This is an observational study. Patients who fulfill all inclusion criteria and none of the exclusion criteria will be enrolled in the study, be neurologically evaluated and will go through a series of EEG recordings during their hospitalization. EEG recordings will be analyzed using proprietary computational analyses.
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
OBSERVATIONAL
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.
Soroka University Medical Center
Beersheba, Israel
Correlation between consciousness level changes as evaluated by current clinical tools (i.e. GCS) and Brain Activity Features extracted using the Neurosteer technology.
Consciousness level changes will be evaluated by: 1. Glasgow Coma Scale (GCS). A commonly used assessment tool that evaluates level of consciousness following a traumatic brain injury. The GCS score can range from 3 (completely unresponsive) to 15 (responsive). Generally, the brain injury is classified as: Severe, \< 8-9, Moderate, 9-12 and Mild, ≥ 13. 2. Neurosteer system (single channel EEG recording during cognitive auditory tasks). 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.
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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