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OpenTrials
Completed

NCT Number: NCT03362346

Signal Analysis for Neurocritical Patients

The project uses big data analysis techniques such as wavelet transform and deep learning to analyze physiological signals from neurocritical patients and build a model to evaluate intracranial condition and to predict neurological outcome. By identification of correlations among these parameters and their trends, we may achieve early detection of anomalies and enhance the ability in judgement of current neurological condition and prediction of prognosis. By continuous input of the past and contemporary data in the ICU, the model will be modified repeatedly and its accuracy improves as the model grows. The model can be used to recognize abnormalities earlier and provide a warning system. Clinicians taking care of neurocritical patients can adjust their treatment policy and evaluate the outcome according to such system.

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Key information

Conditions

Brain Injuries, Acute Brain Diseases Brain Injuries Central Nervous System Diseases Craniocerebral Trauma Nervous System Diseases Trauma, Nervous System Wounds and Injuries

Age range

20 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Far Eastern Memorial Hospital

New Taipei City, 200, Taiwan

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Age equal to or older than 20 years
  • Neurocritical patients admitted to intensive care unit (ICU), including but not limited to traumatic brain injury, hemorrhagic stroke, ischemic stroke, brain infection, brain tumor and acute hydrocephalus.
  • Patients who have undergone cranial surgery and had intracranial pressure monitor inserted or external ventricular drainage. The central monitor of ICU is able to collect the data continuously

Exclusion criteria

  • Age younger than 20 years.
  • Continuous monitoring of intracranial pressure is not feasible.

Treatment and study plan

intracranial pressure monitoring

Device

The patients may have either intracranial pressure (ICP) monitor insertion or external ventricular drainage that can be used as ICP monitor.

Other names: physiological monitoring

Primary outcomes

  1. Neurological status

    Time frame: Discharge out of the intensive care unit, averaged 2 weeks

    Glasgow coma scale/Mortality

Sponsors and collaborators

Lead sponsor

Far Eastern Memorial Hospital

Other

Registry information

Official study title

Analysis of Physiological Signals From Neurocritical Patients in Intensive Care Units Using Wavelet Transform and Deep Learning

Important dates

Study start
2017
Primary completion
2018
Study completion
2018
First posted
Dec 5, 2017
Registry last updated
Jun 6, 2018

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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