ClinicalTrials.gg
Not yet recruitingNCT07794007Updated Aug 31, 2026

Automated Apnoea Detection in Preterms on Non-invasive Ventilation

An observational study in Apnoea and Prematurity, sponsored by King's College Hospital NHS Trust. Not yet recruiting. Open to participants aged Up to 36 Weeks. Per ClinicalTrials.gov, last updated 2026-08-31.

Sponsored by King's College Hospital NHS Trust · Observational

Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
30
Ages
Up to 36 Weeks
Sex
All
01

Study summary

The aim of this study is to monitor the frequency of apnoeas (pauses in breathing) on various methods of non-invasive respiratory support that are detected by an automated machine-learning (ML) model based on diaphragmatic electromyography (dEMG), in infants born at less than 32 weeks of gestation.

Our hypothesis is that the ML algorithm will improve identification of apnoeic episodes and their classification to central or obstructive.

The study will measure outcomes including the number of apnoeic episodes during the monitoring period, their classification to central and obstructive apnoeas and the predictive ability of the machine-learning algorithm to correctly identify and classify these episodes compared to those documented in nursing charts. Correct classification of apnoeic episodes may help identify underlying causes that require specific intervention.

Read the detailed description

When the clinical team identifies an infant is eligible for enrolment to the study and following verbal assent of the attending neonatal consultant, a member of clinical staff will initially approach the parents/ legal guardians of eligible infants and if they agree, a researcher. The parents will be provided with an information sheet about the study. The researchers will answer questions and respond to any concerns in a face-to-face meeting. Written informed consent will be obtained.

Electrical activity of the diaphragm, airway pressure, flow and peripheral oxygen saturation levels will be recorded for a duration of eight hours. Transcutaneous diaphragm EMG (sEMG) will be monitored using three surface electrodes (3M Red Dot Foam monitoring electrode 2228, 3M, United Kingdom) that are placed on the infant's abdomen and sternum. The electrodes are connected to a small battery-operated measuring device (SERA, DEMCON; Makawi Medical Systems, the Netherlands) that amplifies and pre-processes the signals received from the electrodes. The pre-processed signals are sent via a Bluetooth connection to a receiving unit that performs higher level processing to derive the EMG signal and other measurements. These results are communicated via a wired connection to a bedside computer running SERA Graphical User Interface (GUI) software.

Airway pressure and flow signals will be measured by a flow sensor and pressure tube (Sensirion AG, Stäfa, Switzerland) that will be placed between the exit of the SLE6000/ SLE6000N ventilators (Inspiration Healthcare, Croydon, UK) and the tubing that is attached to the patient. This will ensure pressure and flow data are recorded simultaneously with the sEMG signal. These data will also be fed to the SERA measuring device.

An SpO2 cable (SLE uSpO2, Inspiration Healthcare, Croydon, UK) will be connected to the patient and the ventilator for continuous (second by second) recording of SpO2 levels. These data will be time synced using post processing.

Participants will also be connected to the standard bedside monitor (Phillips Intellivue MX750) for the whole duration of the study.

Surface EMG, pressure, flow and SpO2 data will be synchronised. Two researchers will identify all apnoeic episodes and classify them as central, obstructive or noise.

The ML algorithm will also be used to identify and classify apnoeic episodes that occurred during the study duration.

Comparisons will be made between the apnoeic episodes identified the researchers, the ML algorithm and the nursing staff electronic patient records. These records include classification of an episode as apnoea or desaturation or bradycardia, its duration and any actions taken.

02

Conditions studied

  • Apnoea
  • Prematurity

Keywords

  • apnoea detection
  • apnoea classification
  • obstructive apnoea
  • central apnoea
  • preterm infant
03

In context

Apnea

282 studies on the registry are indexed under Apnea; 54 are open to participants now.

This study's planned enrollment of 30 is below the median of 60 across 78 observational studies indexed under Apnea.

Browse Apnea studies →

Lead sponsor

King's College Hospital NHS Trust is the lead sponsor of 171 studies on the registry; 56 are open to participants now.

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

04

Who can participate

Ages eligible
Up to 36 Weeks
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

Infants admitted and cared for at the Neonatal Intensive Care Unit at King's College Hospital

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

Preterm infants \<32 weeks of gestation at birth and up to 36 weeks postmenstrual age, on non-invasive respiratory support including:

  • non-invasive positive pressure ventilation (NIPPV)
  • nasal continuous positive airway pressure (CPAP)
  • heated humidified high flow nasal cannula (HHFNC) oxygen, either as primary or post extubation respiratory support.

Exclusion criteria

Exclusion Criteria:

  • Infants born above 32 weeks of gestation.
  • Infants with known major congenital abnormalities.
  • Infants above 36 weeks postmenstrual age (PMA).
  • Non-English speakers.
05

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
30 participants (estimated)
Patient registry
No

Interventions

  • Diagnostic testDiaphragmatic electromyography

    Electrical activity of the diaphragm, airway pressure, flow and peripheral oxygen saturation levels will be recorded for a duration of eight hours. Transcutaneous diaphragm EMG (sEMG) will be monitored using three surface electrodes (3M Red Dot Foam monitoring electrode 2228, 3M, United Kingdom) that are placed on the infant's abdomen and sternum. The electrodes are connected to a small battery-operated measuring device (SERA, DEMCON; Makawi Medical Systems, the Netherlands) that amplifies and pre-processes the signals received from the electrodes. The pre-processed signals are sent via a Bluetooth connection to a receiving unit that performs higher level processing to derive the EMG signal and other measurements. These results are communicated via a wired connection to a bedside computer running SERA Graphical User Interface (GUI) software. Airway pressure and flow signals will be measured by a flow sensor and pressure tube (Sensirion AG, Stäfa, Switzerland) that will be placed betwe

    Also known as: Airway pressure and flow measurements, Recording of peripheral oxygen saturation levels

06

What researchers measure

Primary outcomes

  1. Number of apnoeic episodes correctly identified by the automated machine learning model

    Time frame: From enrollment to the end of monitoring at eight hours

Secondary outcomes

  1. The proportion of apnoeas correctly classified as central or obstructive by the automated machine learning model

    Time frame: From enrollment to the end of monitoring at eight hours

07

Study locations

No study locations are listed for this record.

08

References and documents

Individual participant data

Plan to share: No

No publications or documents are linked to this record.

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Start is estimated for Sep 2026; primary completion for Jul 2027, 10 months later.

Of 35 observational studies under Apnea, half reached primary completion within 23 months of starting (the median), counting those still running; a quarter within 14 and three quarters within 38. This study's planned 10 months is below that.

How these figures are worked out, and which studies are left out of them.

Registered
Aug 25, 2026
First posted
Aug 31, 2026
StartEst.
Sep 7, 2026
Primary completionEst.
Jul 27, 2027
CompletionEst.
Jul 27, 2027
Last update
Aug 31, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Aug 31, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT07794007
Responsible party
Sponsor
First posted
Aug 31, 2026
Start date
Sep 7, 2026 (estimated)
Primary completion
Jul 27, 2027 (estimated)
Completion
Jul 27, 2027 (estimated)
Last update
Aug 31, 2026

Study contacts

Ourania Kaltsogianni, MD (Res)
Contact
ourania.kaltsogianni@nhs.net
0044+02032999000 ext. 38494
Anne Greenough, Professor
principal investigator · King's College Hospital NHS Trust

Oversight

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

Not currently enrolling

This study is not yet recruiting, as verified in Aug 2026. You cannot join it, but the record below documents what was studied.

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