- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05524415
Evaluation of Neurosteer System in Stroke Patients
Evaluation of Neurosteer System (Quantitative EEG Features) in Stroke Patients Suffering From Disorders of Consciousness
Study Overview
Detailed Description
The abnormal state of consciousness is difficult to define, measure and characterize. Many of the terms mean different things to different people, and may prove inaccurate when transmitting and recording information regarding the state of consciousness of a patient. Modern clinical assessments of level of consciousness such as the Glasgow Coma Scale (GCS) or the Grady Coma Scale, in addition to being subjective assessments, are incomplete and insufficient as they are based on assessment of responsiveness only.
An objective tool to asses a level of consciousness is therefore needed. Such a tool may be used to determine the level of consciousness independent of personal interpretation and/or variance between clinicians and provide consistency in assessment across patients and between medical facilities.
The Neurosteer system provides objective neurological biomarkers using a wearable easy-to-use affordable system. The system facilitate the capture and interpretation of EEG data with only a single patch of electrodes, attached on the subject's forehead. Neurosteer examination includes completing auditory tasks while measuring brain activity with the device. The data is analyzed using machine learning methods to produce biomarkers, enabling a report of the patient's activity in real time and offline. The examination is easy to preform and can be conducted in every clinic or in patients' homes.
In this study, research clinical staff (RCS) will identify potential subjects after being hospitalized in the department and will examine the eligibility of subject according to inclusion and exclusion criteria.
When a legal guardian is assigned, guardian will sign the Informed Consent Form (ICF). Otherwise, RCS will approach an independent physician who will be informed about the study and its goals. Independent physician will evaluate patient's eligibility for study. RCS will also inform patient's family/accompanying individuals on study's objective and design.
RCS will set up sanitized Neurosteer equipment at the patient's bed-side and record 72 consecutive hours of resting-state EEG. Level of consciousness will be assessed every 4 hours by the trained research personnel. Every 4 hours an auditory stimulation of 12 minutes will be played to the subject to assist in delirium assessment.
Level of consciousness will be assessed by validated screening tools (GCS) and the Neurosteer technology.
Study Type
Contacts and Locations
Study Locations
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Beer Sheva, Israel
- Soroka university medical center
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Men and women over the age of 18.
- Hospitalized in Soroka University Medical Center (SUMC) Neurology department with a diagnosis of Stroke.
- NIHSS score ≥6.
Exclusion Criteria:
- Damage to integrity of scalp and/or skull.
- Any verbal or non-verbal form of objection from patient.
- Any verbal or non-verbal form of objection from patient's family member or significant other.
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
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Patients
Patients who are hospitalized in Soroka University Medical Center (SUMC) Neurology department with a diagnosis of acute stroke
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The system is composed of hardware and software modules that facilitate the capture and interpretation of electrophysiological data as well as enable viewing the processed data in real time and offline.
An electrode patch is attached on the subject's forehead to capture the electrophysiological signal.
The signal is sent via low energy Bluetooth to an EEG Monitor.
The signal is then sent via Wi-Fi to the cloud where the data is stored on a HIPAA compliant server.
Data analysis performed in the cloud transforms the electrophysiological signal into easily readable data of brain activity.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
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Correlation between consciousness level changes as evaluated by current clinical tools (i.e. GCS) and Brain Activity Features extracted using the Neurosteer technology.
Time Frame: Level of consciousness will be assessed every 4 hours, up to 3 days (72 hours) after joining the study.
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Consciousness level changes will be evaluated by:
Using data analysis (a variant of the wavelet packet analysis and the best basis algorithm), the EEG signal is transformed into brain activity features (e.g. ST4, A0). Pearson correlation will be calculated between the mean activity of the EEG features and individual's GCS scores. |
Level of consciousness will be assessed every 4 hours, up to 3 days (72 hours) after joining the study.
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Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Gal Ifergan, Soroka university medical center
Publications and helpful links
General Publications
- Molcho L, Maimon NB, Regev-Plotnik N, Rabinowicz S, Intrator N, Sasson A. Single-Channel EEG Features Reveal an Association With Cognitive Decline in Seniors Performing Auditory Cognitive Assessment. Front Aging Neurosci. 2022 May 30;14:773692. doi: 10.3389/fnagi.2022.773692. eCollection 2022.
- Maimon NB, Bez M, Drobot D, Molcho L, Intrator N, Kakiashvilli E, Bickel A. Continuous Monitoring of Mental Load During Virtual Simulator Training for Laparoscopic Surgery Reflects Laparoscopic Dexterity: A Comparative Study Using a Novel Wireless Device. Front Neurosci. 2022 Jan 20;15:694010. doi: 10.3389/fnins.2021.694010. eCollection 2021.
- Curcic J, Vallejo V, Sorinas J, Sverdlov O, Praestgaard J, Piksa M, Deurinck M, Erdemli G, Bugler M, Tarnanas I, Taptiklis N, Cormack F, Anker R, Masse F, Souillard-Mandar W, Intrator N, Molcho L, Madero E, Bott N, Chambers M, Tamory J, Shulz M, Fernandez G, Simpson W, Robin J, Snaedal JG, Cha JH, Hannesdottir K. Description of the Method for Evaluating Digital Endpoints in Alzheimer Disease Study: Protocol for an Exploratory, Cross-sectional Study. JMIR Res Protoc. 2022 Aug 10;11(8):e35442. doi: 10.2196/35442.
Study record dates
Study Major Dates
Study Start (Estimated)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- SCRC18021
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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