than 0.1.

Secondary Outcome Measures
NameTimeMethod
Intra-Class Correlation Coefficient (ICC) of Rapid Eye Movement (REM) Sleep ProportionDay 1

ICC between the proportion of REM sleep time in total sleep time (TST) according to Sleep Respiratory Monitoring System (SRMS) and the proportion of stage R sleep time in TST according to Polysomnography (PSG), using one-way random effects model.

Intra-Class Correlation Coefficient (ICC) of Light Sleep ProportionDay 1

ICC between the proportion of light sleep time in total sleep time (TST) according to Sleep Respiratory Monitoring System (SRMS) and the proportion of stage N1 sleep time plus stage N2 sleep time in TST according to Polysomnography (PSG), using one-way random effects model.

Intra-Class Correlation Coefficient (ICC) of Deep Sleep ProportionDay 1

ICC between the proportion of deep sleep time in total sleep time (TST) according to Sleep Respiratory Monitoring System (SRMS) and the proportion of stage N3 sleep time in TST according to Polysomnography (PSG), using one-way random effects model.

Intra-Class Correlation Coefficient (ICC) of Apnea Hypopnea Index (AHI)Day 1

ICC between AHI according to Sleep Respiratory Monitoring System (SRMS) and AHI according to Polysomnography (PSG), using one-way random effects model.

Intra-Class Correlation Coefficient (ICC) of Total Sleep Time (TST)Day 1

ICC between TST according to Sleep Respiratory Monitoring System (SRMS) and TST according to Polysomnography (PSG), using one-way random effects model.

Trial Locations

Locations (1)

Shanghai Sixth People's Hospital

🇨🇳

Shanghai, Shanghai, China

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