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CompletedNCT04920175Updated Jan 24, 2025

Real-time State of Vigilance Monitor for the Neonatal Intensive Care Unit

An observational study in Sleep Disturbance in Infancy (Disorder) and Neonatal Disease, sponsored by University of Michigan. Completed at 1 site in United States. Open to participants aged 1 Day to 1 Year. Per ClinicalTrials.gov, last updated 2025-01-24.

Sponsored by University of Michigan · Observational

Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
39
Ages
1 Day to 1 Year
Sex
All
01

Study summary

The goal of this observational study is to collect data to develop a complete package (hardware, user interface software and algorithms) that can monitor sleep-wake stages in neonates. Real-time EEG data will be used to develop and refine the prototype monitor's ability to provide direct real-time information about sleep-wake state. The study design includes multiple iterative training/testing stages to refine the prototype. The study is divided into multiple sub-aims conducted in parallel: data acquisition, algorithm development (including comparison between gold-standard polysomnogram vs. novel algorithm markings of sleep-stages), and graphical user interface software development. The data acquisition and algorithm development are iterative and linked, such that the prototype algorithm from one iteration will be deployed real-time during the next iteration of data acquisition. This allows verification that the algorithm can perform real-time and provides prospective testing data, which is later folded into the training data for the next iteration, for verification and validation of the system.

Read the detailed description

Use Case: Disruption of sleep is a common experience of hospitalized patients of all ages, especially if they are in an intensive care unit (ICU); infants in the NICU often stay weeks to months. The quality of neonatal sleep is strongly associated with later neurodevelopment. Abnormal sleep quality in neonates is associated with less attention orienting at 4 months, increased distractibility, decreased developmental function at 12-24 months, and lower emotional regulation and cognitive development at age 5. Yet disruptions to sleep are frequent: the study team has found that NICU neonates are handled by staff with a median interval of 2.3 min. Handling occurred across all sleep-wake stages and frequently resulted in arousals, awakenings, and respiratory events.

The study will employ multiple levels of noise reduction and signal quality assessment, tailored to the specific needs of the algorithm and to the NICU environment. The final algorithm will include four sleep-wake stages (awake, quiet/non-REM sleep, active/REM sleep, indeterminate/transitional sleep). The complete algorithm is intended to do what no existing algorithm does, as it uniquely combines the assessment of data quality, ability to run real-time on un-curated data, and identification of four sleep-wake stages. In this observational study, validation of the monitor "read-out" in comparison to the gold standard polysomnogram happens offline, after the completion of data collection from the subject.

Because this is an observational study to develop and validate a new physiologic monitoring modality (the bedside sleep monitor), there is no subject intervention. No change in care for these study subjects is envisioned to result from use of this prototype monitor. It is hoped that the proposed technology will create a unique solution that will one day be deployed in the NICU.

Potential Future Research Use of Monitor: The study team hypothesizes that adjusting the timing of NICU patient contact to avoid multiple sleep disruptions might improve sleep in the NICU, which could then lead to better neurodevelopmental outcomes. However, the efficacy of this approach would need to be proved in randomized controlled trials. The conduct of such a future randomized clinical trial would be facilitated by availability of a real-time, objective monitor of sleep-wake states like what the study team proposes to develop. However, the present observational study serves as an initial stage of research that would lead up to that kind of trial.

02

Conditions studied

  • Sleep Disturbance in Infancy (Disorder)
  • Neonatal Disease

Keywords

  • NICU
  • Neonatal Sleep
03

In context

Infant, Newborn, Diseases

134 studies on the registry are indexed under Infant, Newborn, Diseases; 30 are open to participants now.

This study's enrollment of 39 is below the median of 114 across 50 observational studies indexed under Infant, Newborn, Diseases.

Browse Infant, Newborn, Diseases studies →

Lead sponsor

University of Michigan is the lead sponsor of 1,475 studies on the registry; 196 are open to participants now.

Of its 162 completed or terminated interventional studies of FDA-regulated products, 128 (79%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
1 Day to 1 Year
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Probability sample

Study population

Newborns admitted to the Newborn ICU in C\&W Mott Hospital

Inclusion criteria

  • Admitted to the Newborn ICU in C\&W Mott Hospital
  • >/= 30 weeks gestational age at the time of birth (>/= 33 weeks post-conceptional age at enrollment)

Exclusion criteria

Exclusion Criteria:

  • Any diagnosis, patient care, or anticipated patient care that is likely to interfere with the 12 hour recording or would make the recording dangerous to the participant
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Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
39 participants (actual)
Patient registry
No

Groups and cohorts

  • NICU Cohort

    Participants will undergo a standard polysomnogram

    Other: Novel Real-time Neonatal Sleep Stage Detection Algorithm

Interventions

  • OtherNovel Real-time Neonatal Sleep Stage Detection Algorithm

    Comparison of Novel Real-time Neonatal Sleep Stage Detection Algorithm to gold standard concurrent polysomnogram.

06

What researchers measure

Primary outcomes

  1. Negative predictive value (NPV) for detection of sleep (any stage)

    Negative predictive value of monitor compared to gold-standard polysomnogram

    Time frame: 12 hours

Secondary outcomes

  1. NPV for detection of REM sleep

    Negative predictive value of monitor compared to gold-standard polysomnogram

    Time frame: 12 hours

  2. NPV for detection of non-REM sleep

    Negative predictive value of monitor compared to gold-standard polysomnogram

    Time frame: 12 hours

  3. Positive predictive value (PPV) of Sleep

    Positive predictive value of monitor compared to gold-standard polysomnogram

    Time frame: 12 hours

  4. Positive predictive value (PPV) of REM sleep

    Positive predictive value of monitor compared to gold-standard polysomnogram

    Time frame: 12 hours

  5. Positive predictive value (PPV) of non-REM sleep

    Positive predictive value of monitor compared to gold-standard polysomnogram

    Time frame: 12 hours

07

Study locations

1 site
  • University of Michigan
    Ann Arbor, Michigan 48109, United States
08

References and documents

Individual participant data

Plan to share: No

No publications or documents are linked to this record.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jan 24, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT04920175
Lead sponsor
University of Michigan
Collaborators
University of Nebraska, National Heart, Lung, and Blood Institute (NHLBI)
Responsible party
John Barks (Professor of Pediatrics, University of Michigan) — Principal investigator
First posted
Jun 9, 2021
Start date
Sep 1, 2021
Primary completion
Dec 19, 2024
Completion
Dec 19, 2024
Last update
Jan 24, 2025

Study contacts

John Barks, MD
principal investigator · University of Michigan
Stephen Gliske, PhD
principal investigator · University of Nebraska

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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This study is completed, as verified in Jan 2025. You cannot join it, but the record below documents what was studied.

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