CI

At a glance

ClinicalIndex Comparison Record
N/ACompleted· 144 enrolled
Drug / intervention
Cereset Researchdevice
Likely dose
Not stated in record
Structured eligibility isn't available for this trial yet — see the full criteria in the Eligibility tab below.

Standardized by ClinicalIndex from the ClinicalTrials.gov record · verify against the source.

Search/NCT04682197
NCT04682197N/ACompleted
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Cereset Research To Reduce Stress In Healthcare Workers In The Time Of COVID-19

Wake Forest University Health Sciences·interventional·Posted Dec 23, 2020·Updated Sep 19, 2024

In Brief

A clinical study evaluating Cereset Research for Health Personnel and 6 related conditions. Completed, enrolled 144 participants across 1 site.

Detailed Summary

The purpose of this study is to evaluate the use of Cereset Research to improve the symptoms of stress in healthcare workers in an open label, waitlist controlled pilot clinical trial, during the period of COVID-19.

Study Details

Study Typeinterventional
Allocation--
Masking--
Primary Purpose--
ConditionsHealth Personnel, Stress, Anxiety, Insomnia, Hyperarousal, Corona Virus Infection, Covid19
CountriesUnited States
CollaboratorsThe Susanne Marcus Collins Foundation, Inc.

Timeline

N/ACompletedFinished
202120222023202420252026
First PostedDec 23, 2020
Enrollment StartDec 14, 2021
Primary CompletionAug 23, 2023
Study CompletionOct 10, 2023
TodayJul 2, 2026
Enrollment to primary: 1.7 yearsPosted 5.5 years ago

Interventions

Cereset Researchdevice

The upgraded platform for medical research using the HIRREM technology has been rebranded as Cereset Research® (CR). This system uses the same core technology and algorithms to echo brainwaves in real-time using audible tones, as with HIRREM. The CR system also includes 64-bit processing architecture for faster feedback, the use of 4 sensors, and the use of standard protocols (with flexibility regarding the length and sequencing of the standard protocols), all done with eyes closed. Four sensors are applied to the scalp at a time. However, only two sensors are actively echoing feedback. The software automatically switches from one sensor pair to the other when needed. This reduces the number of sensor placement changes needed, resulting in shorter session time and fewer interruptions.